Created
February 6, 2021 17:51
-
-
Save thepycoach/c682c9cc74ab61c14e9c4f5e0fee78c9 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| def calculate_real_odds(home_team, away_team, df_past_years, market): | |
| df_past_years = df_past_years.assign(total_goals=df_past_years['home_goals'] + df_past_years['away_goals']) | |
| df_past_years['Over/Under'] = np.where(df_past_years['total_goals']>2, 'Over 2.5', 'Under 2.5') | |
| dict_markets = {'Over/Under':['Over 2.5', 'Under 2.5']} | |
| df_real_odds = df_past_years[(df_past_years['home_team']==home_team)|(df_past_years['away_team']==away_team)].groupby(market).count()[['total_goals']] | |
| option1 = df_real_odds.loc[dict_markets[market][0], 'total_goals'] | |
| option2 = df_real_odds.loc[dict_markets[market][1], 'total_goals'] | |
| percentage_odds_over = option1 / (option1 + option2) | |
| real_odds = round(1/percentage_odds_over, 2) | |
| return real_odds |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment