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| #picking columns | |
| df_system = df_filters[['home_team', 'away_team', 'goals', 'shorts_target', 'corners', | |
| 'real_odds_over', 'over2.5', 'real_odds_btts', 'btts']] | |
| #renaming columns | |
| df_system.rename(columns={'shorts_target':'SoT', 'corners':'C', 'goals':'G', 'over2.5':'OVER', | |
| 'btts':'BTTS', 'real_odds_over':'RO_OVER', 'real_odds_btts':'RO_BTTS'}, inplace=True) | |
| #extracting over2.5 and btts=True values | |
| df_system = df_system.assign(OVER = df_system['OVER'].str.extract(r'(.+)\n.+').astype(float)) | |
| df_system = df_system.assign(BTTS = df_system['BTTS'].str.extract(r'(.+)\n.+').astype(float)) | |
| #calculating value of bets | |
| df_system['V_OVER'] = df_system['OVER'] - df_system['RO_OVER'] | |
| df_system['V_BTTS'] = df_system['BTTS'] - df_system['RO_BTTS'] | |
| #sorting matches by value | |
| df_system.sort_values('V_OVER', ascending=False) |
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