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September 16, 2020 17:03
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Fantasy Football with RotoGuru and CatBoost
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<sqlite3.Cursor at 0x12f8df340>" | |
| ] | |
| }, | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "%matplotlib inline\n", | |
| "%config InlineBackend.figure_format = \"retina\"\n", | |
| "\n", | |
| "from IPython.display import display\n", | |
| "\n", | |
| "import sqlite3\n", | |
| "from itertools import combinations\n", | |
| "\n", | |
| "import numpy as np\n", | |
| "import pandas as pd\n", | |
| "import seaborn as sns\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "from scipy.stats import gmean\n", | |
| "\n", | |
| "from sklearn.ensemble import RandomForestRegressor, ExtraTreesRegressor\n", | |
| "from sklearn.model_selection import train_test_split, KFold, TimeSeriesSplit, GridSearchCV\n", | |
| "\n", | |
| "from catboost import CatBoostClassifier, CatBoostRegressor, sum_models\n", | |
| "from xgboost import XGBClassifier, XGBRegressor\n", | |
| "\n", | |
| "from tqdm import tqdm\n", | |
| "\n", | |
| "import seaborn as sns\n", | |
| "\n", | |
| "# Graphs\n", | |
| "sns.set(style=\"darkgrid\", context=\"talk\")\n", | |
| "\n", | |
| "conn = sqlite3.connect(\"../nfl.db\", isolation_level=None)\n", | |
| "conn.execute(\"pragma journal_mode=wal\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "scrolled": true | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "33438\n" | |
| ] | |
| }, | |
| { | |
| "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>season</th>\n", | |
| " <th>week</th>\n", | |
| " <th>player_id</th>\n", | |
| " <th>name</th>\n", | |
| " <th>position</th>\n", | |
| " <th>team</th>\n", | |
| " <th>opp</th>\n", | |
| " <th>home_game</th>\n", | |
| " <th>points</th>\n", | |
| " <th>salary</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>7028</td>\n", | |
| " <td>Seattle Defense</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>8.0</td>\n", | |
| " <td>4400</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>7015</td>\n", | |
| " <td>Kansas City Defense</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>1</td>\n", | |
| " <td>4.0</td>\n", | |
| " <td>4000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>7021</td>\n", | |
| " <td>New York J Defense</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>OAK</td>\n", | |
| " <td>1</td>\n", | |
| " <td>3.0</td>\n", | |
| " <td>3900</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>7024</td>\n", | |
| " <td>Pittsburgh Defense</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>1</td>\n", | |
| " <td>3.0</td>\n", | |
| " <td>3900</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>7003</td>\n", | |
| " <td>Baltimore Defense</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2.0</td>\n", | |
| " <td>3800</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " season week player_id name position team opp home_game \\\n", | |
| "0 2014 1 7028 Seattle Defense DEF SEA GB 1 \n", | |
| "1 2014 1 7015 Kansas City Defense DEF KC TEN 1 \n", | |
| "2 2014 1 7021 New York J Defense DEF NYJ OAK 1 \n", | |
| "3 2014 1 7024 Pittsburgh Defense DEF PIT CLE 1 \n", | |
| "4 2014 1 7003 Baltimore Defense DEF BAL CIN 1 \n", | |
| "\n", | |
| " points salary \n", | |
| "0 8.0 4400 \n", | |
| "1 4.0 4000 \n", | |
| "2 3.0 3900 \n", | |
| "3 3.0 3900 \n", | |
| "4 2.0 3800 " | |
| ] | |
| }, | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "sql = \"\"\"\n", | |
| "select\n", | |
| "*\n", | |
| "from guru_stats\n", | |
| "where week <= 14\n", | |
| "and salary > 0\n", | |
| "order by season, week, position, salary desc\n", | |
| "\"\"\"\n", | |
| "\n", | |
| "df = pd.io.sql.read_sql(sql, conn).round(3)\n", | |
| "\n", | |
| "# Needed for team categories\n", | |
| "df.loc[df.opp == \"LV\", \"opp\"] = \"OAK\"\n", | |
| "df.loc[df.team == \"LV\", \"team\"] = \"OAK\"\n", | |
| "\n", | |
| "df[\"salary\"] = df.salary.fillna(0)\n", | |
| "\n", | |
| "print(len(df))\n", | |
| "df.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "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>season</th>\n", | |
| " <th>week</th>\n", | |
| " <th>team</th>\n", | |
| " <th>te_max</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>3200</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>8</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>3000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>13</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>4400</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>18</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>3500</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>23</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>4700</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " season week team te_max\n", | |
| "3 2014 1 ARI 3200\n", | |
| "8 2014 1 ATL 3000\n", | |
| "13 2014 1 BAL 4400\n", | |
| "18 2014 1 BUF 3500\n", | |
| "23 2014 1 CAR 4700" | |
| ] | |
| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "pos_max = df.groupby([\"season\", \"week\", \"team\", \"position\"]).salary.max()\n", | |
| "pos_max = pos_max.reset_index()\n", | |
| "opp_max = pos_max.rename(columns={\"team\": \"opp\"})\n", | |
| "\n", | |
| "qb_max = pos_max[pos_max.position == \"QB\"].rename(columns={\"salary\": \"qb_max\"}).drop(\"position\", axis=1)\n", | |
| "rb_max = pos_max[pos_max.position == \"RB\"].rename(columns={\"salary\": \"rb_max\"}).drop(\"position\", axis=1)\n", | |
| "wr_max = pos_max[pos_max.position == \"WR\"].rename(columns={\"salary\": \"wr_max\"}).drop(\"position\", axis=1)\n", | |
| "te_max = pos_max[pos_max.position == \"TE\"].rename(columns={\"salary\": \"te_max\"}).drop(\"position\", axis=1)\n", | |
| "\n", | |
| "def_max = pos_max[pos_max.position == \"DEF\"].rename(columns={\"salary\": \"def_max\"}).drop(\"position\", axis=1)\n", | |
| "opp_def_max = opp_max[opp_max.position == \"DEF\"].rename(columns={\"salary\": \"opp_max\"}).drop(\"position\", axis=1)\n", | |
| "\n", | |
| "te_max.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
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| " }\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>season</th>\n", | |
| " <th>week</th>\n", | |
| " <th>team</th>\n", | |
| " <th>qb_sum</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>7500</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>6</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>12900</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>11</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>6700</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>16</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>5900</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>21</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>5000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " season week team qb_sum\n", | |
| "1 2014 1 ARI 7500\n", | |
| "6 2014 1 ATL 12900\n", | |
| "11 2014 1 BAL 6700\n", | |
| "16 2014 1 BUF 5900\n", | |
| "21 2014 1 CAR 5000" | |
| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "pos_sum = df.groupby([\"season\", \"week\", \"team\", \"position\"]).salary.sum()\n", | |
| "pos_sum = pos_sum.reset_index()\n", | |
| "opp_sum = pos_sum.reset_index().rename(columns={\"team\": \"opp\"})\n", | |
| "\n", | |
| "qb_sum = pos_sum[pos_sum.position == \"QB\"].rename(columns={\"salary\": \"qb_sum\"}).drop(\"position\", axis=1)\n", | |
| "rb_sum = pos_sum[pos_sum.position == \"RB\"].rename(columns={\"salary\": \"rb_sum\"}).drop(\"position\", axis=1)\n", | |
| "wr_sum = pos_sum[pos_sum.position == \"WR\"].rename(columns={\"salary\": \"wr_sum\"}).drop(\"position\", axis=1)\n", | |
| "te_sum = pos_sum[pos_sum.position == \"TE\"].rename(columns={\"salary\": \"te_sum\"}).drop(\"position\", axis=1)\n", | |
| "\n", | |
| "qb_sum.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "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", | |
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| " }\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>season</th>\n", | |
| " <th>week</th>\n", | |
| " <th>team</th>\n", | |
| " <th>rb_std</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>1500.000000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>876.356092</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>12</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>923.760431</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>17</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>1517.673658</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>22</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>680.685929</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " season week team rb_std\n", | |
| "2 2014 1 ARI 1500.000000\n", | |
| "7 2014 1 ATL 876.356092\n", | |
| "12 2014 1 BAL 923.760431\n", | |
| "17 2014 1 BUF 1517.673658\n", | |
| "22 2014 1 CAR 680.685929" | |
| ] | |
| }, | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "pos_std = df.groupby([\"season\", \"week\", \"team\", \"position\"]).salary.std().fillna(0)\n", | |
| "pos_std = pos_std.reset_index()\n", | |
| "opp_std = pos_std.reset_index().rename(columns={\"team\": \"opp\"})\n", | |
| "\n", | |
| "qb_std = pos_std[pos_std.position == \"QB\"].rename(columns={\"salary\": \"qb_std\"}).drop(\"position\", axis=1)\n", | |
| "rb_std = pos_std[pos_std.position == \"RB\"].rename(columns={\"salary\": \"rb_std\"}).drop(\"position\", axis=1)\n", | |
| "wr_std = pos_std[pos_std.position == \"WR\"].rename(columns={\"salary\": \"wr_std\"}).drop(\"position\", axis=1)\n", | |
| "te_std = pos_std[pos_std.position == \"TE\"].rename(columns={\"salary\": \"te_std\"}).drop(\"position\", axis=1)\n", | |
| "\n", | |
| "rb_std.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "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>season</th>\n", | |
| " <th>week</th>\n", | |
| " <th>player_id</th>\n", | |
| " <th>name</th>\n", | |
| " <th>position</th>\n", | |
| " <th>team</th>\n", | |
| " <th>opp</th>\n", | |
| " <th>home_game</th>\n", | |
| " <th>points</th>\n", | |
| " <th>salary</th>\n", | |
| " <th>...</th>\n", | |
| " <th>def_max</th>\n", | |
| " <th>opp_max</th>\n", | |
| " <th>qb_sum</th>\n", | |
| " <th>rb_sum</th>\n", | |
| " <th>wr_sum</th>\n", | |
| " <th>te_sum</th>\n", | |
| " <th>qb_std</th>\n", | |
| " <th>rb_std</th>\n", | |
| " <th>wr_std</th>\n", | |
| " <th>te_std</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>7028</td>\n", | |
| " <td>Seattle Defense</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>8.00</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>12800</td>\n", | |
| " <td>15800</td>\n", | |
| " <td>6100</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>2193.931023</td>\n", | |
| " <td>230.217289</td>\n", | |
| " <td>70.710678</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>1412</td>\n", | |
| " <td>Russell Wilson</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>18.54</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>12800</td>\n", | |
| " <td>15800</td>\n", | |
| " <td>6100</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>2193.931023</td>\n", | |
| " <td>230.217289</td>\n", | |
| " <td>70.710678</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2552</td>\n", | |
| " <td>Marshawn Lynch</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>28.40</td>\n", | |
| " <td>6800</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>12800</td>\n", | |
| " <td>15800</td>\n", | |
| " <td>6100</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>2193.931023</td>\n", | |
| " <td>230.217289</td>\n", | |
| " <td>70.710678</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2867</td>\n", | |
| " <td>Robert Turbin</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2.70</td>\n", | |
| " <td>3000</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>12800</td>\n", | |
