Built by a developer who loves football and machine learning. We use LightGBM trained on 100+ match features to find edges the bookmakers miss — then show you exactly how confident the model is.
Each league has different characteristics — the Bundesliga is high-scoring, Serie A is defensive, La Liga is tactical. We train separate gradient-boosted models per league with Optuna hyperparameter optimization for maximum accuracy.
Form streaks, ELO ratings, expected goals (xG), player availability, head-to-head records, shot statistics, home/away splits, and dozens more. Every feature is engineered from raw match data, not scraped from tipster sites.
For exact score predictions, we derive scorelines from the LightGBM probability outputs, accounting for league-specific scoring patterns and home/away goal distributions.
We never test on data the model has “seen.” All accuracy numbers come from strict temporal splits — training on the past, predicting the future. 140 days of genuine out-of-sample results, not cherry-picked backtests.
Winner prediction accuracy per league · 140-day backtest
Match results, standings, fixtures, and team data for all 8 leagues
Real-time bookmaker odds from 20+ bookmakers worldwide
Expected goals (xG), shot data, and advanced match statistics
Pure statistical model. No human gut feeling, no narrative-driven picks, no 'insider tips.' Just data, features, and gradient-boosted trees.
We show you when the model is uncertain. Every prediction comes with a confidence score, probability breakdown, and expected value calculation. No hiding behind vague language.
140 days of genuine out-of-sample predictions. Not simulated, not retroactively fitted. Every prediction was made before the match kicked off and verified after.