vicperotti/NFL data grouped with differences!.ipynb

## NFL data grouped with differences!.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "bF1PBsLuIq48"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import re\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import preprocessing\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "import joblib\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-gilZTw_Mo-t"
   },
   "source": [
    "**A fair section of the linear regression code is based on inclass examples.**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 447
    },
    "id": "l54ZsFp2LisE",
    "outputId": "fe18f016-e728-4161-cb05-a8c488990bd4"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Result</th>\n",
       "      <th>Completions</th>\n",
       "      <th>PassingAttempts</th>\n",
       "      <th>Completion%</th>\n",
       "      <th>PassingYards</th>\n",
       "      <th>PassingTDs</th>\n",
       "      <th>PassingYPA</th>\n",
       "      <th>InterceptionsThrown</th>\n",
       "      <th>SacksAllowed</th>\n",
       "      <th>SackYardsAllowed</th>\n",
       "      <th>...</th>\n",
       "      <th>Q3OpponentScoring</th>\n",
       "      <th>Q4OpponentScoring</th>\n",
       "      <th>H1Scoring</th>\n",
       "      <th>H2Scoring</th>\n",
       "      <th>H1OpponentScoring</th>\n",
       "      <th>H2OpponentScoring</th>\n",
       "      <th>ExtraPointAttempts</th>\n",
       "      <th>ExtraPointsMade</th>\n",
       "      <th>FieldGoalAttempts</th>\n",
       "      <th>FieldGoalsMade</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>32</td>\n",
       "      <td>34.4</td>\n",
       "      <td>88</td>\n",
       "      <td>1</td>\n",
       "      <td>2.750000</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
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       "      <td>3</td>\n",
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       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>39</td>\n",
       "      <td>46.2</td>\n",
       "      <td>241</td>\n",
       "      <td>2</td>\n",
       "      <td>6.179487</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
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       "      <td>1</td>\n",
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       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-7</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.350000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>54.8</td>\n",
       "      <td>259</td>\n",
       "      <td>4</td>\n",
       "      <td>8.354839</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
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       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
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       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>33.3</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>5.555556</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
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       "      <td>17</td>\n",
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       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>77.8</td>\n",
       "      <td>153</td>\n",
       "      <td>2</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
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       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>35</td>\n",
       "      <td>28.6</td>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>1.742857</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>61</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
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       "      <td>9</td>\n",
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       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>36</td>\n",
       "      <td>33.3</td>\n",
       "      <td>151</td>\n",
       "      <td>1</td>\n",
       "      <td>4.194444</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
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       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
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       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>21</td>\n",
       "      <td>66.7</td>\n",
       "      <td>101</td>\n",
       "      <td>0</td>\n",
       "      <td>4.809524</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <th>9</th>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>41</td>\n",
       "      <td>34.1</td>\n",
       "      <td>122</td>\n",
       "      <td>0</td>\n",
       "      <td>2.975610</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>26</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Result  Completions  PassingAttempts  Completion%  PassingYards  \\\n",
       "0       0           11               32         34.4            88   \n",
       "1       1           18               39         46.2           241   \n",
       "2       0            2               20         10.0            -7   \n",
       "3       1           17               31         54.8           259   \n",
       "4       0            9               27         33.3           150   \n",
       "5       1           14               18         77.8           153   \n",
       "6       0           10               35         28.6            61   \n",
       "7       1           12               36         33.3           151   \n",
       "8       0           14               21         66.7           101   \n",
       "9       0           14               41         34.1           122   \n",
       "\n",
       "   PassingTDs  PassingYPA  InterceptionsThrown  SacksAllowed  \\\n",
       "0           1    2.750000                    5             2   \n",
       "1           2    6.179487                    4             0   \n",
       "2           0   -0.350000                    0             1   \n",
       "3           4    8.354839                    0             2   \n",
       "4           0    5.555556                    3             0   \n",
       "5           2    8.500000                    0             1   \n",
       "6           1    1.742857                    3             7   \n",
       "7           1    4.194444                    2             1   \n",
       "8           0    4.809524                    3             1   \n",
       "9           0    2.975610                    4             4   \n",
       "\n",
       "   SackYardsAllowed  ...  Q3OpponentScoring  Q4OpponentScoring  H1Scoring  \\\n",
       "0                13  ...                  7                  6          7   \n",
       "1                 0  ...                  0                  7         10   \n",
       "2                 6  ...                  7                 21          7   \n",
       "3                18  ...                  0                  0         17   \n",
       "4                 0  ...                  3                 17          0   \n",
       "5                 7  ...                  0                  7          7   \n",
       "6                61  ...                 10                  0          0   \n",
       "7                10  ...                  0                 14          9   \n",
       "8                 5  ...                 10                  0          3   \n",
       "9                26  ...                  0                  7          0   \n",
       "\n",
       "   H2Scoring  H1OpponentScoring  H2OpponentScoring  ExtraPointAttempts  \\\n",
       "0          7                 10                 13                   2   \n",
       "1         13                  7                  7                   3   \n",
       "2          0                 17                 28                   1   \n",
       "3         28                  7                  0                   6   \n",
       "4          7                  7                 20                   1   \n",
       "5         20                  0                  7                   3   \n",
       "6         14                  9                 10                   2   \n",
       "7         10                  0                 14                   2   \n",
       "8          0                 14                 10                   0   \n",
       "9          0                 17                  7                   0   \n",
       "\n",
       "   ExtraPointsMade  FieldGoalAttempts  FieldGoalsMade  \n",
       "0                2                  3               0  \n",
       "1                2                  2               1  \n",
       "2                1                  0               0  \n",
       "3                6                  5               1  \n",
       "4                1                  2               0  \n",
       "5                3                  2               2  \n",
       "6                2                  0               0  \n",
       "7                2                  3               1  \n",
       "8                0                  1               1  \n",
       "9                0                  1               0  \n",
       "\n",
       "[10 rows x 51 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_url = 'https://query.data.world/s/5lugcpwmtqfo3ynntzjrug4m44nwc3'\n",
    "#Multiple data frames were created to allow for varying scopes of views.\n",
    "data = pd.read_excel(dataset_url)\n",
    "data.head()\n",
    "df = pd.DataFrame(data)\n",
    "df.head(10)\n",
    "Brownsdf = df[(df.Team=='CLE')]\n",
    "newdf = df #newdf = df[(df.Team == 'CLE')]\n",
    "newdf.drop([\"Team\",\"Year\",\"Game ID\", \"Game_Type\", \"Team City\",\"Team Name\",\"Home_Away\",\"Opponent\",\"Opponent City\",\"Opponent Name\", \"Date\", \"Week\", \"Game\", \"Day\", \"OT\"  ], axis=1, inplace=True)\n",
    "#The statements bellow are to transform the string based wins and losses into a boolean variable to allow for regression.\n",
    "newdf = newdf.replace(to_replace='^W......', value=1,regex= True)\n",
    "newdf = newdf.replace(to_replace='^W.....', value=1,regex= True)\n",
    "newdf = newdf.replace(to_replace='^W....', value=1,regex= True)\n",
    "newdf = newdf.replace(to_replace='^L......', value=0,regex= True)\n",
    "newdf = newdf.replace(to_replace='^L.....', value=0,regex= True)\n",
    "newdf = newdf.replace(to_replace='^L....', value=0,regex= True)\n",
    "newdf = newdf.replace(to_replace='^T......', value=0,regex= True)\n",
    "newdf = newdf.replace(to_replace='^T.....', value=0,regex= True)\n",
    "newdf = newdf.replace(to_replace='^T....', value=0,regex= True)\n",
    "newdf = newdf.fillna(0)\n",
    "\n",
    "\n",
    "newdf.head(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 296
    },
    "id": "NhOR0GqvI7v0",
    "outputId": "99656bf8-e7de-473f-a1f8-8ec223e2423e"
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Year'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Brownsdf.plot.line(x='Year', y='TotalTDs')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 314
    },
    "id": "TxofrH0fKAbT",
    "outputId": "96f827be-9d8c-4c72-e991-cca69fbbcae8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'Completion%'}>]], dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Brownsdf.hist(column='Completion%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 314
    },
    "id": "0UoGisV7LD0y",
    "outputId": "8991aa45-ea1f-49f7-d78b-8823b60b5bd4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'PenaltyYards'}>]], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Brownsdf.hist(column='PenaltyYards')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 314
    },
    "id": "oaMUEANMN31Y",
    "outputId": "9b2c7bff-20b6-4444-bcbd-33fe2e28f0ee"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'H1Scoring'}>]], dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Brownsdf.hist(column='H1Scoring')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 314
    },
    "id": "b4mF0z5QOvGg",
    "outputId": "83f4eb0f-9efb-46dd-cbc5-8ff096278186"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'H2Scoring'}>]], dtype=object)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Brownsdf.hist(column='H2Scoring')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "Pi7Ylw2RY069"
   },
   "outputs": [],
   "source": [
    "y=newdf.Result\n",
    "X=newdf.drop('Result', axis=1)\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y,\n",
    "                                                    test_size=0.2,\n",
    "                                                    random_state=123)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "8X8xsYPqbFHm"
   },
   "outputs": [],
   "source": [
    "scaler = preprocessing.StandardScaler().fit(X_train)\n",
    "X_train_std = scaler.transform(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "vQOx7clwkkEu",
    "outputId": "4cd3e5c2-5ad9-4cbb-cf2e-fe77be2e709b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(normalize=True)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg = LinearRegression(normalize=True)\n",
    "\n",
    "reg.fit(X_train_std, y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "jEUaTM9QnbAQ",
    "outputId": "e88747e2-2f51-47e0-e117-430d69a1c151"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3.50287785e-02, -9.72479267e-02, -1.74472623e-02,  3.32521883e-02,\n",
       "        2.42921223e-01, -3.18249375e-02,  1.35955151e-02, -2.89695347e-02,\n",
       "        4.13160129e-03,  7.34046529e-02,  9.59416390e-02, -3.89185274e-02,\n",
       "        3.05554487e-03,  2.21286848e-01,  6.62582036e-03, -6.61624622e-03,\n",
       "       -2.29676239e-02,  3.44902530e-01,  1.51457294e-03,  1.79801582e-02,\n",
       "       -1.40448202e-02, -5.59127393e-03, -5.80573971e-04,  9.00558629e-03,\n",
       "        3.14601606e-04,  2.20947593e-03, -1.72156004e-04,  7.29937774e-02,\n",
       "        8.09828457e-02,  1.64589637e-01,  1.23164029e-01,  5.68934423e-02,\n",
       "       -8.70728332e-03,  2.98017843e-02, -1.31092146e-01, -1.58889910e-01,\n",
       "       -1.32699101e-01, -1.29329064e-01, -4.33153080e-02, -4.88451419e-02,\n",
       "       -4.06191364e-02, -6.34738900e-02, -2.01375723e-01, -1.86490903e-01,\n",
       "       -6.38068922e-02, -7.54077757e-02, -4.95509443e-02,  1.06932330e-01,\n",
       "       -1.87553050e-02,  3.00126376e-01])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6521515975176698\n",
      "0.086957928708684\n"
     ]
    }
   ],
   "source": [
    "#scoring for training data\n",
    "pred = reg.predict(X_train_std)\n",
    "print (r2_score(y_train, pred))\n",
    "print (mean_squared_error(y_train, pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "id": "w2oK3mpGniFz"
   },
   "outputs": [],
   "source": [
    "X_test_std = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "SQm1DUoonpys",
    "outputId": "0b9f3db0-a008-455e-e25e-873b3f6b5547"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6435913205069843\n",
      "0.08909801996335051\n"
     ]
    }
   ],
   "source": [
    "pred = reg.predict(X_test_std)\n",
    "print (r2_score(y_test, pred))\n",
    "print (mean_squared_error(y_test, pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 282
    },
    "id": "EcNFK1qVnuL4",
    "outputId": "e7ececf7-1d4f-462d-b6bd-c68fe395a3ec"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "feat_importances = pd.Series(reg.coef_, index=X.columns)\n",
    "feat_importances.nlargest(20).plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Result</th>\n",
       "      <th>Completions</th>\n",
       "      <th>PassingAttempts</th>\n",
       "      <th>Completion%</th>\n",
       "      <th>PassingYards</th>\n",
       "      <th>PassingTDs</th>\n",
       "      <th>PassingYPA</th>\n",
       "      <th>InterceptionsThrown</th>\n",
       "      <th>SacksAllowed</th>\n",
       "      <th>SackYardsAllowed</th>\n",
       "      <th>...</th>\n",
       "      <th>Q3OpponentScoring</th>\n",
       "      <th>Q4OpponentScoring</th>\n",
       "      <th>H1Scoring</th>\n",
       "      <th>H2Scoring</th>\n",
       "      <th>H1OpponentScoring</th>\n",
       "      <th>H2OpponentScoring</th>\n",
       "      <th>ExtraPointAttempts</th>\n",
       "      <th>ExtraPointsMade</th>\n",
       "      <th>FieldGoalAttempts</th>\n",
       "      <th>FieldGoalsMade</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>W 38-14</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>52.0</td>\n",
       "      <td>159</td>\n",
       "      <td>3</td>\n",
       "      <td>6.360000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>L 20-21</td>\n",
       "      <td>15</td>\n",
       "      <td>24</td>\n",
       "      <td>62.5</td>\n",
       "      <td>156</td>\n",
       "      <td>2</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>L 28-34</td>\n",
       "      <td>21</td>\n",
       "      <td>41</td>\n",
       "      <td>51.2</td>\n",
       "      <td>230</td>\n",
       "      <td>1</td>\n",
       "      <td>5.609756</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>49</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>W 28-7</td>\n",
       "      <td>14</td>\n",
       "      <td>24</td>\n",
       "      <td>58.3</td>\n",
       "      <td>160</td>\n",
       "      <td>2</td>\n",
       "      <td>6.666667</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>W 41-10</td>\n",
       "      <td>19</td>\n",
       "      <td>28</td>\n",
       "      <td>67.9</td>\n",
       "      <td>226</td>\n",
       "      <td>3</td>\n",
       "      <td>8.071429</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>W 30-21</td>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>37.5</td>\n",
       "      <td>159</td>\n",
       "      <td>2</td>\n",
       "      <td>6.625000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>W 49-17</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>64.0</td>\n",
       "      <td>295</td>\n",
       "      <td>6</td>\n",
       "      <td>11.800000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>28</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>L 6-16</td>\n",
       "      <td>19</td>\n",
       "      <td>37</td>\n",
       "      <td>51.4</td>\n",
       "      <td>176</td>\n",
       "      <td>1</td>\n",
       "      <td>4.756757</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>W 27-7</td>\n",
       "      <td>15</td>\n",
       "      <td>32</td>\n",
       "      <td>46.9</td>\n",
       "      <td>176</td>\n",
       "      <td>2</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>W 14-3</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "      <td>52.9</td>\n",
       "      <td>112</td>\n",
       "      <td>1</td>\n",
       "      <td>6.588235</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Result  Completions  PassingAttempts  Completion%  PassingYards  \\\n",
       "17   W 38-14           13               25         52.0           159   \n",
       "34   L 20-21           15               24         62.5           156   \n",
       "54   L 28-34           21               41         51.2           230   \n",
       "78    W 28-7           14               24         58.3           160   \n",
       "96   W 41-10           19               28         67.9           226   \n",
       "142  W 30-21            9               24         37.5           159   \n",
       "164  W 49-17           16               25         64.0           295   \n",
       "186   L 6-16           19               37         51.4           176   \n",
       "209   W 27-7           15               32         46.9           176   \n",
       "231   W 14-3            9               17         52.9           112   \n",
       "\n",
       "     PassingTDs  PassingYPA  InterceptionsThrown  SacksAllowed  \\\n",
       "17            3    6.360000                    0             0   \n",
       "34            2    6.500000                    0             4   \n",
       "54            1    5.609756                    1             6   \n",
       "78            2    6.666667                    1             2   \n",
       "96            3    8.071429                    0             1   \n",
       "142           2    6.625000                    0             0   \n",
       "164           6   11.800000                    1             0   \n",
       "186           1    4.756757                    5             5   \n",
       "209           2    5.500000                    0             2   \n",
       "231           1    6.588235                    0             0   \n",
       "\n",
       "     SackYardsAllowed  ...  Q3OpponentScoring  Q4OpponentScoring  H1Scoring  \\\n",
       "17                  0  ...                  0                  0          7   \n",
       "34                 28  ...                  7                  7         17   \n",
       "54                 49  ...                 14                  6         21   \n",
       "78                 11  ...                  0                  0         14   \n",
       "96                 13  ...                 10                  0         21   \n",
       "142                 0  ...                  0                 14         13   \n",
       "164                 0  ...                  0                  7         21   \n",
       "186                52  ...                  3                 10          6   \n",
       "209                18  ...                  0                  7          7   \n",
       "231                 0  ...                  3                  0          7   \n",
       "\n",
       "     H2Scoring  H1OpponentScoring  H2OpponentScoring  ExtraPointAttempts  \\\n",
       "17          31                 14                  0                   5   \n",
       "34           3                  7                 14                   2   \n",
       "54           7                 14                 20                   4   \n",
       "78          14                  7                  0                   4   \n",
       "96          20                  0                 10                   5   \n",
       "142         17                  7                 14                   3   \n",
       "164         28                 10                  7                   6   \n",
       "186          0                  3                 13                   1   \n",
       "209         20                  0                  7                   3   \n",
       "231          7                  0                  3                   2   \n",
       "\n",
       "     ExtraPointsMade  FieldGoalAttempts  FieldGoalsMade  \n",
       "17                 5                  1               1  \n",
       "34                 2                  2               2  \n",
       "54                 4                  3               0  \n",
       "78                 4                  2               0  \n",
       "96                 5                  1               0  \n",
       "142                3                  4               3  \n",
       "164                7                  1               0  \n",
       "186                0                  0               0  \n",
       "209                3                  2               2  \n",
       "231                2                  1               0  \n",
       "\n",
       "[10 rows x 51 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bnewdf = Brownsdf\n",
    "\n",
    "\n",
    "bnewdf.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "\"['Team' 'Year' 'Game ID' 'Game_Type' 'Team City' 'Team Name' 'Home_Away'\\n 'Opponent' 'Opponent City' 'Opponent Name' 'Date' 'Week' 'Game' 'Day'\\n 'OT'] not found in axis\"",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-36-ad42cc94082d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mbnewdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"Team\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m\"Year\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m\"Game ID\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"Game_Type\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"Team City\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m\"Team Name\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m\"Home_Away\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m\"Opponent\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m\"Opponent City\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m\"Opponent Name\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"Date\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"Week\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"Game\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"Day\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"OT\"\u001b[0m  \u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minplace\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;31m#The statements bellow are to transform the string based wins and losses into a boolean variable to allow for regression.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mbnewdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbnewdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mto_replace\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'^W......'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mregex\u001b[0m\u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mbnewdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbnewdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mto_replace\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'^W.....'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mregex\u001b[0m\u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mbnewdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbnewdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mto_replace\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'^W....'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mregex\u001b[0m\u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36mdrop\u001b[1;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[0;32m   4161\u001b[0m                 \u001b[0mweight\u001b[0m  \u001b[1;36m1.0\u001b[0m     \u001b[1;36m0.8\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4162\u001b[0m         \"\"\"\n\u001b[1;32m-> 4163\u001b[1;33m         return super().drop(\n\u001b[0m\u001b[0;32m   4164\u001b[0m             \u001b[0mlabels\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4165\u001b[0m             \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36mdrop\u001b[1;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[0;32m   3885\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabels\u001b[0m \u001b[1;32min\u001b[0m \u001b[0maxes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3886\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mlabels\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3887\u001b[1;33m                 \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_drop_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3888\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3889\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0minplace\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m_drop_axis\u001b[1;34m(self, labels, axis, level, errors)\u001b[0m\n\u001b[0;32m   3919\u001b[0m                 \u001b[0mnew_axis\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3920\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3921\u001b[1;33m                 \u001b[0mnew_axis\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3922\u001b[0m             \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0maxis_name\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mnew_axis\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3923\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mdrop\u001b[1;34m(self, labels, errors)\u001b[0m\n\u001b[0;32m   5280\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mmask\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0many\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5281\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0merrors\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[1;34m\"ignore\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 5282\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"{labels[mask]} not found in axis\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   5283\u001b[0m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m~\u001b[0m\u001b[0mmask\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5284\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdelete\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: \"['Team' 'Year' 'Game ID' 'Game_Type' 'Team City' 'Team Name' 'Home_Away'\\n 'Opponent' 'Opponent City' 'Opponent Name' 'Date' 'Week' 'Game' 'Day'\\n 'OT'] not found in axis\""
     ]
    }
   ],
   "source": [
    "\n",
    "bnewdf.drop([\"Team\",\"Year\",\"Game ID\", \"Game_Type\", \"Team City\",\"Team Name\",\"Home_Away\",\"Opponent\",\"Opponent City\",\"Opponent Name\", \"Date\", \"Week\", \"Game\", \"Day\", \"OT\"  ], axis=1, inplace=True)\n",
    "#The statements bellow are to transform the string based wins and losses into a boolean variable to allow for regression.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Result</th>\n",
       "      <th>Completions</th>\n",
       "      <th>PassingAttempts</th>\n",
       "      <th>Completion%</th>\n",
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       "      <th>SacksAllowed</th>\n",
       "      <th>SackYardsAllowed</th>\n",
       "      <th>...</th>\n",
       "      <th>Q3OpponentScoring</th>\n",
       "      <th>Q4OpponentScoring</th>\n",
       "      <th>H1Scoring</th>\n",
       "      <th>H2Scoring</th>\n",
       "      <th>H1OpponentScoring</th>\n",
       "      <th>H2OpponentScoring</th>\n",
       "      <th>ExtraPointAttempts</th>\n",
       "      <th>ExtraPointsMade</th>\n",
       "      <th>FieldGoalAttempts</th>\n",
       "      <th>FieldGoalsMade</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>17</th>\n",
       "      <td>1</td>\n",
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       "      <td>25</td>\n",
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       "      <th>34</th>\n",
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       "      <td>1</td>\n",
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       "      <td>49</td>\n",
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       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>24</td>\n",
       "      <td>58.3</td>\n",
       "      <td>160</td>\n",
       "      <td>2</td>\n",
       "      <td>6.666667</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
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       "      <td>4</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>28</td>\n",
       "      <td>67.9</td>\n",
       "      <td>226</td>\n",
       "      <td>3</td>\n",
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       "      <th>24733</th>\n",
       "      <td>0</td>\n",
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       "      <td>3</td>\n",
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       "      <th>24765</th>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
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       "      <td>1</td>\n",
       "      <td>10.086957</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>24790</th>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>31</td>\n",
       "      <td>58.1</td>\n",
       "      <td>175</td>\n",
       "      <td>2</td>\n",
       "      <td>5.645161</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24830</th>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>38</td>\n",
       "      <td>73.7</td>\n",
       "      <td>347</td>\n",
       "      <td>3</td>\n",
       "      <td>9.131579</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>16</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24859</th>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>54.8</td>\n",
       "      <td>376</td>\n",
       "      <td>3</td>\n",
       "      <td>8.952381</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>788 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Result  Completions  PassingAttempts  Completion%  PassingYards  \\\n",
       "17          1           13               25         52.0           159   \n",
       "34          0           15               24         62.5           156   \n",
       "54          0           21               41         51.2           230   \n",
       "78          1           14               24         58.3           160   \n",
       "96          1           19               28         67.9           226   \n",
       "...       ...          ...              ...          ...           ...   \n",
       "24733       0           29               43         67.4           397   \n",
       "24765       1           18               23         78.3           232   \n",
       "24790       1           18               31         58.1           175   \n",
       "24830       1           28               38         73.7           347   \n",
       "24859       0           23               42         54.8           376   \n",
       "\n",
       "       PassingTDs  PassingYPA  InterceptionsThrown  SacksAllowed  \\\n",
       "17              3    6.360000                    0             0   \n",
       "34              2    6.500000                    0             4   \n",
       "54              1    5.609756                    1             6   \n",
       "78              2    6.666667                    1             2   \n",
       "96              3    8.071429                    0             1   \n",
       "...           ...         ...                  ...           ...   \n",
       "24733           1    9.232558                    3             0   \n",
       "24765           1   10.086957                    0             1   \n",
       "24790           2    5.645161                    1             2   \n",
       "24830           3    9.131579                    0             0   \n",
       "24859           3    8.952381                    3             0   \n",
       "\n",
       "       SackYardsAllowed  ...  Q3OpponentScoring  Q4OpponentScoring  H1Scoring  \\\n",
       "17                    0  ...                  0                  0          7   \n",
       "34                   28  ...                  7                  7         17   \n",
       "54                   49  ...                 14                  6         21   \n",
       "78                   11  ...                  0                  0         14   \n",
       "96                   13  ...                 10                  0         21   \n",
       "...                 ...  ...                ...                ...        ...   \n",
       "24733                 0  ...                  3                  3          0   \n",
       "24765                 6  ...                  3                  0         17   \n",
       "24790                13  ...                  3                  3         10   \n",
       "24830                 0  ...                  0                 18         16   \n",
       "24859                 0  ...                  3                  3          7   \n",
       "\n",
       "       H2Scoring  H1OpponentScoring  H2OpponentScoring  ExtraPointAttempts  \\\n",
       "17            31                 14                  0                   5   \n",
       "34             3                  7                 14                   2   \n",
       "54             7                 14                 20                   4   \n",
       "78            14                  7                  0                   4   \n",
       "96            20                  0                 10                   5   \n",
       "...          ...                ...                ...                 ...   \n",
       "24733         13                 23                  6                   1   \n",
       "24765          9                 17                  3                   3   \n",
       "24790          7                 10                  6                   2   \n",
       "24830         10                  0                 18                   3   \n",
       "24859         17                 20                  6                   3   \n",
       "\n",
