🏆 2026 FIFA World Cup Predictor

A machine learning project that predicts the results of the 2026 FIFA World Cup — including group stage standings, knockout bracket, and overall winner probabilities.

🔗 Live App

👉 Open the dashboard

📌 What it does

• Predicts the outcome of any match between two international teams
• Simulates the full 2026 World Cup group stage and knockout bracket
• Runs 10,000 Monte Carlo simulations to generate win probabilities for every team
• Displays results in an interactive Streamlit dashboard

🧠 How it works

Data

• 44,000+ international match results (1990–2024)
• Historical FIFA World Rankings
• Features engineered from rolling form, head-to-head records, and ranking gaps

Model

• Three models trained and compared: Logistic Regression, Random Forest, XGBoost
• XGBoost selected as the final model (best accuracy on held-out test set)
• Predicts match outcome probabilities: home win / draw / away win

Simulation

• Group stage: round-robin, top 2 teams qualify
• Knockout rounds: Round of 24 → QF → SF → Final
• Monte Carlo: 10,000 full tournament simulations to produce win %

🛠️ Tech Stack

• Python, Pandas, NumPy
• Scikit-learn, XGBoost
• Streamlit
• Google Colab (development environment)

🚀 Run locally

git clone https://github.com/Diiv152/fifa-predictor.git
cd fifa-predictor
pip install -r requirements.txt
streamlit run app.py

👤 Author

Built by Diivyansh as a self-directed ML learning project.