Retrieve fixtures
API-Football provides match schedules, past results, and available supporting data.
Evidence, model estimates, uncertainty, and AI-generated explanations.
From a football data feed to an explanation — with source transparency and clear limits.
The model estimates outcomes from available results. OpenAI helps explain the findings and missing evidence; it does not create or certify odds.
Choose a match →API-Football provides match schedules, past results, and available supporting data.
Actual Winner Rwanda event and market observations require trusted source evidence.
An experimental statistical model estimates 1X2, BTTS and goal totals when data supports them.
OpenAI summarizes the evidence, possible outcomes, assumptions and limitations.
A user can inspect data, prices and risk, then choose whether to take any action elsewhere.
Understand which conclusions are and aren't justified by the evidence
When enough recent completed results exist, a Poisson-style statistical model estimates possible scores. This model is experimental, and probabilities are not calibrated against unseen seasons.
No. An estimated probability is not a guarantee or an assessment of affordability. Unexpected results and model errors remain possible.
Football fixtures and Winner Rwanda listings are separate datasets. Only a current, independently verified event with an unexpired price snapshot is labelled as bookmaker-verified.
It can explain statistical scenarios, but it cannot know future results. Missing evidence, changing team news and bookmaker markets can all affect the outcome.