asd

app.py

@@ -71,21 +71,21 @@ for index, row in df.iterrows():
         league = "Bundesliga"
 
     new_row = {
-        "player_name": row["player_name"],
-        "league": league,
-        "goals": row["goals"],
-        "assists": row["assists"],
-        "yellow_cards": row["yellow_cards"],
-        "red_cards": row["red_cards"],
-        "minutes_played": row["minutes_played"],
-        "height_in_cm": row["height_in_cm"],
-        "age": row["age"],
-        "months_left": row["months_left"],
-        "own_goals": row["own_goals"],
-        "opponent_goals": row["opponent_goals"],
-        "clean_sheets": row["clean_sheets"],
-        "market_value_in_eur": row["market_value_in_eur"],
-        "predicted_value": "123123123"  # Replace this with your actual predicted value
+        "Player name": row["player_name"],
+        "League": league,
+        "Goals": row["goals"],
+        "Assists": row["assists"],
+        "Yellow cards": row["yellow_cards"],
+        "Red cards": row["red_cards"],
+        "Minutes played": row["minutes_played"],
+        "Height": row["height_in_cm"],
+        "Age": row["age"],
+        "Months left on contract": row["months_left"],
+        "Team made goals": row["own_goals"],
+        "Team conceded goals": row["opponent_goals"],
+        "Team clean sheets": row["clean_sheets"],
+        "Actual market value (EUR)": row["market_value_in_eur"],
+        "Model predicted market value (EUR)": "123123123"  # Replace this with your actual predicted value
     }
 
     # Append new row to df_present