| " <td>15800</td>\n", | |
| " <td>6100</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>2193.931023</td>\n", | |
| " <td>230.217289</td>\n", | |
| " <td>70.710678</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>2014</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2909</td>\n", | |
| " <td>Derrick Coleman</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>8.50</td>\n", | |
| " <td>3000</td>\n", | |
| " <td>...</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>12800</td>\n", | |
| " <td>15800</td>\n", | |
| " <td>6100</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>2193.931023</td>\n", | |
| " <td>230.217289</td>\n", | |
| " <td>70.710678</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>5 rows × 24 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " season week player_id name position team opp home_game \\\n", | |
| "0 2014 1 7028 Seattle Defense DEF SEA GB 1 \n", | |
| "1 2014 1 1412 Russell Wilson QB SEA GB 1 \n", | |
| "2 2014 1 2552 Marshawn Lynch RB SEA GB 1 \n", | |
| "3 2014 1 2867 Robert Turbin RB SEA GB 1 \n", | |
| "4 2014 1 2909 Derrick Coleman RB SEA GB 1 \n", | |
| "\n", | |
| " points salary ... def_max opp_max qb_sum rb_sum wr_sum te_sum \\\n", | |
| "0 8.00 4400 ... 4400 3500 7700 12800 15800 6100 \n", | |
| "1 18.54 7700 ... 4400 3500 7700 12800 15800 6100 \n", | |
| "2 28.40 6800 ... 4400 3500 7700 12800 15800 6100 \n", | |
| "3 2.70 3000 ... 4400 3500 7700 12800 15800 6100 \n", | |
| "4 8.50 3000 ... 4400 3500 7700 12800 15800 6100 \n", | |
| "\n", | |
| " qb_std rb_std wr_std te_std \n", | |
| "0 0.0 2193.931023 230.217289 70.710678 \n", | |
| "1 0.0 2193.931023 230.217289 70.710678 \n", | |
| "2 0.0 2193.931023 230.217289 70.710678 \n", | |
| "3 0.0 2193.931023 230.217289 70.710678 \n", | |
| "4 0.0 2193.931023 230.217289 70.710678 \n", | |
| "\n", | |
| "[5 rows x 24 columns]" | |
| ] | |
| }, | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "flex_cond = (df.position.isin([\"QB\", \"WR\", \"TE\", \"RB\", \"DEF\"]))\n", | |
| "dfx = df[flex_cond]\n", | |
| "\n", | |
| "dfx = pd.merge(dfx, qb_max, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, rb_max, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, wr_max, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, te_max, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, def_max, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, opp_def_max, on=[\"season\", \"week\", \"opp\"])\n", | |
| "\n", | |
| "dfx = pd.merge(dfx, qb_sum, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, rb_sum, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, wr_sum, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, te_sum, on=[\"season\", \"week\", \"team\"])\n", | |
| "\n", | |
| "dfx = pd.merge(dfx, qb_std, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, rb_std, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, wr_std, on=[\"season\", \"week\", \"team\"])\n", | |
| "dfx = pd.merge(dfx, te_std, on=[\"season\", \"week\", \"team\"])\n", | |
| "\n", | |
| "dfx.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "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>position</th>\n", | |
| " <th>team</th>\n", | |
| " <th>opp</th>\n", | |
| " <th>home_game</th>\n", | |
| " <th>salary</th>\n", | |
| " <th>qb_max</th>\n", | |
| " <th>rb_max</th>\n", | |
| " <th>wr_max</th>\n", | |
| " <th>te_max</th>\n", | |
| " <th>def_max</th>\n", | |
| " <th>opp_max</th>\n", | |
| " <th>qb_sum</th>\n", | |
| " <th>rb_sum</th>\n", | |
| " <th>wr_sum</th>\n", | |
| " <th>te_sum</th>\n", | |
| " <th>qb_std</th>\n", | |
| " <th>rb_std</th>\n", | |
| " <th>wr_std</th>\n", | |
| " <th>te_std</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>DEF</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>6800</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>3100</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>12800</td>\n", | |
| " <td>15800</td>\n", | |
| " <td>6100</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>2193.9</td>\n", | |
| " <td>230.2</td>\n", | |
| " <td>70.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>QB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>6800</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>3100</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>12800</td>\n", | |
| " <td>15800</td>\n", | |
| " <td>6100</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>2193.9</td>\n", | |
| " <td>230.2</td>\n", | |
| " <td>70.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>RB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>6800</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>6800</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>3100</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>12800</td>\n", | |
| " <td>15800</td>\n", | |
| " <td>6100</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>2193.9</td>\n", | |
| " <td>230.2</td>\n", | |
| " <td>70.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>RB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>3000</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>6800</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>3100</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>12800</td>\n", | |
| " <td>15800</td>\n", | |
| " <td>6100</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>2193.9</td>\n", | |
| " <td>230.2</td>\n", | |
| " <td>70.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>RB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>1</td>\n", | |
| " <td>3000</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>6800</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>3100</td>\n", | |
| " <td>4400</td>\n", | |
| " <td>3500</td>\n", | |
| " <td>7700</td>\n", | |
| " <td>12800</td>\n", | |
| " <td>15800</td>\n", | |
| " <td>6100</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>2193.9</td>\n", | |
| " <td>230.2</td>\n", | |
| " <td>70.7</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " position team opp home_game salary qb_max rb_max wr_max te_max \\\n", | |
| "0 DEF SEA GB 1 4400 7700 6800 3500 3100 \n", | |
| "1 QB SEA GB 1 7700 7700 6800 3500 3100 \n", | |
| "2 RB SEA GB 1 6800 7700 6800 3500 3100 \n", | |
| "3 RB SEA GB 1 3000 7700 6800 3500 3100 \n", | |
| "4 RB SEA GB 1 3000 7700 6800 3500 3100 \n", | |
| "\n", | |
| " def_max opp_max qb_sum rb_sum wr_sum te_sum qb_std rb_std wr_std \\\n", | |
| "0 4400 3500 7700 12800 15800 6100 0.0 2193.9 230.2 \n", | |
| "1 4400 3500 7700 12800 15800 6100 0.0 2193.9 230.2 \n", | |
| "2 4400 3500 7700 12800 15800 6100 0.0 2193.9 230.2 \n", | |
| "3 4400 3500 7700 12800 15800 6100 0.0 2193.9 230.2 \n", | |
| "4 4400 3500 7700 12800 15800 6100 0.0 2193.9 230.2 \n", | |
| "\n", | |
| " te_std \n", | |
| "0 70.7 \n", | |
| "1 70.7 \n", | |
| "2 70.7 \n", | |
| "3 70.7 \n", | |
| "4 70.7 " | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "SEASON_TO_TEST = 2020\n", | |
| "\n", | |
| "DROP_COLS = [\"season\", \"player_id\", \"name\", \"week\"]\n", | |
| "\n", | |
| "X = dfx[dfx.season < SEASON_TO_TEST].drop(DROP_COLS, axis=1)\n", | |
| "X = X.round(1)\n", | |
| "y = X.pop(\"points\").fillna(0)\n", | |
| "\n", | |
| "test = dfx[dfx.season == SEASON_TO_TEST]\n", | |
| "test_names = test[[\"season\", \"week\", \"name\", \"position\", \"team\", \"opp\"]]\n", | |
| "test_X = test.drop(DROP_COLS, axis=1).round(1)\n", | |
| "test_y = test_X.pop(\"points\")\n", | |
| "\n", | |
| "X.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "12it [00:27, 2.31s/it]\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "from catboost import sum_models\n", | |
| "from sklearn.model_selection import KFold\n", | |
| "from tqdm import tqdm\n", | |
| "\n", | |
| "n_splits = 12\n", | |
| "kf = KFold(n_splits=n_splits)\n", | |
| "\n", | |
| "models = []\n", | |
| "\n", | |
| "for train_idx, test_idx in tqdm(kf.split(X)):\n", | |
| " X_train, X_test = X.iloc[train_idx], X.iloc[test_idx]\n", | |
| " y_train, y_test = y.iloc[train_idx], y.iloc[test_idx]\n", | |
| " cat = CatBoostRegressor(iterations=800, verbose=False, od_type=\"Iter\", od_wait=30)\n", | |
| " cat.fit(X_train, y_train, cat_features=[\"position\", \"team\", \"opp\"],\n", | |
| " eval_set=(X_test, y_test))\n", | |
| " models.append(cat)\n", | |
| " \n", | |
| "weights = [1.0 / n_splits] * n_splits\n", | |
| "\n", | |
| "cat = sum_models(models, weights=weights)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
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| "(c) Sindre Sorhus\n", | |
| "@license MIT\n", | |
| "*/\n", | |
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n.childContextTypes?u(\"107\",this.getName()||\"ReactCompositeComponent\"):void 0;for(var i in e)i in n.childContextTypes?void 0:u(\"108\",this.getName()||\"ReactCompositeComponent\",i);return c({},t,e)}return t},_checkContextTypes:function(t,e,n){},receiveComponent:function(t,e,n){var r=this._currentElement,i=this._context;this._pendingElement=null,this.updateComponent(e,r,t,i,n)},performUpdateIfNecessary:function(t){null!=this._pendingElement?v.receiveComponent(this,this._pendingElement,t,this._context):null!==this._pendingStateQueue||this._pendingForceUpdate?this.updateComponent(t,this._currentElement,this._currentElement,this._context,this._context):this._updateBatchNumber=null},updateComponent:function(t,e,n,r,i){var o=this._instance;null==o?u(\"136\",this.getName()||\"ReactCompositeComponent\"):void 0;var a,c=!1;this._context===i?a=o.context:(a=this._processContext(i),c=!0);var s=e.props,l=n.props;e!==n&&(c=!0),c&&o.componentWillReceiveProps&&o.componentWillReceiveProps(l,a);var f=this._processPendingState(l,a),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,a):this._compositeType===_.PureClass&&(p=!m(s,l)||!m(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,a,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=a)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=c({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var u=r[a];c(o,\"function\"==typeof u?u.call(n,o,t,e):u)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(y(r,i))v.receiveComponent(n,i,t,this._processChildContext(e));else{var a=v.getHostNode(n);v.unmountComponent(n,!1);var u=d.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==d.EMPTY);this._renderedComponent=c;var s=v.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){l.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t,e=this._instance;return t=e.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==_.StatelessFunctional){f.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{f.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||t===!1||s.isValidElement(t)?void 0:u(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n?u(\"110\"):void 0;var r=e.getPublicInstance(),i=n.refs===g?n.refs={}:n.refs;i[t]=r},detachRef:function(t){var e=this.getPublicInstance().refs;delete e[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===_.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=x},function(t,e,n){\"use strict\";var r=n(4),i=n(358),o=n(163),a=n(24),u=n(11),c=n(371),s=n(387),l=n(167),f=n(395);n(1);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&(G[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML?v(\"137\",t._tag,t._currentElement._owner?\" Check the render method of \"+t._currentElement._owner.getName()+\".\":\"\"):void 0),null!=e.dangerouslySetInnerHTML&&(null!=e.children?v(\"60\"):void 0,\"object\"==typeof e.dangerouslySetInnerHTML&&V in e.dangerouslySetInnerHTML?void 0:v(\"61\")),null!=e.style&&\"object\"!=typeof e.style?v(\"62\",r(t)):void 0)}function o(t,e,n,r){if(!