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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.
Expected goals explained and how AI uses xG to predict results
Understand expected goals (xG) from first principles and see how AI uses xG, shot quality, and team context to predict football results with stronger accuracy and calibration.
Neuer ready for Freiburg Pavlovic on his way back
FC Bayern are entering the decisive phase of the season. Coach Vincent Kompany can briefly breathe a cautious sigh of relief.
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.
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.
Machine learning vs human intuition in match forecasting
Compare machine learning and human intuition in match forecasting, examining strengths, blind spots, and why a hybrid approach often delivers the most dependable predictions.