risk_elimination_odds.py

import numpy as np
import pandas as pd
import requests

pd.set_option('display.float_format', lambda x: '%.8f' % x)

season = 2
day = 3

response = requests.get('https://collegefootballrisk.com/api/territories', params={'season': season, 'day': day})
territories = pd.read_json(response.text)
territories.head()
teams = set(list(territories['owner']))

odds = pd.DataFrame()

for team in teams:
    print(team)
    response = requests.get('https://collegefootballrisk.com/api/team/odds', params={'team': team, 'season': season, 'day': day})
    df = pd.read_json(response.text).query("territory != 'all'")
    df['team'] = team
    odds = pd.concat([odds, df])
    
odds['defeat_prob'] = 1 - odds['chance']
odds = odds[['team','defeat_prob']]
odds.groupby(['team']).prod().sort_values('defeat_prob', ascending=False)