Enhance player prop analysis by introducing 'over_adj' and 'under_adj' adjustments in Bet_check calculations. This update improves the accuracy of betting suggestions by factoring in adjusted outcomes based on player performance metrics. Refined DataFrame calculations ensure better decision-making in simulations.

app.py

@@ -594,6 +594,8 @@ with tab6:
                         players_only['Prop'] = players_only['Player'].map(prop_dict)
                         players_only['Trending Over'] = players_only['Player'].map(trending_over_dict)
                         players_only['Trending Under'] = players_only['Player'].map(trending_under_dict)
+                        players_only['over_adj'] = np_where((players_only['Mean_Outcome'] - players_only['Prop']) > 0, 1, (players_only['Mean_Outcome'] / players_only['Prop']))
+                        players_only['under_adj'] = np_where((players_only['Prop'] - players_only['Mean_Outcome']) > 0, 1, (players_only['Prop'] / players_only['Mean_Outcome']))
                         players_only['poisson_var'] = players_only.apply(calculate_poisson, axis=1)
                         players_only['10%'] = overall_file.quantile(0.1, axis=1)
                         players_only['90%'] = overall_file.quantile(0.9, axis=1)
@@ -608,7 +610,7 @@ with tab6:
                         players_only = players_only[players_only['Mean_Outcome'] > 0]
                         players_only['Over_diff'] = players_only['Over%'] - players_only['Imp Over']
                         players_only['Under_diff'] = players_only['Under%'] - players_only['Imp Under']
-                        players_only['Bet_check'] = np.where(players_only['Over_diff'] > players_only['Under_diff'], players_only['Over_diff'] , players_only['Under_diff'])
+                        players_only['Bet_check'] = np.where(players_only['Over_diff'] > players_only['Under_diff'], players_only['Over_diff'] * players_only['over_adj'], players_only['Under_diff'] * players_only['under_adj'])
                         players_only['Bet_suggest'] = np.where(players_only['Over_diff'] > players_only['Under_diff'], "Over" , "Under")
                         players_only['Bet?'] = np.where(players_only['Bet_check'] >= players_only['prop_threshold'], players_only['Bet_suggest'], "No Bet")
                         players_only['Edge'] = players_only['Bet_check']
@@ -746,6 +748,8 @@ with tab6:
                     players_only['Prop'] = players_only['Player'].map(prop_dict)
                     players_only['Trending Over'] = players_only['Player'].map(trending_over_dict)
                     players_only['Trending Under'] = players_only['Player'].map(trending_under_dict)
+                    players_only['over_adj'] = np_where((players_only['Mean_Outcome'] - players_only['Prop']) > 0, 1, (players_only['Mean_Outcome'] / players_only['Prop']))
+                    players_only['under_adj'] = np_where((players_only['Prop'] - players_only['Mean_Outcome']) > 0, 1, (players_only['Prop'] / players_only['Mean_Outcome']))
                     players_only['poisson_var'] = players_only.apply(calculate_poisson, axis=1)
                     players_only['10%'] = overall_file.quantile(0.1, axis=1)
                     players_only['90%'] = overall_file.quantile(0.9, axis=1)
@@ -760,7 +764,7 @@ with tab6:
                     players_only = players_only[players_only['Mean_Outcome'] > 0]
                     players_only['Over_diff'] = players_only['Over%'] - players_only['Imp Over']
                     players_only['Under_diff'] = players_only['Under%'] - players_only['Imp Under']
-                    players_only['Bet_check'] = np.where(players_only['Over_diff'] > players_only['Under_diff'], players_only['Over_diff'] , players_only['Under_diff'])
+                    players_only['Bet_check'] = np.where(players_only['Over_diff'] > players_only['Under_diff'], players_only['Over_diff'] * players_only['over_adj'], players_only['Under_diff'] * players_only['under_adj'])
                     players_only['Bet_suggest'] = np.where(players_only['Over_diff'] > players_only['Under_diff'], "Over" , "Under")
                     players_only['Bet?'] = np.where(players_only['Bet_check'] >= players_only['prop_threshold'], players_only['Bet_suggest'], "No Bet")
                     players_only['Edge'] = players_only['Bet_check']