       "       ExtraPointsMade  FieldGoalAttempts  FieldGoalsMade  \n",
       "17                   5                  1               1  \n",
       "34                   2                  2               2  \n",
       "54                   4                  3               0  \n",
       "78                   4                  2               0  \n",
       "96                   5                  1               0  \n",
       "...                ...                ...             ...  \n",
       "24733                1                  0               0  \n",
       "24765                2                  2               2  \n",
       "24790                2                  1               1  \n",
       "24830                2                  2               2  \n",
       "24859                3                  2               1  \n",
       "\n",
       "[788 rows x 51 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bnewdf = bnewdf.replace(to_replace='^W......', value=1,regex= True)\n",
    "bnewdf = bnewdf.replace(to_replace='^W.....', value=1,regex= True)\n",
    "bnewdf = bnewdf.replace(to_replace='^W....', value=1,regex= True)\n",
    "bnewdf = bnewdf.replace(to_replace='^L......', value=0,regex= True)\n",
    "bnewdf = bnewdf.replace(to_replace='^L.....', value=0,regex= True)\n",
    "bnewdf = bnewdf.replace(to_replace='^L....', value=0,regex= True)\n",
    "bnewdf = bnewdf.replace(to_replace='^T......', value=0,regex= True)\n",
    "bnewdf = bnewdf.replace(to_replace='^T.....', value=0,regex= True)\n",
    "bnewdf = bnewdf.replace(to_replace='^T....', value=0,regex= True)\n",
    "\n",
    "bnewdf = bnewdf.fillna(0)\n",
    "bnewdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6296549167477353\n",
      "0.0903669820289219\n"
     ]
    }
   ],
   "source": [
    "Browns_test_std = scaler.transform(bnewdf.drop('Result',axis=1))\n",
    "pred = reg.predict(Browns_test_std)\n",
    "print (r2_score(bnewdf['Result'], pred))\n",
    "print (mean_squared_error(bnewdf['Result'], pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "bnewdf['predictedresult'] = pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Result', ylabel='predictedresult'>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bnewdf.plot.scatter(x='Result',y='predictedresult>>>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "clf = LogisticRegression(random_state=0).fit(X_train_std, y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "lrpred = clf.predict(Browns_test_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9947991947991948\n",
      "0.0012690355329949238\n"
     ]
    }
   ],
   "source": [
    "print (r2_score(bnewdf['Result'], lrpred))\n",
    "print (mean_squared_error(bnewdf['Result'], lrpred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# GROUPING\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Result</th>\n",
       "      <th>Completions</th>\n",
       "      <th>PassingAttempts</th>\n",
       "      <th>Completion%</th>\n",
       "      <th>PassingYards</th>\n",
       "      <th>PassingTDs</th>\n",
       "      <th>PassingYPA</th>\n",
       "      <th>InterceptionsThrown</th>\n",
       "      <th>SacksAllowed</th>\n",
       "      <th>SackYardsAllowed</th>\n",
       "      <th>...</th>\n",
       "      <th>Q3OpponentScoring</th>\n",
       "      <th>Q4OpponentScoring</th>\n",
       "      <th>H1Scoring</th>\n",
       "      <th>H2Scoring</th>\n",
       "      <th>H1OpponentScoring</th>\n",
       "      <th>H2OpponentScoring</th>\n",
       "      <th>ExtraPointAttempts</th>\n",
       "      <th>ExtraPointsMade</th>\n",
       "      <th>FieldGoalAttempts</th>\n",
       "      <th>FieldGoalsMade</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>L 14-23</td>\n",
       "      <td>11</td>\n",
       "      <td>32</td>\n",
       "      <td>34.4</td>\n",
       "      <td>88</td>\n",
       "      <td>1</td>\n",
       "      <td>2.750000</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>W 23-14</td>\n",
       "      <td>18</td>\n",
       "      <td>39</td>\n",
       "      <td>46.2</td>\n",
       "      <td>241</td>\n",
       "      <td>2</td>\n",
       "      <td>6.179487</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>L 7-45</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-7</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.350000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>W 45-7</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>54.8</td>\n",
       "      <td>259</td>\n",
       "      <td>4</td>\n",
       "      <td>8.354839</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>L 7-27</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>33.3</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>5.555556</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24901</th>\n",
       "      <td>W 26-23</td>\n",
       "      <td>26</td>\n",
       "      <td>41</td>\n",
       "      <td>63.4</td>\n",
       "      <td>301</td>\n",
       "      <td>1</td>\n",
       "      <td>7.341463</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24902</th>\n",
       "      <td>L 23-26</td>\n",
       "      <td>26</td>\n",
       "      <td>41</td>\n",
       "      <td>63.4</td>\n",
       "      <td>242</td>\n",
       "      <td>2</td>\n",
       "      <td>5.902439</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24903</th>\n",
       "      <td>W 37-31</td>\n",
       "      <td>30</td>\n",
       "      <td>46</td>\n",
       "      <td>65.2</td>\n",
       "      <td>348</td>\n",
       "      <td>1</td>\n",
       "      <td>7.565217</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>24</td>\n",
       "      <td>14</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24904</th>\n",
       "      <td>L 3-13</td>\n",
       "      <td>19</td>\n",
       "      <td>38</td>\n",
       "      <td>50.0</td>\n",
       "      <td>198</td>\n",
       "      <td>0</td>\n",
       "      <td>5.210526</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24905</th>\n",
       "      <td>W 13-3</td>\n",
       "      <td>21</td>\n",
       "      <td>35</td>\n",
       "      <td>60.0</td>\n",
       "      <td>253</td>\n",
       "      <td>0</td>\n",
       "      <td>7.228571</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24906 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Result  Completions  PassingAttempts  Completion%  PassingYards  \\\n",
       "0      L 14-23           11               32         34.4            88   \n",
       "1      W 23-14           18               39         46.2           241   \n",
       "2       L 7-45            2               20         10.0            -7   \n",
       "3       W 45-7           17               31         54.8           259   \n",
       "4       L 7-27            9               27         33.3           150   \n",
       "...        ...          ...              ...          ...           ...   \n",
       "24901  W 26-23           26               41         63.4           301   \n",
       "24902  L 23-26           26               41         63.4           242   \n",
       "24903  W 37-31           30               46         65.2           348   \n",
       "24904   L 3-13           19               38         50.0           198   \n",
       "24905   W 13-3           21               35         60.0           253   \n",
       "\n",
       "       PassingTDs  PassingYPA  InterceptionsThrown  SacksAllowed  \\\n",
       "0               1    2.750000                    5             2   \n",
       "1               2    6.179487                    4             0   \n",
       "2               0   -0.350000                    0             1   \n",
       "3               4    8.354839                    0             2   \n",
       "4               0    5.555556                    3             0   \n",
       "...           ...         ...                  ...           ...   \n",
       "24901           1    7.341463                    1             1   \n",
       "24902           2    5.902439                    1             2   \n",
       "24903           1    7.565217                    2             0   \n",
       "24904           0    5.210526                    1             4   \n",
       "24905           0    7.228571                    1             1   \n",
       "\n",
       "       SackYardsAllowed  ...  Q3OpponentScoring  Q4OpponentScoring  H1Scoring  \\\n",
       "0                    13  ...                  7                  6          7   \n",
       "1                     0  ...                  0                  7         10   \n",
       "2                     6  ...                  7                 21          7   \n",
       "3                    18  ...                  0                  0         17   \n",
       "4                     0  ...                  3                 17          0   \n",
       "...                 ...  ...                ...                ...        ...   \n",
       "24901                 8  ...                  7                  3         10   \n",
       "24902                 7  ...                  7                  6         13   \n",
       "24903                 0  ...                  7                 24         14   \n",
       "24904                31  ...                  0                 10          0   \n",
       "24905                 9  ...                  3                  0          3   \n",
       "\n",
       "       H2Scoring  H1OpponentScoring  H2OpponentScoring  ExtraPointAttempts  \\\n",
       "0              7                 10                 13                   2   \n",
       "1             13                  7                  7                   3   \n",
       "2              0                 17                 28                   1   \n",
       "3             28                  7                  0                   6   \n",
       "4              7                  7                 20                   1   \n",
       "...          ...                ...                ...                 ...   \n",
       "24901         13                 13                 10                   2   \n",
       "24902         10                 10                 13                   2   \n",
       "24903         17                  0                 31                   4   \n",
       "24904          3                  3                 10                   0   \n",
       "24905         10                  0                  3                   1   \n",
       "\n",
       "       ExtraPointsMade  FieldGoalAttempts  FieldGoalsMade  \n",
       "0                    2                  3               0  \n",
       "1                    2                  2               1  \n",
       "2                    1                  0               0  \n",
       "3                    6                  5               1  \n",
       "4                    1                  2               0  \n",
       "...                ...                ...             ...  \n",
       "24901                2                  4               4  \n",
       "24902                2                  3               3  \n",
       "24903                4                  1               1  \n",
       "24904                0                  2               1  \n",
       "24905                1                  3               2  \n",
       "\n",
       "[24906 rows x 51 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_url = 'https://query.data.world/s/5lugcpwmtqfo3ynntzjrug4m44nwc3'\n",
    "#Multiple data frames were created to allow for varying scopes of views.\n",
    "data = pd.read_excel(dataset_url)\n",
    "data.head()\n",
    "df = pd.DataFrame(data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Game ID</th>\n",
       "      <th>Game_Type</th>\n",
       "      <th>Team City</th>\n",
       "      <th>Team Name</th>\n",
       "      <th>Home_Away</th>\n",
       "      <th>Opponent</th>\n",
       "      <th>Opponent City</th>\n",
       "      <th>Opponent Name</th>\n",
       "      <th>Year</th>\n",
       "      <th>Date</th>\n",
       "      <th>...</th>\n",
       "      <th>Q3OpponentScoring</th>\n",
       "      <th>Q4OpponentScoring</th>\n",
       "      <th>H1Scoring</th>\n",
       "      <th>H2Scoring</th>\n",
       "      <th>H1OpponentScoring</th>\n",
       "      <th>H2OpponentScoring</th>\n",
       "      <th>ExtraPointAttempts</th>\n",
       "      <th>ExtraPointsMade</th>\n",
       "      <th>FieldGoalAttempts</th>\n",
       "      <th>FieldGoalsMade</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Team</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ARI</th>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>206</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>...</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "      <td>411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ATL</th>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>420</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>...</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAL</th>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>334</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>...</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "      <td>660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOS</th>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>36</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>...</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BUF</th>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>421</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>...</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "      <td>843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAR</th>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>201</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>...</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "      <td>401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHI</th>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>417</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>...</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "      <td>840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CIN</th>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>402</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>...</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CLE</th>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>395</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>...</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "      <td>788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DAL</th>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>434</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>...</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "      <td>879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEN</th>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>425</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>...</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "      <td>858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DET</th>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>419</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>...</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "      <td>829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GNB</th>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>432</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>...</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "      <td>862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOU</th>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>385</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>...</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "      <td>763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IND</th>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>298</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>...</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JAX</th>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>202</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>...</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "      <td>398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KAN</th>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>425</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>...</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "      <td>844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAC</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>18</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>...</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAR</th>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>25</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MIA</th>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>427</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>...</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "      <td>857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MIN</th>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>432</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>...</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NOR</th>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>409</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>...</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "      <td>822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NWE</th>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>397</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>...</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYG</th>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>423</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>...</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "      <td>848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYJ</th>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>427</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>...</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "      <td>841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OAK</th>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>322</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>...</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "      <td>648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHI</th>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>425</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>...</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHO</th>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>48</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>...</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PIT</th>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>434</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>...</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "      <td>876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RAI</th>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>104</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>...</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RAM</th>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>234</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>...</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "      <td>458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SDG</th>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>404</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>...</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "      <td>807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SEA</th>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>354</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>...</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "      <td>708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SFO</th>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>425</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>...</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "      <td>865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STL</th>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>337</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>...</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "      <td>669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAM</th>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>345</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>...</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "      <td>691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TEN</th>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>184</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>...</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "      <td>365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WAS</th>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>427</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>...</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "      <td>851</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>38 rows × 65 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Game ID  Game_Type  Team City  Team Name  Home_Away  Opponent  \\\n",
       "Team                                                                  \n",
       "ARI       411        411        411        411        206       411   \n",
       "ATL       840        840        840        840        420       840   \n",
       "BAL       660        660        660        660        334       660   \n",
       "BOS        70         70         70         70         36        70   \n",
       "BUF       843        843        843        843        421       843   \n",
       "CAR       401        401        401        401        201       401   \n",
       "CHI       840        840        840        840        417       840   \n",
       "CIN       807        807        807        807        402       807   \n",
       "CLE       788        788        788        788        395       788   \n",
       "DAL       879        879        879        879        434       879   \n",
       "DEN       858        858        858        858        425       858   \n",
       "DET       829        829        829        829        419       829   \n",
       "GNB       862        862        862        862        432       862   \n",
       "HOU       763        763        763        763        385       763   \n",
       "IND       591        591        591        591        298       591   \n",
       "JAX       398        398        398        398        202       398   \n",
       "KAN       844        844        844        844        425       844   \n",
       "LAC        34         34         34         34         18        34   \n",
       "LAR        52         52         52         52         25        52   \n",
       "MIA       857        857        857        857        427       857   \n",
       "MIN       865        865        865        865        432       865   \n",
       "NOR       822        822        822        822        409       822   \n",
       "NWE       801        801        801        801        397       801   \n",
       "NYG       848        848        848        848        423       848   \n",
       "NYJ       841        841        841        841        427       841   \n",
       "OAK       648        648        648        648        322       648   \n",
       "PHI       856        856        856        856        425       856   \n",
       "PHO        96         96         96         96         48        96   \n",
       "PIT       876        876        876        876        434       876   \n",
       "RAI       212        212        212        212        104       212   \n",
       "RAM       458        458        458        458        234       458   \n",
       "SDG       807        807        807        807        404       807   \n",
       "SEA       708        708        708        708        354       708   \n",
       "SFO       865        865        865        865        425       865   \n",
       "STL       669        669        669        669        337       669   \n",
       "TAM       691        691        691        691        345       691   \n",
       "TEN       365        365        365        365        184       365   \n",
       "WAS       851        851        851        851        427       851   \n",
       "\n",
       "      Opponent City  Opponent Name  Year  Date  ...  Q3OpponentScoring  \\\n",
       "Team                                            ...                      \n",
       "ARI             411            411   411   411  ...                411   \n",
       "ATL             840            840   840   840  ...                840   \n",
       "BAL             660            660   660   660  ...                660   \n",
       "BOS              70             70    70    70  ...                 70   \n",
       "BUF             843            843   843   843  ...                843   \n",
       "CAR             401            401   401   401  ...                401   \n",
       "CHI             840            840   840   840  ...                840   \n",
       "CIN             807            807   807   807  ...                807   \n",
       "CLE             788            788   788   788  ...                788   \n",
       "DAL             879            879   879   879  ...                879   \n",
       "DEN             858            858   858   858  ...                858   \n",
       "DET             829            829   829   829  ...                829   \n",
       "GNB             862            862   862   862  ...                862   \n",
       "HOU             763            763   763   763  ...                763   \n",
       "IND             591            591   591   591  ...                591   \n",
       "JAX             398            398   398   398  ...                398   \n",
       "KAN             844            844   844   844  ...                844   \n",
       "LAC              34             34    34    34  ...                 34   \n",
       "LAR              52             52    52    52  ...                 52   \n",
       "MIA             857            857   857   857  ...                857   \n",
       "MIN             865            865   865   865  ...                865   \n",
       "NOR             822            822   822   822  ...                822   \n",
       "NWE             801            801   801   801  ...                801   \n",
       "NYG             848            848   848   848  ...                848   \n",
       "NYJ             841            841   841   841  ...                841   \n",
       "OAK             648            648   648   648  ...                648   \n",
       "PHI             856            856   856   856  ...                856   \n",
       "PHO              96             96    96    96  ...                 96   \n",
       "PIT             876            876   876   876  ...                876   \n",
       "RAI             212            212   212   212  ...                212   \n",
       "RAM             458            458   458   458  ...                458   \n",
       "SDG             807            807   807   807  ...                807   \n",
       "SEA             708            708   708   708  ...                708   \n",
       "SFO             865            865   865   865  ...                865   \n",
       "STL             669            669   669   669  ...                669   \n",
       "TAM             691            691   691   691  ...                691   \n",
       "TEN             365            365   365   365  ...                365   \n",
       "WAS             851            851   851   851  ...                851   \n",
       "\n",
       "      Q4OpponentScoring  H1Scoring  H2Scoring  H1OpponentScoring  \\\n",
       "Team                                                               \n",
       "ARI                 411        411        411                411   \n",
       "ATL                 840        840        840                840   \n",
       "BAL                 660        660        660                660   \n",
       "BOS                  70         70         70                 70   \n",
       "BUF                 843        843        843                843   \n",
       "CAR                 401        401        401                401   \n",
       "CHI                 840        840        840                840   \n",
       "CIN                 807        807        807                807   \n",
       "CLE                 788        788        788                788   \n",
       "DAL                 879        879        879                879   \n",
       "DEN                 858        858        858                858   \n",
       "DET                 829        829        829                829   \n",
       "GNB                 862        862        862                862   \n",
       "HOU                 763        763        763                763   \n",
       "IND                 591        591        591                591   \n",
       "JAX                 398        398        398                398   \n",
       "KAN                 844        844        844                844   \n",
       "LAC                  34         34         34                 34   \n",
       "LAR                  52         52         52                 52   \n",
       "MIA                 857        857        857                857   \n",
       "MIN                 865        865        865                865   \n",
       "NOR                 822        822        822                822   \n",
       "NWE                 801        801        801                801   \n",
       "NYG                 848        848        848                848   \n",
       "NYJ                 841        841        841                841   \n",
       "OAK                 648        648        648                648   \n",
       "PHI                 856        856        856                856   \n",
       "PHO                  96         96         96                 96   \n",
       "PIT                 876        876        876                876   \n",
       "RAI                 212        212        212                212   \n",
       "RAM                 458        458        458                458   \n",
       "SDG                 807        807        807                807   \n",
       "SEA                 708        708        708                708   \n",
       "SFO                 865        865        865                865   \n",
       "STL                 669        669        669                669   \n",
       "TAM                 691        691        691                691   \n",
       "TEN                 365        365        365                365   \n",
       "WAS                 851        851        851                851   \n",
       "\n",
       "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
       "Team                                                           \n",
       "ARI                 411                 411              411   \n",
       "ATL                 840                 840              840   \n",
       "BAL                 660                 660              660   \n",
       "BOS                  70                  70               70   \n",
       "BUF                 843                 843              843   \n",
       "CAR                 401                 401              401   \n",
       "CHI                 840                 840              840   \n",
       "CIN                 807                 807              807   \n",
       "CLE                 788                 788              788   \n",
       "DAL                 879                 879              879   \n",
       "DEN                 858                 858              858   \n",
       "DET                 829                 829              829   \n",
       "GNB                 862                 862              862   \n",
       "HOU                 763                 763              763   \n",
       "IND                 591                 591              591   \n",
       "JAX                 398                 398              398   \n",
       "KAN                 844                 844              844   \n",
       "LAC                  34                  34               34   \n",
       "LAR                  52                  52               52   \n",
       "MIA                 857                 857              857   \n",
       "MIN                 865                 865              865   \n",
       "NOR                 822                 822              822   \n",
       "NWE                 801                 801              801   \n",
       "NYG                 848                 848              848   \n",
       "NYJ                 841                 841              841   \n",
       "OAK                 648                 648              648   \n",
       "PHI                 856                 856              856   \n",
       "PHO                  96                  96               96   \n",
       "PIT                 876                 876              876   \n",
       "RAI                 212                 212              212   \n",
       "RAM                 458                 458              458   \n",
       "SDG                 807                 807              807   \n",
       "SEA                 708                 708              708   \n",
       "SFO                 865                 865              865   \n",
       "STL                 669                 669              669   \n",
       "TAM                 691                 691              691   \n",
       "TEN                 365                 365              365   \n",
       "WAS                 851                 851              851   \n",
       "\n",
       "      FieldGoalAttempts  FieldGoalsMade  \n",
       "Team                                     \n",
       "ARI                 411             411  \n",
       "ATL                 840             840  \n",
       "BAL                 660             660  \n",
       "BOS                  70              70  \n",
       "BUF                 843             843  \n",
       "CAR                 401             401  \n",
       "CHI                 840             840  \n",
       "CIN                 807             807  \n",
       "CLE                 788             788  \n",
       "DAL                 879             879  \n",
       "DEN                 858             858  \n",
       "DET                 829             829  \n",
       "GNB                 862             862  \n",
       "HOU                 763             763  \n",
       "IND                 591             591  \n",
       "JAX                 398             398  \n",
       "KAN                 844             844  \n",
       "LAC                  34              34  \n",
       "LAR                  52              52  \n",
       "MIA                 857             857  \n",
       "MIN                 865             865  \n",
       "NOR                 822             822  \n",
       "NWE                 801             801  \n",
       "NYG                 848             848  \n",
       "NYJ                 841             841  \n",
       "OAK                 648             648  \n",
       "PHI                 856             856  \n",
       "PHO                  96              96  \n",
       "PIT                 876             876  \n",
       "RAI                 212             212  \n",
       "RAM                 458             458  \n",
       "SDG                 807             807  \n",
       "SEA                 708             708  \n",
       "SFO                 865             865  \n",
       "STL                 669             669  \n",
       "TAM                 691             691  \n",
       "TEN                 365             365  \n",
       "WAS                 851             851  \n",
       "\n",
       "[38 rows x 65 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Team').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             Game ID Game_Type Team Team City  Team Name Home_Away Opponent  \\\n",
