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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.
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.
If Alonso is not good enough for Real, then who is?
Philipp Lahm has come to the defense of his former teammate Xabi Alonso. The Basque was dismissed earlier this year by Real Madrid, and Lahm sees the coaching job at Los Blancos as the ultimate challenge in world football.
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.
Alavés pay a very high price for reaching the round of sixteen
Alavés beat Sevilla to reach the Copa del Rey round of sixteen, but injuries to Jonny Otto and Lucas Boyé threaten their plans ahead of the Osasuna clash.
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.