Football
Football stats
Objective averages and our prognosis accuracy per competition. The percentages are PROGNOSIS ACCURACY, not profitability or betting value.
The % is the model's prognosis accuracy, not a return. The history is short (since late June) and grows over time, so leagues with few matches don't yet show a percentage.
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| League | Matches | Goals/match | %Over 2.5 | %BTTS | 1st-half goals | %Goal in 1st half | Winner accuracy | Over/Under accuracy |
|---|---|---|---|---|---|---|---|---|
| USA USL League Two | 142 | 3.9 | 72% | 63% | 1.7 | 81% | 68% (60–75%)n=142 · large sample | 49% (41–57%)n=142 · large sample |
| Finland Kolmonen | 72 | 4.2 | 81% | 71% | 2.0 | 88% | 63% (51–73%)n=72 · medium sample | 50% (39–61%)n=72 · medium sample |
| Brazil Serie D | 61 | 2.4 | 38% | 41% | 0.8 | 67% | 51% (39–63%)n=61 · medium sample | 46% (34–58%)n=61 · medium sample |
| Chile Cup | 55 | 3.0 | 58% | 58% | 1.2 | 67% | 55% (42–67%)n=55 · medium sample | 46% (33–59%)n=55 · medium sample |
| Argentina Torneo A | 49 | 2.0 | 39% | 35% | 1.0 | 63% | 53% (39–66%)n=49 · medium sample | 57% (43–70%)n=49 · medium sample |
| USA MLS Next Pro League | 41 | 3.6 | 68% | 59% | 1.2 | 70% | 61% (46–74%)n=41 · medium sample | 51% (37–66%)n=41 · medium sample |
| Argentina Primera C Metropolitana | 40 | 1.8 | 30% | 28% | 0.8 | 60% | 30% (18–45%)n=40 · medium sample | 48% (33–63%)n=40 · medium sample |
| China Division 2 | 37 | 2.2 | 35% | 46% | 1.2 | 72% | 32% (20–49%)n=37 · medium sample | 43% (29–59%)n=37 · medium sample |
| Argentina Nacional B | 35 | 2.3 | 40% | 54% | 1.1 | 71% | 40% (26–56%)n=35 · medium sample | 43% (28–59%)n=35 · medium sample |
| Argentina Primera B Metropolitana | 33 | 2.2 | 46% | 55% | 1.3 | 75% | 49% (33–65%)n=33 · medium sample | 52% (35–68%)n=33 · medium sample |
| Morocco GNF 1 | 32 | 2.4 | 41% | 63% | 1.2 | 63% | 34% (20–52%)n=32 · medium sample | 38% (23–55%)n=32 · medium sample |
| Brazil Serie B | 28 | 2.3 | 43% | 36% | 1.2 | 82% | 68% (49–82%)n=28 · low sample | 36% (21–54%)n=28 · low sample |
| Brazil Serie C | 28 | 2.2 | 39% | 43% | 0.6 | 33% | 39% (24–58%)n=28 · low sample | 46% (30–64%)n=28 · low sample |
| Paraguay Tercera Division | 27 | 2.5 | 41% | 44% | 1.0 | 59% | 37% (22–56%)n=27 · low sample | 56% (37–72%)n=27 · low sample |
| Argentina Championship Women | 26 | 2.1 | 35% | 39% | 0.9 | 58% | 62% (43–78%)n=26 · low sample | 54% (36–71%)n=26 · low sample |
| Australia New South Wales Premier League | 25 | 3.0 | 56% | 56% | 1.2 | 63% | 52% (34–70%)n=25 · low sample | 48% (30–67%)n=25 · low sample |
| Australia New South Wales League 1 | 24 | 3.7 | 71% | 88% | 1.9 | 94% | 54% (35–72%)n=24 · low sample | 50% (31–69%)n=24 · low sample |
| Chile Primera Division Women | 24 | 3.8 | 71% | 50% | 1.5 | 67% | 71% (51–85%)n=24 · low sample | 58% (39–76%)n=24 · low sample |
| Japan Regional League | 24 | 2.6 | 42% | 33% | 0.8 | 56% | 54% (35–72%)n=24 · low sample | 58% (39–76%)n=24 · low sample |
| Australia NPL Victoria | 22 | 2.7 | 55% | 55% | 1.1 | 69% | 50% (31–69%)n=22 · low sample | 41% (23–61%)n=22 · low sample |
| Kazakhstan Premier League | 22 | 2.4 | 46% | 41% | 1.0 | 64% | 55% (35–73%)n=22 · low sample | 46% (27–65%)n=22 · low sample |
| Paraguay Division Intermedia | 22 | 3.0 | 50% | 68% | 1.5 | 77% | 41% (23–61%)n=22 · low sample | 32% (16–53%)n=22 · low sample |
| Peru Copa de la Liga | 22 | 2.7 | 55% | 59% | 1.3 | 60% | 59% (39–77%)n=22 · low sample | 46% (27–65%)n=22 · low sample |