(r instanceof I)){var i=t._hostContainerInfo,o=i._node&&i._node.nodeType===H,u=o?i._node:i._ownerDocument;F(e,u),r.getReactMountReady().enqueue(a,{inst:t,registrationName:e,listener:n})}}function a(){var t=this;C.putListener(t.inst,t.registrationName,t.listener)}function u(){var t=this;S.postMountWrapper(t)}function c(){var t=this;A.postMountWrapper(t)}function s(){var t=this;P.postMountWrapper(t)}function l(){var t=this;t._rootNodeID?void 0:v(\"63\");var e=U(t);switch(e?void 0:v(\"64\"),t._tag){case\"iframe\":case\"object\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"video\":case\"audio\":t._wrapperState.listeners=[];for(var n in q)q.hasOwnProperty(n)&&t._wrapperState.listeners.push(k.trapBubbledEvent(n,q[n],e));break;case\"source\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e),k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topReset\",\"reset\",e),k.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function f(){N.postUpdateWrapper(this)}function p(t){Z.call(X,t)||($.test(t)?void 0:v(\"65\",t),X[t]=!0)}function h(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function d(t){var e=t.type;p(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var v=n(2),g=n(3),m=n(332),y=n(334),_=n(20),b=n(82),x=n(21),w=n(156),C=n(22),M=n(83),k=n(51),E=n(157),T=n(4),S=n(351),P=n(352),N=n(158),A=n(355),O=(n(9),n(364)),I=n(369),D=(n(8),n(54)),R=(n(0),n(94),n(80),n(96),n(1),E),L=C.deleteListener,U=T.getNodeFromInstance,F=k.listenTo,j=M.registrationNameModules,B={string:!0,number:!0},W=\"style\",V=\"__html\",z={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},H=11,q={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},Y={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},K={listing:!0,pre:!0,textarea:!0},G=g({menuitem:!0},Y),$=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,X={},Z={}.hasOwnProperty,Q=1;d.displayName=\"ReactDOMComponent\",d.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=Q++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(l,this);break;case\"input\":S.mountWrapper(this,o,e),o=S.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"option\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o);break;case\"select\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"textarea\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o),t.getReactMountReady().enqueue(l,this)}i(this,o);var a,f;null!=e?(a=e._namespaceURI,f=e._tag):n._tag&&(a=n._namespaceURI,f=n._tag),(null==a||a===b.svg&&\"foreignobject\"===f)&&(a=b.html),a===b.html&&(\"svg\"===this._tag?a=b.svg:\"math\"===this._tag&&(a=b.mathml)),this._namespaceURI=a;var p;if(t.useCreateElement){var h,d=n._ownerDocument;if(a===b.html)if(\"script\"===this._tag){var v=d.createElement(\"div\"),g=this._currentElement.type;v.innerHTML=\"<\"+g+\"></\"+g+\">\",h=v.removeChild(v.firstChild)}else h=o.is?d.createElement(this._currentElement.type,o.is):d.createElement(this._currentElement.type);else h=d.createElementNS(a,this._currentElement.type);T.precacheNode(this,h),this._flags|=R.hasCachedChildNodes,this._hostParent||w.setAttributeForRoot(h),this._updateDOMProperties(null,o,t);var y=_(h);this._createInitialChildren(t,o,r,y),p=y}else{var x=this._createOpenTagMarkupAndPutListeners(t,o),C=this._createContentMarkup(t,o,r);p=!C&&Y[this._tag]?x+\"/>\":x+\">\"+C+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"select\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return p},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(j.hasOwnProperty(r))i&&o(this,r,i,t);else{r===W&&(i&&(i=this._previousStyleCopy=g({},e.style)),i=y.createMarkupForStyles(i,this));var a=null;null!=this._tag&&h(this._tag,e)?z.hasOwnProperty(r)||(a=w.createMarkupForCustomAttribute(r,i)):a=w.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+w.createMarkupForRoot()),n+=\" \"+w.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=D(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return K[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&_.queueHTML(r,i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&_.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)_.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=S.getHostProps(this,o),a=S.getHostProps(this,a);break;case\"option\":o=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"select\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"textarea\":o=A.getHostProps(this,o),a=A.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":S.updateWrapper(this);break;case\"textarea\":A.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(f,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(r===W){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else j.hasOwnProperty(r)?t[r]&&L(this,r):h(this._tag,t)?z.hasOwnProperty(r)||w.deleteValueForAttribute(U(this),r):(x.properties[r]||x.isCustomAttribute(r))&&w.deleteValueForProperty(U(this),r);for(r in e){var c=e[r],s=r===W?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(r===W)if(c?c=this._previousStyleCopy=g({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(j.hasOwnProperty(r))c?o(this,r,c,n):s&&L(this,r);else if(h(this._tag,e))z.hasOwnProperty(r)||w.setValueForAttribute(U(this),r,c);else if(x.properties[r]||x.isCustomAttribute(r)){var l=U(this);null!=c?w.setValueForProperty(l,r,c):w.deleteValueForProperty(l,r)}}a&&y.setValueForStyles(U(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=B[typeof t.children]?t.children:null,o=B[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return U(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"html\":case\"head\":case\"body\":v(\"66\",this._tag)}this.unmountChildren(t),T.uncacheNode(this),C.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return U(this)}},g(d.prototype,d.Mixin,O.Mixin),t.exports=d},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(96),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" \";if(t.useCreateElement){var c=n._ownerDocument,s=c.createComment(u);return o.precacheNode(this,s),i(s)}return t.renderToStaticMarkup?\"\":\"<!--\"+u+\"-->\"},receiveComponent:function(){},getHostNode:function(){return o.getNodeFromInstance(this)},unmountComponent:function(){o.uncacheNode(this)}}),t.exports=a},function(t,e,n){\"use strict\";var r={useCreateElement:!0,useFiber:!1};t.exports=r},function(t,e,n){\"use strict\";var r=n(81),i=n(4),o={dangerouslyProcessChildrenUpdates:function(t,e){var n=i.getNodeFromInstance(t);r.processUpdates(n,e)}};t.exports=o},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&f.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=c.executeOnChange(e,t);l.asap(r,this);var i=e.name;if(\"radio\"===e.type&&null!=i){for(var a=s.getNodeFromInstance(this),u=a;u.parentNode;)u=u.parentNode;for(var f=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<f.length;p++){var h=f[p];if(h!==a&&h.form===a.form){var d=s.getInstanceFromNode(h);d?void 0:o(\"90\"),l.asap(r,d)}}}return n}var o=n(2),a=n(3),u=n(156),c=n(85),s=n(4),l=n(11),f=(n(0),n(1),{getHostProps:function(t,e){var n=c.getValue(e),r=c.getChecked(e),i=a({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange});return i},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&u.setValueForProperty(s.getNodeFromInstance(t),\"checked\",n||!1);var r=s.getNodeFromInstance(t),i=c.getValue(e);if(null!=i){var o=\"\"+i;o!==r.value&&(r.value=o)}else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=s.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=f},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(158),c=(n(1),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){var n=a.getNodeFromInstance(t);n.setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length,a=o+r;return{start:o,end:a}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(392),l=n(168),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(2),i=n(3),o=n(81),a=n(20),u=n(4),c=n(54),s=(n(0),n(96),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \",s=\" /react-text \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var l=n._ownerDocument,f=l.createComment(o),p=l.createComment(s),h=a(l.createDocumentFragment());return a.queueChild(h,a(f)),this._stringText&&a.queueChild(h,a(l.createTextNode(this._stringText))),a.queueChild(h,a(p)),u.precacheNode(this,f),this._closingComment=p,h}var d=c(this._stringText);return t.renderToStaticMarkup?d:\"<!--\"+o+\"-->\"+d+\"<!--\"+s+\"-->\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n?r(\"67\",this._domID):void 0,8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(2),a=n(3),u=n(85),c=n(4),s=n(11),l=(n(0),n(1),{getHostProps:function(t,e){null!=e.dangerouslySetInnerHTML?o(\"91\"):void 0;var n=a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange});return n},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a?o(\"92\"):void 0,Array.isArray(c)&&(c.length<=1?void 0:o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;\n", | |
| "n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t?void 0:c(\"33\"),\"_hostNode\"in e?void 0:c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in t?void 0:c(\"35\"),\"_hostNode\"in e?void 0:c(\"35\");for(;e;){if(e===t)return!0;e=e._hostParent}return!1}function o(t){return\"_hostNode\"in t?void 0:c(\"36\"),t._hostParent}function a(t,e,n){for(var r=[];t;)r.push(t),t=t._hostParent;var i;for(i=r.length;i-- >0;)e(r[i],\"captured\",n);for(i=0;i<r.length;i++)e(r[i],\"bubbled\",n)}function u(t,e,n,i,o){for(var a=t&&e?r(t,e):null,u=[];t&&t!==a;)u.push(t),t=t._hostParent;for(var c=[];e&&e!==a;)c.push(e),e=e._hostParent;var s;for(s=0;s<u.length;s++)n(u[s],\"bubbled\",i);for(s=c.length;s-- 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r(){C||(C=!0,y.EventEmitter.injectReactEventListener(m),y.EventPluginHub.injectEventPluginOrder(u),y.EventPluginUtils.injectComponentTree(p),y.EventPluginUtils.injectTreeTraversal(d),y.EventPluginHub.injectEventPluginsByName({SimpleEventPlugin:w,EnterLeaveEventPlugin:c,ChangeEventPlugin:a,SelectEventPlugin:x,BeforeInputEventPlugin:o}),y.HostComponent.injectGenericComponentClass(f),y.HostComponent.injectTextComponentClass(v),y.DOMProperty.injectDOMPropertyConfig(i),y.DOMProperty.injectDOMPropertyConfig(s),y.DOMProperty.injectDOMPropertyConfig(b),y.EmptyComponent.injectEmptyComponentFactory(function(t){return new h(t)}),y.Updates.injectReconcileTransaction(_),y.Updates.injectBatchingStrategy(g),y.Component.injectEnvironment(l))}var i=n(331),o=n(333),a=n(335),u=n(337),c=n(338),s=n(341),l=n(343),f=n(346),p=n(4),h=n(348),d=n(356),v=n(354),g=n(357),m=n(361),y=n(362),_=n(367),b=n(372),x=n(373),w=n(374),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof 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v={_enabled:!0,_handleTopLevel:null,WINDOW_HANDLE:s.canUseDOM?window:null,setHandleTopLevel:function(t){v._handleTopLevel=t},setEnabled:function(t){v._enabled=!!t},isEnabled:function(){return v._enabled},trapBubbledEvent:function(t,e,n){return n?c.listen(n,e,v.dispatchEvent.bind(null,t)):null},trapCapturedEvent:function(t,e,n){return n?c.capture(n,e,v.dispatchEvent.bind(null,t)):null},monitorScrollValue:function(t){var e=a.bind(null,t);c.listen(window,\"scroll\",e)},dispatchEvent:function(t,e){if(v._enabled){var n=i.getPooled(t,e);try{p.batchedUpdates(o,n)}finally{i.release(n)}}}};t.exports=v},function(t,e,n){\"use strict\";var r=n(21),i=n(22),o=n(50),a=n(86),u=n(159),c=n(51),s=n(161),l=n(11),f={Component:a.injection,DOMProperty:r.injection,EmptyComponent:u.injection,EventPluginHub:i.injection,EventPluginUtils:o.injection,EventEmitter:c.injection,HostComponent:s.injection,Updates:l.injection};t.exports=f},function(t,e,n){\"use strict\";var r=n(385),i=/\\/?>/,o=/^<\\!