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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.
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.
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.
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.
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.
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.