| Australia New South Wales League 2 | 21 | 3.3 | 52% | 57% | 1.3 | 71% | 48% (28–68%)n=21 · low sample | 52% (32–72%)n=21 · low sample |
| Belarus Premier League | 21 | 2.6 | 43% | 48% | 1.7 | 85% | 38% (21–59%)n=21 · low sample | 52% (32–72%)n=21 · low sample |
| Australia New South Wales NPL Women | 20 | 2.6 | 55% | 50% | 1.2 | 64% | 50% (30–70%)n=20 · low sample | 40% (22–61%)n=20 · low sample |
| Australia NPL Victoria Women | 20 | 3.2 | 65% | 60% | 1.5 | 88% | 55% (34–74%)n=20 · low sample | 45% (26–66%)n=20 · low sample |
| USA USL Cup | 20 | 3.3 | 60% | 65% | 1.6 | 74% | 55% (34–74%)n=20 · low sample | 30% (15–52%)n=20 · low sample |
| Australia NPL Queensland | 19 | 3.4 | 63% | 68% | 1.2 | 69% | 42% (23–64%)n=19 · low sample | 42% (23–64%)n=19 · low sample |
| Australia Queensland Premier League | 19 | 2.8 | 47% | 58% | 1.4 | 80% | 53% (32–73%)n=19 · low sample | 63% (41–81%)n=19 · low sample |
| China Division 1 | 19 | 3.5 | 79% | 74% | 0.9 | 55% | 58% (36–77%)n=19 · low sample | 37% (19–59%)n=19 · low sample |
| China Super League | 19 | 3.7 | 74% | 74% | 1.6 | 74% | 74% (51–88%)n=19 · low sample | 42% (23–64%)n=19 · low sample |
| Uruguay Segunda | 19 | 2.3 | 37% | 53% | 1.3 | 75% | 32% (15–54%)n=19 · low sample | 37% (19–59%)n=19 · low sample |
| Australia Queensland Premier League 3 | 18 | 4.0 | 78% | 83% | 2.1 | 100% | 61% (39–80%)n=18 · low sample | 44% (25–66%)n=18 · low sample |
| Chile Segunda | 18 | 2.9 | 61% | 56% | 1.0 | 67% | 56% (34–75%)n=18 · low sample | 56% (34–75%)n=18 · low sample |
| Finland Ykkonen | 18 | 4.2 | 72% | 72% | 1.6 | 85% | 56% (34–75%)n=18 · low sample | 50% (29–71%)n=18 · low sample |
| Iceland 1 Deild | 18 | 3.6 | 50% | 61% | 2.3 | 57% | 44% (25–66%)n=18 · low sample | 33% (16–56%)n=18 · low sample |
| Iceland 2 Deild | 18 | 3.9 | 72% | 72% | 1.8 | 75% | 44% (25–66%)n=18 · low sample | 44% (25–66%)n=18 · low sample |
| Lebanon League | 18 | 3.5 | 67% | 39% | 1.9 | 71% | 78% (55–91%)n=18 · low sample | 56% (34–75%)n=18 · low sample |
| USA NWSL Women | 17 | 2.9 | 53% | 35% | 1.7 | 88% | 53% (31–74%)n=17 · low sample | 35% (17–59%)n=17 · low sample |
| USA USL Championship | 17 | 3.1 | 65% | 77% | 1.4 | 71% | 41% (22–64%)n=17 · low sample | 53% (31–74%)n=17 · low sample |
| USA USL League One | 17 | 2.4 | 53% | 47% | 1.0 | 64% | 53% (31–74%)n=17 · low sample | 65% (41–83%)n=17 · low sample |
| Australia NPL Queensland Women | 16 | 4.2 | 50% | 44% | 2.0 | 88% | 63% (39–82%)n=16 · low sample | 50% (28–72%)n=16 · low sample |
| Ecuador LigaPro Serie A | 16 | 2.3 | 44% | 38% | 1.1 | 81% | 44% (23–67%)n=16 · low sample | 25% (10–50%)n=16 · low sample |
| Iceland Premier League | 16 | 4.1 | 69% | 81% | 1.8 | 81% | 56% (33–77%)n=16 · low sample | 25% (10–50%)n=16 · low sample |
| Morocco GNF 2 | 16 | 2.3 | 31% | 44% | 1.0 | 50% | 50% (28–72%)n=16 · low sample | 69% (44–86%)n=16 · low sample |
| Norway Division 1 | 16 | 4.5 | 81% | 69% | 2.4 | 75% | 56% (33–77%)n=16 · low sample | 56% (33–77%)n=16 · low sample |
| Republic of Ireland First Division | 16 | 2.5 | 38% | 38% | 1.1 | 81% | 56% (33–77%)n=16 · low sample | 50% (28–72%)n=16 · low sample |
| Scotland League Cup | 16 | 3.4 | 63% | 50% | 1.5 | 81% | 75% (51–90%)n=16 · low sample | 44% (23–67%)n=16 · low sample |
| South Korea K League 2 | 16 | 3.1 | 56% | 63% | 1.1 | 75% | 56% (33–77%)n=16 · low sample | 50% (28–72%)n=16 · low sample |
| Tanzania Premier League | 16 | 2.0 | 38% | 25% | 0.7 | 46% | 56% (33–77%)n=16 · low sample | 56% (33–77%)n=16 · low sample |
| Australia Capital Territory Premier League | 15 | 2.7 | 47% | 33% | 1.5 | 100% | 80% (55–93%)n=15 · low sample | 53% (30–75%)n=15 · low sample |
