Premier League 2025 ML Prediction
A machine learning model to predict outcomes of Premier League matches using historical data and statistical features.
Problem Statement
Football match outcomes are influenced by numerous factors including team form, player fitness, home advantage, and historical matchups. Accurately modeling these interactions requires careful feature engineering and model selection to outperform naive prediction baselines.
Methodology
Collected and preprocessed historical Premier League match data spanning multiple seasons. Engineered features capturing team form, head-to-head records, and rolling performance metrics. Trained classification models using Scikit-Learn to predict match outcomes (win, draw, loss).
Results
The model achieved prediction accuracy above baseline for match outcomes, with particularly strong performance on home advantage patterns and form-based predictions.