ipl 2025 players

app.py

@@ -207,8 +207,8 @@ def get_user_total_points(user_name):
 
 def calculate_max_bid_points(user_name):
     total_points = get_user_total_points(user_name)
-    # max_bid_points = int(total_points * 0.20)  # 20% of total points
-    return total_points
+    max_bid_points = int(total_points * 0.20)  # 20% of total points
+    return max_bid_points
 
 
 def load_users(USERS_JSON):
@@ -350,21 +350,34 @@ user_guide_content = """
 #### Submitting Predictions
 - **Match Selection**: Choose the match you want to predict from today's available matches.
 - **Team and Player Prediction**: Select the team you predict will win and the "Man of the Match".
-- **Bid Points**: Enter the number of points you wish to bid on your prediction. Remember, the maximum you can bid is capped at 20% of your total points.
+- **Bid Points**: Enter the number of points you wish to bid on your prediction. Remember, the maximum you can bid is capped at **20% of your total points**.
 
 #### Scoring System
-- **Winning Team Prediction**: Correct predictions earn you 1000 points, while incorrect predictions deduct 200 points.
-- **Man of the Match Prediction**: Correctly predicting the "Man of the Match" awards you 200 points. No penalty for incorrect guesses.
-- **Bonus Points**: An additional 200 points bonus is awarded for getting both the team and "Man of the Match" predictions right.
+- **Winning Team Prediction**:  
+  - ✅ **Correct Prediction**: You earn **2000 points** plus your bid amount.  
+  - ❌ **Incorrect Prediction**: You lose **200 points** plus your bid amount.  
+- **Man of the Match Prediction**:  
+  - ✅ **Correct Prediction**: You earn **an additional 500 points**.  
+  - ❌ **Incorrect Prediction**: No penalty.  
+- **No Prediction Submitted**:  
+  - ❌ **You lose 1000 points** automatically for not submitting a prediction. 
 
 #### Bid Point Constraints
 - You cannot bid more than 20% of your current total points.
 - Bid points will be doubled if your prediction is correct, and deducted if incorrect.
 
 #### Rules for Submission
-- Predictions must be submitted before the match starts.
-- Only one prediction per match is allowed.
-- Review your prediction carefully before submission, as it cannot be changed once submitted.
+- **Predictions must be submitted before the match starts**.
+- **Only one prediction per match is allowed**.
+- **Review your prediction carefully before submission, as it cannot be changed once submitted**.
+
+#### 🔴🟢⚪ Match Performance Tracking
+- After each match, your last **5 predictions will be tracked** and displayed on the leaderboard:  
+  - 🟢 **Green** → Correct prediction.  
+  - 🔴 **Red** → Wrong prediction.  
+  - ⚪ **White** → No prediction submitted.  
+
+🚀 **Compete, strategize, and climb the leaderboard!**
 """
 
 # User Guide as an expander
@@ -456,12 +469,18 @@ def update_leaderboard_and_outcomes(match_id, winning_team, man_of_the_match, ou
 
             # Update user's points in the DataFrame
             users_df[user_name][0]['points'] = user_points
+            users[user_name][0]['points'] = user_points
             
             # Maintain last 5 prediction results
             if "last_5_results" not in users_df[user_name][0]:
                 users_df[user_name][0]["last_5_results"] = []
             users_df[user_name][0]["last_5_results"].insert(0, result_indicator)  # Insert at beginning
             users_df[user_name][0]["last_5_results"] = users_df[user_name][0]["last_5_results"][:5]  # Keep only last 5
+            
+            if "last_5_results" not in users[user_name][0]:
+                users[user_name][0]["last_5_results"] = []
+            users[user_name][0]["last_5_results"].insert(0, result_indicator)  # Insert at beginning
+            users[user_name][0]["last_5_results"] = users[user_name][0]["last_5_results"][:5]  # Keep only last 5
 
         users.to_json(USERS_JSON)
         updated_dataset = Dataset.from_pandas(users_df)

leaders/users.json

@@ -1 +1 @@
-{"Arpit": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Ganesh": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Haaris": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Jay": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Kishore": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Megha": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Naveein": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Neha": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Praveen": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Rakesh": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Sai": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Sahil": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Sunil": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Vaibhav": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Vinay": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}}
+{"Arpit": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Ganesh": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Haaris": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Jay": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Kishore": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Megha": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Naveein": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Neha": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Praveen": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Rakesh": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Sai": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Sahil": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Sunil": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Vaibhav": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Vinay": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Anandh": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Archana": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Biswabarenya": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Naitik": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Alekhya": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Siri Gowri": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Priyavrat Mohan": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}}

