Every fixture priced by our own model — a machine-learning ensemble over team strength, form, xG, availability, match context and the market. Win, draw and away, plus Over 2.5 and both-teams-to-score. Our number, our call, scored in public against what actually happened.
Probabilities from our own model — estimates, not certainties, and sometimes wrong.
Probabilistic projection, not advice. Forecasts are informational only and can be wrong. Football outcomes are inherently uncertain. Terms
Each fixture is priced by a weighted ensemble led by our neural network (trained on 40,000+ matches), blended with a Bayesian bivariate-Poisson goals model, falling back to a Dixon-Coles team-strength model where a fixture lacks the inputs. Features span team strength and Elo, recent form and xG, match facts and pressure, squad availability, referee, travel and rest, weather and team news. Where market prices exist we fold them in as a 15% prior, then calibrate the final probabilities against our own settled results. Football is high-variance: these are probabilities, not certainties, and plenty of them will miss. Read the full methodology →
Werder Bremen50Mid
RB Leipzig68Strong
TSG Hoffenheim54Mid
Borussia Dortmund73Strong
Paderborn38Mid
SC Freiburg53Mid
Borussia Mönchengladbach48Mid
Elversberg38Mid
Bayer 04 Leverkusen80Top Club
FC Union Berlin41Mid