      "11796  34581_RAM_ARI   Regular  ARI   Arizona  Cardinals         @      RAM   \n",
      "11824  34588_ARI_NYG   Regular  ARI   Arizona  Cardinals       NaN      NYG   \n",
      "11852  34595_CLE_ARI   Regular  ARI   Arizona  Cardinals         @      CLE   \n",
      "11904  34609_ARI_MIN   Regular  ARI   Arizona  Cardinals       NaN      MIN   \n",
      "11928  34616_DAL_ARI   Regular  ARI   Arizona  Cardinals         @      DAL   \n",
      "...              ...       ...  ...       ...        ...       ...      ...   \n",
      "24726  43436_GNB_ARI   Regular  ARI   Arizona  Cardinals         @      GNB   \n",
      "24758  43443_ARI_DET   Regular  ARI   Arizona  Cardinals       NaN      DET   \n",
      "24794  43450_ATL_ARI   Regular  ARI   Arizona  Cardinals         @      ATL   \n",
      "24824  43457_ARI_LAR   Regular  ARI   Arizona  Cardinals       NaN      LAR   \n",
      "24852  43464_SEA_ARI   Regular  ARI   Arizona  Cardinals         @      SEA   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "11796   Los Angeles          Rams  1994  ...                  7   \n",
      "11824      New York        Giants  1994  ...                  0   \n",
      "11852     Cleveland        Browns  1994  ...                 15   \n",
      "11904     Minnesota       Vikings  1994  ...                  0   \n",
      "11928        Dallas       Cowboys  1994  ...                 10   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24726     Green Bay       Packers  2018  ...                  0   \n",
      "24758       Detriot         Lions  2018  ...                  7   \n",
      "24794       Atlanta       Falcons  2018  ...                  7   \n",
      "24824   Los Angeles          Rams  2018  ...                  3   \n",
      "24852       Seattle      Seahawks  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "11796                  0          6         6                 7   \n",
      "11824                  0         10         7                20   \n",
      "11852                 14          0         0                 3   \n",
      "11904                  0          7        10                 7   \n",
      "11928                  0          0         3                28   \n",
      "...                  ...        ...       ...               ...   \n",
      "24726                  7          7        13                10   \n",
      "24758                  7          0         3                 3   \n",
      "24794                  7          7         7                26   \n",
      "24824                  7          9         0                21   \n",
      "24852                  6         13        11                14   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "11796                 7                   0                0   \n",
      "11824                 0                   2                2   \n",
      "11852                29                   0                0   \n",
      "11904                 0                   2                2   \n",
      "11928                10                   0                0   \n",
      "...                 ...                 ...              ...   \n",
      "24726                 7                   2                2   \n",
      "24758                14                   0                0   \n",
      "24794                14                   2                2   \n",
      "24824                10                   1                0   \n",
      "24852                13                   1                1   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "11796                  2               2  \n",
      "11824                  1               1  \n",
      "11852                  2               0  \n",
      "11904                  2               1  \n",
      "11928                  1               1  \n",
      "...                  ...             ...  \n",
      "24726                  2               2  \n",
      "24758                  2               1  \n",
      "24794                  0               0  \n",
      "24824                  2               1  \n",
      "24852                  3               3  \n",
      "\n",
      "[411 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "14     24361_ATL_RAM   Regular  ATL   Atlanta   Falcons       NaN      RAM   \n",
      "30     24368_PHI_ATL   Regular  ATL   Atlanta   Falcons         @      PHI   \n",
      "50     24375_DET_ATL   Regular  ATL   Atlanta   Falcons         @      DET   \n",
      "74     24382_ATL_DAL   Regular  ATL   Atlanta   Falcons       NaN      DAL   \n",
      "102    24389_WAS_ATL   Regular  ATL   Atlanta   Falcons         @      WAS   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24727  43436_ATL_BAL   Regular  ATL   Atlanta   Falcons       NaN      BAL   \n",
      "24759  43443_GNB_ATL   Regular  ATL   Atlanta   Falcons         @      GNB   \n",
      "24795  43450_ATL_ARI   Regular  ATL   Atlanta   Falcons       NaN      ARI   \n",
      "24825  43457_CAR_ATL   Regular  ATL   Atlanta   Falcons         @      CAR   \n",
      "24853  43464_TAM_ATL   Regular  ATL   Atlanta   Falcons         @      TAM   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "14      Los Angeles          Rams  1966  ...                  3   \n",
      "30     Philadelphia        Eagles  1966  ...                  3   \n",
      "50          Detriot         Lions  1966  ...                  0   \n",
      "74           Dallas       Cowboys  1966  ...                 16   \n",
      "102      Washington      Redskins  1966  ...                  6   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24727     Baltimore        Ravens  2018  ...                  6   \n",
      "24759     Green Bay       Packers  2018  ...                 14   \n",
      "24795       Arizona     Cardinals  2018  ...                  0   \n",
      "24825      Carolina      Panthers  2018  ...                  0   \n",
      "24853     Tampa Bay    Buccaneers  2018  ...                  3   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "14                     0          7         7                16   \n",
      "30                    10          3         7                10   \n",
      "50                     7          7         3                21   \n",
      "74                    14          7         7                17   \n",
      "102                    7         17         3                20   \n",
      "...                  ...        ...       ...               ...   \n",
      "24727                 10         10         6                10   \n",
      "24759                  0          7        13                20   \n",
      "24795                  7         26        14                 7   \n",
      "24825                  0         10        14                10   \n",
      "24853                 12          7        27                17   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "14                    3                   2                2   \n",
      "30                   13                   1                1   \n",
      "50                    7                   1                1   \n",
      "74                   30                   2                2   \n",
      "102                  13                   2                2   \n",
      "...                 ...                 ...              ...   \n",
      "24727                16                   1                1   \n",
      "24759                14                   3                2   \n",
      "24795                 7                   4                4   \n",
      "24825                 0                   3                3   \n",
      "24853                15                   4                4   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "14                     1               0  \n",
      "30                     2               1  \n",
      "50                     2               1  \n",
      "74                     0               0  \n",
      "102                    2               2  \n",
      "...                  ...             ...  \n",
      "24727                  1               1  \n",
      "24759                  1               0  \n",
      "24795                  2               2  \n",
      "24825                  1               1  \n",
      "24853                  2               2  \n",
      "\n",
      "[840 rows x 66 columns]\n",
      "             Game ID Game_Type Team  Team City Team Name Home_Away Opponent  \\\n",
      "8      24360_GNB_BAL   Regular  BAL  Baltimore     Colts         @      GNB   \n",
      "31     24368_MIN_BAL   Regular  BAL  Baltimore     Colts         @      MIN   \n",
      "51     24375_BAL_SFO   Regular  BAL  Baltimore     Colts       NaN      SFO   \n",
      "103    24389_CHI_BAL   Regular  BAL  Baltimore     Colts         @      CHI   \n",
      "117    24396_BAL_DET   Regular  BAL  Baltimore     Colts       NaN      DET   \n",
      "...              ...       ...  ...        ...       ...       ...      ...   \n",
      "24760  43443_KAN_BAL   Regular  BAL  Baltimore    Ravens         @      KAN   \n",
      "24796  43450_BAL_TAM   Regular  BAL  Baltimore    Ravens       NaN      TAM   \n",
      "24820  43456_LAC_BAL   Regular  BAL  Baltimore    Ravens         @      LAC   \n",
      "24854  43464_BAL_CLE   Regular  BAL  Baltimore    Ravens       NaN      CLE   \n",
      "24888  43471_BAL_LAC   Playoff  BAL  Baltimore    Ravens       NaN      LAC   \n",
      "\n",
      "       Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "8          Green Bay       Packers  1966  ...                 10   \n",
      "31         Minnesota       Vikings  1966  ...                  0   \n",
      "51     San Francisco         49ers  1966  ...                  0   \n",
      "103          Chicago         Bears  1966  ...                 10   \n",
      "117          Detriot         Lions  1966  ...                  7   \n",
      "...              ...           ...   ...  ...                ...   \n",
      "24760    Kansas City        Chiefs  2018  ...                  0   \n",
      "24796      Tampa Bay    Buccaneers  2018  ...                  3   \n",
      "24820    Los Angeles      Chargers  2018  ...                  7   \n",
      "24854      Cleveland        Browns  2018  ...                  7   \n",
      "24888    Los Angeles      Chargers  2018  ...                  0   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "8                      0          3         0                14   \n",
      "31                     7         10        28                16   \n",
      "51                     7         16        20                 7   \n",
      "103                    7          3        14                10   \n",
      "117                    7         24        21                 0   \n",
      "...                  ...        ...       ...               ...   \n",
      "24760                  7         10        14                17   \n",
      "24796                  0         10        10                 9   \n",
      "24820                  0          6        16                 3   \n",
      "24854                 10         20         6                 7   \n",
      "24888                 11          0        17                12   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "8                    10                   0                0   \n",
      "31                    7                   5                5   \n",
      "51                    7                   3                3   \n",
      "103                  17                   2                2   \n",
      "117                  14                   6                6   \n",
      "...                 ...                 ...              ...   \n",
      "24760                 7                   3                3   \n",
      "24796                 3                   2                2   \n",
      "24820                 7                   1                1   \n",
      "24854                17                   2                2   \n",
      "24888                11                   2                2   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "8                      1               1  \n",
      "31                     1               1  \n",
      "51                     5               5  \n",
      "103                    2               1  \n",
      "117                    3               1  \n",
      "...                  ...             ...  \n",
      "24760                  1               1  \n",
      "24796                  2               2  \n",
      "24820                  5               3  \n",
      "24854                  4               4  \n",
      "24888                  2               1  \n",
      "\n",
      "[660 rows x 66 columns]\n",
      "            Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "9     24360_SDG_BOS   Regular  BOS    Boston  Patriots         @      SDG   \n",
      "32    24368_DEN_BOS   Regular  BOS    Boston  Patriots         @      DEN   \n",
      "52    24375_BOS_KAN   Regular  BOS    Boston  Patriots       NaN      KAN   \n",
      "75    24382_BOS_NYJ   Regular  BOS    Boston  Patriots       NaN      NYJ   \n",
      "94    24388_BUF_BOS   Regular  BOS    Boston  Patriots         @      BUF   \n",
      "...             ...       ...  ...       ...       ...       ...      ...   \n",
      "1692  25894_NYJ_BOS   Regular  BOS    Boston  Patriots         @      NYJ   \n",
      "1721  25901_BUF_BOS   Regular  BOS    Boston  Patriots         @      BUF   \n",
      "1746  25908_MIA_BOS   Regular  BOS    Boston  Patriots         @      MIA   \n",
      "1774  25915_BOS_MIN   Regular  BOS    Boston  Patriots       NaN      MIN   \n",
      "1797  25922_CIN_BOS   Regular  BOS    Boston  Patriots         @      CIN   \n",
      "\n",
      "     Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "9        San Diego      Chargers  1966  ...                  0   \n",
      "32          Denver       Broncos  1966  ...                  0   \n",
      "52     Kansas City        Chiefs  1966  ...                  6   \n",
      "75        New York          Jets  1966  ...                  0   \n",
      "94         Buffalo         Bills  1966  ...                  3   \n",
      "...            ...           ...   ...  ...                ...   \n",
      "1692      New York          Jets  1970  ...                  7   \n",
      "1721       Buffalo         Bills  1970  ...                  0   \n",
      "1746         Miami      Dolphins  1970  ...                  7   \n",
      "1774     Minnesota       Vikings  1970  ...                 14   \n",
      "1797    Cincinatti       Bengals  1970  ...                  7   \n",
      "\n",
      "      Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "9                     7          0         0                17   \n",
      "32                    0          9        15                10   \n",
      "52                   20         14        10                17   \n",
      "75                   17         10        14                 7   \n",
      "94                    7         13         7                 0   \n",
      "...                 ...        ...       ...               ...   \n",
      "1692                  7          0         3                 3   \n",
      "1721                  7          7         7                 3   \n",
      "1746                  3          6        14                27   \n",
      "1774                  0          7         7                21   \n",
      "1797                  0          0         7                38   \n",
      "\n",
      "     H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "9                    7                   0                0   \n",
      "32                   0                   1                1   \n",
      "52                  26                   3                3   \n",
      "75                  17                   3                3   \n",
      "94                  10                   2                2   \n",
      "...                ...                 ...              ...   \n",
      "1692                14                   0                0   \n",
      "1721                 7                   2                2   \n",
      "1746                10                   3                2   \n",
      "1774                14                   2                2   \n",
      "1797                 7                   1                1   \n",
      "\n",
      "      FieldGoalAttempts  FieldGoalsMade  \n",
      "9                     1               0  \n",
      "32                    4               3  \n",
      "52                    1               1  \n",
      "75                    2               1  \n",
      "94                    4               2  \n",
      "...                 ...             ...  \n",
      "1692                  3               1  \n",
      "1721                  0               0  \n",
      "1746                  2               0  \n",
      "1774                  0               0  \n",
      "1797                  0               0  \n",
      "\n",
      "[70 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "4      24354_SDG_BUF   Regular  BUF   Buffalo     Bills         @      SDG   \n",
      "15     24361_BUF_KAN   Regular  BUF   Buffalo     Bills       NaN      KAN   \n",
      "33     24368_BUF_MIA   Regular  BUF   Buffalo     Bills       NaN      MIA   \n",
      "53     24375_BUF_HOU   Regular  BUF   Buffalo     Bills       NaN      HOU   \n",
      "76     24382_KAN_BUF   Regular  BUF   Buffalo     Bills         @      KAN   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24729  43436_MIA_BUF   Regular  BUF   Buffalo     Bills         @      MIA   \n",
      "24761  43443_BUF_NYJ   Regular  BUF   Buffalo     Bills       NaN      NYJ   \n",
      "24797  43450_BUF_DET   Regular  BUF   Buffalo     Bills       NaN      DET   \n",
      "24826  43457_NWE_BUF   Regular  BUF   Buffalo     Bills         @      NWE   \n",
      "24855  43464_BUF_MIA   Regular  BUF   Buffalo     Bills       NaN      MIA   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "4         San Diego      Chargers  1966  ...                  3   \n",
      "15      Kansas City        Chiefs  1966  ...                 14   \n",
      "33            Miami      Dolphins  1966  ...                  0   \n",
      "53          Houston        Oilers  1966  ...                  0   \n",
      "76      Kansas City        Chiefs  1966  ...                  0   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24729         Miami      Dolphins  2018  ...                  0   \n",
      "24761      New York          Jets  2018  ...                  0   \n",
      "24797       Detriot         Lions  2018  ...                  0   \n",
      "24826   New England      Patriots  2018  ...                  7   \n",
      "24855         Miami      Dolphins  2018  ...                  3   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "4                     17          0         7                 7   \n",
      "15                     7         10        10                21   \n",
      "33                    14         48        10                10   \n",
      "53                    14         20         7                 6   \n",
      "76                     0         12        17                14   \n",
      "...                  ...        ...       ...               ...   \n",
      "24729                  7          6        11                14   \n",
      "24761                 14         17         6                13   \n",
      "24797                  0          7         7                13   \n",
      "24826                  3          0        12                14   \n",
      "24855                  0         14        28                14   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "4                    20                   1                1   \n",
      "15                   21                   2                2   \n",
      "33                   14                   8                7   \n",
      "53                   14                   3                3   \n",
      "76                    0                   2                2   \n",
      "...                 ...                 ...              ...   \n",
      "24729                 7                   1                0   \n",
      "24761                14                   2                2   \n",
      "24797                 0                   2                2   \n",
      "24826                10                   0                0   \n",
      "24855                 3                   6                6   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "4                      2               0  \n",
      "15                     2               2  \n",
      "33                     1               1  \n",
      "53                     3               2  \n",
      "76                     3               3  \n",
      "...                  ...             ...  \n",
      "24729                  2               1  \n",
      "24761                  5               3  \n",
      "24797                  0               0  \n",
      "24826                  3               2  \n",
      "24855                  1               0  \n",
      "\n",
      "[843 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "12269  34945_ATL_CAR   Regular  CAR  Carolina  Panthers         @      ATL   \n",
      "12299  34952_BUF_CAR   Regular  CAR  Carolina  Panthers         @      BUF   \n",
      "12329  34959_CAR_STL   Regular  CAR  Carolina  Panthers       NaN      STL   \n",
      "12382  34973_CAR_TAM   Regular  CAR  Carolina  Panthers       NaN      TAM   \n",
      "12408  34980_CHI_CAR   Regular  CAR  Carolina  Panthers         @      CHI   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24730  43436_TAM_CAR   Regular  CAR  Carolina  Panthers         @      TAM   \n",
      "24762  43443_CLE_CAR   Regular  CAR  Carolina  Panthers         @      CLE   \n",
      "24818  43451_CAR_NOR   Regular  CAR  Carolina  Panthers       NaN      NOR   \n",
      "24827  43457_CAR_ATL   Regular  CAR  Carolina  Panthers       NaN      ATL   \n",
      "24856  43464_NOR_CAR   Regular  CAR  Carolina  Panthers         @      NOR   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "12269       Atlanta       Falcons  1995  ...                  7   \n",
      "12299       Buffalo         Bills  1995  ...                 28   \n",
      "12329   Los Angeles          Rams  1995  ...                 10   \n",
      "12382     Tampa Bay    Buccaneers  1995  ...                  0   \n",
      "12408       Chicago         Bears  1995  ...                  3   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24730     Tampa Bay    Buccaneers  2018  ...                  7   \n",
      "24762     Cleveland        Browns  2018  ...                  0   \n",
      "24818   New Orleans        Saints  2018  ...                  0   \n",
      "24827       Atlanta       Falcons  2018  ...                 14   \n",
      "24856   New Orleans        Saints  2018  ...                  0   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "12269                  0         13         7                13   \n",
      "12299                  3          6         3                 0   \n",
      "12329                  7          3         7                14   \n",
      "12382                  7          7         6                13   \n",
      "12408                 14         13        14                14   \n",
      "...                  ...        ...       ...               ...   \n",
      "24730                  0          7        10                17   \n",
      "24762                  9         17         3                17   \n",
      "24818                  6          7         2                 6   \n",
      "24827                  0         10         0                10   \n",
      "24856                 14         23        10                 0   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "12269                 7                   2                2   \n",
      "12299                31                   0                0   \n",
      "12329                17                   1                1   \n",
      "12382                 7                   2                1   \n",
      "12408                17                   3                3   \n",
      "...                 ...                 ...              ...   \n",
      "24730                 7                   2                2   \n",
      "24762                 9                   2                2   \n",
      "24818                 6                   1                1   \n",
      "24827                14                   1                1   \n",
      "24856                14                   4                3   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "12269                  2               2  \n",
      "12299                  4               3  \n",
      "12329                  1               1  \n",
      "12382                  0               0  \n",
      "12408                  2               2  \n",
      "...                  ...             ...  \n",
      "24730                  1               1  \n",
      "24762                  2               2  \n",
      "24818                  0               0  \n",
      "24827                  1               1  \n",
      "24856                  2               2  \n",
      "\n",
      "[401 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "16     24361_DET_CHI   Regular  CHI   Chicago     Bears         @      DET   \n",
      "28     24366_RAM_CHI   Regular  CHI   Chicago     Bears         @      RAM   \n",
      "77     24382_MIN_CHI   Regular  CHI   Chicago     Bears         @      MIN   \n",
      "104    24389_CHI_BAL   Regular  CHI   Chicago     Bears       NaN      BAL   \n",
      "119    24396_CHI_GNB   Regular  CHI   Chicago     Bears       NaN      GNB   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24763  43443_CHI_LAR   Regular  CHI   Chicago     Bears       NaN      LAR   \n",
      "24798  43450_CHI_GNB   Regular  CHI   Chicago     Bears       NaN      GNB   \n",
      "24828  43457_SFO_CHI   Regular  CHI   Chicago     Bears         @      SFO   \n",
      "24857  43464_MIN_CHI   Regular  CHI   Chicago     Bears         @      MIN   \n",
      "24889  43471_CHI_PHI   Playoff  CHI   Chicago     Bears       NaN      PHI   \n",
      "\n",
      "       Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "16           Detriot         Lions  1966  ...                  0   \n",
      "28       Los Angeles          Rams  1966  ...                  7   \n",
      "77         Minnesota       Vikings  1966  ...                  7   \n",
      "104        Baltimore         Colts  1966  ...                  7   \n",
      "119        Green Bay       Packers  1966  ...                 10   \n",
      "...              ...           ...   ...  ...                ...   \n",
      "24763    Los Angeles          Rams  2018  ...                  0   \n",
      "24798      Green Bay       Packers  2018  ...                 11   \n",
      "24828  San Francisco         49ers  2018  ...                  0   \n",
      "24857      Minnesota       Vikings  2018  ...                  7   \n",
      "24889   Philadelphia        Eagles  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "16                     0          3         0                14   \n",
      "28                    10         17         0                14   \n",
      "77                     3          3        10                 0   \n",
      "104                    7         10        17                 3   \n",
      "119                    7          0         0                 0   \n",
      "...                  ...        ...       ...               ...   \n",
      "24763                  0          6         9                 6   \n",
      "24798                  3         14        10                 3   \n",
      "24828                  0          7         7                 9   \n",
      "24857                  0         13        11                 3   \n",
      "24889                  6          6         9                 3   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "16                    0                   0                0   \n",
      "28                   17                   2                2   \n",
      "77                   10                   1                1   \n",
      "104                  14                   3                3   \n",
      "119                  17                   0                0   \n",
      "...                 ...                 ...              ...   \n",
      "24763                 0                   1                1   \n",
      "24798                14                   3                3   \n",
      "24828                 0                   2                2   \n",
      "24857                 7                   2                1   \n",
      "24889                13                   0                0   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "16                     2               1  \n",
      "28                     1               1  \n",
      "77                     2               2  \n",
      "104                    4               2  \n",
      "119                    1               0  \n",
      "...                  ...             ...  \n",
      "24763                  3               2  \n",
      "24798                  1               1  \n",
      "24828                  1               0  \n",
      "24857                  1               1  \n",
      "24889                  4               3  \n",
      "\n",
      "[840 rows x 66 columns]\n",
      "             Game ID Game_Type Team   Team City Team Name Home_Away Opponent  \\\n",
      "702    25087_SDG_CIN   Regular  CIN  Cincinatti   Bengals         @      SDG   \n",
      "715    25096_CIN_DEN   Regular  CIN  Cincinatti   Bengals       NaN      DEN   \n",
      "741    25103_CIN_BUF   Regular  CIN  Cincinatti   Bengals       NaN      BUF   \n",
      "765    25110_CIN_SDG   Regular  CIN  Cincinatti   Bengals       NaN      SDG   \n",
      "794    25117_DEN_CIN   Regular  CIN  Cincinatti   Bengals         @      DEN   \n",
      "...              ...       ...  ...         ...       ...       ...      ...   \n",
      "24732  43436_CIN_DEN   Regular  CIN  Cincinatti   Bengals       NaN      DEN   \n",
      "24764  43443_LAC_CIN   Regular  CIN  Cincinatti   Bengals         @      LAC   \n",
      "24799  43450_CIN_OAK   Regular  CIN  Cincinatti   Bengals       NaN      OAK   \n",
      "24829  43457_CLE_CIN   Regular  CIN  Cincinatti   Bengals         @      CLE   \n",
      "24858  43464_PIT_CIN   Regular  CIN  Cincinatti   Bengals         @      PIT   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "702       San Diego      Chargers  1968  ...                 13   \n",
      "715          Denver       Broncos  1968  ...                  3   \n",
      "741         Buffalo         Bills  1968  ...                  7   \n",
      "765       San Diego      Chargers  1968  ...                  0   \n",
      "794          Denver       Broncos  1968  ...                  3   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24732        Denver       Broncos  2018  ...                 14   \n",
      "24764   Los Angeles      Chargers  2018  ...                  3   \n",
      "24799       Oakland       Raiders  2018  ...                  6   \n",
      "24829     Cleveland        Browns  2018  ...                  7   \n",
      "24858    Pittsburgh      Steelers  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "702                    6         10         3                10   \n",
      "715                    7          0        24                 0   \n",
      "741                    9         10        24                 7   \n",
      "765                   14          3         7                17   \n",
      "794                    7          7         0                 0   \n",
      "...                  ...        ...       ...               ...   \n",
      "24732                  3          3         7                 7   \n",
      "24764                  6         12         9                17   \n",
      "24799                  3         20        10                 7   \n",
      "24829                  3          0        18                16   \n",
      "24858                  6         10         3                 3   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "702                  19                   1                1   \n",
      "715                  10                   3                3   \n",
      "741                  16                   4                4   \n",
      "765                  14                   1                1   \n",
      "794                  10                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "24732                17                   1                1   \n",
      "24764                 9                   0                0   \n",
      "24799                 9                   3                3   \n",
      "24829                10                   1                1   \n",
      "24858                13                   1                1   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "702                    2               2  \n",
      "715                    2               1  \n",
      "741                    4               2  \n",
      "765                    3               1  \n",
      "794                    2               0  \n",
      "...                  ...             ...  \n",
      "24732                  1               1  \n",
      "24764                  3               3  \n",
      "24799                  3               3  \n",
      "24829                  1               1  \n",
      "24858                  2               2  \n",
      "\n",
      "[807 rows x 66 columns]\n",
      "             Game ID Game_Type Team  Team City Team Name Home_Away Opponent  \\\n",
      "17     24361_WAS_CLE   Regular  CLE  Cleveland    Browns         @      WAS   \n",
      "34     24368_CLE_GNB   Regular  CLE  Cleveland    Browns       NaN      GNB   \n",
      "54     24375_CLE_STL   Regular  CLE  Cleveland    Browns       NaN      STL   \n",
      "78     24382_NYG_CLE   Regular  CLE  Cleveland    Browns         @      NYG   \n",
      "96     24388_CLE_PIT   Regular  CLE  Cleveland    Browns       NaN      PIT   \n",
      "...              ...       ...  ...        ...       ...       ...      ...   \n",
      "24733  43436_HOU_CLE   Regular  CLE  Cleveland    Browns         @      HOU   \n",
      "24765  43443_CLE_CAR   Regular  CLE  Cleveland    Browns       NaN      CAR   \n",
      "24790  43449_DEN_CLE   Regular  CLE  Cleveland    Browns         @      DEN   \n",
      "24830  43457_CLE_CIN   Regular  CLE  Cleveland    Browns       NaN      CIN   \n",
      "24859  43464_BAL_CLE   Regular  CLE  Cleveland    Browns         @      BAL   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "17       Washington      Redskins  1966  ...                  0   \n",
      "34        Green Bay       Packers  1966  ...                  7   \n",
      "54        St. Louis     Cardinals  1966  ...                 14   \n",
      "78         New York        Giants  1966  ...                  0   \n",
      "96       Pittsburgh      Steelers  1966  ...                 10   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24733       Houston        Texans  2018  ...                  3   \n",
      "24765      Carolina      Panthers  2018  ...                  3   \n",
      "24790        Denver       Broncos  2018  ...                  3   \n",
      "24830    Cincinatti       Bengals  2018  ...                  0   \n",
      "24859     Baltimore        Ravens  2018  ...                  3   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "17                     0          7        31                14   \n",