players.json

@@ -136,31 +136,27 @@
       "Robin Minz"
     ],
     "KKR": [
-      "Nitish Rana",
       "Rinku Singh",
-      "Rahmanullah Gurbaz",
-      "Shreyas Iyer",
-      "Jason Roy",
-      "Anukul Roy",
+      "Varun Chakaravarthy",
+      "Sunil Narine",
       "Andre Russell",
       "Venkatesh Iyer",
-      "Suyash Sharma",
+      "Quinton de Kock",
+      "Anrich Nortje",
+      "Rahmanullah Gurbaz",
+      "Moeen Ali",
+      "Spencer Johnson",
+      "Rovman Powell",
+      "Ajinkya Rahane",
+      "Umran Malik",
+      "Manish Pandey",
       "Harshit Rana",
-      "Sunil Narine",
-      "Vaibhav Arora",
-      "Varun Chakravarthy",
-      "KS Bharat",
-      "Chetan Sakariya",
-      "Mitchell Starc",
-      "Angkrish Raghuvanshi",
       "Ramandeep Singh",
-      "Sherfane Rutherford",
-      "Manish Pandey",
-      "Mujeeb Ur Rahman",
-      "Gus Atkinson",
-      "Sakib Hussain",
-      "Dushmantha Chameera",
-      "Phil Salt"
+      "Angkrish Raghuvanshi",
+      "Vaibhav Arora",
+      "Anukul Roy",
+      "Mayank Markande",
+      "Luvnith Sisodia"
     ],
     "LSG": [
         "KL Rahul",
@@ -271,31 +267,27 @@
         "Nandre Burger"
     ],
     "RCB": [
-        "Faf du Plessis",
-        "Glenn Maxwell",
-        "Virat Kohli",
-        "Rajat Patidar",
-        "Anuj Rawat",
-        "Dinesh Karthik",
-        "Suyash Prabhudessai",
-        "Will Jacks",
-        "Mahipal Lomror",
-        "Karn Sharma",
-        "Manoj Bhandage",
-        "Mayank Dagar",
-        "Vyshak Vijaykumar",
-        "Akash Deep",
-        "Mohammed Siraj",
-        "Reece Topley",
-        "Himanshu Sharma",
-        "Rajan Kumar",
-        "Cameron Green",
-        "Alzarri Joseph",
-        "Yash Dayal",
-        "Lockie Ferguson",
-        "Tom Curran",
-        "Swapnil Singh",
-        "Saurav Chauhan"
+      "Virat Kohli",
+      "Rajat Patidar",
+      "Yash Dayal",
+      "Liam Livingstone",
+      "Phil Salt",
+      "Jitesh Sharma",
+      "Josh Hazlewood",
+      "Bhuvneshwar Kumar",
+      "Krunal Pandya",
+      "Tim David",
+      "Suyash Sharma",
+      "Rasikh Dar",
+      "Jacob Bethell",
+      "Romario Shepherd",
+      "Nuwan Thushara",
+      "Devdutt Padikkal",
+      "Swapnil Singh",
+      "Swastik Chikara",
+      "Manoj Bhandage",
+      "Abhinandan Singh",
+      "Mohit Rathee"
     ],
     "SRH": [
         "Abdul Samad",

users.json

@@ -1 +1 @@
-{"Arpit": {"points": 10000, "wildcard": [0, 0, 0]}, "Ganesh": {"points": 10000, "wildcard": [0, 0, 0]}, "Haaris": {"points": 10000, "wildcard": [0, 0, 0]}, "Jay": {"points": 10000, "wildcard": [0, 0, 0]}, "Kishore": {"points": 10000, "wildcard": [0, 0, 0]}, "Megha": {"points": 10000, "wildcard": [0, 0, 0]}, "Naveein": {"points": 10000, "wildcard": [0, 0, 0]}, "Neha": {"points": 10000, "wildcard": [0, 0, 0]}, "Praveen": {"points": 10000, "wildcard": [0, 0, 0]}, "Rakesh": {"points": 10000, "wildcard": [0, 0, 0]}, "Sai": {"points": 10000, "wildcard": [0, 0, 0]}, "Sahil": {"points": 10000, "wildcard": [0, 0, 0]}, "Sunil": {"points": 10000, "wildcard": [0, 0, 0]}, "Vaibhav": {"points": 10000, "wildcard": [0, 0, 0]}, "Vinay": {"points": 10000, "wildcard": [0, 0, 0]}}
+{"Arpit": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Ganesh": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Haaris": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Jay": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Kishore": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Megha": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Naveein": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Neha": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Praveen": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Rakesh": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Sai": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Sahil": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Sunil": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Vaibhav": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Vinay": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Anandh": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Archana": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Biswabarenya": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Naitik": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Alekhya": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Siri Gowri": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}, "Priyavrat Mohan": {"points": 10000, "wildcard": [0, 0, 0],"last_5_results": ["⚪", "⚪", "⚪", "⚪", "⚪"]}}