\\-\\-/,a={CHECKSUM_ATTR_NAME:\"data-react-checksum\",addChecksumToMarkup:function(t){var e=r(t);return o.test(t)?t:t.replace(i,\" \"+a.CHECKSUM_ATTR_NAME+'=\"'+e+'\"$&')},canReuseMarkup:function(t,e){var n=e.getAttribute(a.CHECKSUM_ATTR_NAME);n=n&&parseInt(n,10);var i=r(t);return i===n}};t.exports=a},function(t,e,n){\"use strict\";function r(t,e,n){return{type:\"INSERT_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:n,afterNode:e}}function i(t,e,n){return{type:\"MOVE_EXISTING\",content:null,fromIndex:t._mountIndex,fromNode:p.getHostNode(t),toIndex:n,afterNode:e}}function o(t,e){return{type:\"REMOVE_NODE\",content:null,fromIndex:t._mountIndex,fromNode:e,toIndex:null,afterNode:null}}function a(t){return{type:\"SET_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function u(t){return{type:\"TEXT_CONTENT\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function c(t,e){return e&&(t=t||[],t.push(e)),t}function s(t,e){f.processChildrenUpdates(t,e)}var l=n(2),f=n(86),p=(n(40),n(9),n(15),n(24)),h=n(342),d=(n(8),n(388)),v=(n(0),{Mixin:{_reconcilerInstantiateChildren:function(t,e,n){return h.instantiateChildren(t,e,n)},_reconcilerUpdateChildren:function(t,e,n,r,i,o){var a,u=0;return a=d(e,u),h.updateChildren(t,a,n,r,i,this,this._hostContainerInfo,o,u),a},mountChildren:function(t,e,n){var r=this._reconcilerInstantiateChildren(t,e,n);this._renderedChildren=r;var i=[],o=0;for(var a in r)if(r.hasOwnProperty(a)){var u=r[a],c=0,s=p.mountComponent(u,e,this,this._hostContainerInfo,n,c);u._mountIndex=o++,i.push(s)}return i},updateTextContent:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[u(t)];s(this,r)},updateMarkup:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[a(t)];s(this,r)},updateChildren:function(t,e,n){this._updateChildren(t,e,n)},_updateChildren:function(t,e,n){var r=this._renderedChildren,i={},o=[],a=this._reconcilerUpdateChildren(r,t,o,i,e,n);if(a||r){var u,l=null,f=0,h=0,d=0,v=null;for(u in a)if(a.hasOwnProperty(u)){var g=r&&r[u],m=a[u];g===m?(l=c(l,this.moveChild(g,v,f,h)),h=Math.max(g._mountIndex,h),g._mountIndex=f):(g&&(h=Math.max(g._mountIndex,h)),l=c(l,this._mountChildAtIndex(m,o[d],v,f,e,n)),d++),f++,v=p.getHostNode(m)}for(u in i)i.hasOwnProperty(u)&&(l=c(l,this._unmountChild(r[u],i[u])));l&&s(this,l),this._renderedChildren=a}},unmountChildren:function(t){var e=this._renderedChildren;h.unmountChildren(e,t),this._renderedChildren=null},moveChild:function(t,e,n,r){if(t._mountIndex<r)return i(t,e,n)},createChild:function(t,e,n){return r(n,e,t._mountIndex)},removeChild:function(t,e){return o(t,e)},_mountChildAtIndex:function(t,e,n,r,i,o){return t._mountIndex=r,this.createChild(t,n,e)},_unmountChild:function(t,e){var n=this.removeChild(t,e);return t._mountIndex=null,n}}});t.exports=v},function(t,e,n){\"use strict\";function r(t){return!(!t||\"function\"!=typeof t.attachRef||\"function\"!=typeof t.detachRef)}var i=n(2),o=(n(0),{addComponentAsRefTo:function(t,e,n){r(n)?void 0:i(\"119\"),n.attachRef(e,t)},removeComponentAsRefFrom:function(t,e,n){r(n)?void 0:i(\"120\");var o=n.getPublicInstance();o&&o.refs[e]===t.getPublicInstance()&&n.detachRef(e)}});t.exports=o},function(t,e,n){\"use strict\";var r=\"SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED\";t.exports=r},function(t,e,n){\"use strict\";function r(t){this.reinitializeTransaction(),this.renderToStaticMarkup=!1,this.reactMountReady=o.getPooled(null),this.useCreateElement=t}var i=n(3),o=n(155),a=n(17),u=n(51),c=n(162),s=(n(9),n(53)),l=n(88),f={initialize:c.getSelectionInformation,close:c.restoreSelection},p={initialize:function(){var t=u.isEnabled();return u.setEnabled(!1),t},close:function(t){u.setEnabled(t)}},h={initialize:function(){this.reactMountReady.reset()},close:function(){this.reactMountReady.notifyAll()}},d=[f,p,h],v={getTransactionWrappers:function(){return d},getReactMountReady:function(){return this.reactMountReady},getUpdateQueue:function(){return l},checkpoint:function(){return this.reactMountReady.checkpoint()},rollback:function(t){this.reactMountReady.rollback(t)},destructor:function(){o.release(this.reactMountReady),this.reactMountReady=null}};i(r.prototype,s,v),a.addPoolingTo(r),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n){\"function\"==typeof t?t(e.getPublicInstance()):o.addComponentAsRefTo(e,t,n)}function i(t,e,n){\"function\"==typeof t?t(null):o.removeComponentAsRefFrom(e,t,n)}var o=n(365),a={};a.attachRefs=function(t,e){if(null!==e&&\"object\"==typeof e){var n=e.ref;null!=n&&r(n,t,e._owner)}},a.shouldUpdateRefs=function(t,e){var n=null,r=null;null!==t&&\"object\"==typeof 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| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "import shap\n", | |
| "shap.initjs()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
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\n", | |
| "text/plain": [ | |
| "<Figure size 576x655.2 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "image/png": { | |
| "height": 549, | |
| "width": 558 | |
| } | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "shap_cat = shap.TreeExplainer(cat).shap_values(X_test)\n", | |
| "shap.summary_plot(shap_cat, feature_names=X_test.columns)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "Passing parameters norm and vmin/vmax simultaneously is deprecated since 3.3 and will become an error two minor releases later. Please pass vmin/vmax directly to the norm when creating it.\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 540x360 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "image/png": { | |
| "height": 330, | |
| "width": 475 | |
| } | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "shap.dependence_plot(\"salary\", shap_cat, X_test, feature_names=X_test.columns)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "Passing the fontdict parameter of _set_ticklabels() positionally is deprecated since Matplotlib 3.3; the parameter will become keyword-only two minor releases later.\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 540x360 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "image/png": { | |
| "height": 342, | |
| "width": 486 | |
| } | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "shap.dependence_plot(\"position\", shap_cat, X_test, feature_names=X_test.columns)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 540x360 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "image/png": { | |
| "height": 330, | |
| "width": 495 | |
| } | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "shap.dependence_plot(\"opp_max\", shap_cat, X_test, feature_names=X_test.columns)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "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>season</th>\n", | |
| " <th>week</th>\n", | |
| " <th>name</th>\n", | |
| " <th>position</th>\n", | |
| " <th>team</th>\n", | |
| " <th>opp</th>\n", | |
| " <th>catboost</th>\n", | |
| " <th>rank</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>33172</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Christian McCaffrey</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>24.6</td>\n", | |
| " <td>1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33019</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Lamar Jackson</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>23.1</td>\n", | |
| " <td>2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33047</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Patrick Mahomes II</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>21.8</td>\n", | |
| " <td>3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33200</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Drew Brees</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>21.0</td>\n", | |
| " <td>4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33297</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tom Brady</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>20.1</td>\n", | |
| " <td>5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33077</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Ezekiel Elliott</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>20.0</td>\n", | |
| " <td>6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33076</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Dak Prescott</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>19.9</td>\n", | |
| " <td>7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32962</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Carson Wentz</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>19.8</td>\n", | |
| " <td>8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32949</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Josh Allen</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>19.6</td>\n", | |
| " <td>10</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33241</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Russell Wilson</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>19.6</td>\n", | |
| " <td>10</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33255</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Matt Ryan</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>19.6</td>\n", | |
| " <td>10</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32936</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Ben Roethlisberger</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>19.4</td>\n", | |
| " <td>12</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33208</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Michael Thomas</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>19.3</td>\n", | |
| " <td>13</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33142</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Aaron Rodgers</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>19.0</td>\n", | |
| " <td>14</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33156</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Derek Carr</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>18.8</td>\n", | |
| " <td>15</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33270</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Gardner Minshew</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>18.8</td>\n", | |
| " <td>15</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33171</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Teddy Bridgewater</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>18.7</td>\n", | |
| " <td>17</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33366</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Deshaun Watson</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>18.7</td>\n", | |
| " <td>17</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33115</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Ryan Tannehill</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>18.5</td>\n", | |
| " <td>19</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33228</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jared Goff</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>18.5</td>\n", | |
| " <td>19</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32975</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jimmy Garoppolo</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>SF</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>18.3</td>\n", | |
| " <td>22</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33004</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Cam Newton</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>18.3</td>\n", | |
| " <td>22</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33185</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Kirk Cousins</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>18.3</td>\n", | |
| " <td>22</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33061</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Joe Burrow</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>18.2</td>\n", | |
| " <td>25</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33089</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Drew Lock</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>18.2</td>\n", | |
| " <td>25</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33129</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Matthew Stafford</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>18.2</td>\n", | |
| " <td>25</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33116</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Derrick Henry</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>18.0</td>\n", | |
