Problem
Most soccer predictions are opinions with no method or tracking: it is hard to know whether the odds offer real value, and almost no one publishes how often they are right.
A soccer analytics engine that simulates each match 100,000 times with real data, calculates probabilities by market, and compares them against the odds. If there is no measurable value, it says so: “No Bet.”


Most soccer predictions are opinions with no method or tracking: it is hard to know whether the odds offer real value, and almost no one publishes how often they are right.
Real data from each match, 100,000 simulations with a statistical goals model, and a comparison against the odds with the bookmaker's margin removed. Each signal is recorded before the match and evaluated publicly afterward.
Soccer fans and data analysts who prefer calibrated probabilities to intuition. Only for people 18 and older.
Expected goals per team, shots, corners, cards, fouls, and the most likely scorelines, calculated match by match.

Match result, double chance, handicap, goal lines, and both teams to score, also by half, with clear probability bars.

If the calculated probability does not exceed the market's, the answer is “No Bet.” It does not promise winnings.
Monte Carlo with a Poisson / Dixon-Coles model on real data from each fixture.
Interface and analysis available in ten languages.
FastAPI backend with a custom quantitative engine: simulation of 100,000 scenarios, margin-free probabilities, expected value, Kelly fraction, and calibration metrics (Brier and LogLoss). Two-level cache to respect the daily data budget and a log of signals settled against real results.
Tell us the idea in two lines. We'll reply with scope, timeline and a first proposal.

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