Update app.py

app.py

@@ -135,7 +135,7 @@ with tab3:
                         flex_file = df.copy()
                         flex_file.rename(columns={"Name": "Player"}, inplace = True)
                         flex_file['Floor'] = (flex_file['Median'] * .25)
-                        flex_file['Ceiling'] = np.where((flex_file['Median'] + (flex_file['Median'] * flex_file['Ceiling_var'])) > stat_cap, stat_cap + (flex_file['Median']/20), (flex_file['Median'] + (flex_file['Median'] * flex_file['Ceiling_var'])))
+                        flex_file['Ceiling'] = np.where((flex_file['Median'] + (flex_file['Median'] * flex_file['Ceiling_var'])) > stat_cap, stat_cap + (flex_file['Median']/10), (flex_file['Median'] + (flex_file['Median'] * flex_file['Ceiling_var'])))
                         flex_file['STD'] = (flex_file['Median']/3)
                         flex_file = flex_file[['Player', 'Floor', 'Median', 'Ceiling', 'STD']]
 
@@ -147,7 +147,7 @@ with tab3:
                         overall_players = overall_file[['Player']]
 
                         for x in range(0,total_sims):
-                            overall_file['g'] = np.random.gumbel(overall_file['Median'] * .5,overall_file['STD'])
+                            overall_file['g'] = np.random.gumbel(overall_file['Median'] * .75,overall_file['STD'])
                             overall_file[x] = np.where((overall_file['g']<=overall_file['Ceiling']),overall_file['g'],overall_file['Ceiling'])
 
                         check_file = overall_file.copy()