      "34                     7         17         3                 7   \n",
      "54                     6         21         7                14   \n",
      "78                     0         14        14                 7   \n",
      "96                     0         21        20                 0   \n",
      "...                  ...        ...       ...               ...   \n",
      "24733                  3          0        13                23   \n",
      "24765                  0         17         9                17   \n",
      "24790                  3         10         7                10   \n",
      "24830                 18         16        10                 0   \n",
      "24859                  3          7        17                20   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "17                    0                   5                5   \n",
      "34                   14                   2                2   \n",
      "54                   20                   4                4   \n",
      "78                    0                   4                4   \n",
      "96                   10                   5                5   \n",
      "...                 ...                 ...              ...   \n",
      "24733                 6                   1                1   \n",
      "24765                 3                   3                2   \n",
      "24790                 6                   2                2   \n",
      "24830                18                   3                2   \n",
      "24859                 6                   3                3   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "17                     1               1  \n",
      "34                     2               2  \n",
      "54                     3               0  \n",
      "78                     2               0  \n",
      "96                     1               0  \n",
      "...                  ...             ...  \n",
      "24733                  0               0  \n",
      "24765                  2               2  \n",
      "24790                  1               1  \n",
      "24830                  2               2  \n",
      "24859                  2               1  \n",
      "\n",
      "[788 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "35     24368_DAL_NYG   Regular  DAL    Dallas   Cowboys       NaN      NYG   \n",
      "55     24375_DAL_MIN   Regular  DAL    Dallas   Cowboys       NaN      MIN   \n",
      "79     24382_ATL_DAL   Regular  DAL    Dallas   Cowboys         @      ATL   \n",
      "105    24389_DAL_PHI   Regular  DAL    Dallas   Cowboys       NaN      PHI   \n",
      "120    24396_STL_DAL   Regular  DAL    Dallas   Cowboys         @      STL   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24800  43450_IND_DAL   Regular  DAL    Dallas   Cowboys         @      IND   \n",
      "24831  43457_DAL_TAM   Regular  DAL    Dallas   Cowboys       NaN      TAM   \n",
      "24860  43464_NYG_DAL   Regular  DAL    Dallas   Cowboys         @      NYG   \n",
      "24884  43470_DAL_SEA   Playoff  DAL    Dallas   Cowboys       NaN      SEA   \n",
      "24892  43477_LAR_DAL   Playoff  DAL    Dallas   Cowboys         @      LAR   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "35         New York        Giants  1966  ...                  0   \n",
      "55        Minnesota       Vikings  1966  ...                  7   \n",
      "79          Atlanta       Falcons  1966  ...                  7   \n",
      "105    Philadelphia        Eagles  1966  ...                  0   \n",
      "120       St. Louis     Cardinals  1966  ...                  0   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24800  Indianapolis         Colts  2018  ...                 10   \n",
      "24831     Tampa Bay    Buccaneers  2018  ...                  0   \n",
      "24860      New York        Giants  2018  ...                 11   \n",
      "24884       Seattle      Seahawks  2018  ...                  8   \n",
      "24892   Los Angeles          Rams  2018  ...                  3   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "35                     0         31        21                 7   \n",
      "55                     0          7        21                10   \n",
      "79                     0         17        30                 7   \n",
      "105                    7         28        28                 0   \n",
      "120                    3          3         7                 7   \n",
      "...                  ...        ...       ...               ...   \n",
      "24800                  3          0         0                10   \n",
      "24831                  7         17        10                13   \n",
      "24860                 17         14        22                 7   \n",
      "24884                  8         10        14                 6   \n",
      "24892                  7          7        15                20   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "35                    0                   7                7   \n",
      "55                    7                   4                4   \n",
      "79                    7                   6                6   \n",
      "105                   7                   8                8   \n",
      "120                   3                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "24800                13                   0                0   \n",
      "24831                 7                   3                3   \n",
      "24860                28                   4                4   \n",
      "24884                16                   3                3   \n",
      "24892                10                   2                2   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "35                     1               1  \n",
      "55                     1               0  \n",
      "79                     1               1  \n",
      "105                    1               0  \n",
      "120                    3               1  \n",
      "...                  ...             ...  \n",
      "24800                  1               0  \n",
      "24831                  2               2  \n",
      "24860                  1               0  \n",
      "24884                  2               1  \n",
      "24892                  0               0  \n",
      "\n",
      "[879 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "2      24353_HOU_DEN   Regular  DEN    Denver   Broncos         @      HOU   \n",
      "36     24368_DEN_BOS   Regular  DEN    Denver   Broncos       NaN      BOS   \n",
      "56     24375_DEN_NYJ   Regular  DEN    Denver   Broncos       NaN      NYJ   \n",
      "80     24382_DEN_HOU   Regular  DEN    Denver   Broncos       NaN      HOU   \n",
      "97     24388_KAN_DEN   Regular  DEN    Denver   Broncos         @      KAN   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24734  43436_CIN_DEN   Regular  DEN    Denver   Broncos         @      CIN   \n",
      "24767  43443_SFO_DEN   Regular  DEN    Denver   Broncos         @      SFO   \n",
      "24791  43449_DEN_CLE   Regular  DEN    Denver   Broncos       NaN      CLE   \n",
      "24850  43458_OAK_DEN   Regular  DEN    Denver   Broncos         @      OAK   \n",
      "24861  43464_DEN_LAC   Regular  DEN    Denver   Broncos       NaN      LAC   \n",
      "\n",
      "       Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "2            Houston        Oilers  1966  ...                  7   \n",
      "36            Boston      Patriots  1966  ...                  0   \n",
      "56          New York          Jets  1966  ...                  6   \n",
      "80           Houston        Oilers  1966  ...                 14   \n",
      "97       Kansas City        Chiefs  1966  ...                  3   \n",
      "...              ...           ...   ...  ...                ...   \n",
      "24734     Cincinatti       Bengals  2018  ...                  7   \n",
      "24767  San Francisco         49ers  2018  ...                  0   \n",
      "24791      Cleveland        Browns  2018  ...                  0   \n",
      "24850        Oakland       Raiders  2018  ...                  0   \n",
      "24861    Los Angeles      Chargers  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "2                     21          7         0                17   \n",
      "36                    15         10         0                 9   \n",
      "56                    10          7         0                 0   \n",
      "80                     7         23        17                17   \n",
      "97                    13          3         7                21   \n",
      "...                  ...        ...       ...               ...   \n",
      "24734                  0          7        17                 3   \n",
      "24767                  0          0        14                20   \n",
      "24791                  7         10         6                10   \n",
      "24850                 10          0        14                17   \n",
      "24861                  9          3         6                 7   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "2                    28                   1                1   \n",
      "36                   15                   1                1   \n",
      "56                   16                   1                1   \n",
      "80                   21                   4                4   \n",
      "97                   16                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "24734                 7                   3                3   \n",
      "24767                 0                   2                2   \n",
      "24791                 7                   1                1   \n",
      "24850                10                   2                2   \n",
      "24861                16                   0                0   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "2                      0               0  \n",
      "36                     1               1  \n",
      "56                     0               0  \n",
      "80                     6               4  \n",
      "97                     2               1  \n",
      "...                  ...             ...  \n",
      "24734                  2               1  \n",
      "24767                  0               0  \n",
      "24791                  3               3  \n",
      "24850                  1               0  \n",
      "24861                  1               1  \n",
      "\n",
      "[858 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "18     24361_DET_CHI   Regular  DET   Detriot     Lions       NaN      CHI   \n",
      "37     24368_PIT_DET   Regular  DET   Detriot     Lions         @      PIT   \n",
      "57     24375_DET_ATL   Regular  DET   Detriot     Lions       NaN      ATL   \n",
      "81     24382_GNB_DET   Regular  DET   Detriot     Lions         @      GNB   \n",
      "106    24389_DET_RAM   Regular  DET   Detriot     Lions       NaN      RAM   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24735  43436_DET_LAR   Regular  DET   Detriot     Lions       NaN      LAR   \n",
      "24768  43443_ARI_DET   Regular  DET   Detriot     Lions         @      ARI   \n",
      "24801  43450_BUF_DET   Regular  DET   Detriot     Lions         @      BUF   \n",
      "24832  43457_DET_MIN   Regular  DET   Detriot     Lions       NaN      MIN   \n",
      "24862  43464_GNB_DET   Regular  DET   Detriot     Lions         @      GNB   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "18          Chicago         Bears  1966  ...                  0   \n",
      "37       Pittsburgh      Steelers  1966  ...                  7   \n",
      "57          Atlanta       Falcons  1966  ...                  3   \n",
      "81        Green Bay       Packers  1966  ...                  3   \n",
      "106     Los Angeles          Rams  1966  ...                  7   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24735   Los Angeles          Rams  2018  ...                  3   \n",
      "24768       Arizona     Cardinals  2018  ...                  0   \n",
      "24801       Buffalo         Bills  2018  ...                  0   \n",
      "24832     Minnesota       Vikings  2018  ...                  3   \n",
      "24862     Green Bay       Packers  2018  ...                  0   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "18                     0         14         0                 3   \n",
      "37                     7          0         3                 3   \n",
      "57                     0         21         7                 7   \n",
      "81                     3          7         7                17   \n",
      "106                    0          0         7                 7   \n",
      "...                  ...        ...       ...               ...   \n",
      "24735                 14          3        13                13   \n",
      "24768                  3          3        14                 0   \n",
      "24801                  7         13         0                 7   \n",
      "24832                 10          9         0                14   \n",
      "24862                  0         21        10                 0   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "18                    0                   2                2   \n",
      "37                   14                   0                0   \n",
      "57                    3                   4                4   \n",
      "81                    6                   2                2   \n",
      "106                   7                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "24735                17                   1                1   \n",
      "24768                 3                   2                2   \n",
      "24801                 7                   1                1   \n",
      "24832                13                   0                0   \n",
      "24862                 0                   4                4   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "18                     0               0  \n",
      "37                     3               1  \n",
      "57                     1               0  \n",
      "81                     1               0  \n",
      "106                    0               0  \n",
      "...                  ...             ...  \n",
      "24735                  3               3  \n",
      "24768                  1               1  \n",
      "24801                  1               0  \n",
      "24832                  3               3  \n",
      "24862                  1               1  \n",
      "\n",
      "[829 rows x 66 columns]\n",
      "             Game ID Game_Type Team  Team City Team Name Home_Away Opponent  \\\n",
      "10     24360_GNB_BAL   Regular  GNB  Green Bay   Packers       NaN      BAL   \n",
      "38     24368_CLE_GNB   Regular  GNB  Green Bay   Packers         @      CLE   \n",
      "58     24375_GNB_RAM   Regular  GNB  Green Bay   Packers       NaN      RAM   \n",
      "82     24382_GNB_DET   Regular  GNB  Green Bay   Packers       NaN      DET   \n",
      "107    24389_SFO_GNB   Regular  GNB  Green Bay   Packers         @      SFO   \n",
      "...              ...       ...  ...        ...       ...       ...      ...   \n",
      "24736  43436_GNB_ARI   Regular  GNB  Green Bay   Packers       NaN      ARI   \n",
      "24769  43443_GNB_ATL   Regular  GNB  Green Bay   Packers       NaN      ATL   \n",
      "24802  43450_CHI_GNB   Regular  GNB  Green Bay   Packers         @      CHI   \n",
      "24833  43457_NYJ_GNB   Regular  GNB  Green Bay   Packers         @      NYJ   \n",
      "24863  43464_GNB_DET   Regular  GNB  Green Bay   Packers       NaN      DET   \n",
      "\n",
      "       Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "10         Baltimore         Colts  1966  ...                  0   \n",
      "38         Cleveland        Browns  1966  ...                  0   \n",
      "58       Los Angeles          Rams  1966  ...                  7   \n",
      "82           Detriot         Lions  1966  ...                  0   \n",
      "107    San Francisco         49ers  1966  ...                  7   \n",
      "...              ...           ...   ...  ...                ...   \n",
      "24736        Arizona     Cardinals  2018  ...                 10   \n",
      "24769        Atlanta       Falcons  2018  ...                  0   \n",
      "24802        Chicago         Bears  2018  ...                  0   \n",
      "24833       New York          Jets  2018  ...                 14   \n",
      "24863        Detriot         Lions  2018  ...                  3   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "10                     0         14        10                 3   \n",
      "38                     3          7        14                17   \n",
      "58                     0         17         7                 6   \n",
      "82                     7         17         6                 7   \n",
      "107                    7          3        17                 7   \n",
      "...                  ...        ...       ...               ...   \n",
      "24736                  3         10         7                 7   \n",
      "24769                 13         20        14                 7   \n",
      "24802                 10          3        14                14   \n",
      "24833                  3         17        21                21   \n",
      "24863                  7          0         0                21   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "10                    0                   3                3   \n",
      "38                    3                   3                3   \n",
      "58                    7                   3                3   \n",
      "82                    7                   2                2   \n",
      "107                  14                   2                2   \n",
      "...                 ...                 ...              ...   \n",
      "24736                13                   2                2   \n",
      "24769                13                   4                4   \n",
      "24802                10                   0                0   \n",
      "24833                17                   3                3   \n",
      "24863                10                   0                0   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "10                     2               1  \n",
      "38                     1               0  \n",
      "58                     2               1  \n",
      "82                     4               3  \n",
      "107                    4               2  \n",
      "...                  ...             ...  \n",
      "24736                  2               1  \n",
      "24769                  2               2  \n",
      "24802                  3               3  \n",
      "24833                  3               3  \n",
      "24863                  0               0  \n",
      "\n",
      "[862 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "3      24353_HOU_DEN   Regular  HOU   Houston    Oilers       NaN      DEN   \n",
      "11     24360_HOU_OAK   Regular  HOU   Houston    Oilers       NaN      OAK   \n",
      "39     24368_NYJ_HOU   Regular  HOU   Houston    Oilers         @      NYJ   \n",
      "59     24375_BUF_HOU   Regular  HOU   Houston    Oilers         @      BUF   \n",
      "83     24382_DEN_HOU   Regular  HOU   Houston    Oilers         @      DEN   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24770  43443_HOU_IND   Regular  HOU   Houston    Texans       NaN      IND   \n",
      "24792  43449_NYJ_HOU   Regular  HOU   Houston    Texans         @      NYJ   \n",
      "24834  43457_PHI_HOU   Regular  HOU   Houston    Texans         @      PHI   \n",
      "24864  43464_HOU_JAX   Regular  HOU   Houston    Texans       NaN      JAX   \n",
      "24885  43470_HOU_IND   Playoff  HOU   Houston    Texans       NaN      IND   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "3            Denver       Broncos  1966  ...                  0   \n",
      "11          Oakland       Raiders  1966  ...                  0   \n",
      "39         New York          Jets  1966  ...                 17   \n",
      "59          Buffalo         Bills  1966  ...                  0   \n",
      "83           Denver       Broncos  1966  ...                 14   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24770  Indianapolis         Colts  2018  ...                  7   \n",
      "24792      New York          Jets  2018  ...                  6   \n",
      "24834  Philadelphia        Eagles  2018  ...                 10   \n",
      "24864  Jacksonville       Jaguars  2018  ...                  0   \n",
      "24885  Indianapolis         Colts  2018  ...                  0   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "3                      0         17        28                 7   \n",
      "11                     0         14        17                 0   \n",
      "39                    14          6         7                21   \n",
      "59                     7          6        14                20   \n",
      "83                     3         17        21                23   \n",
      "...                  ...        ...       ...               ...   \n",
      "24770                  0          7        14                17   \n",
      "24792                  7         16        13                 9   \n",
      "24834                  9         16        14                13   \n",
      "24864                  0         17         3                 3   \n",
      "24885                  0          0         7                21   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "3                     0                   6                6   \n",
      "11                    0                   4                4   \n",
      "39                   31                   1                1   \n",
      "59                    7                   2                2   \n",
      "83                   17                   5                5   \n",
      "...                 ...                 ...              ...   \n",
      "24770                 7                   3                3   \n",
      "24792                13                   2                2   \n",
      "24834                19                   4                3   \n",
      "24864                 0                   2                2   \n",
      "24885                 0                   1                1   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "3                      5               1  \n",
      "11                     2               1  \n",
      "39                     2               2  \n",
      "59                     3               2  \n",
      "83                     1               1  \n",
      "...                  ...             ...  \n",
      "24770                  0               0  \n",
      "24792                  5               5  \n",
      "24834                  1               1  \n",
      "24864                  2               2  \n",
      "24885                  0               0  \n",
      "\n",
      "[763 rows x 66 columns]\n",
      "             Game ID Game_Type Team     Team City Team Name Home_Away  \\\n",
      "7156   30927_IND_NYJ   Regular  IND  Indianapolis     Colts       NaN   \n",
      "7188   30934_HOU_IND   Regular  IND  Indianapolis     Colts         @   \n",
      "7213   30941_IND_STL   Regular  IND  Indianapolis     Colts       NaN   \n",
      "7242   30948_MIA_IND   Regular  IND  Indianapolis     Colts         @   \n",
      "7269   30955_IND_BUF   Regular  IND  Indianapolis     Colts       NaN   \n",
      "...              ...       ...  ...           ...       ...       ...   \n",
      "24803  43450_IND_DAL   Regular  IND  Indianapolis     Colts       NaN   \n",
      "24835  43457_IND_NYG   Regular  IND  Indianapolis     Colts       NaN   \n",
      "24865  43464_TEN_IND   Regular  IND  Indianapolis     Colts         @   \n",
      "24886  43470_HOU_IND   Playoff  IND  Indianapolis     Colts         @   \n",
      "24893  43477_KAN_IND   Playoff  IND  Indianapolis     Colts         @   \n",
      "\n",
      "      Opponent Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "7156       NYJ      New York          Jets  1984  ...                  9   \n",
      "7188       HOU       Houston        Oilers  1984  ...                  0   \n",
      "7213       STL     St. Louis     Cardinals  1984  ...                  3   \n",
      "7242       MIA         Miami      Dolphins  1984  ...                 14   \n",
      "7269       BUF       Buffalo         Bills  1984  ...                  7   \n",
      "...        ...           ...           ...   ...  ...                ...   \n",
      "24803      DAL        Dallas       Cowboys  2018  ...                  0   \n",
      "24835      NYG      New York        Giants  2018  ...                  7   \n",
      "24865      TEN     Tennessee        Titans  2018  ...                  7   \n",
      "24886      HOU       Houston        Texans  2018  ...                  0   \n",
      "24893      KAN   Kansas City        Chiefs  2018  ...                  0   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "7156                   7          7         7                 7   \n",
      "7188                   7         21        14                14   \n",
      "7213                  17         17        16                14   \n",
      "7242                   7          7         0                23   \n",
      "7269                   0         10        21                10   \n",
      "...                  ...        ...       ...               ...   \n",
      "24803                  0         10        13                 0   \n",
      "24835                  3          7        21                17   \n",
      "24865                  0         17        16                10   \n",
      "24886                  7         21         0                 0   \n",
      "24893                  7          7         6                24   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "7156                 16                   2                2   \n",
      "7188                  7                   5                5   \n",
      "7213                 20                   4                3   \n",
      "7242                 21                   1                1   \n",
      "7269                  7                   4                4   \n",
      "...                 ...                 ...              ...   \n",
      "24803                 0                   2                2   \n",
      "24835                10                   4                4   \n",
      "24865                 7                   4                3   \n",
      "24886                 7                   3                3   \n",
      "24893                 7                   2                1   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "7156                   0               0  \n",
      "7188                   0               0  \n",
      "7213                   2               2  \n",
      "7242                   1               0  \n",
      "7269                   2               1  \n",
      "...                  ...             ...  \n",
      "24803                  3               3  \n",
      "24835                  0               0  \n",
      "24865                  2               2  \n",
      "24886                  0               0  \n",
      "24893                  1               0  \n",
      "\n",
      "[591 rows x 66 columns]\n",
      "             Game ID Game_Type Team     Team City Team Name Home_Away  \\\n",
      "12278  34945_JAX_HOU   Regular  JAX  Jacksonville   Jaguars       NaN   \n",
      "12307  34952_CIN_JAX   Regular  JAX  Jacksonville   Jaguars         @   \n",
      "12339  34959_NYJ_JAX   Regular  JAX  Jacksonville   Jaguars         @   \n",
      "12365  34966_JAX_GNB   Regular  JAX  Jacksonville   Jaguars       NaN   \n",
      "12388  34973_HOU_JAX   Regular  JAX  Jacksonville   Jaguars         @   \n",
      "...              ...       ...  ...           ...       ...       ...   \n",
      "24739  43436_JAX_IND   Regular  JAX  Jacksonville   Jaguars       NaN   \n",
      "24756  43440_TEN_JAX   Regular  JAX  Jacksonville   Jaguars         @   \n",
      "24804  43450_JAX_WAS   Regular  JAX  Jacksonville   Jaguars       NaN   \n",
      "24836  43457_MIA_JAX   Regular  JAX  Jacksonville   Jaguars         @   \n",
      "24866  43464_HOU_JAX   Regular  JAX  Jacksonville   Jaguars         @   \n",
      "\n",
      "      Opponent Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "12278      HOU       Houston        Oilers  1995  ...                  3   \n",
      "12307      CIN    Cincinatti       Bengals  1995  ...                  7   \n",
      "12339      NYJ      New York          Jets  1995  ...                 14   \n",
      "12365      GNB     Green Bay       Packers  1995  ...                  7   \n",
      "12388      HOU       Houston        Oilers  1995  ...                  7   \n",
      "...        ...           ...           ...   ...  ...                ...   \n",
      "24739      IND  Indianapolis         Colts  2018  ...                  0   \n",
      "24756      TEN     Tennessee        Titans  2018  ...                 14   \n",
      "24804      WAS    Washington      Redskins  2018  ...                  3   \n",
      "24836      MIA         Miami      Dolphins  2018  ...                  0   \n",
      "24866      HOU       Houston        Texans  2018  ...                  0   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "12278                  0          0         3                 7   \n",
      "12307                  7          7        10                10   \n",
      "12339                  0          3         7                13   \n",
      "12365                  7          0        14                10   \n",
      "12388                  3         10         7                 6   \n",
      "...                  ...        ...       ...               ...   \n",
      "24739                  0          3         3                 0   \n",
      "24756                  0          2         7                16   \n",
      "24804                 10         10         3                 3   \n",
      "24836                  0          7        10                 7   \n",
      "24866                  3          3         0                17   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "12278                 3                   0                0   \n",
      "12307                14                   2                2   \n",
      "12339                14                   1                1   \n",
      "12365                14                   2                2   \n",
      "12388                10                   2                2   \n",
      "...                 ...                 ...              ...   \n",
      "24739                 0                   0                0   \n",
      "24756                14                   1                1   \n",
      "24804                13                   1                1   \n",
      "24836                 0                   2                2   \n",
      "24866                 3                   0                0   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "12278                  2               1  \n",
      "12307                  1               1  \n",
      "12339                  1               1  \n",
      "12365                  0               0  \n",
      "12388                  1               1  \n",
      "...                  ...             ...  \n",
      "24739                  2               2  \n",
      "24756                  0               0  \n",
      "24804                  2               2  \n",
      "24836                  2               1  \n",
      "24866                  1               1  \n",
      "\n",
      "[398 rows x 66 columns]\n",
      "             Game ID Game_Type Team    Team City Team Name Home_Away Opponent  \\\n",
      "19     24361_BUF_KAN   Regular  KAN  Kansas City    Chiefs         @      BUF   \n",
      "40     24368_OAK_KAN   Regular  KAN  Kansas City    Chiefs         @      OAK   \n",
      "60     24375_BOS_KAN   Regular  KAN  Kansas City    Chiefs         @      BOS   \n",
      "84     24382_KAN_BUF   Regular  KAN  Kansas City    Chiefs       NaN      BUF   \n",
      "98     24388_KAN_DEN   Regular  KAN  Kansas City    Chiefs       NaN      DEN   \n",
      "...              ...       ...  ...          ...       ...       ...      ...   \n",
      "24788  43447_KAN_LAC   Regular  KAN  Kansas City    Chiefs       NaN      LAC   \n",
      "24837  43457_SEA_KAN   Regular  KAN  Kansas City    Chiefs         @      SEA   \n",
      "24867  43464_KAN_OAK   Regular  KAN  Kansas City    Chiefs       NaN      OAK   \n",
      "24894  43477_KAN_IND   Playoff  KAN  Kansas City    Chiefs       NaN      IND   \n",
      "24900  43485_KAN_NWE   Playoff  KAN  Kansas City    Chiefs       NaN      NWE   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "19          Buffalo         Bills  1966  ...                  3   \n",
      "40          Oakland       Raiders  1966  ...                  0   \n",
      "60           Boston      Patriots  1966  ...                  7   \n",
      "84          Buffalo         Bills  1966  ...                  3   \n",
      "98           Denver       Broncos  1966  ...                  0   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24788   Los Angeles      Chargers  2018  ...                  7   \n",
      "24837       Seattle      Seahawks  2018  ...                 10   \n",
      "24867       Oakland       Raiders  2018  ...                  0   \n",
      "24894  Indianapolis         Colts  2018  ...                  0   \n",
      "24900   New England      Patriots  2018  ...                  3   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "19                     7         21        21                10   \n",
      "40                     0         10        22                10   \n",
      "60                     3         17        26                14   \n",
      "84                    14         14         0                12   \n",
      "98                     7         21        16                 3   \n",
      "...                  ...        ...       ...               ...   \n",
      "24788                 15         14        14                 7   \n",
      "24837                 14         10        21                14   \n",
      "24867                  0         21        14                 3   \n",
      "24894                  6         24         7                 7   \n",
      "24900                 14          0        31                14   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "19                   10                   6                6   \n",
      "40                    0                   3                3   \n",
      "60                   10                   6                4   \n",
      "84                   17                   2                2   \n",
      "98                    7                   4                4   \n",
      "...                 ...                 ...              ...   \n",
      "24788                22                   4                4   \n",
      "24837                24                   2                2   \n",
      "24867                 0                   5                5   \n",
      "24894                 6                   4                4   \n",
      "24900                17                   4                4   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "19                     0               0  \n",
      "40                     1               1  \n",
      "60                     1               1  \n",