| Australia Northern NSW Premier League | 15 | 4.0 | 87% | 87% | 2.1 | 90% | 73% (48–89%)n=15 · low sample | 47% (25–70%)n=15 · low sample |
| Australia Western Australia State League 1 | 15 | 3.4 | 73% | 67% | 1.8 | 100% | 53% (30–75%)n=15 · low sample | 67% (42–85%)n=15 · low sample |
| Ecuador Primera Women | 15 | 4.6 | 87% | 53% | 2.1 | 82% | 93% (70–99%)n=15 · low sample | 47% (25–70%)n=15 · low sample |
| Finland Kakkonen Group A | 15 | 3.8 | 73% | 67% | 1.6 | 90% | 60% (36–80%)n=15 · low sample | 60% (36–80%)n=15 · low sample |
| Finland Kakkonen Group B | 15 | 3.8 | 67% | 60% | 1.9 | 90% | 60% (36–80%)n=15 · low sample | 47% (25–70%)n=15 · low sample |
| Finland Ykkonen Women | 15 | 3.7 | 73% | 67% | 1.4 | 83% | 47% (25–70%)n=15 · low sample | 40% (20–64%)n=15 · low sample |
| Latvia 1. Liga | 15 | 3.5 | 67% | 67% | 1.3 | 75% | 67% (42–85%)n=15 · low sample | 27% (11–52%)n=15 · low sample |
| Latvia Virsliga | 15 | 2.9 | 60% | 53% | 1.3 | 62% | 47% (25–70%)n=15 · low sample | 80% (55–93%)n=15 · low sample |
| Sweden Allsvenskan | 15 | 3.5 | 67% | 60% | 1.5 | 73% | 53% (30–75%)n=15 · low sample | 60% (36–80%)n=15 · low sample |
| Australia Tasmania Premier League limited data | 14 | 3.0 | 50% | 50% | 1.4 | 67% | n=14insufficient sample | n=14insufficient sample |
| Australia Western Australia Premier League limited data | 14 | 3.6 | 64% | 64% | 1.6 | 88% | n=14insufficient sample | n=14insufficient sample |
| Brazil Campeonato Carioca A2 limited data | 14 | 2.2 | 36% | 43% | 1.0 | 60% | n=14insufficient sample | n=14insufficient sample |
| Finland Kakkonen Group C limited data | 14 | 4.6 | 86% | 57% | 2.1 | 82% | n=14insufficient sample | n=14insufficient sample |
| Finland Veikkausliiga limited data | 14 | 3.1 | 57% | 50% | 1.2 | 71% | n=14insufficient sample | n=14insufficient sample |
| Finland Ykkosliiga limited data | 14 | 3.1 | 57% | 64% | 1.2 | 71% | n=14insufficient sample | n=14insufficient sample |
| New Zealand Northern League limited data | 14 | 3.3 | 71% | 57% | 1.1 | 63% | n=14insufficient sample | n=14insufficient sample |
| South Korea K3 League limited data | 14 | 3.4 | 50% | 71% | 1.1 | 71% | n=14insufficient sample | n=14insufficient sample |
| USA NPSL limited data | 14 | 4.5 | 71% | 64% | 1.7 | 73% | n=14insufficient sample | n=14insufficient sample |
| Australia South Australia State League 1 limited data | 13 | 2.6 | 54% | 23% | 1.1 | 43% | n=13insufficient sample | n=13insufficient sample |
| Australia Victoria Premier League 1 limited data | 13 | 4.8 | 77% | 77% | 2.0 | 85% | n=13insufficient sample | n=13insufficient sample |
| Brazil Catarinense 2 limited data | 13 | 2.8 | 54% | 69% | 0.6 | 46% | n=13insufficient sample | n=13insufficient sample |
| Finland Kansallinen Liiga Women limited data | 13 | 2.9 | 46% | 46% | 1.6 | 82% | n=13insufficient sample | n=13insufficient sample |
| Lithuania 1 Lyga limited data | 13 | 2.0 | 46% | 39% | 1.2 | 80% | n=13insufficient sample | n=13insufficient sample |
| Macau 1st Division limited data | 13 | 5.2 | 92% | 92% | 2.2 | 100% | n=13insufficient sample | n=13insufficient sample |
| Republic of Ireland Premier Division limited data | 13 | 3.4 | 69% | 69% | 1.5 | 100% | n=13insufficient sample | n=13insufficient sample |
| Australia Queensland Premier League Women limited data | 12 | 3.9 | 67% | 50% | 1.9 | 75% | n=12insufficient sample | n=12insufficient sample |
| Australia South Australia Premier League limited data | 12 | 2.7 | 42% | 25% | 1.0 | 50% | n=12insufficient sample | n=12insufficient sample |
