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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.
Flamengo win the Brazilian title after winning the Libertadores
Flamengo crowned an historic season by clinching the Brazilian league title with a 1-0 win over Ceará, just four days after lifting their fourth Copa Libertadores.
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.
Athletic find in Adama Boiro a full-back with hunger and patience
Adama Boiro, the young Senegalese full-back who grew up in Pamplona, is steadily making his mark at Athletic Club.
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.