      "84                     0               0  \n",
      "98                     3               3  \n",
      "...                  ...             ...  \n",
      "24788                  0               0  \n",
      "24837                  3               3  \n",
      "24867                  0               0  \n",
      "24894                  1               1  \n",
      "24900                  1               1  \n",
      "\n",
      "[844 rows x 66 columns]\n",
      "             Game ID Game_Type Team    Team City Team Name Home_Away Opponent  \\\n",
      "23865  42989_DEN_LAC   Regular  LAC  Los Angeles  Chargers         @      DEN   \n",
      "23883  42995_LAC_MIA   Regular  LAC  Los Angeles  Chargers       NaN      MIA   \n",
      "23916  43002_LAC_KAN   Regular  LAC  Los Angeles  Chargers       NaN      KAN   \n",
      "23947  43009_LAC_PHI   Regular  LAC  Los Angeles  Chargers       NaN      PHI   \n",
      "23979  43016_NYG_LAC   Regular  LAC  Los Angeles  Chargers         @      NYG   \n",
      "24005  43023_OAK_LAC   Regular  LAC  Los Angeles  Chargers         @      OAK   \n",
      "24035  43030_LAC_DEN   Regular  LAC  Los Angeles  Chargers       NaN      DEN   \n",
      "24062  43037_NWE_LAC   Regular  LAC  Los Angeles  Chargers         @      NWE   \n",
      "24116  43051_JAX_LAC   Regular  LAC  Los Angeles  Chargers         @      JAX   \n",
      "24145  43058_LAC_BUF   Regular  LAC  Los Angeles  Chargers       NaN      BUF   \n",
      "24160  43062_DAL_LAC   Regular  LAC  Los Angeles  Chargers         @      DAL   \n",
      "24206  43072_LAC_CLE   Regular  LAC  Los Angeles  Chargers       NaN      CLE   \n",
      "24239  43079_LAC_WAS   Regular  LAC  Los Angeles  Chargers       NaN      WAS   \n",
      "24259  43085_KAN_LAC   Regular  LAC  Los Angeles  Chargers         @      KAN   \n",
      "24302  43093_NYJ_LAC   Regular  LAC  Los Angeles  Chargers         @      NYJ   \n",
      "24334  43100_LAC_OAK   Regular  LAC  Los Angeles  Chargers       NaN      OAK   \n",
      "24388  43352_LAC_KAN   Regular  LAC  Los Angeles  Chargers       NaN      KAN   \n",
      "24419  43359_BUF_LAC   Regular  LAC  Los Angeles  Chargers         @      BUF   \n",
      "24453  43366_LAR_LAC   Regular  LAC  Los Angeles  Chargers         @      LAR   \n",
      "24483  43373_LAC_SFO   Regular  LAC  Los Angeles  Chargers       NaN      SFO   \n",
      "24514  43380_LAC_OAK   Regular  LAC  Los Angeles  Chargers       NaN      OAK   \n",
      "24544  43387_CLE_LAC   Regular  LAC  Los Angeles  Chargers         @      CLE   \n",
      "24572  43394_LAC_TEN   Regular  LAC  Los Angeles  Chargers       NaN      TEN   \n",
      "24627  43408_SEA_LAC   Regular  LAC  Los Angeles  Chargers         @      SEA   \n",
      "24654  43415_OAK_LAC   Regular  LAC  Los Angeles  Chargers         @      OAK   \n",
      "24682  43422_LAC_DEN   Regular  LAC  Los Angeles  Chargers       NaN      DEN   \n",
      "24710  43429_LAC_ARI   Regular  LAC  Los Angeles  Chargers       NaN      ARI   \n",
      "24741  43436_PIT_LAC   Regular  LAC  Los Angeles  Chargers         @      PIT   \n",
      "24773  43443_LAC_CIN   Regular  LAC  Los Angeles  Chargers       NaN      CIN   \n",
      "24789  43447_KAN_LAC   Regular  LAC  Los Angeles  Chargers         @      KAN   \n",
      "24821  43456_LAC_BAL   Regular  LAC  Los Angeles  Chargers       NaN      BAL   \n",
      "24868  43464_DEN_LAC   Regular  LAC  Los Angeles  Chargers         @      DEN   \n",
      "24890  43471_BAL_LAC   Playoff  LAC  Los Angeles  Chargers         @      BAL   \n",
      "24896  43478_NWE_LAC   Playoff  LAC  Los Angeles  Chargers         @      NWE   \n",
      "\n",
      "       Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "23865         Denver       Broncos  2017  ...                 10   \n",
      "23883          Miami      Dolphins  2017  ...                 10   \n",
      "23916    Kansas City        Chiefs  2017  ...                  0   \n",
      "23947   Philadelphia        Eagles  2017  ...                  3   \n",
      "23979       New York        Giants  2017  ...                  7   \n",
      "24005        Oakland       Raiders  2017  ...                  0   \n",
      "24035         Denver       Broncos  2017  ...                  0   \n",
      "24062    New England      Patriots  2017  ...                  3   \n",
      "24116   Jacksonville       Jaguars  2017  ...                  8   \n",
      "24145        Buffalo         Bills  2017  ...                  3   \n",
      "24160         Dallas       Cowboys  2017  ...                  0   \n",
      "24206      Cleveland        Browns  2017  ...                  0   \n",
      "24239     Washington      Redskins  2017  ...                  0   \n",
      "24259    Kansas City        Chiefs  2017  ...                 10   \n",
      "24302       New York          Jets  2017  ...                  7   \n",
      "24334        Oakland       Raiders  2017  ...                  0   \n",
      "24388    Kansas City        Chiefs  2018  ...                 14   \n",
      "24419        Buffalo         Bills  2018  ...                  7   \n",
      "24453    Los Angeles          Rams  2018  ...                 14   \n",
      "24483  San Francisco         49ers  2018  ...                  7   \n",
      "24514        Oakland       Raiders  2018  ...                  0   \n",
      "24544      Cleveland        Browns  2018  ...                  0   \n",
      "24572      Tennessee        Titans  2018  ...                  7   \n",
      "24627        Seattle      Seahawks  2018  ...                  0   \n",
      "24654        Oakland       Raiders  2018  ...                  0   \n",
      "24682         Denver       Broncos  2018  ...                  7   \n",
      "24710        Arizona     Cardinals  2018  ...                  0   \n",
      "24741     Pittsburgh      Steelers  2018  ...                  0   \n",
      "24773     Cincinatti       Bengals  2018  ...                  0   \n",
      "24789    Kansas City        Chiefs  2018  ...                  7   \n",
      "24821      Baltimore        Ravens  2018  ...                 10   \n",
      "24868         Denver       Broncos  2018  ...                  0   \n",
      "24890      Baltimore        Ravens  2018  ...                  3   \n",
      "24896    New England      Patriots  2018  ...                  3   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "23865                  0          7        14                14   \n",
      "23883                  6         10         7                 3   \n",
      "23916                  7         10         0                17   \n",
      "23947                  7         10        14                16   \n",
      "23979                  6         10        17                 9   \n",
      "24005                  6          7        10                10   \n",
      "24035                  0         14         7                 0   \n",
      "24062                  3          7         6                15   \n",
      "24116                  3          7        10                 6   \n",
      "24145                 14         37        17                 7   \n",
      "24160                  6          3        25                 0   \n",
      "24206                  3          9        10                 7   \n",
      "24239                  7         23         7                 6   \n",
      "24259                 10          6         7                10   \n",
      "24302                  0          7         7                 0   \n",
      "24334                  0         20        10                10   \n",
      "24388                  7         12        16                17   \n",
      "24419                  7         28         3                 6   \n",
      "24453                  0         13        10                21   \n",
      "24483                  3         17        12                17   \n",
      "24514                  7         17         9                 3   \n",
      "24544                  8         21        17                 6   \n",
      "24572                  6         10        10                 6   \n",
      "24627                  7         19         6                10   \n",
      "24654                  3         10        10                 3   \n",
      "24682                  9         13         9                 7   \n",
      "24710                  0         28        17                10   \n",
      "24741                  7          7        26                23   \n",
      "24773                  9         17         9                12   \n",
      "24789                  7          7        22                14   \n",
      "24821                  6          3         7                 6   \n",
      "24868                  6          7        16                 3   \n",
      "24890                 14         12        11                 0   \n",
      "24896                  3          7        21                35   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "23865                10                   3                3   \n",
      "23883                16                   2                2   \n",
      "23916                 7                   1                1   \n",
      "23947                10                   3                3   \n",
      "23979                13                   3                3   \n",
      "24005                 6                   2                2   \n",
      "24035                 0                   3                3   \n",
      "24062                 6                   1                1   \n",
      "24116                11                   2                2   \n",
      "24145                17                   6                6   \n",
      "24160                 6                   4                1   \n",
      "24206                 3                   1                1   \n",
      "24239                 7                   3                3   \n",
      "24259                20                   2                1   \n",
      "24302                 7                   2                2   \n",
      "24334                 0                   4                3   \n",
      "24388                21                   0                0   \n",
      "24419                14                   4                4   \n",
      "24453                14                   3                2   \n",
      "24483                10                   2                0   \n",
      "24514                 7                   3                2   \n",
      "24544                 8                   5                5   \n",
      "24572                13                   2                2   \n",
      "24627                 7                   3                1   \n",
      "24654                 3                   2                2   \n",
      "24682                16                   2                1   \n",
      "24710                 0                   6                6   \n",
      "24741                 7                   2                2   \n",
      "24773                 9                   2                2   \n",
      "24789                14                   3                3   \n",
      "24821                16                   1                1   \n",
      "24868                 6                   3                3   \n",
      "24890                17                   0                0   \n",
      "24896                 6                   2                2   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "23865                  1               0  \n",
      "23883                  3               1  \n",
      "23916                  1               1  \n",
      "23947                  1               1  \n",
      "23979                  2               2  \n",
      "24005                  2               1  \n",
      "24035                  0               0  \n",
      "24062                  1               0  \n",
      "24116                  1               1  \n",
      "24145                  5               4  \n",
      "24160                  2               1  \n",
      "24206                  5               4  \n",
      "24239                  3               3  \n",
      "24259                  0               0  \n",
      "24302                  1               0  \n",
      "24334                  2               1  \n",
      "24388                  3               2  \n",
      "24419                  1               1  \n",
      "24453                  1               1  \n",
      "24483                  4               3  \n",
      "24514                  3               2  \n",
      "24544                  1               1  \n",
      "24572                  2               2  \n",
      "24627                  1               0  \n",
      "24654                  2               2  \n",
      "24682                  3               3  \n",
      "24710                  1               1  \n",
      "24741                  2               1  \n",
      "24773                  4               4  \n",
      "24789                  0               0  \n",
      "24821                  1               1  \n",
      "24868                  0               0  \n",
      "24890                  6               5  \n",
      "24896                  0               0  \n",
      "\n",
      "[34 rows x 66 columns]\n",
      "             Game ID   Game_Type Team    Team City Team Name Home_Away  \\\n",
      "23332  42625_SFO_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "23352  42631_LAR_SEA     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "23384  42638_TAM_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "23416  42645_ARI_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "23444  42652_LAR_BUF     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "23474  42659_DET_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "23500  42666_LAR_NYG     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "23556  42680_LAR_CAR     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "23582  42687_NYJ_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "23612  42694_LAR_MIA     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "23644  42701_NOR_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "23673  42708_NWE_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "23704  42715_LAR_ATL     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "23720  42719_SEA_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "23765  42728_LAR_SFO     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "23800  42736_LAR_ARI     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "23854  42988_LAR_IND     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "23884  42995_LAR_WAS     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "23900  42999_SFO_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "23948  43009_DAL_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "23980  43016_LAR_SEA     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24006  43023_JAX_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24036  43030_LAR_ARI     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24089  43044_NYG_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24117  43051_LAR_HOU     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24146  43058_MIN_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24176  43065_LAR_NOR     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24207  43072_ARI_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24240  43079_LAR_PHI     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24270  43086_SEA_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24303  43093_TEN_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24335  43100_LAR_SFO     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24352  43106_LAR_ATL     Playoff  LAR  Los Angeles      Rams       NaN   \n",
      "24401  43353_OAK_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24420  43359_LAR_ARI     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24454  43366_LAR_LAC     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24468  43370_LAR_MIN     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24515  43380_SEA_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24545  43387_DEN_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24573  43394_SFO_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24600  43401_LAR_GNB     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24628  43408_NOR_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24655  43415_LAR_SEA     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24693  43423_LAR_KAN     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24742  43436_DET_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24774  43443_CHI_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24805  43450_LAR_PHI     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24838  43457_ARI_LAR     Regular  LAR  Los Angeles      Rams         @   \n",
      "24869  43464_LAR_SFO     Regular  LAR  Los Angeles      Rams       NaN   \n",
      "24895  43477_LAR_DAL     Playoff  LAR  Los Angeles      Rams       NaN   \n",
      "24901  43485_NOR_LAR     Playoff  LAR  Los Angeles      Rams         @   \n",
      "24904  43499_LAR_NWE  Super Bowl  LAR  Los Angeles      Rams       NaN   \n",
      "\n",
      "      Opponent  Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "23332      SFO  San Francisco         49ers  2016  ...                  0   \n",
      "23352      SEA        Seattle      Seahawks  2016  ...                  0   \n",
      "23384      TAM      Tampa Bay    Buccaneers  2016  ...                  0   \n",
      "23416      ARI        Arizona     Cardinals  2016  ...                  3   \n",
      "23444      BUF        Buffalo         Bills  2016  ...                  7   \n",
      "23474      DET        Detriot         Lions  2016  ...                  7   \n",
      "23500      NYG       New York        Giants  2016  ...                  0   \n",
      "23556      CAR       Carolina      Panthers  2016  ...                  0   \n",
      "23582      NYJ       New York          Jets  2016  ...                  0   \n",
      "23612      MIA          Miami      Dolphins  2016  ...                  0   \n",
      "23644      NOR    New Orleans        Saints  2016  ...                 14   \n",
      "23673      NWE    New England      Patriots  2016  ...                  6   \n",
      "23704      ATL        Atlanta       Falcons  2016  ...                 21   \n",
      "23720      SEA        Seattle      Seahawks  2016  ...                  7   \n",
      "23765      SFO  San Francisco         49ers  2016  ...                  0   \n",
      "23800      ARI        Arizona     Cardinals  2016  ...                 14   \n",
      "23854      IND   Indianapolis         Colts  2017  ...                  0   \n",
      "23884      WAS     Washington      Redskins  2017  ...                  0   \n",
      "23900      SFO  San Francisco         49ers  2017  ...                  7   \n",
      "23948      DAL         Dallas       Cowboys  2017  ...                  0   \n",
      "23980      SEA        Seattle      Seahawks  2017  ...                  3   \n",
      "24006      JAX   Jacksonville       Jaguars  2017  ...                  3   \n",
      "24036      ARI        Arizona     Cardinals  2017  ...                  0   \n",
      "24089      NYG       New York        Giants  2017  ...                  0   \n",
      "24117      HOU        Houston        Texans  2017  ...                  0   \n",
      "24146      MIN      Minnesota       Vikings  2017  ...                  0   \n",
      "24176      NOR    New Orleans        Saints  2017  ...                  0   \n",
      "24207      ARI        Arizona     Cardinals  2017  ...                  0   \n",
      "24240      PHI   Philadelphia        Eagles  2017  ...                  7   \n",
      "24270      SEA        Seattle      Seahawks  2017  ...                  7   \n",
      "24303      TEN      Tennessee        Titans  2017  ...                  7   \n",
      "24335      SFO  San Francisco         49ers  2017  ...                  7   \n",
      "24352      ATL        Atlanta       Falcons  2017  ...                  6   \n",
      "24401      OAK        Oakland       Raiders  2018  ...                  0   \n",
      "24420      ARI        Arizona     Cardinals  2018  ...                  0   \n",
      "24454      LAC    Los Angeles      Chargers  2018  ...                  7   \n",
      "24468      MIN      Minnesota       Vikings  2018  ...                  8   \n",
      "24515      SEA        Seattle      Seahawks  2018  ...                 14   \n",
      "24545      DEN         Denver       Broncos  2018  ...                  7   \n",
      "24573      SFO  San Francisco         49ers  2018  ...                  3   \n",
      "24600      GNB      Green Bay       Packers  2018  ...                 10   \n",
      "24628      NOR    New Orleans        Saints  2018  ...                  0   \n",
      "24655      SEA        Seattle      Seahawks  2018  ...                  7   \n",
      "24693      KAN    Kansas City        Chiefs  2018  ...                  7   \n",
      "24742      DET        Detriot         Lions  2018  ...                 10   \n",
      "24774      CHI        Chicago         Bears  2018  ...                  9   \n",
      "24805      PHI   Philadelphia        Eagles  2018  ...                 17   \n",
      "24838      ARI        Arizona     Cardinals  2018  ...                  0   \n",
      "24869      SFO  San Francisco         49ers  2018  ...                  7   \n",
      "24895      DAL         Dallas       Cowboys  2018  ...                  8   \n",
      "24901      NOR    New Orleans        Saints  2018  ...                  7   \n",
      "24904      NWE    New England      Patriots  2018  ...                  0   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "23332                 14          0         0                14   \n",
      "23352                  0          6         3                 3   \n",
      "23384                 12         17        20                20   \n",
      "23416                  0         10         7                10   \n",
      "23444                  7         13         6                16   \n",
      "23474                 10         14        14                14   \n",
      "23500                  7         10         0                10   \n",
      "23556                  6          0        10                 7   \n",
      "23582                  0          3         6                 6   \n",
      "23612                 14          7         3                 0   \n",
      "23644                  7         21         0                28   \n",
      "23673                  3          0        10                17   \n",
      "23704                  0          0        14                21   \n",
      "23720                  7          3         0                10   \n",
      "23765                 15         14         7                 7   \n",
      "23800                 14          6         0                16   \n",
      "23854                  6         27        19                 3   \n",
      "23884                  7         10        10                20   \n",
      "23900                 19         24        17                13   \n",
      "23948                  6         16        19                24   \n",
      "23980                  3         10         0                10   \n",
      "24006                  0         24         3                14   \n",
      "24036                  0         23        10                 0   \n",
      "24089                  7         27        24                10   \n",
      "24117                  0          9        24                 7   \n",
      "24146                 17          7         0                 7   \n",
      "24176                 10         17         9                10   \n",
      "24207                  3         19        13                13   \n",
      "24240                 12         14        21                24   \n",
      "24270                  0         34         8                 0   \n",
      "24303                  3         13        14                13   \n",
      "24335                  7          6         7                20   \n",
      "24352                  7         10         3                13   \n",
      "24401                  0         10        23                13   \n",
      "24420                  0         19        15                 0   \n",
      "24454                  3         21        14                13   \n",
      "24468                  3         28        10                20   \n",
      "24515                  0         17        16                17   \n",
      "24545                 10         13        10                 3   \n",
      "24573                  0         22        17                 7   \n",
      "24600                  7          8        21                10   \n",
      "24628                 10         17        18                35   \n",
      "24655                 10         17        19                14   \n",
      "24693                 21         23        31                23   \n",
      "24742                  3         13        17                 3   \n",
      "24774                  0          6         0                 6   \n",
      "24805                  0         13        10                13   \n",
      "24838                  0         21        10                 9   \n",
      "24869                 15         31        17                10   \n",
      "24895                  7         20        10                 7   \n",
      "24901                  3         10        13                13   \n",
      "24904                 10          0         3                 3   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "23332                14                   0                0   \n",
      "23352                 0                   0                0   \n",
      "23384                12                   4                4   \n",
      "23416                 3                   2                2   \n",
      "23444                14                   1                1   \n",
      "23474                17                   4                4   \n",
      "23500                 7                   1                1   \n",
      "23556                 6                   1                1   \n",
      "23582                 0                   0                0   \n",
      "23612                14                   1                1   \n",
      "23644                21                   3                3   \n",
      "23673                 9                   1                1   \n",
      "23704                21                   2                2   \n",
      "23720                14                   0                0   \n",
      "23765                15                   3                3   \n",
      "23800                28                   0                0   \n",
      "23854                 6                   5                5   \n",
      "23884                 7                   2                2   \n",
      "23900                26                   5                5   \n",
      "23948                 6                   2                2   \n",
      "23980                 6                   1                1   \n",
      "24006                 3                   3                3   \n",
      "24036                 0                   3                3   \n",
      "24089                 7                   6                6   \n",
      "24117                 0                   3                3   \n",
      "24146                17                   1                1   \n",
      "24176                10                   2                2   \n",
      "24207                 3                   3                2   \n",
      "24240                19                   5                5   \n",
      "24270                 7                   5                4   \n",
      "24303                10                   4                3   \n",
      "24335                14                   1                1   \n",
      "24352                13                   1                1   \n",
      "24401                 0                   3                3   \n",
      "24420                 0                   1                1   \n",
      "24454                10                   5                5   \n",
      "24468                11                   5                5   \n",
      "24515                14                   4                3   \n",
      "24545                17                   2                2   \n",
      "24573                 3                   4                4   \n",
      "24600                17                   1                1   \n",
      "24628                10                   3                3   \n",
      "24655                17                   3                3   \n",
      "24693                28                   7                6   \n",
      "24742                13                   3                3   \n",
      "24774                 9                   0                0   \n",
      "24805                17                   2                2   \n",
      "24838                 0                   4                4   \n",
      "24869                22                   6                6   \n",
      "24895                15                   3                3   \n",
      "24901                10                   2                2   \n",
      "24904                10                   0                0   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "23332                  0               0  \n",
      "23352                  3               3  \n",
      "23384                  1               1  \n",
      "23416                  1               1  \n",
      "23444                  4               4  \n",
      "23474                  0               0  \n",
      "23500                  1               1  \n",
      "23556                  3               1  \n",
      "23582                  3               3  \n",
      "23612                  2               1  \n",
      "23644                  0               0  \n",
      "23673                  1               1  \n",
      "23704                  0               0  \n",
      "23720                  1               1  \n",
      "23765                  0               0  \n",
      "23800                  2               2  \n",
      "23854                  3               3  \n",
      "23884                  2               2  \n",
      "23900                  2               2  \n",
      "23948                  7               7  \n",
      "23980                  2               1  \n",
      "24006                  2               2  \n",
      "24036                  4               4  \n",
      "24089                  3               3  \n",
      "24117                  4               4  \n",
      "24146                  0               0  \n",
      "24176                  5               4  \n",
      "24207                  4               4  \n",
      "24240                  0               0  \n",
      "24270                  2               2  \n",
      "24303                  1               0  \n",
      "24335                  2               2  \n",
      "24352                  2               2  \n",
      "24401                  5               4  \n",
      "24420                  1               1  \n",
      "24454                  1               0  \n",
      "24468                  2               1  \n",
      "24515                  2               2  \n",
      "24545                  4               3  \n",
      "24573                  3               3  \n",
      "24600                  2               2  \n",
      "24628                  3               2  \n",
      "24655                  3               3  \n",
      "24693                  2               2  \n",
      "24742                  3               3  \n",
      "24774                  3               2  \n",
      "24805                  3               3  \n",
      "24838                  2               1  \n",
      "24869                  2               2  \n",
      "24895                  4               3  \n",
      "24901                  4               4  \n",
      "24904                  2               1  \n",
      "\n",
      "[52 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "0      24352_MIA_OAK   Regular  MIA     Miami  Dolphins       NaN      OAK   \n",
      "6      24359_MIA_NYJ   Regular  MIA     Miami  Dolphins       NaN      NYJ   \n",
      "41     24368_BUF_MIA   Regular  MIA     Miami  Dolphins         @      BUF   \n",
      "85     24382_SDG_MIA   Regular  MIA     Miami  Dolphins         @      SDG   \n",
      "108    24389_OAK_MIA   Regular  MIA     Miami  Dolphins         @      OAK   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24743  43436_MIA_BUF   Regular  MIA     Miami  Dolphins       NaN      BUF   \n",
      "24775  43443_MIA_NWE   Regular  MIA     Miami  Dolphins       NaN      NWE   \n",
      "24806  43450_MIN_MIA   Regular  MIA     Miami  Dolphins         @      MIN   \n",
      "24839  43457_MIA_JAX   Regular  MIA     Miami  Dolphins       NaN      JAX   \n",
      "24870  43464_BUF_MIA   Regular  MIA     Miami  Dolphins         @      BUF   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "0           Oakland       Raiders  1966  ...                  7   \n",
      "6          New York          Jets  1966  ...                 10   \n",
      "41          Buffalo         Bills  1966  ...                  3   \n",
      "85        San Diego      Chargers  1966  ...                 10   \n",
      "108         Oakland       Raiders  1966  ...                  0   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24743       Buffalo         Bills  2018  ...                  3   \n",
      "24775   New England      Patriots  2018  ...                  0   \n",
      "24806     Minnesota       Vikings  2018  ...                  3   \n",
      "24839  Jacksonville       Jaguars  2018  ...                  0   \n",
      "24870       Buffalo         Bills  2018  ...                 14   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "0                      6          7         7                10   \n",
      "6                      0          0        14                 9   \n",
      "41                     7         10        14                48   \n",
      "85                    28         10         0                 6   \n",
      "108                    7         10         0                14   \n",
      "...                  ...        ...       ...               ...   \n",
      "24743                  8         14         7                 6   \n",
      "24775                  6         21        13                27   \n",
      "24806                 17         10         7                21   \n",
      "24839                 10          7         0                 7   \n",
      "24870                 14         14         3                14   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "0                    13                   2                2   \n",
      "6                    10                   2                2   \n",
      "41                   10                   3                3   \n",
      "85                   38                   1                1   \n",
      "108                   7                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "24743                11                   3                3   \n",
      "24775                 6                   4                4   \n",
      "24806                20                   2                2   \n",
      "24839                10                   1                1   \n",
