Refactor player position count calculations in Streamlit app for improved clarity and accuracy in displayed statistics.

src/streamlit_app.py

@@ -466,16 +466,16 @@ def main():
     qb_count_col, rb_count_col, wr_count_col, te_count_col = st.columns(4)
     with qb_count_col:
         st.subheader("QB Counts")
-        st.write(f"Total QB top 12: {final_df.loc[0:11, 'Pos'] == 'QB'.sum()}")
+        st.write(f"Total QB top 12: {(final_df.loc[0:11, 'Pos'] == 'QB').sum()}")
     with rb_count_col:
         st.subheader("RB Counts")
-        st.write(f"Total RB top 12: {final_df.loc[0:11, 'Pos'] == 'RB'.sum()}")
+        st.write(f"Total RB top 12: {(final_df.loc[0:11, 'Pos'] == 'RB').sum()}")
     with wr_count_col:
         st.subheader("WR Counts")
-        st.write(f"Total WR top 12: {final_df.loc[0:11, 'Pos'] == 'WR'.sum()}")
+        st.write(f"Total WR top 12: {(final_df.loc[0:11, 'Pos'] == 'WR').sum()}")
     with te_count_col:
         st.subheader("TE Counts")
-        st.write(f"Total TE top 12: {final_df.loc[0:11, 'Pos'] == 'TE'.sum()}")
+        st.write(f"Total TE top 12: {(final_df.loc[0:11, 'Pos'] == 'TE').sum()}")
 
     
     # Position breakdown