Matches for one calendar day: match_id, kick-off time (UTC), league, teams and status. status is upcoming (pre-kick-off read is locked), pending (current read, may still change before kick-off) or finished. Pass a match_id to get_match_analysis for the outcome probabilities and, once played, the result.

For one match: the model's home / draw / away probabilities as recorded before kick-off (fractions that sum to 1), its most likely outcome, a confidence score, the pre-match favourite, and when the read was captured. For a finished match it also returns the final score and whether the most likely outcome happened (hit). This version returns the balanced model; models_available lists what is included.

How the model's pre-kick-off reads turned out. Without arguments: the whole public record. With week_start: one Monday-to-Sunday week. Returns matches counted (n), how many went the model's way (hits), the same matches scored by always taking the pre-match favourite and by one in three, and the breakdown by confidence band. hit_rate is a percentage; null means the sample is under min_band_sample, so quote the counts instead. Misses are counted the same way as hits.