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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.
Over and under goals: how AI predicts goal totals
Learn how AI predicts over and under goals by estimating expected goals, tempo, team styles, and variance, then converting them into calibrated probabilities for total goals markets.
PSG Make Zion Suzuki Priority Goalkeeping Target
Goalkeeper Zion Suzuki, one of the standout performers in Japan’s run to the last 16 of the 2026 World Cup, is PSG’s priority target for the position. The French club intend to accelerate negotiations over the coming days to finalise a deal for the goalkeeper, Fabrizio Romano reported on Monday.
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.
Neuer ready for Freiburg Pavlovic on his way back
FC Bayern are entering the decisive phase of the season. Coach Vincent Kompany can briefly breathe a cautious sigh of relief.
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.