| " <td>27</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33103</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tyrod Taylor</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>17.9</td>\n", | |
| " <td>29</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33152</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Davante Adams</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>17.9</td>\n", | |
| " <td>29</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33186</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Dalvin Cook</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>17.9</td>\n", | |
| " <td>29</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33214</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Daniel Jones</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>17.6</td>\n", | |
| " <td>31</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33054</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tyreek Hill</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>17.5</td>\n", | |
| " <td>32</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33282</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Baker Mayfield</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>17.4</td>\n", | |
| " <td>33</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32989</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Mitchell Trubisky</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>17.0</td>\n", | |
| " <td>34</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33052</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Travis Kelce</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>17.0</td>\n", | |
| " <td>34</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33033</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Philip Rivers</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>16.7</td>\n", | |
| " <td>36</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33215</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Saquon Barkley</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>16.7</td>\n", | |
| " <td>36</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33325</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Sam Darnold</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>16.5</td>\n", | |
| " <td>38</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33082</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Amari Cooper</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>16.1</td>\n", | |
| " <td>39</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33110</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Keenan Allen</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>16.1</td>\n", | |
| " <td>39</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33144</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Aaron Jones</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>15.9</td>\n", | |
| " <td>41</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33202</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Alvin Kamara</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>15.9</td>\n", | |
| " <td>41</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33178</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>D.J. Moore</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>15.8</td>\n", | |
| " <td>43</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33263</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Julio Jones</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>15.8</td>\n", | |
| " <td>43</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33104</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Austin Ekeler</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>15.7</td>\n", | |
| " <td>46</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33305</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Chris Godwin</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>15.7</td>\n", | |
| " <td>46</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33355</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Dwayne Haskins</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>15.7</td>\n", | |
| " <td>46</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33048</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Clyde Edwards-Helaire</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>15.6</td>\n", | |
| " <td>49</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33194</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Adam Thielen</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>15.6</td>\n", | |
| " <td>49</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33311</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Kyler Murray</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>SF</td>\n", | |
| " <td>15.6</td>\n", | |
| " <td>49</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33306</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Mike Evans</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>15.5</td>\n", | |
| " <td>51</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33062</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Joe Mixon</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>15.3</td>\n", | |
| " <td>52</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33123</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>A.J. Brown</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>15.3</td>\n", | |
| " <td>52</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33157</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Josh Jacobs</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>15.1</td>\n", | |
| " <td>54</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32943</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>JuJu Smith-Schuster</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>14.9</td>\n", | |
| " <td>55</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32955</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Stefon Diggs</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>14.8</td>\n", | |
| " <td>56</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32981</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>George Kittle</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>SF</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>14.8</td>\n", | |
| " <td>56</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32937</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>James Conner</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>14.7</td>\n", | |
| " <td>60</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33235</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Robert Woods</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>14.7</td>\n", | |
| " <td>60</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33236</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Cooper Kupp</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>14.7</td>\n", | |
| " <td>60</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33250</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tyler Lockett</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>14.7</td>\n", | |
| " <td>60</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33276</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>D.J. Chark</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>14.7</td>\n", | |
| " <td>60</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32997</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Allen Robinson</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>14.5</td>\n", | |
| " <td>63</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33013</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Julian Edelman</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>14.4</td>\n", | |
| " <td>64</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33025</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Mark Andrews</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>14.3</td>\n", | |
| " <td>65</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33006</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>James White</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>14.0</td>\n", | |
| " <td>66</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33068</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tyler Boyd</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>13.8</td>\n", | |
| " <td>67</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33223</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Sterling Shepard</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>13.7</td>\n", | |
| " <td>68</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32966</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Zach Ertz</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>13.5</td>\n", | |
| " <td>70</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33161</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Darren Waller</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>13.5</td>\n", | |
| " <td>70</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33283</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Nick Chubb</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>13.5</td>\n", | |
| " <td>70</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33298</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Leonard Fournette</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>13.5</td>\n", | |
| " <td>70</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33367</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>David Johnson</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>13.4</td>\n", | |
| " <td>73</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33372</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Will Fuller</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>13.4</td>\n", | |
| " <td>73</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33206</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jared Cook</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>13.3</td>\n", | |
| " <td>75</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32990</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>David Montgomery</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>13.1</td>\n", | |
| " <td>77</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33319</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>DeAndre Hopkins</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>SF</td>\n", | |
| " <td>13.1</td>\n", | |
| " <td>77</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33361</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Terry McLaurin</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>13.1</td>\n", | |
| " <td>77</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33313</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Kenyan Drake</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>SF</td>\n", | |
| " <td>13.0</td>\n", | |
| " <td>79</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33090</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Melvin Gordon</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>12.8</td>\n", | |
| " <td>80</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33091</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Phillip Lindsay</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>12.8</td>\n", | |
| " <td>80</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33069</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>A.J. Green</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>12.7</td>\n", | |
| " <td>83</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33242</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Chris Carson</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>12.7</td>\n", | |
