one more change

app.py

@@ -1799,7 +1799,6 @@ if selected_tab == 'Projections Management':
         column_config = {
             'player_names': st.column_config.TextColumn(
                 'Player',
-                disabled=True,
                 width='medium'
             ),
             'position': st.column_config.TextColumn(
@@ -1874,7 +1873,7 @@ if selected_tab == 'Projections Management':
         # Check for changes and update
         if not edited_df.equals(filtered_df):
             # Find which rows changed
-            changed_mask = ~(edited_df[['position', 'team', 'salary', 'median', 'ownership', 'captain ownership']] == filtered_df[['position', 'team', 'salary', 'median', 'ownership', 'captain ownership']]).all(axis=1)
+            changed_mask = ~(edited_df[['player_names', 'position', 'team', 'salary', 'median', 'ownership', 'captain ownership']] == filtered_df[['player_names', 'position', 'team', 'salary', 'median', 'ownership', 'captain ownership']]).all(axis=1)
             changed_rows = edited_df[changed_mask]
             
             if len(changed_rows) > 0:
@@ -1886,6 +1885,7 @@ if selected_tab == 'Projections Management':
                     orig_idx = st.session_state['projections_df'][st.session_state['projections_df']['player_names'] == player_name].index
                     if len(orig_idx) > 0:
                         # Player exists in projections_df - update existing row
+                        st.session_state['projections_df'].loc[orig_idx[0], 'player_names'] = row['player_names']
                         st.session_state['projections_df'].loc[orig_idx[0], 'position'] = row['position']
                         st.session_state['projections_df'].loc[orig_idx[0], 'team'] = row['team']
                         st.session_state['projections_df'].loc[orig_idx[0], 'salary'] = row['salary']