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Over and under goals: how AI predicts goal totals
Learn how AI predicts over and under goals by estimating expected goals, tempo, team styles, and variance, then converting them into calibrated probabilities for total goals markets.
Predicting goalscorers with data and AI
Who is most likely to score in the next match? Discover how AI identifies hidden goalscoring opportunities and why recent form does not always tell the full story.
If Alonso is not good enough for Real, then who is?
Philipp Lahm has come to the defense of his former teammate Xabi Alonso. The Basque was dismissed earlier this year by Real Madrid, and Lahm sees the coaching job at Los Blancos as the ultimate challenge in world football.
How to use Elo ratings for football predictions
A practical guide to using Elo ratings in football predictions, from team strength and home advantage to draw probability, league adjustments, and model improvement.
The best data sources for AI soccer predictions
A practical guide to the best data sources for AI soccer predictions, covering event data, tracking data, odds, injuries, and open datasets, plus how to choose, validate, and combine them.
The impact of VAR on penalties and match outcomes
Learn how VAR affects penalties, match outcomes, football predictions, and betting models by changing decision accuracy, game state, scoring probability, and late-match volatility.