Is accuracy betting advice?

No. The page reports historical model performance only; football outcomes remain uncertain.

Public data

AI Football Prediction Quality Report

Name: Football Predictor football prediction dataset
Creator: Football Predictor
License: https://football.edccc.cn/en/about

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

Samples

583

Hits

298

Accuracy

51.1%

Public picks

51.8%

League

League	Samples	Accuracy	Draw bias
西甲	121	52.9%	-8.3%
世界杯	104	62.5%	-8.7%
意甲	99	46.5%	-5.1%
英超	96	45.8%	-10.4%
德甲	71	49.3%	-16.9%
法甲	69	42%	-11.6%
欧冠	23	65.2%	-17.4%

Model version

Model version	Samples	Hits	Accuracy
selective-v3	477	241	50.5%
legacy	99	52	52.5%
draw-calibrated-v2	7	5	71.4%

Confidence cohort

Confidence cohort	Samples	Hits	Accuracy
1-4	17	9	52.9%
5-7	532	269	50.6%
8-10	34	20	58.8%

Pick policy

Pick policy	Samples	Hits	Accuracy
Main pick	0	0	0%
Solid lean	112	58	51.8%
Watch list	22	8	36.4%
Avoid / thin data	449	232	51.7%

Prediction type

Prediction type	Samples	Hits	Accuracy
HOME WIN	322	187	58.1%
DRAW	84	22	26.2%
AWAY WIN	177	89	50.3%

Data grade

Data grade	Samples	Hits	Accuracy
high	44	17	38.6%
medium	136	67	49.3%
low	304	162	53.3%
unknown	99	52	52.5%

Odds signal

Odds signal	Samples	Hits	Accuracy
With odds	159	88	55.3%
No odds	325	158	48.6%
Unknown odds	99	52	52.5%

Probability margin

Probability margin	Samples	Hits	Accuracy
0-4pp	146	56	38.4%
5-9pp	107	52	48.6%
10pp+	330	190	57.6%

Quality notes

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。

英超平局预测偏少，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