| Australia Victoria Premier League 2 limited data | 12 | 3.1 | 50% | 58% | 1.3 | 58% | n=12insufficient sample | n=12insufficient sample |
| Ethiopia Premier League limited data | 12 | 2.1 | 33% | 25% | 1.5 | 100% | n=12insufficient sample | n=12insufficient sample |
| Iceland 3 Deild limited data | 12 | 4.3 | 83% | 75% | 1.4 | 71% | n=12insufficient sample | n=12insufficient sample |
| Mongolia Premier League limited data | 12 | 4.7 | 83% | 75% | 1.7 | 80% | n=12insufficient sample | n=12insufficient sample |
| South Korea K League 1 limited data | 12 | 2.3 | 42% | 58% | 0.7 | 50% | n=12insufficient sample | n=12insufficient sample |
| South Korea K4 League limited data | 12 | 3.3 | 75% | 75% | 1.7 | 100% | n=12insufficient sample | n=12insufficient sample |
| Zimbabwe Premier Soccer League limited data | 12 | 2.3 | 42% | 25% | 1.3 | 75% | n=12insufficient sample | n=12insufficient sample |
| Australia Queensland Premier League 2 limited data | 11 | 4.0 | 82% | 82% | 1.3 | 78% | n=11insufficient sample | n=11insufficient sample |
| Brazil Paulista Serie B limited data | 11 | 2.6 | 55% | 36% | 1.1 | 63% | n=11insufficient sample | n=11insufficient sample |
| China Super League Women limited data | 11 | 1.5 | 9% | 36% | 0.6 | 43% | n=11insufficient sample | n=11insufficient sample |
| Ecuador LigaPro Serie B limited data | 11 | 1.6 | 27% | 27% | 0.7 | 64% | n=11insufficient sample | n=11insufficient sample |
| Estonia Esiliiga limited data | 11 | 4.6 | 91% | 82% | 2.7 | 100% | n=11insufficient sample | n=11insufficient sample |
| Estonia Meistriliiga limited data | 11 | 3.5 | 82% | 73% | 2.5 | 100% | n=11insufficient sample | n=11insufficient sample |
| South Korea Cup limited data | 11 | 2.6 | 55% | 55% | 1.6 | 82% | n=11insufficient sample | n=11insufficient sample |
| Estonia Esiliiga B limited data | 10 | 5.6 | 90% | 90% | 2.7 | 80% | n=10insufficient sample | n=10insufficient sample |
| Faroe Islands Premier League limited data | 10 | 2.8 | 50% | 50% | 1.5 | 75% | n=10insufficient sample | n=10insufficient sample |
| Lithuania A Lyga limited data | 10 | 2.1 | 50% | 40% | 0.9 | 50% | n=10insufficient sample | n=10insufficient sample |
| Malawi Super League limited data | 10 | 1.7 | 30% | 30% | 1.2 | 80% | n=10insufficient sample | n=10insufficient sample |
| Moldova Divizia Nationala limited data | 10 | 2.7 | 70% | 30% | 1.1 | 57% | n=10insufficient sample | n=10insufficient sample |
| New Zealand Central League limited data | 10 | 4.0 | 50% | 50% | 1.5 | 67% | n=10insufficient sample | n=10insufficient sample |
| Paraguay Women League limited data | 10 | 3.0 | 60% | 50% | 1.2 | 67% | n=10insufficient sample | n=10insufficient sample |
| Republic of Ireland National League Women limited data | 10 | 2.8 | 50% | 50% | 1.9 | 100% | n=10insufficient sample | n=10insufficient sample |
| South Africa League Women limited data | 10 | 2.9 | 50% | 30% | 1.6 | 71% | n=10insufficient sample | n=10insufficient sample |
| USA USL W-League Women limited data | 10 | 4.4 | 80% | 50% | 2.0 | 100% | n=10insufficient sample | n=10insufficient sample |
| Australia Capital Territory Premier League Women limited data | 9 | 5.4 | 67% | 33% | 2.0 | 83% | n=9insufficient sample | n=9insufficient sample |
| Australia Darwin Premier League limited data | 9 | 5.3 | 89% | 78% | 1.8 | 100% | n=9insufficient sample | n=9insufficient sample |
| Australia WA Premier League Women limited data | 9 | 2.3 | 44% | 44% | 1.0 | 67% | n=9insufficient sample | n=9insufficient sample |
| Iceland 4 Deild limited data | 9 | 4.4 | 89% | 67% | 2.2 | 100% | n=9insufficient sample | n=9insufficient sample |
