Football Analytics Guides
Understand football statistics and probability models with practical, evidence-based explanations.
Explore our guides
- Over 2.5 Goals Explained: What the Statistics Really Tell You
- How to Analyse Football Attacking and Defensive Form Using xG Trends
- What Is xG Difference in Football? Reading the Balance of Chances
- How to Compare Football Teams Using Statistics: A Practical Framework
- Football Clean Sheet Probability Explained: From xGA to Match Forecasts
- Football Scoring Efficiency: How to Compare Goals with Expected Goals
- Small Sample Size in Football Statistics: Why Early Trends Can Mislead
- How Football Predictions Work: From Statistics to Probabilities
- Home vs Away Football Statistics: How to Compare Team Performance
- xG vs xGA Explained: Attacking and Defensive Football Statistics
- Poisson and Dixon-Coles Football Models Explained
- Football Prediction Calibration: How to Judge Probability Forecasts
- BTTS Probability Explained: Both Teams to Score in Football
- How to Read Football Form Statistics: A Practical Guide
- Expected Goals (xG) Explained: How to Read Football Chance Quality
Season analysis
Explore original football analysis based on completed match data.
Premier League 2025/26 xG: best attacks and defences
Bundesliga 2025/26 xG: Bayern's attacking gap and Dortmund's defence
Bundesliga 2026/27 form and xG: Bayern, Freiburg and Dortmund
LaLiga 2025/26 xG: Barcelona's attack and Madrid's defence
Serie A 2025/26 xG: Inter, Juventus and Como
Ligue 1 2025/26 xG: PSG, Lens and Lille
Premier League goals and xG: 2024/25 vs 2025/26
Arsenal 2025/26: the defence behind the numbers
Como 2025/26: different attacks, similar home and away results