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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.
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.
Kimmich on a BVB quality that has been added
In the top match between Bayern and Borussia Dortmund, Joshua Kimmich would like to make a statement, but he also highlights a new quality in the opponent.
How odds move and what AI can learn from bookmakers
Learn why football odds move, what drives bookmaker price changes from opening to closing lines, and how AI models can use odds and line movement without leakage.
Benzema praises Sergio Conceicao
Karim Benzema reflects on his progression at Al Ittihad, admits his first season was average, praises Sergio Conceicao’s training intensity, and argues Saudi football is improving fast and is closer to Europe’s level than many believe.