| New Zealand Southern League limited data | 9 | 3.4 | 56% | 33% | 0.8 | 75% | n=9insufficient sample | n=9insufficient sample |
| Sweden 1.div Södra limited data | 9 | 3.3 | 67% | 78% | 0.3 | 33% | n=9insufficient sample | n=9insufficient sample |
| Australia SA Premier League Women limited data | 8 | 4.0 | 63% | 50% | 2.8 | 100% | n=8insufficient sample | n=8insufficient sample |
| Australia Tasmania Super League Women limited data | 8 | 3.9 | 75% | 38% | 1.5 | 100% | n=8insufficient sample | n=8insufficient sample |
| Bolivia Primera Division limited data | 8 | 3.4 | 63% | 88% | 1.3 | 75% | n=8insufficient sample | n=8insufficient sample |
| Kuwait League limited data | 8 | 1.9 | 38% | 25% | 0.5 | 33% | n=8insufficient sample | n=8insufficient sample |
| Northern Ireland Championship Women limited data | 8 | 4.0 | 88% | 63% | 1.6 | 71% | n=8insufficient sample | n=8insufficient sample |
| Norway Eliteserien limited data | 8 | 2.9 | 63% | 38% | 1.4 | 75% | n=8insufficient sample | n=8insufficient sample |
| South Korea Women K League limited data | 8 | 2.6 | 63% | 63% | 1.6 | 80% | n=8insufficient sample | n=8insufficient sample |
| Sweden 1.div Norra limited data | 8 | 3.8 | 75% | 63% | – | – | n=8insufficient sample | n=8insufficient sample |
| Sweden 2.div Norra Götaland limited data | 8 | 2.3 | 50% | 50% | 0.0 | 0% | n=8insufficient sample | n=8insufficient sample |
| Sweden 2.div Västra Götaland limited data | 8 | 2.8 | 50% | 50% | – | – | n=8insufficient sample | n=8insufficient sample |
| Sweden Superettan limited data | 8 | 3.8 | 63% | 63% | – | – | n=8insufficient sample | n=8insufficient sample |
| Uruguay Torneo Intermedio limited data | 8 | 1.9 | 25% | 63% | 1.0 | 75% | n=8insufficient sample | n=8insufficient sample |
| Venezuela Cup limited data | 8 | 2.6 | 38% | 50% | – | – | n=8insufficient sample | n=8insufficient sample |
| Canada Premier League limited data | 7 | 4.1 | 100% | 71% | 2.3 | 100% | n=7insufficient sample | n=7insufficient sample |
| Latvia Cup limited data | 7 | 3.1 | 57% | 57% | 1.4 | 71% | n=7insufficient sample | n=7insufficient sample |
| Norway Division 2 Group 1 limited data | 7 | 3.9 | 71% | 71% | – | – | n=7insufficient sample | n=7insufficient sample |
| Norway Division 2 Group 2 limited data | 7 | 3.4 | 57% | 71% | – | – | n=7insufficient sample | n=7insufficient sample |
| Norway Division 3 Group 1 limited data | 7 | 4.0 | 71% | 86% | – | – | n=7insufficient sample | n=7insufficient sample |
| Norway Division 3 Group 4 limited data | 7 | 4.0 | 86% | 86% | – | – | n=7insufficient sample | n=7insufficient sample |
| Norway Division 3 Group 6 limited data | 7 | 4.3 | 71% | 71% | – | – | n=7insufficient sample | n=7insufficient sample |
| Sweden 2.div Norra Svealand limited data | 7 | 3.0 | 71% | 57% | – | – | n=7insufficient sample | n=7insufficient sample |
| Sweden 2.div Södra Svealand limited data | 7 | 4.1 | 86% | 71% | – | – | n=7insufficient sample | n=7insufficient sample |
| Sweden Damallsvenskan limited data | 7 | 3.4 | 57% | 71% | – | – | n=7insufficient sample | n=7insufficient sample |
| Vietnam Championship Women limited data | 7 | 2.4 | 57% | 71% | 1.0 | 67% | n=7insufficient sample | n=7insufficient sample |
| Iceland 1 Deild Women limited data | 6 | 4.2 | 100% | 83% | 0.8 | 50% | n=6insufficient sample | n=6insufficient sample |
| Lithuania II Lyga limited data | 6 | 4.0 | 83% | 67% | 2.7 | 100% | n=6insufficient sample | n=6insufficient sample |
