Fix ownership calculation for 'Small_Field_Own' in app.py by correcting the reference from 'Large_Own' to 'Large_Field_Own'. This change ensures accurate player ownership projections in the context of contest sizes, maintaining consistency across the ownership metrics.

app.py

@@ -132,7 +132,7 @@ def init_baselines(sport):
         raw_display = pd.DataFrame(list(cursor))
         raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
                                    'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
-        raw_display['Small_Field_Own'] = raw_display['Large_Own']
+        raw_display['Small_Field_Own'] = raw_display['Large_Field_Own']
         raw_display['small_CPT_Own_raw'] = (raw_display['Small_Field_Own'] / 2) * ((100 - (100-raw_display['Small_Field_Own']))/100)
         small_cpt_own_var = 100 / raw_display['small_CPT_Own_raw'].sum()
         raw_display['small_CPT_Own'] = raw_display['small_CPT_Own_raw'] * small_cpt_own_var
@@ -148,7 +148,7 @@ def init_baselines(sport):
         raw_display = pd.DataFrame(list(cursor))
         raw_display = raw_display[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
                                    'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX', 'version', 'slate', 'timestamp', 'player_id', 'site']]
-        raw_display['Small_Field_Own'] = raw_display['Large_Own']
+        raw_display['Small_Field_Own'] = raw_display['Large_Field_Own']
         raw_display['small_CPT_Own'] = raw_display['CPT_Own']
         raw_display['cpt_Median'] = raw_display['Median']
         raw_display['STDev'] = raw_display['Median'] / 4