      "24870                28                   2                2   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "0                      3               0  \n",
      "6                      0               0  \n",
      "41                     1               1  \n",
      "85                     2               1  \n",
      "108                    1               1  \n",
      "...                  ...             ...  \n",
      "24743                  0               0  \n",
      "24775                  0               0  \n",
      "24806                  1               1  \n",
      "24839                  1               0  \n",
      "24870                  1               1  \n",
      "\n",
      "[857 rows x 66 columns]\n",
      "             Game ID Game_Type Team  Team City Team Name Home_Away Opponent  \\\n",
      "20     24361_SFO_MIN   Regular  MIN  Minnesota   Vikings         @      SFO   \n",
      "42     24368_MIN_BAL   Regular  MIN  Minnesota   Vikings       NaN      BAL   \n",
      "61     24375_DAL_MIN   Regular  MIN  Minnesota   Vikings         @      DAL   \n",
      "86     24382_MIN_CHI   Regular  MIN  Minnesota   Vikings       NaN      CHI   \n",
      "127    24396_MIN_RAM   Regular  MIN  Minnesota   Vikings       NaN      RAM   \n",
      "...              ...       ...  ...        ...       ...       ...      ...   \n",
      "24744  43436_NWE_MIN   Regular  MIN  Minnesota   Vikings         @      NWE   \n",
      "24786  43444_SEA_MIN   Regular  MIN  Minnesota   Vikings         @      SEA   \n",
      "24807  43450_MIN_MIA   Regular  MIN  Minnesota   Vikings       NaN      MIA   \n",
      "24840  43457_DET_MIN   Regular  MIN  Minnesota   Vikings         @      DET   \n",
      "24871  43464_MIN_CHI   Regular  MIN  Minnesota   Vikings       NaN      CHI   \n",
      "\n",
      "       Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "20     San Francisco         49ers  1966  ...                  0   \n",
      "42         Baltimore         Colts  1966  ...                 14   \n",
      "61            Dallas       Cowboys  1966  ...                  7   \n",
      "86           Chicago         Bears  1966  ...                  0   \n",
      "127      Los Angeles          Rams  1966  ...                  0   \n",
      "...              ...           ...   ...  ...                ...   \n",
      "24744    New England      Patriots  2018  ...                  7   \n",
      "24786        Seattle      Seahawks  2018  ...                  0   \n",
      "24807          Miami      Dolphins  2018  ...                  7   \n",
      "24840        Detriot         Lions  2018  ...                  0   \n",
      "24871        Chicago         Bears  2018  ...                  0   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "20                     0          7        13                20   \n",
      "42                    14         16         7                10   \n",
      "61                    14         10         7                 7   \n",
      "86                    10          0        10                 3   \n",
      "127                    7         21        14                 0   \n",
      "...                  ...        ...       ...               ...   \n",
      "24744                  7          7         3                10   \n",
      "24786                 18          0         7                 3   \n",
      "24807                  0         21        20                10   \n",
      "24840                  0         14        13                 9   \n",
      "24871                 11          3         7                13   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "20                    0                   2                2   \n",
      "42                   28                   2                2   \n",
      "61                   21                   2                2   \n",
      "86                   10                   1                1   \n",
      "127                   7                   5                5   \n",
      "...                 ...                 ...              ...   \n",
      "24744                14                   1                1   \n",
      "24786                18                   1                1   \n",
      "24807                 7                   5                5   \n",
      "24840                 0                   3                3   \n",
      "24871                11                   1                1   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "20                     3               2  \n",
      "42                     3               3  \n",
      "61                     4               1  \n",
      "86                     3               1  \n",
      "127                    1               0  \n",
      "...                  ...             ...  \n",
      "24744                  2               1  \n",
      "24786                  1               0  \n",
      "24807                  2               2  \n",
      "24840                  2               2  \n",
      "24871                  1               1  \n",
      "\n",
      "[865 rows x 66 columns]\n",
      "             Game ID Game_Type Team    Team City Team Name Home_Away Opponent  \\\n",
      "365    24732_NOR_RAM   Regular  NOR  New Orleans    Saints       NaN      RAM   \n",
      "389    24739_NOR_WAS   Regular  NOR  New Orleans    Saints       NaN      WAS   \n",
      "411    24746_NOR_CLE   Regular  NOR  New Orleans    Saints       NaN      CLE   \n",
      "438    24753_NYG_NOR   Regular  NOR  New Orleans    Saints         @      NYG   \n",
      "459    24760_DAL_NOR   Regular  NOR  New Orleans    Saints         @      DAL   \n",
      "...              ...       ...  ...          ...       ...       ...      ...   \n",
      "24819  43451_CAR_NOR   Regular  NOR  New Orleans    Saints         @      CAR   \n",
      "24841  43457_NOR_PIT   Regular  NOR  New Orleans    Saints       NaN      PIT   \n",
      "24872  43464_NOR_CAR   Regular  NOR  New Orleans    Saints       NaN      CAR   \n",
      "24897  43478_NOR_PHI   Playoff  NOR  New Orleans    Saints       NaN      PHI   \n",
      "24902  43485_NOR_LAR   Playoff  NOR  New Orleans    Saints       NaN      LAR   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "365     Los Angeles          Rams  1967  ...                  7   \n",
      "389      Washington      Redskins  1967  ...                  0   \n",
      "411       Cleveland        Browns  1967  ...                 14   \n",
      "438        New York        Giants  1967  ...                  6   \n",
      "459          Dallas       Cowboys  1967  ...                  0   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24819      Carolina      Panthers  2018  ...                  0   \n",
      "24841    Pittsburgh      Steelers  2018  ...                 14   \n",
      "24872      Carolina      Panthers  2018  ...                  7   \n",
      "24897  Philadelphia        Eagles  2018  ...                  0   \n",
      "24902   Los Angeles          Rams  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "365                    7         10         3                13   \n",
      "389                   10         10         0                20   \n",
      "411                   14          7         0                14   \n",
      "438                    7         14         7                14   \n",
      "459                    0          7         3                14   \n",
      "...                  ...        ...       ...               ...   \n",
      "24819                  2          6         6                 7   \n",
      "24841                  0         17        14                14   \n",
      "24872                  3          0        14                23   \n",
      "24897                  0         10        10                14   \n",
      "24902                  6         13        10                10   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "365                  14                   1                1   \n",
      "389                  10                   1                1   \n",
      "411                  28                   1                1   \n",
      "438                  13                   3                3   \n",
      "459                   0                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "24819                 2                   0                0   \n",
      "24841                14                   4                4   \n",
      "24872                10                   2                2   \n",
      "24897                 0                   2                2   \n",
      "24902                13                   2                2   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "365                    2               2  \n",
      "389                    4               1  \n",
      "411                    3               0  \n",
      "438                    0               0  \n",
      "459                    3               1  \n",
      "...                  ...             ...  \n",
      "24819                  2               2  \n",
      "24841                  2               1  \n",
      "24872                  0               0  \n",
      "24897                  3               2  \n",
      "24902                  3               3  \n",
      "\n",
      "[822 rows x 66 columns]\n",
      "             Game ID   Game_Type Team    Team City Team Name Home_Away  \\\n",
      "1847   26195_NWE_OAK     Regular  NWE  New England  Patriots       NaN   \n",
      "1875   26202_NWE_DET     Regular  NWE  New England  Patriots       NaN   \n",
      "1900   26209_NWE_BAL     Regular  NWE  New England  Patriots       NaN   \n",
      "1926   26216_NWE_NYJ     Regular  NWE  New England  Patriots       NaN   \n",
      "1952   26223_MIA_NWE     Regular  NWE  New England  Patriots         @   \n",
      "...              ...         ...  ...          ...       ...       ...   \n",
      "24842  43457_NWE_BUF     Regular  NWE  New England  Patriots       NaN   \n",
      "24873  43464_NWE_NYJ     Regular  NWE  New England  Patriots       NaN   \n",
      "24898  43478_NWE_LAC     Playoff  NWE  New England  Patriots       NaN   \n",
      "24903  43485_KAN_NWE     Playoff  NWE  New England  Patriots         @   \n",
      "24905  43499_LAR_NWE  Super Bowl  NWE  New England  Patriots         @   \n",
      "\n",
      "      Opponent Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "1847       OAK       Oakland       Raiders  1971  ...                  0   \n",
      "1875       DET       Detriot         Lions  1971  ...                  3   \n",
      "1900       BAL     Baltimore         Colts  1971  ...                  0   \n",
      "1926       NYJ      New York          Jets  1971  ...                  0   \n",
      "1952       MIA         Miami      Dolphins  1971  ...                  7   \n",
      "...        ...           ...           ...   ...  ...                ...   \n",
      "24842      BUF       Buffalo         Bills  2018  ...                  6   \n",
      "24873      NYJ      New York          Jets  2018  ...                  0   \n",
      "24898      LAC   Los Angeles      Chargers  2018  ...                  7   \n",
      "24903      KAN   Kansas City        Chiefs  2018  ...                  7   \n",
      "24905      LAR   Los Angeles          Rams  2018  ...                  3   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "1847                   0          0        20                 6   \n",
      "1875                  14          0         7                17   \n",
      "1900                   6          3         0                17   \n",
      "1926                   0          0        20                 0   \n",
      "1952                   3          3         0                31   \n",
      "...                  ...        ...       ...               ...   \n",
      "24842                  6         14        10                 0   \n",
      "24873                  0         21        17                 3   \n",
      "24898                 14         35         6                 7   \n",
      "24903                 24         14        17                 0   \n",
      "24905                  0          3        10                 0   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "1847                  0                   2                2   \n",
      "1875                 17                   1                1   \n",
      "1900                  6                   0                0   \n",
      "1926                  0                   2                2   \n",
      "1952                 10                   0                0   \n",
      "...                 ...                 ...              ...   \n",
      "24842                12                   3                3   \n",
      "24873                 0                   5                5   \n",
      "24898                21                   5                5   \n",
      "24903                31                   4                4   \n",
      "24905                 3                   1                1   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "1847                   2               2  \n",
      "1875                   0               0  \n",
      "1900                   3               1  \n",
      "1926                   2               0  \n",
      "1952                   1               1  \n",
      "...                  ...             ...  \n",
      "24842                  1               1  \n",
      "24873                  1               1  \n",
      "24898                  2               2  \n",
      "24903                  1               1  \n",
      "24905                  3               2  \n",
      "\n",
      "[801 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "21     24361_PIT_NYG   Regular  NYG  New York    Giants         @      PIT   \n",
      "43     24368_DAL_NYG   Regular  NYG  New York    Giants         @      DAL   \n",
      "62     24375_PHI_NYG   Regular  NYG  New York    Giants         @      PHI   \n",
      "87     24382_NYG_CLE   Regular  NYG  New York    Giants       NaN      CLE   \n",
      "109    24389_STL_NYG   Regular  NYG  New York    Giants         @      STL   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24746  43436_NYG_CHI   Regular  NYG  New York    Giants       NaN      CHI   \n",
      "24778  43443_WAS_NYG   Regular  NYG  New York    Giants         @      WAS   \n",
      "24809  43450_NYG_TEN   Regular  NYG  New York    Giants       NaN      TEN   \n",
      "24843  43457_IND_NYG   Regular  NYG  New York    Giants         @      IND   \n",
      "24874  43464_NYG_DAL   Regular  NYG  New York    Giants       NaN      DAL   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "21       Pittsburgh      Steelers  1966  ...                 17   \n",
      "43           Dallas       Cowboys  1966  ...                 14   \n",
      "62     Philadelphia        Eagles  1966  ...                  7   \n",
      "87        Cleveland        Browns  1966  ...                  0   \n",
      "109       St. Louis     Cardinals  1966  ...                  7   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24746       Chicago         Bears  2018  ...                  0   \n",
      "24778    Washington      Redskins  2018  ...                  0   \n",
      "24809     Tennessee        Titans  2018  ...                  7   \n",
      "24843  Indianapolis         Colts  2018  ...                 14   \n",
      "24874        Dallas       Cowboys  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "21                     3         17        17                14   \n",
      "43                     7          7         0                31   \n",
      "62                     7          3        14                21   \n",
      "87                    14          7         0                14   \n",
      "109                   17         13         6                 0   \n",
      "...                  ...        ...       ...               ...   \n",
      "24746                 13         10        17                14   \n",
      "24778                 16         34         6                 0   \n",
      "24809                  3          0         0                 7   \n",
      "24843                  7         17        10                 7   \n",
      "24874                 15          7        28                14   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "21                   20                   4                4   \n",
      "43                   21                   1                1   \n",
      "62                   14                   2                2   \n",
      "87                   14                   1                1   \n",
      "109                  24                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "24746                13                   3                3   \n",
      "24778                16                   5                4   \n",
      "24809                10                   0                0   \n",
      "24843                21                   3                3   \n",
      "24874                22                   3                3   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "21                     2               2  \n",
      "43                     1               0  \n",
      "62                     2               1  \n",
      "87                     0               0  \n",
      "109                    5               4  \n",
      "...                  ...             ...  \n",
      "24746                  3               3  \n",
      "24778                  2               2  \n",
      "24809                  0               0  \n",
      "24843                  2               2  \n",
      "24874                  2               2  \n",
      "\n",
      "[848 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "7      24359_MIA_NYJ   Regular  NYJ  New York      Jets         @      MIA   \n",
      "44     24368_NYJ_HOU   Regular  NYJ  New York      Jets       NaN      HOU   \n",
      "63     24375_DEN_NYJ   Regular  NYJ  New York      Jets         @      DEN   \n",
      "88     24382_BOS_NYJ   Regular  NYJ  New York      Jets         @      BOS   \n",
      "99     24388_NYJ_SDG   Regular  NYJ  New York      Jets       NaN      SDG   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24747  43436_TEN_NYJ   Regular  NYJ  New York      Jets         @      TEN   \n",
      "24779  43443_BUF_NYJ   Regular  NYJ  New York      Jets         @      BUF   \n",
      "24793  43449_NYJ_HOU   Regular  NYJ  New York      Jets       NaN      HOU   \n",
      "24844  43457_NYJ_GNB   Regular  NYJ  New York      Jets       NaN      GNB   \n",
      "24875  43464_NWE_NYJ   Regular  NYJ  New York      Jets         @      NWE   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "7             Miami      Dolphins  1966  ...                  0   \n",
      "44          Houston        Oilers  1966  ...                  7   \n",
      "63           Denver       Broncos  1966  ...                  0   \n",
      "88           Boston      Patriots  1966  ...                 14   \n",
      "99        San Diego      Chargers  1966  ...                  0   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24747     Tennessee        Titans  2018  ...                  7   \n",
      "24779       Buffalo         Bills  2018  ...                  3   \n",
      "24793       Houston        Texans  2018  ...                  0   \n",
      "24844     Green Bay       Packers  2018  ...                  3   \n",
      "24875   New England      Patriots  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "7                     14          9        10                 0   \n",
      "44                     0         21        31                 6   \n",
      "63                     0          0        16                 7   \n",
      "88                     0          7        17                10   \n",
      "99                     7         10         7                 9   \n",
      "...                  ...        ...       ...               ...   \n",
      "24747                 13         16         6                 6   \n",
      "24779                  3         13        14                17   \n",
      "24793                 13          9        13                16   \n",
      "24844                 18         21        17                17   \n",
      "24875                 10          3         0                21   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "7                    14                   2                2   \n",
      "44                    7                   7                7   \n",
      "63                    0                   1                1   \n",
      "88                   14                   3                3   \n",
      "99                    7                   2                2   \n",
      "...                 ...                 ...              ...   \n",
      "24747                20                   1                1   \n",
      "24779                 6                   3                3   \n",
      "24793                13                   3                1   \n",
      "24844                21                   5                5   \n",
      "24875                17                   0                0   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "7                      3               1  \n",
      "44                     1               1  \n",
      "63                     6               3  \n",
      "88                     4               1  \n",
      "99                     1               1  \n",
      "...                  ...             ...  \n",
      "24747                  5               5  \n",
      "24779                  2               2  \n",
      "24793                  1               1  \n",
      "24844                  2               1  \n",
      "24875                  1               1  \n",
      "\n",
      "[841 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "1      24352_MIA_OAK   Regular  OAK   Oakland   Raiders         @      MIA   \n",
      "12     24360_HOU_OAK   Regular  OAK   Oakland   Raiders         @      HOU   \n",
      "45     24368_OAK_KAN   Regular  OAK   Oakland   Raiders       NaN      KAN   \n",
      "64     24375_OAK_SDG   Regular  OAK   Oakland   Raiders       NaN      SDG   \n",
      "110    24389_OAK_MIA   Regular  OAK   Oakland   Raiders       NaN      MIA   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24748  43436_OAK_KAN   Regular  OAK   Oakland   Raiders       NaN      KAN   \n",
      "24780  43443_OAK_PIT   Regular  OAK   Oakland   Raiders       NaN      PIT   \n",
      "24810  43450_CIN_OAK   Regular  OAK   Oakland   Raiders         @      CIN   \n",
      "24851  43458_OAK_DEN   Regular  OAK   Oakland   Raiders       NaN      DEN   \n",
      "24876  43464_KAN_OAK   Regular  OAK   Oakland   Raiders         @      KAN   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "1             Miami      Dolphins  1966  ...                  0   \n",
      "12          Houston        Oilers  1966  ...                  3   \n",
      "45      Kansas City        Chiefs  1966  ...                  7   \n",
      "64        San Diego      Chargers  1966  ...                 10   \n",
      "110           Miami      Dolphins  1966  ...                  0   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24748   Kansas City        Chiefs  2018  ...                 14   \n",
      "24780    Pittsburgh      Steelers  2018  ...                  0   \n",
      "24810    Cincinatti       Bengals  2018  ...                  0   \n",
      "24851        Denver       Broncos  2018  ...                  7   \n",
      "24876   Kansas City        Chiefs  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "1                      7         10        13                 7   \n",
      "12                    14          0         0                14   \n",
      "45                    15         10         0                10   \n",
      "64                     7          3        17                12   \n",
      "110                    0         14         7                10   \n",
      "...                  ...        ...       ...               ...   \n",
      "24748                  7          7        26                19   \n",
      "24780                  7         10        14                14   \n",
      "24810                 10          7         9                20   \n",
      "24851                  7         17        10                 0   \n",
      "24876                  7          3         0                21   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "1                     7                   3                2   \n",
      "12                   17                   0                0   \n",
      "45                   22                   1                1   \n",
      "64                   17                   2                2   \n",
      "110                   0                   3                3   \n",
      "...                 ...                 ...              ...   \n",
      "24748                21                   3                3   \n",
      "24780                 7                   3                3   \n",
      "24810                10                   1                1   \n",
      "24851                14                   3                3   \n",
      "24876                14                   0                0   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "1                      2               1  \n",
      "12                     2               0  \n",
      "45                     4               1  \n",
      "64                     2               2  \n",
      "110                    1               0  \n",
      "...                  ...             ...  \n",
      "24748                  2               2  \n",
      "24780                  1               1  \n",
      "24810                  3               3  \n",
      "24851                  2               2  \n",
      "24876                  1               1  \n",
      "\n",
      "[648 rows x 66 columns]\n",
      "             Game ID Game_Type Team     Team City Team Name Home_Away  \\\n",
      "22     24361_STL_PHI   Regular  PHI  Philadelphia    Eagles         @   \n",
      "46     24368_PHI_ATL   Regular  PHI  Philadelphia    Eagles       NaN   \n",
      "65     24375_PHI_NYG   Regular  PHI  Philadelphia    Eagles       NaN   \n",
      "89     24382_PHI_STL   Regular  PHI  Philadelphia    Eagles       NaN   \n",
      "111    24389_DAL_PHI   Regular  PHI  Philadelphia    Eagles         @   \n",
      "...              ...       ...  ...           ...       ...       ...   \n",
      "24811  43450_LAR_PHI   Regular  PHI  Philadelphia    Eagles         @   \n",
      "24845  43457_PHI_HOU   Regular  PHI  Philadelphia    Eagles       NaN   \n",
      "24877  43464_WAS_PHI   Regular  PHI  Philadelphia    Eagles         @   \n",
      "24891  43471_CHI_PHI   Playoff  PHI  Philadelphia    Eagles         @   \n",
      "24899  43478_NOR_PHI   Playoff  PHI  Philadelphia    Eagles         @   \n",
      "\n",
      "      Opponent Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "22         STL     St. Louis     Cardinals  1966  ...                  3   \n",
      "46         ATL       Atlanta       Falcons  1966  ...                  7   \n",
      "65         NYG      New York        Giants  1966  ...                  7   \n",
      "89         STL     St. Louis     Cardinals  1966  ...                 10   \n",
      "111        DAL        Dallas       Cowboys  1966  ...                 14   \n",
      "...        ...           ...           ...   ...  ...                ...   \n",
      "24811      LAR   Los Angeles          Rams  2018  ...                  0   \n",
      "24845      HOU       Houston        Texans  2018  ...                  0   \n",
      "24877      WAS    Washington      Redskins  2018  ...                  0   \n",
      "24891      CHI       Chicago         Bears  2018  ...                  0   \n",
      "24899      NOR   New Orleans        Saints  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "22                    10         10         3                 3   \n",
      "46                     0         10        13                 3   \n",
      "65                     7         21        14                 3   \n",
      "89                    14         10         0                17   \n",
      "111                   14          0         7                28   \n",
      "...                  ...        ...       ...               ...   \n",
      "24811                 10         13        17                13   \n",
      "24845                 14         13        19                16   \n",
      "24877                  0         10        14                 0   \n",
      "24891                  9          3        13                 6   \n",
      "24899                  3         14         0                10   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "22                   13                   1                1   \n",
      "46                    7                   2                2   \n",
      "65                   14                   5                5   \n",
      "89                   24                   1                1   \n",
      "111                  28                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "24811                10                   3                3   \n",
      "24845                14                   3                2   \n",
      "24877                 0                   3                3   \n",
      "24891                 9                   1                1   \n",
      "24899                10                   2                2   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "22                     3               2  \n",
      "46                     3               3  \n",
      "65                     0               0  \n",
      "89                     3               1  \n",
      "111                    0               0  \n",
      "...                  ...             ...  \n",
      "24811                  4               3  \n",
      "24845                  2               2  \n",
      "24877                  1               1  \n",
      "24891                  1               1  \n",
      "24899                  0               0  \n",
      "\n",
      "[856 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City  Team Name Home_Away Opponent  \\\n",
      "9002   32390_CIN_PHO   Regular  PHO   Pheonix  Cardinals         @      CIN   \n",
      "9039   32398_PHO_DAL   Regular  PHO   Pheonix  Cardinals       NaN      DAL   \n",
      "9057   32404_TAM_PHO   Regular  PHO   Pheonix  Cardinals         @      TAM   \n",
      "9086   32411_PHO_WAS   Regular  PHO   Pheonix  Cardinals       NaN      WAS   \n",
      "9113   32418_RAM_PHO   Regular  PHO   Pheonix  Cardinals         @      RAM   \n",
      "...              ...       ...  ...       ...        ...       ...      ...   \n",
      "11651  34308_PHO_RAM   Regular  PHO   Pheonix  Cardinals       NaN      RAM   \n",
      "11682  34315_PHO_DET   Regular  PHO   Pheonix  Cardinals       NaN      DET   \n",
      "11707  34322_SEA_PHO   Regular  PHO   Pheonix  Cardinals         @      SEA   \n",
      "11737  34329_PHO_NYG   Regular  PHO   Pheonix  Cardinals       NaN      NYG   \n",
      "11765  34336_ATL_PHO   Regular  PHO   Pheonix  Cardinals         @      ATL   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "9002     Cincinatti       Bengals  1988  ...                  7   \n",
      "9039         Dallas       Cowboys  1988  ...                  0   \n",
      "9057      Tampa Bay    Buccaneers  1988  ...                  7   \n",
      "9086     Washington      Redskins  1988  ...                  0   \n",
      "9113    Los Angeles          Rams  1988  ...                  6   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "11651   Los Angeles          Rams  1993  ...                  0   \n",
      "11682       Detriot         Lions  1993  ...                  7   \n",
      "11707       Seattle      Seahawks  1993  ...                  0   \n",
      "11737      New York        Giants  1993  ...                  0   \n",
      "11765       Atlanta       Falcons  1993  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "9002                   7          7         7                 7   \n",
      "9039                   7          7         7                10   \n",
      "9057                  14         20        10                 3   \n",
      "9086                   7          9        21                14   \n",
      "9113                   7         24        17                14   \n",
      "...                  ...        ...       ...               ...   \n",
      "11651                  7         14        24                 3   \n",
      "11682                  7          7         7                 7   \n",
      "11707                  7          7        20                20   \n",
      "11737                  0          0        17                 6   \n",
      "11765                  0         17        10                 3   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "9002                 14                   2                2   \n",
      "9039                  7                   2                2   \n",
      "9057                 21                   3                3   \n",
      "9086                  7                   4                4   \n",
      "9113                 13                   5                5   \n",
      "...                 ...                 ...              ...   \n",
      "11651                 7                   5                5   \n",
      "11682                14                   2                2   \n",
      "11707                 7                   3                3   \n",
      "11737                 0                   2                2   \n",
      "11765                 7                   3                3   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "9002                   1               0  \n",
      "9039                   1               0  \n",
      "9057                   4               3  \n",
      "9086                   0               0  \n",
      "9113                   2               2  \n",
      "...                  ...             ...  \n",
      "11651                  1               1  \n",
      "11682                  1               0  \n",
      "11707                  4               3  \n",
      "11737                  2               1  \n",
      "11765                  2               2  \n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[96 rows x 66 columns]\n",
      "             Game ID Game_Type Team   Team City Team Name Home_Away Opponent  \\\n",
      "23     24361_PIT_NYG   Regular  PIT  Pittsburgh  Steelers       NaN      NYG   \n",
      "47     24368_PIT_DET   Regular  PIT  Pittsburgh  Steelers       NaN      DET   \n",
      "66     24375_PIT_WAS   Regular  PIT  Pittsburgh  Steelers       NaN      WAS   \n",
      "90     24382_WAS_PIT   Regular  PIT  Pittsburgh  Steelers         @      WAS   \n",
      "100    24388_CLE_PIT   Regular  PIT  Pittsburgh  Steelers         @      CLE   \n",
      "...              ...       ...  ...         ...       ...       ...      ...   \n",
      "24749  43436_PIT_LAC   Regular  PIT  Pittsburgh  Steelers       NaN      LAC   \n",
      "24782  43443_OAK_PIT   Regular  PIT  Pittsburgh  Steelers         @      OAK   \n",
      "24812  43450_PIT_NWE   Regular  PIT  Pittsburgh  Steelers       NaN      NWE   \n",
      "24846  43457_NOR_PIT   Regular  PIT  Pittsburgh  Steelers         @      NOR   \n",
      "24878  43464_PIT_CIN   Regular  PIT  Pittsburgh  Steelers       NaN      CIN   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "23         New York        Giants  1966  ...                  0   \n",
      "47          Detriot         Lions  1966  ...                  0   \n",