| Northern Ireland Premier League Women limited data | 6 | 5.0 | 100% | 83% | 2.5 | 100% | n=6insufficient sample | n=6insufficient sample |
| Norway Division 3 Group 2 limited data | 6 | 3.8 | 83% | 83% | – | – | n=6insufficient sample | n=6insufficient sample |
| Sweden 2.div Södra Götaland limited data | 6 | 3.5 | 83% | 50% | – | – | n=6insufficient sample | n=6insufficient sample |
| Australia Tasmania Championship limited data | 5 | 5.8 | 100% | 80% | 3.3 | 100% | n=5insufficient sample | n=5insufficient sample |
| Bhutan Premier League limited data | 5 | 3.0 | 40% | 20% | 0.7 | 33% | n=5insufficient sample | n=5insufficient sample |
| Brazil Copa Gaucho limited data | 5 | 1.2 | 0% | 20% | 0.3 | 33% | n=5insufficient sample | n=5insufficient sample |
| Dominica Premier League limited data | 5 | 6.2 | 80% | 60% | 2.4 | 80% | n=5insufficient sample | n=5insufficient sample |
| Faroe Islands Div 1 limited data | 5 | 3.8 | 80% | 80% | 1.0 | 100% | n=5insufficient sample | n=5insufficient sample |
| Finland Cup Women limited data | 5 | 3.6 | 80% | 60% | 2.0 | 80% | n=5insufficient sample | n=5insufficient sample |
| Iceland Lower League Cup limited data | 5 | 3.2 | 60% | 60% | 1.6 | 80% | n=5insufficient sample | n=5insufficient sample |
| Iceland Premier League Women limited data | 5 | 4.4 | 60% | 80% | 2.6 | 100% | n=5insufficient sample | n=5insufficient sample |
| Iran Div 1 limited data | 5 | 2.0 | 20% | 60% | – | – | n=5insufficient sample | n=5insufficient sample |
| Japan L1 League Women limited data | 5 | 1.8 | 40% | 20% | – | – | n=5insufficient sample | n=5insufficient sample |
| Japan L2 League Women limited data | 5 | 3.0 | 60% | 40% | – | – | n=5insufficient sample | n=5insufficient sample |
| Mozambique Mocambola limited data | 5 | 2.2 | 40% | 60% | 1.0 | 50% | n=5insufficient sample | n=5insufficient sample |
| Nicaragua Cup limited data | 5 | 3.2 | 60% | 80% | 0.8 | 60% | n=5insufficient sample | n=5insufficient sample |
| Norway Division 3 Group 5 limited data | 5 | 3.8 | 40% | 80% | – | – | n=5insufficient sample | n=5insufficient sample |
| Peru Campeonato Nacional Women limited data | 5 | 3.4 | 80% | 60% | 1.3 | 100% | n=5insufficient sample | n=5insufficient sample |
| Russia Division 1 limited data | 5 | 4.0 | 100% | 80% | 2.4 | 100% | n=5insufficient sample | n=5insufficient sample |
| Canada Championships limited data | 4 | 3.8 | 100% | 100% | 0.8 | 50% | n=4insufficient sample | n=4insufficient sample |
| Chile Tercera limited data | 4 | 3.5 | 50% | 100% | 1.7 | 67% | n=4insufficient sample | n=4insufficient sample |
| Georgia Super Cup limited data | 4 | 1.5 | 25% | 25% | 1.5 | 50% | n=4insufficient sample | n=4insufficient sample |
| Kyrgyzstan Top Liga limited data | 4 | 2.8 | 50% | 75% | 1.3 | 75% | n=4insufficient sample | n=4insufficient sample |
| Myanmar League Women limited data | 4 | 2.5 | 50% | 75% | 0.3 | 33% | n=4insufficient sample | n=4insufficient sample |
| Norway Division 3 Group 3 limited data | 4 | 5.8 | 75% | 75% | – | – | n=4insufficient sample | n=4insufficient sample |
| Brazil Campeonato Mineiro 2 limited data | 3 | 0.7 | 0% | 0% | – | – | n=3insufficient sample | n=3insufficient sample |
| Brazil Ladies Cup limited data | 3 | 4.0 | 100% | 67% | 3.0 | 100% | n=3insufficient sample | n=3insufficient sample |
| Chile Copa de la Liga limited data | 3 | 1.7 | 33% | 33% | 1.0 | 67% | n=3insufficient sample | n=3insufficient sample |
| China League One Women limited data | 3 | 2.3 | 33% | 67% | 0.7 | 67% | n=3insufficient sample | n=3insufficient sample |
| Malawi Top 8 Cup limited data | 3 | 2.3 | 33% | 67% | 0.7 | 67% | n=3insufficient sample | n=3insufficient sample |
