Update MMA ROO functions to handle missing odds with dynamic calculation

app.py

@@ -67,7 +67,7 @@ with tab1:
         elif sport_var == "MLB":
             template_df = pd.DataFrame(columns=['Player', 'Team', 'Opp', 'Position', 'Salary', 'Median', 'Minutes', 'Own'])
         elif sport_var == "MMA":
-            template_df = pd.DataFrame(columns=['Player', 'Salary', 'Median', 'KO_var', 'Sub_var', 'Own'])
+            template_df = pd.DataFrame(columns=['Player', 'Salary', 'Median', 'KO_odds', 'Sub_odds', 'Own'])
         # Add download button for template
         st.download_button(
             label="Template",

function_hold/MMA_functions.py

@@ -17,8 +17,9 @@ def DK_MMA_ROO_Build(projections_file, std_var, distribution_type):
     total_sims = 1000
     
     projects_raw = projections_file.copy()
-    projects_raw = projects_raw.replace("", np_nan)
-    projects_raw['range_initial'] = (projects_raw['KO_var'] + projects_raw['Sub_var']) / 2
+    projects_raw['KO_odds'] = projects_raw['KO_odds'].replace("", (200-projects_raw['Median']) * 10)
+    projects_raw['Sub_odds'] = projects_raw['Sub_odds'].replace("", (200-projects_raw['Median']) * 10)
+    projects_raw['range_initial'] = np_where(projects_raw['KO_odds'] < projects_raw['Sub_odds'], projects_raw['KO_odds'], projects_raw['Sub_odds'])
     projects_raw['range_var'] = projects_raw['range_initial'].apply(moneyline_to_probability)
 
     dk_df = projects_raw.sort_values(by='Median', ascending=False)
@@ -240,7 +241,9 @@ def FD_MMA_ROO_Build(projections_file, std_var, distribution_type):
     total_sims = 1000
         
     projects_raw = projections_file.copy()
-    projects_raw['range_initial'] = (projects_raw['KO_var'] + projects_raw['Sub_var']) / 2
+    projects_raw['KO_odds'] = projects_raw['KO_odds'].replace("", (200-projects_raw['Median']) * 10)
+    projects_raw['Sub_odds'] = projects_raw['Sub_odds'].replace("", (200-projects_raw['Median']) * 10)
+    projects_raw['range_initial'] = np_where(projects_raw['KO_odds'] < projects_raw['Sub_odds'], projects_raw['KO_odds'], projects_raw['Sub_odds'])
     projects_raw['range_var'] = projects_raw['range_initial'].apply(moneyline_to_probability)
     fd_df = projects_raw.sort_values(by='Median', ascending=False)