| " <td>83</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33251</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>D.K. Metcalf</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>12.7</td>\n", | |
| " <td>83</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33041</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>T.Y. Hilton</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>12.6</td>\n", | |
| " <td>85</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33083</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Michael Gallup</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>12.3</td>\n", | |
| " <td>88</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33256</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Todd Gurley</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>12.3</td>\n", | |
| " <td>88</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33264</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Calvin Ridley</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>12.3</td>\n", | |
| " <td>88</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33291</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Odell Beckham Jr.</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>12.3</td>\n", | |
| " <td>88</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33292</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jarvis Landry</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>12.3</td>\n", | |
| " <td>88</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33362</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Steven Sims Jr.</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>12.3</td>\n", | |
| " <td>88</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33229</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Cam Akers</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>12.2</td>\n", | |
| " <td>92</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33107</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Hunter Henry</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>12.1</td>\n", | |
| " <td>93</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33035</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jonathan Taylor</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>12.0</td>\n", | |
| " <td>94</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33209</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Emmanuel Sanders</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>12.0</td>\n", | |
| " <td>94</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33021</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Mark Ingram</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>11.9</td>\n", | |
| " <td>96</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33153</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Allen Lazard</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>11.9</td>\n", | |
| " <td>96</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32956</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>John Brown</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>11.8</td>\n", | |
| " <td>98</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33326</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Le'Veon Bell</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>11.7</td>\n", | |
| " <td>99</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33349</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>DeVante Parker</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>11.7</td>\n", | |
| " <td>99</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33136</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Marvin Jones</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>11.6</td>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32950</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Devin Singletary</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>11.5</td>\n", | |
| " <td>103</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32976</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Raheem Mostert</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>SF</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>11.5</td>\n", | |
| " <td>103</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33232</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tyler Higbee</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>11.5</td>\n", | |
| " <td>103</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33027</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Marquise Brown</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>11.4</td>\n", | |
| " <td>105</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33111</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Mike Williams</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>11.4</td>\n", | |
| " <td>105</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33333</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jamison Crowder</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>11.3</td>\n", | |
| " <td>107</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33373</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Brandin Cooks</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>11.3</td>\n", | |
| " <td>107</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33299</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Ronald Jones</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>11.2</td>\n", | |
| " <td>109</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33022</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>J.K. Dobbins</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>11.1</td>\n", | |
| " <td>110</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33301</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Rob Gronkowski</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>11.1</td>\n", | |
| " <td>110</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32984</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Kendrick Bourne</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>SF</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>11.0</td>\n", | |
| " <td>112</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32963</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Boston Scott</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>10.8</td>\n", | |
| " <td>114</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33036</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Marlon Mack</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>10.8</td>\n", | |
| " <td>114</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33334</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Breshad Perriman</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>10.8</td>\n", | |
| " <td>114</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32969</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>DeSean Jackson</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>10.6</td>\n", | |
| " <td>117</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33079</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Blake Jarwin</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>10.6</td>\n", | |
| " <td>117</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33165</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Henry Ruggs III</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>10.6</td>\n", | |
| " <td>117</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33219</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Evan Engram</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>10.6</td>\n", | |
| " <td>117</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32998</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Anthony Miller</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>10.5</td>\n", | |
| " <td>120</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33224</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Darius Slayton</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>10.5</td>\n", | |
| " <td>120</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33137</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Danny Amendola</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>10.4</td>\n", | |
| " <td>122</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33230</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Darrell Henderson</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>10.4</td>\n", | |
| " <td>122</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32991</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tarik Cohen</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>10.3</td>\n", | |
| " <td>125</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33277</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Laviska Shenault Jr.</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>10.3</td>\n", | |
| " <td>125</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33287</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Austin Hooper</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>10.3</td>\n", | |
| " <td>125</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32941</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Eric Ebron</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>10.2</td>\n", | |
| " <td>127</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33339</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Ryan Fitzpatrick</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>10.2</td>\n", | |
| " <td>127</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32957</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Cole Beasley</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>10.1</td>\n", | |
| " <td>129</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33130</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>D'Andre Swift</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>10.1</td>\n", | |
| " <td>129</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33014</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>N'Keal Harry</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>10.0</td>\n", | |
| " <td>131</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33007</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Sony Michel</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>9.9</td>\n", | |
| " <td>133</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33093</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Noah Fant</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>9.9</td>\n", | |
| " <td>133</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33195</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Justin Jefferson</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>9.9</td>\n", | |
| " <td>133</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33028</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Devin Duvernay</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>9.8</td>\n", | |
| " <td>135</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33340</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tua Tagovailoa</td>\n", | |
| " <td>QB</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>9.8</td>\n", | |
| " <td>135</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33078</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tony Pollard</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>9.6</td>\n", | |
| " <td>137</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33346</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Mike Gesicki</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>9.6</td>\n", | |
| " <td>137</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33134</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>T.J. Hockenson</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>9.5</td>\n", | |
