Update projection calculations in app.py to ensure accurate ownership metrics. Adjusted 'Proj Own' calculations for both 'cpt_working' and 'flex_working' DataFrames by dividing by 100, enhancing the precision of player ownership projections.

app.py

@@ -513,7 +513,7 @@ with tab1:
             cpt_working['Freq'] = cpt_working['Freq'].astype(int)
             cpt_working['Position'] = cpt_working['Player'].map(maps_dict['Pos_map'])
             cpt_working['Salary'] = cpt_working['Player'].map(maps_dict['Salary_map'])
-            cpt_working['Proj Own'] = cpt_working['Player'].map(maps_dict['cpt_Own_map'])
+            cpt_working['Proj Own'] = cpt_working['Player'].map(maps_dict['cpt_Own_map']) / 100
             cpt_working['Exposure'] = cpt_working['Freq']/(1000)
             cpt_working['Edge'] = cpt_working['Exposure'] - cpt_working['Proj Own']
             cpt_working['Team'] = cpt_working['Player'].map(maps_dict['Team_map'])
@@ -533,7 +533,7 @@ with tab1:
                 flex_working['Salary'] = flex_working['Player'].map(maps_dict['Salary_map']) / 1.5
             elif sim_site_var1 == 'Fanduel':
                 flex_working['Salary'] = flex_working['Player'].map(maps_dict['Salary_map'])
-            flex_working['Proj Own'] = (flex_working['Player'].map(maps_dict['Own_map']) / 100) - (flex_working['Player'].map(maps_dict['cpt_Own_map']))
+            flex_working['Proj Own'] = (flex_working['Player'].map(maps_dict['Own_map']) / 100) - (flex_working['Player'].map(maps_dict['cpt_Own_map']) / 100)
             flex_working['Exposure'] = flex_working['Freq']/(1000)
             flex_working['Edge'] = flex_working['Exposure'] - flex_working['Proj Own']
             flex_working['Team'] = flex_working['Player'].map(maps_dict['Team_map'])