| New Zealand Cup limited data | 3 | 4.3 | 100% | 33% | 1.3 | 100% | n=3insufficient sample | n=3insufficient sample |
| Norway Division 1 Women limited data | 3 | 1.7 | 33% | 0% | – | – | n=3insufficient sample | n=3insufficient sample |
| Sweden 2.div Norrland limited data | 3 | 3.0 | 100% | 33% | – | – | n=3insufficient sample | n=3insufficient sample |
| Uruguay League Women limited data | 3 | 5.7 | 100% | 33% | 2.0 | 100% | n=3insufficient sample | n=3insufficient sample |
| Australia Northern NSW Premier League Women limited data | 2 | 2.0 | 50% | 50% | – | – | n=2insufficient sample | n=2insufficient sample |
| Bolivia Copa Simon Bolivar limited data | 2 | 3.0 | 50% | 50% | 2.0 | 100% | n=2insufficient sample | n=2insufficient sample |
| Brazil Copa Rio limited data | 2 | 3.5 | 50% | 100% | 2.0 | 100% | n=2insufficient sample | n=2insufficient sample |
| Canada Northern Super League Women limited data | 2 | 3.5 | 100% | 100% | 2.0 | 100% | n=2insufficient sample | n=2insufficient sample |
| Chile Ascenso Women limited data | 2 | 3.0 | 100% | 50% | 1.0 | 100% | n=2insufficient sample | n=2insufficient sample |
| Ecuador Cup limited data | 2 | 2.0 | 0% | 50% | 1.5 | 100% | n=2insufficient sample | n=2insufficient sample |
| Faroe Islands Cup limited data | 2 | 3.0 | 50% | 0% | 1.0 | 50% | n=2insufficient sample | n=2insufficient sample |
| Fiji National League limited data | 2 | 3.5 | 100% | 100% | 0.5 | 50% | n=2insufficient sample | n=2insufficient sample |
| Finland Cup limited data | 2 | 4.0 | 100% | 100% | 1.0 | 100% | n=2insufficient sample | n=2insufficient sample |
| Georgia Cup limited data | 2 | 6.5 | 100% | 100% | – | – | n=2insufficient sample | n=2insufficient sample |
| Lithuania A Lyga Women limited data | 2 | 2.5 | 50% | 50% | 0.0 | 0% | n=2insufficient sample | n=2insufficient sample |
| Lithuania Cup limited data | 2 | 2.5 | 50% | 100% | 2.0 | 100% | n=2insufficient sample | n=2insufficient sample |
| Norway Cup Women limited data | 2 | 5.0 | 100% | 50% | – | – | n=2insufficient sample | n=2insufficient sample |
| Paraguay Cup limited data | 2 | 7.0 | 100% | 100% | 2.5 | 100% | n=2insufficient sample | n=2insufficient sample |
| Republic of Ireland FAI Cup Women limited data | 2 | 1.5 | 0% | 0% | 0.5 | 50% | n=2insufficient sample | n=2insufficient sample |
| Tanzania Premier League Play-Offs limited data | 2 | 3.0 | 50% | 0% | 1.0 | 100% | n=2insufficient sample | n=2insufficient sample |
| Argentina Cup limited data | 1 | 1.0 | 0% | 0% | 1.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Aruba Silver League limited data | 1 | 7.0 | 100% | 100% | – | – | n=1insufficient sample | n=1insufficient sample |
| Australia Cup Qualifying limited data | 1 | 2.0 | 0% | 0% | 2.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Australia SA Cup Women limited data | 1 | 3.0 | 100% | 100% | 1.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Australia South Australia Federation Cup limited data | 1 | 4.0 | 100% | 100% | 2.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Australia Victoria Cup limited data | 1 | 1.0 | 0% | 0% | 0.0 | 0% | n=1insufficient sample | n=1insufficient sample |
| Australia Victoria Cup Women limited data | 1 | 4.0 | 100% | 100% | 2.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Brazil Campeonato Carioca C limited data | 1 | 4.0 | 100% | 100% | 1.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Brazil Copa Espirito Santo limited data | 1 | 1.0 | 0% | 0% | 0.0 | 0% | n=1insufficient sample | n=1insufficient sample |