| " <td>140</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33341</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jordan Howard</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>9.5</td>\n", | |
| " <td>140</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33374</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Randall Cobb</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>9.5</td>\n", | |
| " <td>140</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32948</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Buffalo</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>9.4</td>\n", | |
| " <td>143</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33342</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Matt Breida</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>9.4</td>\n", | |
| " <td>143</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33368</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Duke Johnson</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>9.4</td>\n", | |
| " <td>143</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33375</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Kenny Stills</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>9.4</td>\n", | |
| " <td>143</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32974</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>San Francisco</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>SF</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>9.3</td>\n", | |
| " <td>147</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33231</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Malcolm Brown</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>LAR</td>\n", | |
| " <td>DAL</td>\n", | |
| " <td>9.3</td>\n", | |
| " <td>147</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33284</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Kareem Hunt</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>9.3</td>\n", | |
| " <td>147</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32961</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Philadelphia</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>9.2</td>\n", | |
| " <td>150</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33097</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jerry Jeudy</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>9.2</td>\n", | |
| " <td>150</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33158</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jalen Richard</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>9.2</td>\n", | |
| " <td>150</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33320</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Christian Kirk</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>SF</td>\n", | |
| " <td>9.2</td>\n", | |
| " <td>150</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32938</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Benny Snell</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>9.1</td>\n", | |
| " <td>155</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33042</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Michael Pittman Jr.</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>9.1</td>\n", | |
| " <td>155</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33120</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jonnu Smith</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>9.1</td>\n", | |
| " <td>155</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33154</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Marquez Valdes-Scantling</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>9.1</td>\n", | |
| " <td>155</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33179</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Robby Anderson</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>9.1</td>\n", | |
| " <td>155</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33260</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Hayden Hurst</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>9.1</td>\n", | |
| " <td>155</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32935</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Pittsburgh</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>9.0</td>\n", | |
| " <td>160</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32951</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Zack Moss</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>9.0</td>\n", | |
| " <td>160</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33243</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Carlos Hyde</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>9.0</td>\n", | |
| " <td>160</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33055</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Sammy Watkins</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>KC</td>\n", | |
| " <td>HOU</td>\n", | |
| " <td>8.9</td>\n", | |
| " <td>163</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33145</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>AJ Dillon</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>8.9</td>\n", | |
| " <td>163</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33166</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Hunter Renfrow</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>8.9</td>\n", | |
| " <td>163</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32953</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Dawson Knox</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>BUF</td>\n", | |
| " <td>NYJ</td>\n", | |
| " <td>8.8</td>\n", | |
| " <td>166</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33003</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>New England</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>8.8</td>\n", | |
| " <td>166</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33105</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Justin Jackson</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>8.8</td>\n", | |
| " <td>166</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33131</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Adrian Peterson</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>8.8</td>\n", | |
| " <td>166</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32967</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Dallas Goedert</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>8.7</td>\n", | |
| " <td>170</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33011</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Devin Asiasi</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>8.7</td>\n", | |
| " <td>170</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33018</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Baltimore</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>8.7</td>\n", | |
| " <td>170</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33359</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jeremy Sprinkle</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>8.7</td>\n", | |
| " <td>170</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32970</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jalen Reagor</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>8.6</td>\n", | |
| " <td>177</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33132</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Kerryon Johnson</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>8.6</td>\n", | |
| " <td>177</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33271</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Bruce Miller</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>8.6</td>\n", | |
| " <td>177</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33272</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Chris Thompson</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>8.6</td>\n", | |
| " <td>177</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33273</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>James Robinson</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>8.6</td>\n", | |
| " <td>177</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33350</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Preston Williams</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>MIA</td>\n", | |
| " <td>NE</td>\n", | |
| " <td>8.6</td>\n", | |
| " <td>177</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33356</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Peyton Barber</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>8.6</td>\n", | |
| " <td>177</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33357</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>J.D. McKissic</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>8.6</td>\n", | |
| " <td>177</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33358</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Antonio Gibson</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>8.6</td>\n", | |
| " <td>177</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33039</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jack Doyle</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>8.5</td>\n", | |
| " <td>182</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33070</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tee Higgins</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>8.5</td>\n", | |
| " <td>182</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33029</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Miles Boykin</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>BAL</td>\n", | |
| " <td>CLE</td>\n", | |
| " <td>8.4</td>\n", | |
| " <td>185</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33063</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Giovani Bernard</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>8.4</td>\n", | |
| " <td>185</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33203</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Latavius Murray</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>NO</td>\n", | |
| " <td>TB</td>\n", | |
| " <td>8.4</td>\n", | |
| " <td>185</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33278</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Chris Conley</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>8.4</td>\n", | |
| " <td>185</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33246</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Greg Olsen</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>SEA</td>\n", | |
| " <td>ATL</td>\n", | |
| " <td>8.3</td>\n", | |
| " <td>188</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33180</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Curtis Samuel</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>CAR</td>\n", | |
| " <td>LVR</td>\n", | |
| " <td>8.2</td>\n", | |
| " <td>189</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33279</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Keelan Cole</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>8.2</td>\n", | |
| " <td>189</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32971</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Greg Ward</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>PHI</td>\n", | |
| " <td>WSH</td>\n", | |
| " <td>8.1</td>\n", | |
| " <td>195</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32988</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Chicago</td>\n", | |
| " <td>DEF</td>\n", | |
| " <td>CHI</td>\n", | |
| " <td>DET</td>\n", | |
| " <td>8.1</td>\n", | |
| " <td>195</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33043</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Zach Pascal</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>IND</td>\n", | |
