Football AIFootball AI

Home Win — Prediction Accuracy

A home win tip backs one result out of three. Here is how often ours landed, measured against what guessing would have achieved.

Home Win — the record

Hit rate
58.7%
Coin-flip baseline
33.3%
Landed
1,323
Missed
932

Ahead of the baseline — 58.7% against a 33.3% baseline, over n = 2,255 settled tips in the last 365 days. That is 25.4 points above the baseline.

Recent form (last 90 days): 61.5%on n = 558 — in line with or better than the headline figure.

Picking one of three results at random lands about 33% of the time, so that is the bar this has to clear.

0255075100Nov 25: 175 of 292 (59.9%)NovDec 25: 119 of 208 (57.2%)DecJan 26: 120 of 228 (52.6%)JanFeb 26: 172 of 276 (62.3%)FebMar 26: 139 of 232 (59.9%)MarApr 26: 118 of 216 (54.6%)AprMay 26: 83 of 146 (56.8%)MayJun 26: 21 of 33 (63.6%)JunJul 26: 25 of 53 (47.2%)JulAug 26: 99 of 170 (58.2%)AugSep 26: 108 of 175 (61.7%)SepOct 26: 131 of 205 (63.9%)OctNov 26: 13 of 21 (61.9%)Novcoin-flip baseline 33%
Month by month, last 13 months with at least 5 settled tips. Grey bars are months below the baseline — they stay on the record.

Home Win by league

Each league is measured against its own baseline, because leagues differ. Best edge first — the ones behind are further down, not removed.

Showing 36 leagues with 30+ settled matches. 33 leagues fall below that and are left out — too few matches to call it a hit rate.

  • Ligi kuu Bara95%+62.2pt
  • Liga Portugal83%+49.8pt
  • La Liga77%+44.2pt
  • Uganda Premier League74%+41.0pt
  • Ukrainian Premier League71%+37.3pt
  • Champions League70%+36.7pt
  • Bundesliga68%+34.7pt
  • Women's Super League68%+34.4pt
  • South Africa Premier League67%+33.4pt
  • Npfl63%+30.1pt
  • Eredivisie62%+28.9pt
  • Jupiler League62%+28.8pt
  • Ligue 162%+28.2pt
  • Serie A62%+28.2pt
  • 2. Bundesliga61%+28.1pt
  • English League Championship61%+27.8pt
  • Npl Queensland61%+27.6pt
  • English Premier League60%+26.3pt
  • Brazil Serie A59%+26.2pt
  • Chance Liga59%+25.9pt
  • Major League Soccer57%+24.2pt
  • Europe League56%+23.0pt
  • Ghana Premier League56%+22.6pt
  • Enterprise National League52%+19.0pt
  • FA Cup52%+18.2pt
  • English League 151%+17.8pt
  • Eerste Divisie50%+16.7pt
  • Liga Profesional de Fútbol50%+16.7pt
  • Challenger Pro League50%+16.7pt
  • NB I50%+16.7pt
  • Indian Super League49%+15.3pt
  • 3. Liga47%+13.8pt
  • Bulgaria First League45%+12.2pt
  • China League One45%+11.3pt
  • Ekstraklasa42%+9.1pt
  • English League 238%+4.5pt

The amber line on each bar is that league's own baseline. Green means the model is ahead of it, grey means it is not.

How this is measured

  • Every home win tip published in the last 365 days is scored against the final result. Losing tips stay on the record.
  • Picking one of three results at random lands about 33% of the time, so that is the bar this has to clear.
  • Fixtures the model could not price are excluded — they were never published as tips.
  • Current verdict: Ahead of the baseline, on 2,255 settled tips.

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18+. These figures describe how our model has performed on settled matches. Past performance is not a guide to future results, and no prediction is certain. Bet only what you can afford to lose. Free, confidential help is available at BeGambleAware.org.

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