About This Project
← HomeAbout 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.