| " <td>JAX</td>\n", | |
| " <td>8.1</td>\n", | |
| " <td>195</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33092</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Royce Freeman</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>8.1</td>\n", | |
| " <td>195</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33098</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Tim Patrick</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>DEN</td>\n", | |
| " <td>TEN</td>\n", | |
| " <td>8.1</td>\n", | |
| " <td>195</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33106</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Joshua Kelley</td>\n", | |
| " <td>RB</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>8.1</td>\n", | |
| " <td>195</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33112</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Joe Reed</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>LAC</td>\n", | |
| " <td>CIN</td>\n", | |
| " <td>8.1</td>\n", | |
| " <td>195</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33148</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Jace Sternberger</td>\n", | |
| " <td>TE</td>\n", | |
| " <td>GB</td>\n", | |
| " <td>MIN</td>\n", | |
| " <td>8.1</td>\n", | |
| " <td>195</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33321</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>Larry Fitzgerald</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>ARI</td>\n", | |
| " <td>SF</td>\n", | |
| " <td>8.1</td>\n", | |
| " <td>195</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32944</th>\n", | |
| " <td>2020</td>\n", | |
| " <td>1</td>\n", | |
| " <td>James Washington</td>\n", | |
| " <td>WR</td>\n", | |
| " <td>PIT</td>\n", | |
| " <td>NYG</td>\n", | |
| " <td>8.0</td>\n", | |
| " <td>200</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " season week name position team opp catboost \\\n", | |
| "33172 2020 1 Christian McCaffrey RB CAR LVR 24.6 \n", | |
| "33019 2020 1 Lamar Jackson QB BAL CLE 23.1 \n", | |
| "33047 2020 1 Patrick Mahomes II QB KC HOU 21.8 \n", | |
| "33200 2020 1 Drew Brees QB NO TB 21.0 \n", | |
| "33297 2020 1 Tom Brady QB TB NO 20.1 \n", | |
| "33077 2020 1 Ezekiel Elliott RB DAL LAR 20.0 \n", | |
| "33076 2020 1 Dak Prescott QB DAL LAR 19.9 \n", | |
| "32962 2020 1 Carson Wentz QB PHI WSH 19.8 \n", | |
| "32949 2020 1 Josh Allen QB BUF NYJ 19.6 \n", | |
| "33241 2020 1 Russell Wilson QB SEA ATL 19.6 \n", | |
| "33255 2020 1 Matt Ryan QB ATL SEA 19.6 \n", | |
| "32936 2020 1 Ben Roethlisberger QB PIT NYG 19.4 \n", | |
| "33208 2020 1 Michael Thomas WR NO TB 19.3 \n", | |
| "33142 2020 1 Aaron Rodgers QB GB MIN 19.0 \n", | |
| "33156 2020 1 Derek Carr QB LVR CAR 18.8 \n", | |
| "33270 2020 1 Gardner Minshew QB JAX IND 18.8 \n", | |
| "33171 2020 1 Teddy Bridgewater QB CAR LVR 18.7 \n", | |
| "33366 2020 1 Deshaun Watson QB HOU KC 18.7 \n", | |
| "33115 2020 1 Ryan Tannehill QB TEN DEN 18.5 \n", | |
| "33228 2020 1 Jared Goff QB LAR DAL 18.5 \n", | |
| "32975 2020 1 Jimmy Garoppolo QB SF ARI 18.3 \n", | |
| "33004 2020 1 Cam Newton QB NE MIA 18.3 \n", | |
| "33185 2020 1 Kirk Cousins QB MIN GB 18.3 \n", | |
| "33061 2020 1 Joe Burrow QB CIN LAC 18.2 \n", | |
| "33089 2020 1 Drew Lock QB DEN TEN 18.2 \n", | |
| "33129 2020 1 Matthew Stafford QB DET CHI 18.2 \n", | |
| "33116 2020 1 Derrick Henry RB TEN DEN 18.0 \n", | |
| "33103 2020 1 Tyrod Taylor QB LAC CIN 17.9 \n", | |
| "33152 2020 1 Davante Adams WR GB MIN 17.9 \n", | |
| "33186 2020 1 Dalvin Cook RB MIN GB 17.9 \n", | |
| "33214 2020 1 Daniel Jones QB NYG PIT 17.6 \n", | |
| "33054 2020 1 Tyreek Hill WR KC HOU 17.5 \n", | |
| "33282 2020 1 Baker Mayfield QB CLE BAL 17.4 \n", | |
| "32989 2020 1 Mitchell Trubisky QB CHI DET 17.0 \n", | |
| "33052 2020 1 Travis Kelce TE KC HOU 17.0 \n", | |
| "33033 2020 1 Philip Rivers QB IND JAX 16.7 \n", | |
| "33215 2020 1 Saquon Barkley RB NYG PIT 16.7 \n", | |
| "33325 2020 1 Sam Darnold QB NYJ BUF 16.5 \n", | |
| "33082 2020 1 Amari Cooper WR DAL LAR 16.1 \n", | |
| "33110 2020 1 Keenan Allen WR LAC CIN 16.1 \n", | |
| "33144 2020 1 Aaron Jones RB GB MIN 15.9 \n", | |
| "33202 2020 1 Alvin Kamara RB NO TB 15.9 \n", | |
| "33178 2020 1 D.J. Moore WR CAR LVR 15.8 \n", | |
| "33263 2020 1 Julio Jones WR ATL SEA 15.8 \n", | |
| "33104 2020 1 Austin Ekeler RB LAC CIN 15.7 \n", | |
| "33305 2020 1 Chris Godwin WR TB NO 15.7 \n", | |
| "33355 2020 1 Dwayne Haskins QB WSH PHI 15.7 \n", | |
| "33048 2020 1 Clyde Edwards-Helaire RB KC HOU 15.6 \n", | |
| "33194 2020 1 Adam Thielen WR MIN GB 15.6 \n", | |
| "33311 2020 1 Kyler Murray QB ARI SF 15.6 \n", | |
| "33306 2020 1 Mike Evans WR TB NO 15.5 \n", | |
| "33062 2020 1 Joe Mixon RB CIN LAC 15.3 \n", | |
| "33123 2020 1 A.J. Brown WR TEN DEN 15.3 \n", | |
| "33157 2020 1 Josh Jacobs RB LVR CAR 15.1 \n", | |
| "32943 2020 1 JuJu Smith-Schuster WR PIT NYG 14.9 \n", | |
| "32955 2020 1 Stefon Diggs WR BUF NYJ 14.8 \n", | |
| "32981 2020 1 George Kittle TE SF ARI 14.8 \n", | |
| "32937 2020 1 James Conner RB PIT NYG 14.7 \n", | |
| "33235 2020 1 Robert Woods WR LAR DAL 14.7 \n", | |
| "33236 2020 1 Cooper Kupp WR LAR DAL 14.7 \n", | |
| "33250 2020 1 Tyler Lockett WR SEA ATL 14.7 \n", | |
| "33276 2020 1 D.J. Chark WR JAX IND 14.7 \n", | |
| "32997 2020 1 Allen Robinson WR CHI DET 14.5 \n", | |
| "33013 2020 1 Julian Edelman WR NE MIA 14.4 \n", | |
| "33025 2020 1 Mark Andrews TE BAL CLE 14.3 \n", | |
| "33006 2020 1 James White RB NE MIA 14.0 \n", | |
| "33068 2020 1 Tyler Boyd WR CIN LAC 13.8 \n", | |
| "33223 2020 1 Sterling Shepard WR NYG PIT 13.7 \n", | |
| "32966 2020 1 Zach Ertz TE PHI WSH 13.5 \n", | |
| "33161 2020 1 Darren Waller TE LVR CAR 13.5 \n", | |
| "33283 2020 1 Nick Chubb RB CLE BAL 13.5 \n", | |
| "33298 2020 1 Leonard Fournette RB TB NO 13.5 \n", | |
| "33367 2020 1 David Johnson RB HOU KC 13.4 \n", | |
| "33372 2020 1 Will Fuller WR HOU KC 13.4 \n", | |
| "33206 2020 1 Jared Cook TE NO TB 13.3 \n", | |
| "32990 2020 1 David Montgomery RB CHI DET 13.1 \n", | |
| "33319 2020 1 DeAndre Hopkins WR ARI SF 13.1 \n", | |
| "33361 2020 1 Terry McLaurin WR WSH PHI 13.1 \n", | |
| "33313 2020 1 Kenyan Drake RB ARI SF 13.0 \n", | |
| "33090 2020 1 Melvin Gordon RB DEN TEN 12.8 \n", | |
| "33091 2020 1 Phillip Lindsay RB DEN TEN 12.8 \n", | |
| "33069 2020 1 A.J. Green WR CIN LAC 12.7 \n", | |
| "33242 2020 1 Chris Carson RB SEA ATL 12.7 \n", | |
| "33251 2020 1 D.K. Metcalf WR SEA ATL 12.7 \n", | |
| "33041 2020 1 T.Y. Hilton WR IND JAX 12.6 \n", | |
| "33083 2020 1 Michael Gallup WR DAL LAR 12.3 \n", | |
| "33256 2020 1 Todd Gurley RB ATL SEA 12.3 \n", | |
| "33264 2020 1 Calvin Ridley WR ATL SEA 12.3 \n", | |
| "33291 2020 1 Odell Beckham Jr. WR CLE BAL 12.3 \n", | |
| "33292 2020 1 Jarvis Landry WR CLE BAL 12.3 \n", | |
| "33362 2020 1 Steven Sims Jr. WR WSH PHI 12.3 \n", | |
| "33229 2020 1 Cam Akers RB LAR DAL 12.2 \n", | |
| "33107 2020 1 Hunter Henry TE LAC CIN 12.1 \n", | |
| "33035 2020 1 Jonathan Taylor RB IND JAX 12.0 \n", | |
| "33209 2020 1 Emmanuel Sanders WR NO TB 12.0 \n", | |
| "33021 2020 1 Mark Ingram RB BAL CLE 11.9 \n", | |
| "33153 2020 1 Allen Lazard WR GB MIN 11.9 \n", | |
| "32956 2020 1 John Brown WR BUF NYJ 11.8 \n", | |
| "33326 2020 1 Le'Veon Bell RB NYJ BUF 11.7 \n", | |
| "33349 2020 1 DeVante Parker WR MIA NE 11.7 \n", | |
| "33136 2020 1 Marvin Jones WR DET CHI 11.6 \n", | |
| "32950 2020 1 Devin Singletary RB BUF NYJ 11.5 \n", | |
| "32976 2020 1 Raheem Mostert RB SF ARI 11.5 \n", | |
| "33232 2020 1 Tyler Higbee TE LAR DAL 11.5 \n", | |
| "33027 2020 1 Marquise Brown WR BAL CLE 11.4 \n", | |
| "33111 2020 1 Mike Williams WR LAC CIN 11.4 \n", | |
| "33333 2020 1 Jamison Crowder WR NYJ BUF 11.3 \n", | |
| "33373 2020 1 Brandin Cooks WR HOU KC 11.3 \n", | |
| "33299 2020 1 Ronald Jones RB TB NO 11.2 \n", | |
| "33022 2020 1 J.K. Dobbins RB BAL CLE 11.1 \n", | |
| "33301 2020 1 Rob Gronkowski TE TB NO 11.1 \n", | |
| "32984 2020 1 Kendrick Bourne WR SF ARI 11.0 \n", | |
| "32963 2020 1 Boston Scott RB PHI WSH 10.8 \n", | |
| "33036 2020 1 Marlon Mack RB IND JAX 10.8 \n", | |
| "33334 2020 1 Breshad Perriman WR NYJ BUF 10.8 \n", | |
| "32969 2020 1 DeSean Jackson WR PHI WSH 10.6 \n", | |
| "33079 2020 1 Blake Jarwin TE DAL LAR 10.6 \n", | |
| "33165 2020 1 Henry Ruggs III WR LVR CAR 10.6 \n", | |
| "33219 2020 1 Evan Engram TE NYG PIT 10.6 \n", | |
| "32998 2020 1 Anthony Miller WR CHI DET 10.5 \n", | |
| "33224 2020 1 Darius Slayton WR NYG PIT 10.5 \n", | |
| "33137 2020 1 Danny Amendola WR DET CHI 10.4 \n", | |
| "33230 2020 1 Darrell Henderson RB LAR DAL 10.4 \n", | |
| "32991 2020 1 Tarik Cohen RB CHI DET 10.3 \n", | |
| "33277 2020 1 Laviska Shenault Jr. WR JAX IND 10.3 \n", | |
| "33287 2020 1 Austin Hooper TE CLE BAL 10.3 \n", | |
| "32941 2020 1 Eric Ebron TE PIT NYG 10.2 \n", | |
| "33339 2020 1 Ryan Fitzpatrick QB MIA NE 10.2 \n", | |
| "32957 2020 1 Cole Beasley WR BUF NYJ 10.1 \n", | |
| "33130 2020 1 D'Andre Swift RB DET CHI 10.1 \n", | |
| "33014 2020 1 N'Keal Harry WR NE MIA 10.0 \n", | |
| "33007 2020 1 Sony Michel RB NE MIA 9.9 \n", | |
| "33093 2020 1 Noah Fant TE DEN TEN 9.9 \n", | |
| "33195 2020 1 Justin Jefferson WR MIN GB 9.9 \n", | |
| "33028 2020 1 Devin Duvernay WR BAL CLE 9.8 \n", | |
| "33340 2020 1 Tua Tagovailoa QB MIA NE 9.8 \n", | |
| "33078 2020 1 Tony Pollard RB DAL LAR 9.6 \n", | |
| "33346 2020 1 Mike Gesicki TE MIA NE 9.6 \n", | |
| "33134 2020 1 T.J. Hockenson TE DET CHI 9.5 \n", | |
| "33341 2020 1 Jordan Howard RB MIA NE 9.5 \n", | |
| "33374 2020 1 Randall Cobb WR HOU KC 9.5 \n", | |
| "32948 2020 1 Buffalo DEF BUF NYJ 9.4 \n", | |
| "33342 2020 1 Matt Breida RB MIA NE 9.4 \n", | |
| "33368 2020 1 Duke Johnson RB HOU KC 9.4 \n", | |
| "33375 2020 1 Kenny Stills WR HOU KC 9.4 \n", | |
| "32974 2020 1 San Francisco DEF SF ARI 9.3 \n", | |
| "33231 2020 1 Malcolm Brown RB LAR DAL 9.3 \n", | |
| "33284 2020 1 Kareem Hunt RB CLE BAL 9.3 \n", | |
| "32961 2020 1 Philadelphia DEF PHI WSH 9.2 \n", | |
| "33097 2020 1 Jerry Jeudy WR DEN TEN 9.2 \n", | |
| "33158 2020 1 Jalen Richard RB LVR CAR 9.2 \n", | |
| "33320 2020 1 Christian Kirk WR ARI SF 9.2 \n", | |
| "32938 2020 1 Benny Snell RB PIT NYG 9.1 \n", | |
| "33042 2020 1 Michael Pittman Jr. WR IND JAX 9.1 \n", | |
| "33120 2020 1 Jonnu Smith TE TEN DEN 9.1 \n", | |
| "33154 2020 1 Marquez Valdes-Scantling WR GB MIN 9.1 \n", | |
| "33179 2020 1 Robby Anderson WR CAR LVR 9.1 \n", | |
| "33260 2020 1 Hayden Hurst TE ATL SEA 9.1 \n", | |
| "32935 2020 1 Pittsburgh DEF PIT NYG 9.0 \n", | |
| "32951 2020 1 Zack Moss RB BUF NYJ 9.0 \n", | |
| "33243 2020 1 Carlos Hyde RB SEA ATL 9.0 \n", | |
| "33055 2020 1 Sammy Watkins WR KC HOU 8.9 \n", | |
| "33145 2020 1 AJ Dillon RB GB MIN 8.9 \n", | |
| "33166 2020 1 Hunter Renfrow WR LVR CAR 8.9 \n", | |
| "32953 2020 1 Dawson Knox TE BUF NYJ 8.8 \n", | |
| "33003 2020 1 New England DEF NE MIA 8.8 \n", | |
| "33105 2020 1 Justin Jackson RB LAC CIN 8.8 \n", | |
| "33131 2020 1 Adrian Peterson RB DET CHI 8.8 \n", | |
| "32967 2020 1 Dallas Goedert TE PHI WSH 8.7 \n", | |
| "33011 2020 1 Devin Asiasi TE NE MIA 8.7 \n", | |
| "33018 2020 1 Baltimore DEF BAL CLE 8.7 \n", | |
| "33359 2020 1 Jeremy Sprinkle TE WSH PHI 8.7 \n", | |
| "32970 2020 1 Jalen Reagor WR PHI WSH 8.6 \n", | |
| "33132 2020 1 Kerryon Johnson RB DET CHI 8.6 \n", | |
| "33271 2020 1 Bruce Miller RB JAX IND 8.6 \n", | |
| "33272 2020 1 Chris Thompson RB JAX IND 8.6 \n", | |
| "33273 2020 1 James Robinson RB JAX IND 8.6 \n", | |
| "33350 2020 1 Preston Williams WR MIA NE 8.6 \n", | |
| "33356 2020 1 Peyton Barber RB WSH PHI 8.6 \n", | |
| "33357 2020 1 J.D. McKissic RB WSH PHI 8.6 \n", | |
| "33358 2020 1 Antonio Gibson RB WSH PHI 8.6 \n", | |
| "33039 2020 1 Jack Doyle TE IND JAX 8.5 \n", | |
| "33070 2020 1 Tee Higgins WR CIN LAC 8.5 \n", | |
| " |
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