Bayesian Football Predictor
Probabilistic predictions with uncertainty quantification for the next Premier League matchweek
How it works
This model uses Bayesian inference to generate probabilistic forecasts for match outcomes. Each prediction includes expected goals (xG) with confidence intervals,outcome probabilities (win/draw/loss), and the most likely scorelines. The distributions reflect uncertainty in the predictions, giving you a complete picture beyond just point estimates.
Project Resources
Machine learning predictions using Bayesian inference for probabilistic forecasting