Football AI Beta · Research Preview · Statistical analyses are continuously improving.

Methodology

How Football AI evaluates matches

This page explains the research process in accessible language without code-level detail.

Process

Principle 1

Completed fixture data is imported locally from controlled Sportmonks endpoints.

Principle 2

Pre-match statistics are generated using only information available before kickoff.

Principle 3

Backtests are chronological, so later fixtures cannot influence earlier predictions.

Principle 4

Random splitting was rejected because football model evaluation must respect time.

Principle 5

V2 and ML experiments were not promoted because evidence was not strong enough.

Future plans

Improve draw handling, calibration, live fixture ingestion, and publication controls only after further validation.