      "66       Washington      Redskins  1966  ...                 21   \n",
      "90       Washington      Redskins  1966  ...                  7   \n",
      "100       Cleveland        Browns  1966  ...                  0   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24749   Los Angeles      Chargers  2018  ...                  8   \n",
      "24782       Oakland       Raiders  2018  ...                  0   \n",
      "24812   New England      Patriots  2018  ...                  3   \n",
      "24846   New Orleans        Saints  2018  ...                  7   \n",
      "24878    Cincinatti       Bengals  2018  ...                  0   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "23                    17         14        20                17   \n",
      "47                     3          3        14                 0   \n",
      "66                     3         14        13                 9   \n",
      "90                     7         10         0                10   \n",
      "100                   20          0        10                21   \n",
      "...                  ...        ...       ...               ...   \n",
      "24749                 18         23         7                 7   \n",
      "24782                 14         14         7                10   \n",
      "24812                  0         14         3                 7   \n",
      "24846                  7         14        14                17   \n",
      "24878                  3          3        13                10   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "23                   17                   4                4   \n",
      "47                    3                   2                2   \n",
      "66                   24                   3                3   \n",
      "90                   14                   1                1   \n",
      "100                  20                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "24749                26                   4                3   \n",
      "24782                14                   3                3   \n",
      "24812                 3                   2                2   \n",
      "24846                14                   2                2   \n",
      "24878                 3                   1                1   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "23                     4               2  \n",
      "47                     2               1  \n",
      "66                     3               2  \n",
      "90                     2               1  \n",
      "100                    1               1  \n",
      "...                  ...             ...  \n",
      "24749                  1               1  \n",
      "24782                  2               0  \n",
      "24812                  2               1  \n",
      "24846                  2               2  \n",
      "24878                  3               3  \n",
      "\n",
      "[876 rows x 66 columns]\n",
      "             Game ID Game_Type Team    Team City Team Name Home_Away Opponent  \\\n",
      "6418   30206_SFO_RAI   Regular  RAI  Los Angeles   Raiders         @      SFO   \n",
      "6446   30213_ATL_RAI   Regular  RAI  Los Angeles   Raiders         @      ATL   \n",
      "6482   30277_RAI_SDG   Regular  RAI  Los Angeles   Raiders       NaN      SDG   \n",
      "6503   30283_CIN_RAI   Regular  RAI  Los Angeles   Raiders         @      CIN   \n",
      "6532   30290_RAI_SEA   Regular  RAI  Los Angeles   Raiders       NaN      SEA   \n",
      "...              ...       ...  ...          ...       ...       ...      ...   \n",
      "12124  34665_RAI_PIT   Regular  RAI  Los Angeles   Raiders       NaN      PIT   \n",
      "12158  34673_SDG_RAI   Regular  RAI  Los Angeles   Raiders         @      SDG   \n",
      "12179  34679_RAI_DEN   Regular  RAI  Los Angeles   Raiders       NaN      DEN   \n",
      "12208  34686_SEA_RAI   Regular  RAI  Los Angeles   Raiders         @      SEA   \n",
      "12234  34692_RAI_KAN   Regular  RAI  Los Angeles   Raiders       NaN      KAN   \n",
      "\n",
      "       Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "6418   San Francisco         49ers  1982  ...                  3   \n",
      "6446         Atlanta       Falcons  1982  ...                  7   \n",
      "6482       San Diego      Chargers  1982  ...                  0   \n",
      "6503      Cincinatti       Bengals  1982  ...                  7   \n",
      "6532         Seattle      Seahawks  1982  ...                  0   \n",
      "...              ...           ...   ...  ...                ...   \n",
      "12124     Pittsburgh      Steelers  1994  ...                  0   \n",
      "12158      San Diego      Chargers  1994  ...                  0   \n",
      "12179         Denver       Broncos  1994  ...                  3   \n",
      "12208        Seattle      Seahawks  1994  ...                  3   \n",
      "12234    Kansas City        Chiefs  1994  ...                  3   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "6418                   0         13        10                14   \n",
      "6446                   0         24        14                 7   \n",
      "6482                   0          7        21                24   \n",
      "6503                   3         10         7                21   \n",
      "6532                  16         28         0                 7   \n",
      "...                  ...        ...       ...               ...   \n",
      "12124                 14          3         0                 7   \n",
      "12158                  3         14        10                14   \n",
      "12179                  7          6        17                 3   \n",
      "12208                  3         10         7                10   \n",
      "12234                  2          3         6                14   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "6418                  3                   2                2   \n",
      "6446                  7                   5                5   \n",
      "6482                  0                   4                4   \n",
      "6503                 10                   2                2   \n",
      "6532                 16                   4                4   \n",
      "...                 ...                 ...              ...   \n",
      "12124                14                   0                0   \n",
      "12158                 3                   3                3   \n",
      "12179                10                   0                0   \n",
      "12208                 6                   2                2   \n",
      "12234                 5                   0                0   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "6418                   3               3  \n",
      "6446                   2               1  \n",
      "6482                   1               0  \n",
      "6503                   1               1  \n",
      "6532                   1               0  \n",
      "...                  ...             ...  \n",
      "12124                  1               1  \n",
      "12158                  1               1  \n",
      "12179                  5               5  \n",
      "12208                  1               1  \n",
      "12234                  1               1  \n",
      "\n",
      "[212 rows x 66 columns]\n",
      "             Game ID Game_Type Team    Team City Team Name Home_Away Opponent  \\\n",
      "24     24361_ATL_RAM   Regular  RAM  Los Angeles      Rams         @      ATL   \n",
      "29     24366_RAM_CHI   Regular  RAM  Los Angeles      Rams       NaN      CHI   \n",
      "67     24375_GNB_RAM   Regular  RAM  Los Angeles      Rams         @      GNB   \n",
      "72     24380_RAM_SFO   Regular  RAM  Los Angeles      Rams       NaN      SFO   \n",
      "112    24389_DET_RAM   Regular  RAM  Los Angeles      Rams         @      DET   \n",
      "...              ...       ...  ...          ...       ...       ...      ...   \n",
      "12125  34665_SDG_RAM   Regular  RAM  Los Angeles      Rams         @      SDG   \n",
      "12153  34672_RAM_NOR   Regular  RAM  Los Angeles      Rams       NaN      NOR   \n",
      "12180  34679_TAM_RAM   Regular  RAM  Los Angeles      Rams         @      TAM   \n",
      "12209  34686_CHI_RAM   Regular  RAM  Los Angeles      Rams         @      CHI   \n",
      "12235  34692_RAM_WAS   Regular  RAM  Los Angeles      Rams       NaN      WAS   \n",
      "\n",
      "       Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "24           Atlanta       Falcons  1966  ...                  7   \n",
      "29           Chicago         Bears  1966  ...                  0   \n",
      "67         Green Bay       Packers  1966  ...                  0   \n",
      "72     San Francisco         49ers  1966  ...                  0   \n",
      "112          Detriot         Lions  1966  ...                  0   \n",
      "...              ...           ...   ...  ...                ...   \n",
      "12125      San Diego      Chargers  1994  ...                 15   \n",
      "12153    New Orleans        Saints  1994  ...                  3   \n",
      "12180      Tampa Bay    Buccaneers  1994  ...                  0   \n",
      "12209        Chicago         Bears  1994  ...                  3   \n",
      "12235     Washington      Redskins  1994  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "24                     0         16         3                 7   \n",
      "29                     0         14        17                17   \n",
      "67                     7          6         7                17   \n",
      "72                     0         20        14                 3   \n",
      "112                    7          7         7                 0   \n",
      "...                  ...        ...       ...               ...   \n",
      "12125                 10         14         3                 6   \n",
      "12153                  0          7         8                28   \n",
      "12180                  7          7         7                17   \n",
      "12209                  7         10         3                17   \n",
      "12235                  0         21         0                17   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "24                    7                   1                1   \n",
      "29                    0                   4                4   \n",
      "67                    7                   1                1   \n",
      "72                    0                   4                4   \n",
      "112                   7                   2                2   \n",
      "...                 ...                 ...              ...   \n",
      "12125                25                   2                2   \n",
      "12153                 3                   1                1   \n",
      "12180                 7                   2                2   \n",
      "12209                10                   1                1   \n",
      "12235                 7                   3                3   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "24                     6               4  \n",
      "29                     2               1  \n",
      "67                     4               2  \n",
      "72                     4               2  \n",
      "112                    3               0  \n",
      "...                  ...             ...  \n",
      "12125                  1               1  \n",
      "12153                  0               0  \n",
      "12180                  1               0  \n",
      "12209                  3               2  \n",
      "12235                  1               0  \n",
      "\n",
      "[458 rows x 66 columns]\n",
      "             Game ID Game_Type Team  Team City Team Name Home_Away Opponent  \\\n",
      "5      24354_SDG_BUF   Regular  SDG  San Diego  Chargers       NaN      BUF   \n",
      "13     24360_SDG_BOS   Regular  SDG  San Diego  Chargers       NaN      BOS   \n",
      "68     24375_OAK_SDG   Regular  SDG  San Diego  Chargers         @      OAK   \n",
      "91     24382_SDG_MIA   Regular  SDG  San Diego  Chargers       NaN      MIA   \n",
      "101    24388_NYJ_SDG   Regular  SDG  San Diego  Chargers         @      NYJ   \n",
      "...              ...       ...  ...        ...       ...       ...      ...   \n",
      "23681  42708_SDG_TAM   Regular  SDG  San Diego  Chargers       NaN      TAM   \n",
      "23712  42715_CAR_SDG   Regular  SDG  San Diego  Chargers         @      CAR   \n",
      "23746  42722_SDG_OAK   Regular  SDG  San Diego  Chargers       NaN      OAK   \n",
      "23772  42728_CLE_SDG   Regular  SDG  San Diego  Chargers         @      CLE   \n",
      "23810  42736_SDG_KAN   Regular  SDG  San Diego  Chargers       NaN      KAN   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "5           Buffalo         Bills  1966  ...                  0   \n",
      "13           Boston      Patriots  1966  ...                  0   \n",
      "68          Oakland       Raiders  1966  ...                  7   \n",
      "91            Miami      Dolphins  1966  ...                  0   \n",
      "101        New York          Jets  1966  ...                  0   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "23681     Tampa Bay    Buccaneers  2016  ...                 10   \n",
      "23712      Carolina      Panthers  2016  ...                  3   \n",
      "23746       Oakland       Raiders  2016  ...                  3   \n",
      "23772     Cleveland        Browns  2016  ...                  3   \n",
      "23810   Kansas City        Chiefs  2016  ...                 14   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "5                      7          7        20                 0   \n",
      "13                     0         17         7                 0   \n",
      "68                    10         12        17                 3   \n",
      "91                     0          6        38                10   \n",
      "101                    7          9         7                10   \n",
      "...                  ...        ...       ...               ...   \n",
      "23681                 11         14         7                 7   \n",
      "23712                  2          7         9                23   \n",
      "23746                  6         10         6                10   \n",
      "23772                  0         10         7                17   \n",
      "23810                  3         10        17                20   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "5                     7                   3                3   \n",
      "13                    0                   3                3   \n",
      "68                   17                   3                3   \n",
      "91                    0                   6                5   \n",
      "101                   7                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "23681                21                   3                3   \n",
      "23712                 5                   1                1   \n",
      "23746                 9                   2                1   \n",
      "23772                 3                   2                2   \n",
      "23810                17                   3                3   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "5                      2               2  \n",
      "13                     2               1  \n",
      "68                     2               2  \n",
      "91                     1               1  \n",
      "101                    7               3  \n",
      "...                  ...             ...  \n",
      "23681                  1               0  \n",
      "23712                  1               1  \n",
      "23746                  1               1  \n",
      "23772                  3               1  \n",
      "23810                  2               2  \n",
      "\n",
      "[807 rows x 66 columns]\n",
      "             Game ID Game_Type Team Team City Team Name Home_Away Opponent  \\\n",
      "3745   28015_SEA_STL   Regular  SEA   Seattle  Seahawks       NaN      STL   \n",
      "3773   28022_WAS_SEA   Regular  SEA   Seattle  Seahawks         @      WAS   \n",
      "3802   28029_SEA_SFO   Regular  SEA   Seattle  Seahawks       NaN      SFO   \n",
      "3829   28036_SEA_DAL   Regular  SEA   Seattle  Seahawks       NaN      DAL   \n",
      "3858   28043_GNB_SEA   Regular  SEA   Seattle  Seahawks         @      GNB   \n",
      "...              ...       ...  ...       ...       ...       ...      ...   \n",
      "24787  43444_SEA_MIN   Regular  SEA   Seattle  Seahawks       NaN      MIN   \n",
      "24813  43450_SFO_SEA   Regular  SEA   Seattle  Seahawks         @      SFO   \n",
      "24847  43457_SEA_KAN   Regular  SEA   Seattle  Seahawks       NaN      KAN   \n",
      "24879  43464_SEA_ARI   Regular  SEA   Seattle  Seahawks       NaN      ARI   \n",
      "24887  43470_DAL_SEA   Playoff  SEA   Seattle  Seahawks         @      DAL   \n",
      "\n",
      "       Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "3745       St. Louis     Cardinals  1976  ...                 10   \n",
      "3773      Washington      Redskins  1976  ...                  7   \n",
      "3802   San Francisco         49ers  1976  ...                  0   \n",
      "3829          Dallas       Cowboys  1976  ...                  7   \n",
      "3858       Green Bay       Packers  1976  ...                  7   \n",
      "...              ...           ...   ...  ...                ...   \n",
      "24787      Minnesota       Vikings  2018  ...                  0   \n",
      "24813  San Francisco         49ers  2018  ...                  3   \n",
      "24847    Kansas City        Chiefs  2018  ...                  7   \n",
      "24879        Arizona     Cardinals  2018  ...                  8   \n",
      "24887         Dallas       Cowboys  2018  ...                  0   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "3745                   7          3        21                13   \n",
      "3773                   7          0         7                17   \n",
      "3802                   6          7        14                31   \n",
      "3829                   7         13         0                14   \n",
      "3858                  13         13         7                 7   \n",
      "...                  ...        ...       ...               ...   \n",
      "24787                  7          3        18                 0   \n",
      "24813                  3         13        10                17   \n",
      "24847                 14         14        24                10   \n",
      "24879                  3         14        13                13   \n",
      "24887                 14          6        16                10   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "3745                 17                   3                3   \n",
      "3773                 14                   1                1   \n",
      "3802                  6                   3                3   \n",
      "3829                 14                   2                1   \n",
      "3858                 20                   2                2   \n",
      "...                 ...                 ...              ...   \n",
      "24787                 7                   1                1   \n",
      "24813                 6                   3                2   \n",
      "24847                21                   5                5   \n",
      "24879                11                   3                3   \n",
      "24887                14                   0                0   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "3745                   1               1  \n",
      "3773                   0               0  \n",
      "3802                   3               0  \n",
      "3829                   0               0  \n",
      "3858                   3               2  \n",
      "...                  ...             ...  \n",
      "24787                  2               2  \n",
      "24813                  1               1  \n",
      "24847                  2               1  \n",
      "24879                  2               2  \n",
      "24887                  3               2  \n",
      "\n",
      "[708 rows x 66 columns]\n",
      "             Game ID Game_Type Team      Team City Team Name Home_Away  \\\n",
      "25     24361_SFO_MIN   Regular  SFO  San Francisco     49ers       NaN   \n",
      "69     24375_BAL_SFO   Regular  SFO  San Francisco     49ers         @   \n",
      "73     24380_RAM_SFO   Regular  SFO  San Francisco     49ers         @   \n",
      "113    24389_SFO_GNB   Regular  SFO  San Francisco     49ers       NaN   \n",
      "135    24396_ATL_SFO   Regular  SFO  San Francisco     49ers         @   \n",
      "...              ...       ...  ...            ...       ...       ...   \n",
      "24751  43436_SEA_SFO   Regular  SFO  San Francisco     49ers         @   \n",
      "24783  43443_SFO_DEN   Regular  SFO  San Francisco     49ers       NaN   \n",
      "24814  43450_SFO_SEA   Regular  SFO  San Francisco     49ers       NaN   \n",
      "24848  43457_SFO_CHI   Regular  SFO  San Francisco     49ers       NaN   \n",
      "24880  43464_LAR_SFO   Regular  SFO  San Francisco     49ers         @   \n",
      "\n",
      "      Opponent Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "25         MIN     Minnesota       Vikings  1966  ...                 10   \n",
      "69         BAL     Baltimore         Colts  1966  ...                  6   \n",
      "73         RAM   Los Angeles          Rams  1966  ...                 14   \n",
      "113        GNB     Green Bay       Packers  1966  ...                 10   \n",
      "135        ATL       Atlanta       Falcons  1966  ...                  0   \n",
      "...        ...           ...           ...   ...  ...                ...   \n",
      "24751      SEA       Seattle      Seahawks  2018  ...                  7   \n",
      "24783      DEN        Denver       Broncos  2018  ...                  7   \n",
      "24814      SEA       Seattle      Seahawks  2018  ...                  0   \n",
      "24848      CHI       Chicago         Bears  2018  ...                  7   \n",
      "24880      LAR   Los Angeles          Rams  2018  ...                 14   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "25                     3         20         0                 7   \n",
      "69                    14          7         7                16   \n",
      "73                     0          3         0                20   \n",
      "113                    7          7        14                 3   \n",
      "135                    0         24        20                 7   \n",
      "...                  ...        ...       ...               ...   \n",
      "24751                 16          3        13                20   \n",
      "24783                  7         20         0                 0   \n",
      "24814                 10         17         6                13   \n",
      "24848                  0          9         0                 7   \n",
      "24880                  3         10        22                31   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "25                   13                   2                2   \n",
      "69                   20                   2                2   \n",
      "73                   14                   0                0   \n",
      "113                  17                   3                3   \n",
      "135                   0                   6                5   \n",
      "...                 ...                 ...              ...   \n",
      "24751                23                   1                1   \n",
      "24783                14                   2                2   \n",
      "24814                10                   2                2   \n",
      "24848                 7                   0                0   \n",
      "24880                17                   3                3   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "25                     3               2  \n",
      "69                     1               0  \n",
      "73                     3               1  \n",
      "113                    1               0  \n",
      "135                    2               1  \n",
      "...                  ...             ...  \n",
      "24751                  1               1  \n",
      "24783                  2               2  \n",
      "24814                  4               4  \n",
      "24848                  3               3  \n",
      "24880                  1               1  \n",
      "\n",
      "[865 rows x 66 columns]\n",
      "             Game ID Game_Type Team  Team City  Team Name Home_Away Opponent  \\\n",
      "26     24361_STL_PHI   Regular  STL  St. Louis  Cardinals       NaN      PHI   \n",
      "48     24368_STL_WAS   Regular  STL  St. Louis  Cardinals       NaN      WAS   \n",
      "70     24375_CLE_STL   Regular  STL  St. Louis  Cardinals         @      CLE   \n",
      "92     24382_PHI_STL   Regular  STL  St. Louis  Cardinals         @      PHI   \n",
      "114    24389_STL_NYG   Regular  STL  St. Louis  Cardinals       NaN      NYG   \n",
      "...              ...       ...  ...        ...        ...       ...      ...   \n",
      "23149  42344_STL_ARI   Regular  STL  St. Louis       Rams       NaN      ARI   \n",
      "23180  42351_STL_DET   Regular  STL  St. Louis       Rams       NaN      DET   \n",
      "23186  42355_STL_TAM   Regular  STL  St. Louis       Rams       NaN      TAM   \n",
      "23245  42365_SEA_STL   Regular  STL  St. Louis       Rams         @      SEA   \n",
      "23278  42372_SFO_STL   Regular  STL  St. Louis       Rams         @      SFO   \n",
      "\n",
      "       Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "26      Philadelphia        Eagles  1966  ...                  0   \n",
      "48        Washington      Redskins  1966  ...                  0   \n",
      "70         Cleveland        Browns  1966  ...                  7   \n",
      "92      Philadelphia        Eagles  1966  ...                  0   \n",
      "114         New York        Giants  1966  ...                  0   \n",
      "...              ...           ...   ...  ...                ...   \n",
      "23149        Arizona     Cardinals  2015  ...                 14   \n",
      "23180        Detriot         Lions  2015  ...                  7   \n",
      "23186      Tampa Bay    Buccaneers  2015  ...                  3   \n",
      "23245        Seattle      Seahawks  2015  ...                  7   \n",
      "23278  San Francisco         49ers  2015  ...                  3   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "26                     3          3        13                10   \n",
      "48                     0          3        20                 7   \n",
      "70                     0         14        20                21   \n",
      "92                     0         17        24                10   \n",
      "114                    6          0        24                13   \n",
      "...                  ...        ...       ...               ...   \n",
      "23149                  3          0         3                10   \n",
      "23180                  7          7        14                 0   \n",
      "23186                 17         21        10                 3   \n",
      "23245                  7         16         7                 3   \n",
      "23278                  3         16         0                10   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "26                    3                   1                1   \n",
      "48                    0                   2                2   \n",
      "70                    7                   5                4   \n",
      "92                    0                   5                5   \n",
      "114                   6                   3                3   \n",
      "...                 ...                 ...              ...   \n",
      "23149                17                   0                0   \n",
      "23180                14                   3                3   \n",
      "23186                20                   4                4   \n",
      "23245                14                   3                2   \n",
      "23278                 6                   1                1   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "26                     3               3  \n",
      "48                     5               3  \n",
      "70                     0               0  \n",
      "92                     2               2  \n",
      "114                    1               1  \n",
      "...                  ...             ...  \n",
      "23149                  1               1  \n",
      "23180                  0               0  \n",
      "23186                  1               1  \n",
      "23245                  1               1  \n",
      "23278                  5               3  \n",
      "\n",
      "[669 rows x 66 columns]\n",
      "             Game ID Game_Type Team  Team City   Team Name Home_Away Opponent  \\\n",
      "3748   28015_HOU_TAM   Regular  TAM  Tampa Bay  Buccaneers         @      HOU   \n",
      "3776   28022_TAM_SDG   Regular  TAM  Tampa Bay  Buccaneers       NaN      SDG   \n",
      "3805   28029_TAM_BUF   Regular  TAM  Tampa Bay  Buccaneers       NaN      BUF   \n",
      "3832   28036_BAL_TAM   Regular  TAM  Tampa Bay  Buccaneers         @      BAL   \n",
      "3860   28043_CIN_TAM   Regular  TAM  Tampa Bay  Buccaneers         @      CIN   \n",
      "...              ...       ...  ...        ...         ...       ...      ...   \n",
      "24752  43436_TAM_CAR   Regular  TAM  Tampa Bay  Buccaneers       NaN      CAR   \n",
      "24784  43443_TAM_NOR   Regular  TAM  Tampa Bay  Buccaneers       NaN      NOR   \n",
      "24815  43450_BAL_TAM   Regular  TAM  Tampa Bay  Buccaneers         @      BAL   \n",
      "24849  43457_DAL_TAM   Regular  TAM  Tampa Bay  Buccaneers         @      DAL   \n",
      "24881  43464_TAM_ATL   Regular  TAM  Tampa Bay  Buccaneers       NaN      ATL   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "3748        Houston        Oilers  1976  ...                  3   \n",
      "3776      San Diego      Chargers  1976  ...                  0   \n",
      "3805        Buffalo         Bills  1976  ...                  0   \n",
      "3832      Baltimore         Colts  1976  ...                  9   \n",
      "3860     Cincinatti       Bengals  1976  ...                  7   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24752      Carolina      Panthers  2018  ...                 10   \n",
      "24784   New Orleans        Saints  2018  ...                  8   \n",
      "24815     Baltimore        Ravens  2018  ...                  7   \n",
      "24849        Dallas       Cowboys  2018  ...                 10   \n",
      "24881       Atlanta       Falcons  2018  ...                 17   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "3748                  10          0         0                 7   \n",
      "3776                  17          0         0                 6   \n",
      "3805                   7          6         3                 7   \n",
      "3832                   9          3        14                24   \n",
      "3860                   0          0         0                14   \n",
      "...                  ...        ...       ...               ...   \n",
      "24752                  0         17         7                 7   \n",
      "24784                 17         14         0                 3   \n",
      "24815                  3          9         3                10   \n",
      "24849                  0         13         7                17   \n",
      "24881                 10         17        15                 7   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "3748                 13                   0                0   \n",
      "3776                 17                   0                0   \n",
      "3805                  7                   0                0   \n",
      "3832                 18                   2                2   \n",
      "3860                  7                   0                0   \n",
      "...                 ...                 ...              ...   \n",
      "24752                10                   3                3   \n",
      "24784                25                   2                2   \n",
      "24815                10                   0                0   \n",
      "24849                10                   2                2   \n",
      "24881                27                   2                2   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "3748                   1               0  \n",
      "3776                   2               0  \n",
      "3805                   4               3  \n",
      "3832                   1               1  \n",
      "3860                   0               0  \n",
      "...                  ...             ...  \n",
      "24752                  1               1  \n",
      "24784                  2               0  \n",
      "24815                  2               2  \n",
      "24849                  3               2  \n",
      "24881                  2               2  \n",
      "\n",
      "[691 rows x 66 columns]\n",
      "             Game ID Game_Type Team  Team City Team Name Home_Away Opponent  \\\n",
      "13296  35673_TEN_OAK   Regular  TEN  Tennessee    Oilers       NaN      OAK   \n",
      "13326  35680_MIA_TEN   Regular  TEN  Tennessee    Oilers         @      MIA   \n",
      "13379  35694_TEN_BAL   Regular  TEN  Tennessee    Oilers       NaN      BAL   \n",
      "13404  35701_PIT_TEN   Regular  TEN  Tennessee    Oilers         @      PIT   \n",
      "13430  35708_SEA_TEN   Regular  TEN  Tennessee    Oilers         @      SEA   \n",
      "...              ...       ...  ...        ...       ...       ...      ...   \n",
      "24753  43436_TEN_NYJ   Regular  TEN  Tennessee    Titans       NaN      NYJ   \n",
      "24757  43440_TEN_JAX   Regular  TEN  Tennessee    Titans       NaN      JAX   \n",
      "24816  43450_NYG_TEN   Regular  TEN  Tennessee    Titans         @      NYG   \n",
      "24822  43456_TEN_WAS   Regular  TEN  Tennessee    Titans       NaN      WAS   \n",
      "24882  43464_TEN_IND   Regular  TEN  Tennessee    Titans       NaN      IND   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "13296       Oakland       Raiders  1997  ...                  7   \n",
      "13326         Miami      Dolphins  1997  ...                  3   \n",
      "13379     Baltimore        Ravens  1997  ...                  3   \n",
      "13404    Pittsburgh      Steelers  1997  ...                  3   \n",
      "13430       Seattle      Seahawks  1997  ...                 10   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24753      New York          Jets  2018  ...                  6   \n",
      "24757  Jacksonville       Jaguars  2018  ...                  7   \n",
      "24816      New York        Giants  2018  ...                  0   \n",
      "24822    Washington      Redskins  2018  ...                  3   \n",
      "24882  Indianapolis         Colts  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "13296                 14         10        11                 0   \n",
      "13326                  7         10         3                 3   \n",
      "13379                 13         10         0                20   \n",
      "13404                  3          6        18                31   \n",
      "13430                  6         10         3                 0   \n",
      "...                  ...        ...       ...               ...   \n",
      "24753                  0          6        20                16   \n",
