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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
57.1%
Coin-flip baseline
33.3%
Landed
1,439
Missed
1,083

Ahead of the baseline 57.1% against a 33.3% baseline, over n = 2,522 settled tips in the last 365 days. That is 23.8 points above the baseline.

Recent form (last 90 days): 57.9%on n = 347 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.

0255075100Sep 25: 110 of 218 (50.5%)SepOct 25: 178 of 317 (56.2%)OctNov 25: 193 of 321 (60.1%)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: 62 of 104 (59.6%)Sepcoin-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 40 leagues with 30+ settled matches. 29 leagues fall below that and are left out — too few matches to call it a hit rate.

  • Ligi kuu Bara98%+64.3pt
  • Liga Portugal83%+50.0pt
  • Bundesliga74%+41.1pt
  • La Liga74%+40.9pt
  • WC Qualification Europe72%+38.5pt
  • Uganda Premier League71%+38.1pt
  • Champions League71%+37.6pt
  • Women's Super League71%+37.3pt
  • Eredivisie69%+35.9pt
  • South Africa Premier League64%+31.1pt
  • Npfl64%+30.3pt
  • 2. Bundesliga63%+30.0pt
  • English Premier League61%+28.0pt
  • Liga MX61%+27.7pt
  • Npl Queensland61%+27.6pt
  • Ukrainian Premier League60%+26.7pt
  • Serie B59%+26.1pt
  • Jupiler League59%+26.0pt
  • Ligue 158%+25.1pt
  • Romania Liga 158%+24.8pt
  • Chance Liga57%+23.6pt
  • Europe League57%+23.3pt
  • English League Championship56%+23.1pt
  • Brazil Serie A55%+22.1pt
  • Ghana Premier League53%+20.2pt
  • Challenger Pro League53%+19.6pt
  • Jamaica Premier League53%+19.6pt
  • Enterprise National League51%+18.1pt
  • Serie A51%+17.9pt
  • Major League Soccer49%+15.4pt
  • Indian Super League48%+15.1pt
  • FA Cup48%+14.8pt
  • Liga Profesional de Fútbol47%+13.2pt
  • Eerste Divisie46%+13.0pt
  • English League 146%+12.7pt
  • China League One46%+12.3pt
  • Bulgaria First League45%+11.9pt
  • 3. Liga43%+9.3pt
  • Ekstraklasa42%+8.6pt
  • English League 236%+2.9pt

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 2,522 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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