Enhance ownership calculations in app.py by adding new columns for ownership metrics at each roster position. Implemented dupes calculation for FanDuel and DraftKings based on these metrics, improving the accuracy of player ownership analysis and contest lineup simulations.

app.py

@@ -552,16 +552,23 @@ with tab1:
                 Sim_Winner_Frame['unique_id'] = Sim_Winner_Frame['proj'].astype(str) + Sim_Winner_Frame['salary'].astype(str) + Sim_Winner_Frame['Team'].astype(str) + Sim_Winner_Frame['Secondary'].astype(str)
                 # Add percent rank columns for ownership at each roster position
                 dup_count_columns = ['CPT_Own_percent_rank', 'FLEX1_Own_percent_rank', 'FLEX2_Own_percent_rank', 'FLEX3_Own_percent_rank', 'FLEX4_Own_percent_rank', 'FLEX5_Own_percent_rank']
+                own_columns = ['CPT_Own', 'FLEX1_Own', 'FLEX2_Own', 'FLEX3_Own', 'FLEX4_Own', 'FLEX5_Own']
                 Sim_Winner_Frame['CPT_Own_percent_rank'] = Sim_Winner_Frame.iloc[:,0].map(maps_dict['Own_map']).rank(pct=True)
                 Sim_Winner_Frame['FLEX1_Own_percent_rank'] = Sim_Winner_Frame.iloc[:,1].map(maps_dict['Own_map']).rank(pct=True)
                 Sim_Winner_Frame['FLEX2_Own_percent_rank'] = Sim_Winner_Frame.iloc[:,2].map(maps_dict['Own_map']).rank(pct=True)
                 Sim_Winner_Frame['FLEX3_Own_percent_rank'] = Sim_Winner_Frame.iloc[:,3].map(maps_dict['Own_map']).rank(pct=True)
                 Sim_Winner_Frame['FLEX4_Own_percent_rank'] = Sim_Winner_Frame.iloc[:,4].map(maps_dict['Own_map']).rank(pct=True)
                 Sim_Winner_Frame['FLEX5_Own_percent_rank'] = Sim_Winner_Frame.iloc[:,5].map(maps_dict['Own_map']).rank(pct=True)
+                Sim_Winner_Frame['CPT_Own'] = Sim_Winner_Frame.iloc[:,0].map(maps_dict['Own_map'])
+                Sim_Winner_Frame['FLEX1_Own'] = Sim_Winner_Frame.iloc[:,1].map(maps_dict['Own_map'])
+                Sim_Winner_Frame['FLEX2_Own'] = Sim_Winner_Frame.iloc[:,2].map(maps_dict['Own_map'])
+                Sim_Winner_Frame['FLEX3_Own'] = Sim_Winner_Frame.iloc[:,3].map(maps_dict['Own_map'])
+                Sim_Winner_Frame['FLEX4_Own'] = Sim_Winner_Frame.iloc[:,4].map(maps_dict['Own_map'])
+                Sim_Winner_Frame['FLEX5_Own'] = Sim_Winner_Frame.iloc[:,5].map(maps_dict['Own_map'])
                 # Calculate Dupes column for Fanduel
                 if sim_site_var1 == 'Fanduel':
                     # Calculate ownership product and convert to probability
-                    own_product = (Sim_Winner_Frame['Own'].product() / 100) + 0.0001
+                    own_product = (Sim_Winner_Frame[own_columns].product(axis=1) / 100) + 0.0001
                     
                     # Calculate average of ownership percent rank columns
                     avg_own_rank = Sim_Winner_Frame[dup_count_columns].mean(axis=1)
@@ -577,7 +584,7 @@ with tab1:
                     )
                 elif sim_site_var1 == 'Draftkings':
                     # Calculate ownership product and convert to probability
-                    own_product = (Sim_Winner_Frame['Own'].product() / 100)
+                    own_product = (Sim_Winner_Frame[own_columns].product(axis=1) / 100)
                     
                     # Calculate average of ownership percent rank columns
                     avg_own_rank = Sim_Winner_Frame[dup_count_columns].mean(axis=1)