About This Project

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About Our AI Model

📊Data Science Approach

"Premier League AI Predictor" operates using a sophisticated machine learning model trained on thousands of matches from the past 5 Premier League seasons.

Our goal is to provide a fresh perspective on football by calculating objective win probabilities based solely on statistical data, eliminating human bias and subjectivity.

🤖Algorithms Used

The prediction engine utilizes state-of-the-art Gradient Boosting Decision Tree algorithms, which are frequently used in top-tier data science competitions like Kaggle.

  • Ensemble LearningBy combining two powerful models with different characteristics—XGBoost and LightGBM—we achieve higher stability and accuracy than single-model predictions.
  • Time Series AnalysisInstead of relying solely on aggregate season stats, we engineer features that capture temporal changes, such as "form in the last 5 matches" and "home/away performance trends."

📈Key Metrics

Attacking & Defensive Strength

Quantifying team performance based on shots taken, shots on target, and goals conceded.

Points Difference & Momentum

Evaluating the "power gap" between teams using cumulative points and recent form trajectories.