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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.
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.
FIFA cannot solve geopolitical problems
FIFA president Gianni Infantino said the organization “cannot solve geopolitical problems” amid growing calls for Israel to be suspended from international football due to the Gaza conflict. While the UN and several federations demand action, Infantino insists FIFA’s mission is to unite people through football, leaving responsibility to UEFA.
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.
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.
How AI Is Changing Football Predictions in 2026
Explore how artificial intelligence is transforming football predictions through richer data, smarter models, real-time context, and stronger transparency and governance.