| Brazil Paulista Women limited data | 1 | 3.0 | 100% | 100% | 1.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Brazil Serie A2 Women limited data | 1 | 3.0 | 100% | 100% | 2.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Colombia Regional League limited data | 1 | 4.0 | 100% | 100% | – | – | n=1insufficient sample | n=1insufficient sample |
| Copa do Brazil Women limited data | 1 | 3.0 | 100% | 0% | 1.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Costa Rica Primera Division Women limited data | 1 | 1.0 | 0% | 0% | – | – | n=1insufficient sample | n=1insufficient sample |
| Costa Rica Super Cup limited data | 1 | 1.0 | 0% | 0% | 0.0 | 0% | n=1insufficient sample | n=1insufficient sample |
| Ethiopia Cup limited data | 1 | 2.0 | 0% | 0% | 0.0 | 0% | n=1insufficient sample | n=1insufficient sample |
| Gambia FF Cup limited data | 1 | 2.0 | 0% | 100% | 0.0 | 0% | n=1insufficient sample | n=1insufficient sample |
| Georgia Erovnuli Liga limited data | 1 | 0.0 | 0% | 0% | – | – | n=1insufficient sample | n=1insufficient sample |
| Iceland 5 Deild limited data | 1 | 5.0 | 100% | 100% | – | – | n=1insufficient sample | n=1insufficient sample |
| Iceland Cup limited data | 1 | 3.0 | 100% | 0% | 0.0 | 0% | n=1insufficient sample | n=1insufficient sample |
| Lebanon Cup limited data | 1 | 2.0 | 0% | 0% | 1.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Malaysia President Cup limited data | 1 | 5.0 | 100% | 100% | 2.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Morocco Cup limited data | 1 | 3.0 | 100% | 100% | 2.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Niger Cup limited data | 1 | 4.0 | 100% | 100% | – | – | n=1insufficient sample | n=1insufficient sample |
| Nigeria Cup limited data | 1 | 1.0 | 0% | 0% | 1.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Northern Ireland Charity Shield limited data | 1 | 0.0 | 0% | 0% | 0.0 | 0% | n=1insufficient sample | n=1insufficient sample |
| Northern Ireland County Antrim Shield Women limited data | 1 | 5.0 | 100% | 100% | 2.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Northern Ireland League Cup Women limited data | 1 | 4.0 | 100% | 0% | 2.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Republic of Ireland Leinster Senior Cup limited data | 1 | 3.0 | 100% | 100% | 2.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Romania Supercup limited data | 1 | 2.0 | 0% | 100% | 1.0 | 100% | n=1insufficient sample | n=1insufficient sample |
| Sierra Leone Premier League limited data | 1 | 5.0 | 100% | 0% | – | – | n=1insufficient sample | n=1insufficient sample |
| Tanzania Cup limited data | 1 | 1.0 | 0% | 0% | 0.0 | 0% | n=1insufficient sample | n=1insufficient sample |
| Uruguay Primera Division Amateur limited data | 1 | 3.0 | 100% | 100% | – | – | n=1insufficient sample | n=1insufficient sample |
Frequently asked questions
What does Over/Under 2.5 goals mean?
It is the match goal total: «Over 2.5» wins with 3+ goals; «Under 2.5» with 2 or fewer. You can cross each team's goal average to judge it.
What is BTTS (both teams to score)?
BTTS wins when both teams score at least one goal. Filter by each team's BTTS history to find it.
What is trend strength?
How far our recent-trend estimate (the average of the last 5 and 10 matches) sits from the bookmaker's line. The larger it is, the stronger the signal towards the Over or the Under.
How does BetsTalent calculate probabilities?
With an in-house model: opponent-adjusted Elo and, in football, Poisson/Dixon-Coles with per-team attack and defence. In tennis, Elo by surface. No raw averages.