Football Predictor
Public data

AI Football Prediction Quality Report

Public tracking for evaluated prediction samples, hit rate, league cohorts, and model version performance.

Samples

559

Hits

287

Accuracy

51.3%

Public picks

50.5%

League
LeagueSamplesAccuracyDraw bias
西甲11651.7%-7.8%
世界杯10462.5%-8.7%
意甲9447.9%-6.4%
英超9245.7%-8.7%
德甲6848.5%-16.2%
法甲6243.5%-14.5%
欧冠2365.2%-17.4%
Model version
Model versionSamplesHitsAccuracy
selective-v345323050.8%
legacy995252.5%
draw-calibrated-v27571.4%
Confidence cohort
Confidence cohortSamplesHitsAccuracy
1-417952.9%
5-750925950.9%
8-10331957.6%
Pick policy
Pick policySamplesHitsAccuracy
Main pick000%
Solid lean995050.5%
Watch list22836.4%
Avoid / thin data43822952.3%
Prediction type
Prediction typeSamplesHitsAccuracy
HOME WIN31117957.6%
DRAW812227.2%
AWAY WIN1678651.5%
Data grade
Data gradeSamplesHitsAccuracy
high441738.6%
medium1175748.7%
low29916153.8%
unknown995252.5%
Odds signal
Odds signalSamplesHitsAccuracy
With odds1598855.3%
No odds30114748.8%
Unknown odds995252.5%
Probability margin
Probability marginSamplesHitsAccuracy
0-4pp1365339%
5-9pp1024948%
10pp+32118557.6%
Quality notes

主推/稳健预测尚未明显优于全量预测,建议继续收紧主推门槛:提高概率领先差和赔率完整度要求。

主推样本偏少,当前更适合展示为精选预测口径,等样本增加后再作为核心宣传数据。

德甲 平局预测偏少,建议提高低比分/实力接近场景的平局下限。

DRAW 类型命中率偏低,建议检查该结果类型的概率校准。

Methodology

This report only counts latest-round AI predictions for fixtures that have finished and been verified. Accuracy is not betting advice and does not guarantee future outcomes.

Public Dataset and Methodology

Football Predictor publishes public prediction quality samples, field definitions, methodology notes, and responsible-use documentation for review and citation.

View public GitHub repository