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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.
Which players will Kompany be without in Berlin?
After the exhausting match in Paris, Bayern continue against Union Berlin. And Vincent Kompany once again has to find solutions.
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.
Mbappé goes after reporter after four goal haul in the Champions League
Real Madrid’s forward scored four goals in a win over Olympiacos and, at the end of the game, was asked whether his team depends too much on him. Mbappé did not like the question.
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.