      "24757                  0         16        14                 2   \n",
      "24816                  0          7        10                 0   \n",
      "24822                  3          9        16                10   \n",
      "24882                  9         10         7                17   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "13296                21                   1                1   \n",
      "13326                10                   1                1   \n",
      "13379                16                   1                1   \n",
      "13404                 6                   1                1   \n",
      "13430                16                   1                1   \n",
      "...                 ...                 ...              ...   \n",
      "24753                 6                   3                2   \n",
      "24757                 7                   4                3   \n",
      "24816                 0                   2                2   \n",
      "24822                 6                   2                1   \n",
      "24882                16                   2                2   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "13296                  3               3  \n",
      "13326                  3               2  \n",
      "13379                  2               1  \n",
      "13404                  4               3  \n",
      "13430                  2               2  \n",
      "...                  ...             ...  \n",
      "24753                  2               2  \n",
      "24757                  1               1  \n",
      "24816                  2               1  \n",
      "24822                  2               2  \n",
      "24882                  1               1  \n",
      "\n",
      "[365 rows x 66 columns]\n",
      "             Game ID Game_Type Team   Team City Team Name Home_Away Opponent  \\\n",
      "27     24361_WAS_CLE   Regular  WAS  Washington  Redskins       NaN      CLE   \n",
      "49     24368_STL_WAS   Regular  WAS  Washington  Redskins         @      STL   \n",
      "71     24375_PIT_WAS   Regular  WAS  Washington  Redskins         @      PIT   \n",
      "93     24382_WAS_PIT   Regular  WAS  Washington  Redskins       NaN      PIT   \n",
      "115    24389_WAS_ATL   Regular  WAS  Washington  Redskins       NaN      ATL   \n",
      "...              ...       ...  ...         ...       ...       ...      ...   \n",
      "24755  43437_PHI_WAS   Regular  WAS  Washington  Redskins         @      PHI   \n",
      "24785  43443_WAS_NYG   Regular  WAS  Washington  Redskins       NaN      NYG   \n",
      "24817  43450_JAX_WAS   Regular  WAS  Washington  Redskins         @      JAX   \n",
      "24823  43456_TEN_WAS   Regular  WAS  Washington  Redskins         @      TEN   \n",
      "24883  43464_WAS_PHI   Regular  WAS  Washington  Redskins       NaN      PHI   \n",
      "\n",
      "      Opponent City Opponent Name  Year  ...  Q3OpponentScoring  \\\n",
      "27        Cleveland        Browns  1966  ...                 10   \n",
      "49        St. Louis     Cardinals  1966  ...                  3   \n",
      "71       Pittsburgh      Steelers  1966  ...                 10   \n",
      "93       Pittsburgh      Steelers  1966  ...                  0   \n",
      "115         Atlanta       Falcons  1966  ...                  3   \n",
      "...             ...           ...   ...  ...                ...   \n",
      "24755  Philadelphia        Eagles  2018  ...                  0   \n",
      "24785      New York        Giants  2018  ...                  6   \n",
      "24817  Jacksonville       Jaguars  2018  ...                  0   \n",
      "24823     Tennessee        Titans  2018  ...                  0   \n",
      "24883  Philadelphia        Eagles  2018  ...                  7   \n",
      "\n",
      "       Q4OpponentScoring  H1Scoring H2Scoring H1OpponentScoring  \\\n",
      "27                    21         14         0                 7   \n",
      "49                    17          7         0                 3   \n",
      "71                     3          9        24                14   \n",
      "93                     0         10        14                10   \n",
      "115                    0         20        13                17   \n",
      "...                  ...        ...       ...               ...   \n",
      "24755                 14         13         0                14   \n",
      "24785                  0          0        16                34   \n",
      "24817                  3          3        13                10   \n",
      "24823                 16         10         6                 9   \n",
      "24883                  7          0         0                10   \n",
      "\n",
      "      H2OpponentScoring  ExtraPointAttempts  ExtraPointsMade  \\\n",
      "27                   31                   2                2   \n",
      "49                   20                   1                1   \n",
      "71                   13                   3                3   \n",
      "93                    0                   3                3   \n",
      "115                   3                   4                3   \n",
      "...                 ...                 ...              ...   \n",
      "24755                14                   1                1   \n",
      "24785                 6                   0                0   \n",
      "24817                 3                   1                1   \n",
      "24823                16                   1                1   \n",
      "24883                14                   0                0   \n",
      "\n",
      "       FieldGoalAttempts  FieldGoalsMade  \n",
      "27                     0               0  \n",
      "49                     0               0  \n",
      "71                     4               4  \n",
      "93                     4               1  \n",
      "115                    2               2  \n",
      "...                  ...             ...  \n",
      "24755                  2               2  \n",
      "24785                  0               0  \n",
      "24817                  3               3  \n",
      "24823                  3               3  \n",
      "24883                  0               0  \n",
      "\n",
      "[851 rows x 66 columns]\n"
     ]
    }
   ],
   "source": [
    "grouped = df.groupby('Team')\n",
    "for name,group in grouped:\n",
    "    print(group)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "maxpassing is 507 for ARI\n",
      "maxpassing is 481 for ATL\n",
      "maxpassing is 426 for BAL\n",
      "maxpassing is 379 for BOS\n",
      "maxpassing is 437 for BUF\n",
      "maxpassing is 418 for CAR\n",
      "maxpassing is 407 for CHI\n",
      "maxpassing is 483 for CIN\n",
      "maxpassing is 483 for CLE\n",
      "maxpassing is 470 for DAL\n",
      "maxpassing is 499 for DEN\n",
      "maxpassing is 502 for DET\n",
      "maxpassing is 469 for GNB\n",
      "maxpassing is 505 for HOU\n",
      "maxpassing is 472 for IND\n",
      "maxpassing is 420 for JAX\n",
      "maxpassing is 474 for KAN\n",
      "maxpassing is 434 for LAC\n",
      "maxpassing is 456 for LAR\n",
      "maxpassing is 521 for MIA\n",
      "maxpassing is 530 for MIN\n",
      "maxpassing is 505 for NOR\n",
      "maxpassing is 516 for NWE\n",
      "maxpassing is 510 for NYG\n",
      "maxpassing is 490 for NYJ\n",
      "maxpassing is 498 for OAK\n",
      "maxpassing is 462 for PHI\n",
      "maxpassing is 405 for PHO\n",
      "maxpassing is 522 for PIT\n",
      "maxpassing is 402 for RAI\n",
      "maxpassing is 506 for RAM\n",
      "maxpassing is 494 for SDG\n",
      "maxpassing is 446 for SEA\n",
      "maxpassing is 475 for SFO\n",
      "maxpassing is 453 for STL\n",
      "maxpassing is 486 for TAM\n",
      "maxpassing is 466 for TEN\n",
      "maxpassing is 482 for WAS\n"
     ]
    }
   ],
   "source": [
    "rows = []\n",
    "maxpassdictionary = {}\n",
    "for name, group in grouped:\n",
    "  #headers = group.pop(0)\n",
    "  group = pd.DataFrame(group,columns=df.columns)\n",
    "  #print(type(group))\n",
    "  maxpassing = group['PassingYards'].max()\n",
    "  print(\"maxpassing is %d for %s\" % (maxpassing,name))\n",
    "  maxpassdictionary[name] = maxpassing\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "482"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "maxpassdictionary['WAS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#example code\n",
    "#tbl['total count in each bank'] = tbl.groupby('bank_ID')\\\n",
    "                                     ['group_total']\\\n",
    "                                     .transform(sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['maxpassingforteam'] = df.groupby('Team')['PassingYards'].transform(max)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Game ID</th>\n",
       "      <th>Game_Type</th>\n",
       "      <th>Team</th>\n",
       "      <th>Team City</th>\n",
       "      <th>Team Name</th>\n",
       "      <th>Home_Away</th>\n",
       "      <th>Opponent</th>\n",
       "      <th>Opponent City</th>\n",
       "      <th>Opponent Name</th>\n",
       "      <th>Year</th>\n",
       "      <th>...</th>\n",
       "      <th>Q4OpponentScoring</th>\n",
       "      <th>H1Scoring</th>\n",
       "      <th>H2Scoring</th>\n",
       "      <th>H1OpponentScoring</th>\n",
       "      <th>H2OpponentScoring</th>\n",
       "      <th>ExtraPointAttempts</th>\n",
       "      <th>ExtraPointsMade</th>\n",
       "      <th>FieldGoalAttempts</th>\n",
       "      <th>FieldGoalsMade</th>\n",
       "      <th>maxpassingforteam</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>24361_WAS_CLE</td>\n",
       "      <td>Regular</td>\n",
       "      <td>WAS</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Redskins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CLE</td>\n",
       "      <td>Cleveland</td>\n",
       "      <td>Browns</td>\n",
       "      <td>1966</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>24368_STL_WAS</td>\n",
       "      <td>Regular</td>\n",
       "      <td>WAS</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Redskins</td>\n",
       "      <td>@</td>\n",
       "      <td>STL</td>\n",
       "      <td>St. Louis</td>\n",
       "      <td>Cardinals</td>\n",
       "      <td>1966</td>\n",
       "      <td>...</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>24375_PIT_WAS</td>\n",
       "      <td>Regular</td>\n",
       "      <td>WAS</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Redskins</td>\n",
       "      <td>@</td>\n",
       "      <td>PIT</td>\n",
       "      <td>Pittsburgh</td>\n",
       "      <td>Steelers</td>\n",
       "      <td>1966</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>24382_WAS_PIT</td>\n",
       "      <td>Regular</td>\n",
       "      <td>WAS</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Redskins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PIT</td>\n",
       "      <td>Pittsburgh</td>\n",
       "      <td>Steelers</td>\n",
       "      <td>1966</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>24389_WAS_ATL</td>\n",
       "      <td>Regular</td>\n",
       "      <td>WAS</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Redskins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ATL</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>Falcons</td>\n",
       "      <td>1966</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24755</th>\n",
       "      <td>43437_PHI_WAS</td>\n",
       "      <td>Regular</td>\n",
       "      <td>WAS</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Redskins</td>\n",
       "      <td>@</td>\n",
       "      <td>PHI</td>\n",
       "      <td>Philadelphia</td>\n",
       "      <td>Eagles</td>\n",
       "      <td>2018</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24785</th>\n",
       "      <td>43443_WAS_NYG</td>\n",
       "      <td>Regular</td>\n",
       "      <td>WAS</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Redskins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYG</td>\n",
       "      <td>New York</td>\n",
       "      <td>Giants</td>\n",
       "      <td>2018</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>34</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24817</th>\n",
       "      <td>43450_JAX_WAS</td>\n",
       "      <td>Regular</td>\n",
       "      <td>WAS</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Redskins</td>\n",
       "      <td>@</td>\n",
       "      <td>JAX</td>\n",
       "      <td>Jacksonville</td>\n",
       "      <td>Jaguars</td>\n",
       "      <td>2018</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24823</th>\n",
       "      <td>43456_TEN_WAS</td>\n",
       "      <td>Regular</td>\n",
       "      <td>WAS</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Redskins</td>\n",
       "      <td>@</td>\n",
       "      <td>TEN</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>Titans</td>\n",
       "      <td>2018</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24883</th>\n",
       "      <td>43464_WAS_PHI</td>\n",
       "      <td>Regular</td>\n",
       "      <td>WAS</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Redskins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PHI</td>\n",
       "      <td>Philadelphia</td>\n",
       "      <td>Eagles</td>\n",
       "      <td>2018</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>851 rows × 67 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Game ID Game_Type Team   Team City Team Name Home_Away Opponent  \\\n",
       "27     24361_WAS_CLE   Regular  WAS  Washington  Redskins       NaN      CLE   \n",
       "49     24368_STL_WAS   Regular  WAS  Washington  Redskins         @      STL   \n",
       "71     24375_PIT_WAS   Regular  WAS  Washington  Redskins         @      PIT   \n",
       "93     24382_WAS_PIT   Regular  WAS  Washington  Redskins       NaN      PIT   \n",
       "115    24389_WAS_ATL   Regular  WAS  Washington  Redskins       NaN      ATL   \n",
       "...              ...       ...  ...         ...       ...       ...      ...   \n",
       "24755  43437_PHI_WAS   Regular  WAS  Washington  Redskins         @      PHI   \n",
       "24785  43443_WAS_NYG   Regular  WAS  Washington  Redskins       NaN      NYG   \n",
       "24817  43450_JAX_WAS   Regular  WAS  Washington  Redskins         @      JAX   \n",
       "24823  43456_TEN_WAS   Regular  WAS  Washington  Redskins         @      TEN   \n",
       "24883  43464_WAS_PHI   Regular  WAS  Washington  Redskins       NaN      PHI   \n",
       "\n",
       "      Opponent City Opponent Name  Year  ...  Q4OpponentScoring  H1Scoring  \\\n",
       "27        Cleveland        Browns  1966  ...                 21         14   \n",
       "49        St. Louis     Cardinals  1966  ...                 17          7   \n",
       "71       Pittsburgh      Steelers  1966  ...                  3          9   \n",
       "93       Pittsburgh      Steelers  1966  ...                  0         10   \n",
       "115         Atlanta       Falcons  1966  ...                  0         20   \n",
       "...             ...           ...   ...  ...                ...        ...   \n",
       "24755  Philadelphia        Eagles  2018  ...                 14         13   \n",
       "24785      New York        Giants  2018  ...                  0          0   \n",
       "24817  Jacksonville       Jaguars  2018  ...                  3          3   \n",
       "24823     Tennessee        Titans  2018  ...                 16         10   \n",
       "24883  Philadelphia        Eagles  2018  ...                  7          0   \n",
       "\n",
       "       H2Scoring H1OpponentScoring H2OpponentScoring ExtraPointAttempts  \\\n",
       "27             0                 7                31                  2   \n",
       "49             0                 3                20                  1   \n",
       "71            24                14                13                  3   \n",
       "93            14                10                 0                  3   \n",
       "115           13                17                 3                  4   \n",
       "...          ...               ...               ...                ...   \n",
       "24755          0                14                14                  1   \n",
       "24785         16                34                 6                  0   \n",
       "24817         13                10                 3                  1   \n",
       "24823          6                 9                16                  1   \n",
       "24883          0                10                14                  0   \n",
       "\n",
       "       ExtraPointsMade  FieldGoalAttempts  FieldGoalsMade  maxpassingforteam  \n",
       "27                   2                  0               0                482  \n",
       "49                   1                  0               0                482  \n",
       "71                   3                  4               4                482  \n",
       "93                   3                  4               1                482  \n",
       "115                  3                  2               2                482  \n",
       "...                ...                ...             ...                ...  \n",
       "24755                1                  2               2                482  \n",
       "24785                0                  0               0                482  \n",
       "24817                1                  3               3                482  \n",
       "24823                1                  3               3                482  \n",
       "24883                0                  0               0                482  \n",
       "\n",
       "[851 rows x 67 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Team'] == 'WAS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['DistToMax'] = df['maxpassingforteam'] -df['PassingYards']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "chartthis = df[df['Team'] == 'WAS'][['PassingYards','maxpassingforteam','DistToMax']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vjpbbu\\Anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\core.py:328: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Team\n",
       "ARI    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "ATL    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "BAL    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "BOS    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "BUF    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "CAR    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "CHI    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "CIN    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "CLE    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "DAL    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "DEN    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "DET    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "GNB    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "HOU    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "IND    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "JAX    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "KAN    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "LAC    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "LAR    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "MIA    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "MIN    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "NOR    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "NWE    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "NYG    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "NYJ    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "OAK    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "PHI    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "PHO    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "PIT    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "RAI    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "RAM    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "SDG    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "SEA    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "SFO    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "STL    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "TAM    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "TEN    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "WAS    AxesSubplot(0.125,0.125;0.775x0.755)\n",
       "dtype: object"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in callback <function flush_figures at 0x000001FC16F53790> (for post_execute):\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\ipykernel\\pylab\\backend_inline.py\u001b[0m in \u001b[0;36mflush_figures\u001b[1;34m()\u001b[0m\n\u001b[0;32m    119\u001b[0m         \u001b[1;31m# ignore the tracking, just draw and close all figures\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    120\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 121\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    122\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    123\u001b[0m             \u001b[1;31m# safely show traceback if in IPython, else raise\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\ipykernel\\pylab\\backend_inline.py\u001b[0m in \u001b[0;36mshow\u001b[1;34m(close, block)\u001b[0m\n\u001b[0;32m     39\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     40\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mfigure_manager\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mGcf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_all_fig_managers\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 41\u001b[1;33m             display(\n\u001b[0m\u001b[0;32m     42\u001b[0m                 \u001b[0mfigure_manager\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     43\u001b[0m                 \u001b[0mmetadata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0m_fetch_figure_metadata\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfigure_manager\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\display.py\u001b[0m in \u001b[0;36mdisplay\u001b[1;34m(include, exclude, metadata, transient, display_id, *objs, **kwargs)\u001b[0m\n\u001b[0;32m    311\u001b[0m             \u001b[0mpublish_display_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    312\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 313\u001b[1;33m             \u001b[0mformat_dict\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmd_dict\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minclude\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minclude\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexclude\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mexclude\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    314\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mformat_dict\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    315\u001b[0m                 \u001b[1;31m# nothing to display (e.g. _ipython_display_ took over)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\formatters.py\u001b[0m in \u001b[0;36mformat\u001b[1;34m(self, obj, include, exclude)\u001b[0m\n\u001b[0;32m    178\u001b[0m             \u001b[0mmd\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    179\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 180\u001b[1;33m                 \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mformatter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    181\u001b[0m             \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    182\u001b[0m                 \u001b[1;31m# FIXME: log the exception\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<decorator-gen-2>\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, obj)\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\formatters.py\u001b[0m in \u001b[0;36mcatch_format_error\u001b[1;34m(method, self, *args, **kwargs)\u001b[0m\n\u001b[0;32m    222\u001b[0m     \u001b[1;34m\"\"\"show traceback on failed format call\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    223\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 224\u001b[1;33m         \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    225\u001b[0m     \u001b[1;32mexcept\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    226\u001b[0m         \u001b[1;31m# don't warn on NotImplementedErrors\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m    339\u001b[0m                 \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    340\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 341\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mprinter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    342\u001b[0m             \u001b[1;31m# Finally look for special method names\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    343\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mget_real_method\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprint_method\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\pylabtools.py\u001b[0m in \u001b[0;36m<lambda>\u001b[1;34m(fig)\u001b[0m\n\u001b[0;32m    246\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    247\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[1;34m'png'\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 248\u001b[1;33m         \u001b[0mpng_formatter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mprint_figure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'png'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    249\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[1;34m'retina'\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mformats\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;34m'png2x'\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    250\u001b[0m         \u001b[0mpng_formatter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mretina_figure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\IPython\\core\\pylabtools.py\u001b[0m in \u001b[0;36mprint_figure\u001b[1;34m(fig, fmt, bbox_inches, **kwargs)\u001b[0m\n\u001b[0;32m    130\u001b[0m         \u001b[0mFigureCanvasBase\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    131\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 132\u001b[1;33m     \u001b[0mfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbytes_io\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    133\u001b[0m     \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbytes_io\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetvalue\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    134\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mfmt\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'svg'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\backend_bases.py\u001b[0m in \u001b[0;36mprint_figure\u001b[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[0;32m   2193\u001b[0m                         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2194\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2195\u001b[1;33m                     bbox_inches = self.figure.get_tightbbox(\n\u001b[0m\u001b[0;32m   2196\u001b[0m                         renderer, bbox_extra_artists=bbox_extra_artists)\n\u001b[0;32m   2197\u001b[0m                     \u001b[1;32mif\u001b[0m \u001b[0mpad_inches\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\figure.py\u001b[0m in \u001b[0;36mget_tightbbox\u001b[1;34m(self, renderer, bbox_extra_artists)\u001b[0m\n\u001b[0;32m   2504\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2505\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[1;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2506\u001b[1;33m             \u001b[0mbbox\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_tightbbox\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2507\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mbbox\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m \u001b[1;32mand\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mbbox\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwidth\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[1;36m0\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mbbox\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mheight\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2508\u001b[0m                 \u001b[0mbb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbbox\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\axis.py\u001b[0m in \u001b[0;36mget_tightbbox\u001b[1;34m(self, renderer, for_layout_only)\u001b[0m\n\u001b[0;32m   1112\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1113\u001b[0m         \u001b[1;31m# go back to just this axis's tick labels\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1114\u001b[1;33m         ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(\n\u001b[0m\u001b[0;32m   1115\u001b[0m                     ticks_to_draw, renderer)\n\u001b[0;32m   1116\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\axis.py\u001b[0m in \u001b[0;36m_get_tick_bboxes\u001b[1;34m(self, ticks, renderer)\u001b[0m\n\u001b[0;32m   1089\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_get_tick_bboxes\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mticks\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1090\u001b[0m         \u001b[1;34m\"\"\"Return lists of bboxes for ticks' label1's and label2's.\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1091\u001b[1;33m         return ([tick.label1.get_window_extent(renderer)\n\u001b[0m\u001b[0;32m   1092\u001b[0m                  for tick in ticks if tick.label1.get_visible()],\n\u001b[0;32m   1093\u001b[0m                 [tick.label2.get_window_extent(renderer)\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\axis.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m   1089\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_get_tick_bboxes\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mticks\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1090\u001b[0m         \u001b[1;34m\"\"\"Return lists of bboxes for ticks' label1's and label2's.\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1091\u001b[1;33m         return ([tick.label1.get_window_extent(renderer)\n\u001b[0m\u001b[0;32m   1092\u001b[0m                  for tick in ticks if tick.label1.get_visible()],\n\u001b[0;32m   1093\u001b[0m                 [tick.label2.get_window_extent(renderer)\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\text.py\u001b[0m in \u001b[0;36mget_window_extent\u001b[1;34m(self, renderer, dpi)\u001b[0m\n\u001b[0;32m    898\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    899\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mcbook\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_setattr_cm\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdpi\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdpi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 900\u001b[1;33m             \u001b[0mbbox\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minfo\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdescent\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_layout\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_renderer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    901\u001b[0m             \u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_unitless_position\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    902\u001b[0m             \u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_transform\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtransform\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\text.py\u001b[0m in \u001b[0;36m_get_layout\u001b[1;34m(self, renderer)\u001b[0m\n\u001b[0;32m    283\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    284\u001b[0m         \u001b[1;31m# Full vertical extent of font, including ascenders and descenders:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 285\u001b[1;33m         _, lp_h, lp_d = renderer.get_text_width_height_descent(\n\u001b[0m\u001b[0;32m    286\u001b[0m             \u001b[1;34m\"lp\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fontproperties\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    287\u001b[0m             ismath=\"TeX\" if self.get_usetex() else False)\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py\u001b[0m in \u001b[0;36mget_text_width_height_descent\u001b[1;34m(self, s, prop, ismath)\u001b[0m\n\u001b[0;32m    235\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    236\u001b[0m         \u001b[0mflags\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mget_hinting_flag\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 237\u001b[1;33m         \u001b[0mfont\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_agg_font\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprop\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    238\u001b[0m         \u001b[0mfont\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_text\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m0.0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mflags\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    239\u001b[0m         \u001b[0mw\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mh\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfont\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_width_height\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m  \u001b[1;31m# width and height of unrotated string\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py\u001b[0m in \u001b[0;36m_get_agg_font\u001b[1;34m(self, prop)\u001b[0m\n\u001b[0;32m    270\u001b[0m         \u001b[0mGet\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mfont\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mtext\u001b[0m \u001b[0minstance\u001b[0m \u001b[0mt\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcaching\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mefficiency\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    271\u001b[0m         \"\"\"\n\u001b[1;32m--> 272\u001b[1;33m         \u001b[0mfname\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfindfont\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprop\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    273\u001b[0m         \u001b[0mfont\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mget_font\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    274\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py\u001b[0m in \u001b[0;36mfindfont\u001b[1;34m(self, prop, fontext, directory, fallback_to_default, rebuild_if_missing)\u001b[0m\n\u001b[0;32m   1312\u001b[0m             \u001b[0mprop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfontext\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfallback_to_default\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrebuild_if_missing\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1313\u001b[0m             rc_params)\n\u001b[1;32m-> 1314\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrealpath\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1315\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1316\u001b[0m     \u001b[1;33m@\u001b[0m\u001b[0mlru_cache\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\ntpath.py\u001b[0m in \u001b[0;36mrealpath\u001b[1;34m(path)\u001b[0m\n\u001b[0;32m    645\u001b[0m             \u001b[0mpath\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcwd\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    646\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 647\u001b[1;33m             \u001b[0mpath\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_getfinalpathname\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    648\u001b[0m             \u001b[0minitial_winerror\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    649\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mex\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "df.groupby('Team')[['PassingYards','DistToMax']].plot.bar(stacked=True)"
   ]
  }
 ],
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