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NBA_Betting_Models

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James McCool commited on 16 days ago

Commit

0a08e64

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1 Parent(s): 68d4dce

fixed line 673

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Files changed (1) hide show

app.py +2 -2

app.py CHANGED Viewed

@@ -524,7 +524,7 @@ with tab5:
                                     players_only['Over'] = np_where(players_only['Prop'] <= 3, players_only['poisson_var'], prop_check[prop_check > 0].count(axis=1)/float(total_sims))
                                     players_only['Imp Over'] = players_only['Player'].map(over_dict)
                                     players_only['Over%'] = players_only[["Over", "Imp Over"]].mean(axis=1)
-                                    players_only['Under'] = np_where(overall_file['Prop'] <= 3, 1 - players_only['poisson_var'], prop_check[prop_check < 0].count(axis=1)/float(total_sims))
                                     players_only['Imp Under'] = players_only['Player'].map(under_dict)
                                     players_only['Under%'] = players_only[["Under", "Imp Under"]].mean(axis=1)
                                     players_only['Prop_avg'] = players_only['Prop'].mean() / 100
@@ -670,7 +670,7 @@ with tab5:
                                 players_only['Over'] = np_where(players_only['Prop'] <= 3, players_only['poisson_var'], prop_check[prop_check > 0].count(axis=1)/float(total_sims))
                                 players_only['Imp Over'] = players_only['Player'].map(over_dict)
                                 players_only['Over%'] = players_only[["Over", "Imp Over"]].mean(axis=1)
-                                players_only['Under'] = np_where(overall_file['Prop'] <= 3, 1 - players_only['poisson_var'], prop_check[prop_check < 0].count(axis=1)/float(total_sims))
                                 players_only['Imp Under'] = players_only['Player'].map(under_dict)
                                 players_only['Under%'] = players_only[["Under", "Imp Under"]].mean(axis=1)
                                 players_only['Prop_avg'] = players_only['Prop'].mean() / 100

                                     players_only['Over'] = np_where(players_only['Prop'] <= 3, players_only['poisson_var'], prop_check[prop_check > 0].count(axis=1)/float(total_sims))
                                     players_only['Imp Over'] = players_only['Player'].map(over_dict)
                                     players_only['Over%'] = players_only[["Over", "Imp Over"]].mean(axis=1)
+                                    players_only['Under'] = np_where(players_only['Prop'] <= 3, 1 - players_only['poisson_var'], prop_check[prop_check < 0].count(axis=1)/float(total_sims))
                                     players_only['Imp Under'] = players_only['Player'].map(under_dict)
                                     players_only['Under%'] = players_only[["Under", "Imp Under"]].mean(axis=1)
                                     players_only['Prop_avg'] = players_only['Prop'].mean() / 100
                                 players_only['Over'] = np_where(players_only['Prop'] <= 3, players_only['poisson_var'], prop_check[prop_check > 0].count(axis=1)/float(total_sims))
                                 players_only['Imp Over'] = players_only['Player'].map(over_dict)
                                 players_only['Over%'] = players_only[["Over", "Imp Over"]].mean(axis=1)
+                                players_only['Under'] = np_where(players_only['Prop'] <= 3, 1 - players_only['poisson_var'], prop_check[prop_check < 0].count(axis=1)/float(total_sims))
                                 players_only['Imp Under'] = players_only['Player'].map(under_dict)
                                 players_only['Under%'] = players_only[["Under", "Imp Under"]].mean(axis=1)
                                 players_only['Prop_avg'] = players_only['Prop'].mean() / 100