Basketball
Basketball stats
Objective averages and our prognosis accuracy per competition. The percentages are PROGNOSIS ACCURACY, not profitability or betting value.
Football
Basketball
Handball
Tennis
Baseball
Ice hockey
Volleyball
Table tennis
Esports
Rugby union
Rugby league
Futsal
Cricket
Darts
Badminton
Live tennis
Formula 1
The % is the model's forecast accuracy in each league, not the performance of the recommendations (that lives in the Track record). The history starts in late June, and leagues with few matches don't yet show a percentage.
Filter by league and market, follow your favourite leagues and export them to CSV with Premium.
Go Premium
Swipe the table sideways →
| League | Matches | Points/match | Winner accuracy | Points accuracy |
|---|---|---|---|---|
| Chile LNB | 144 | 162.3 | 76% (69–83%)n=144 · large sample | 79% (57–92%)n=19 · low sample |
| Japan B League Premier | 130 | 168.8 | 67% (59–74%)n=130 · large sample | n=5insufficient sample |
| Uruguay Liga de Ascenso | 121 | 154.9 | 73% (64–80%)n=121 · large sample | n=7insufficient sample |
| El Salvador Liga Mayor | 91 | 161.8 | 69% (59–78%)n=91 · medium sample | n=12insufficient sample |
| Mexico LNBP | 88 | 172.4 | 68% (58–77%)n=88 · medium sample | n=3insufficient sample |
| France Nationale 1 | 83 | 157.0 | 71% (61–80%)n=83 · medium sample | n=9insufficient sample |
| China CBA | 73 | 180.4 | 75% (64–84%)n=73 · medium sample | – |
| Japan B League One | 66 | 164.9 | 70% (58–79%)n=66 · medium sample | n=3insufficient sample |
| Puerto Rico Superior Nacional | 59 | 182.2 | 54% (42–66%)n=59 · medium sample | n=11insufficient sample |
| France Ligue B | 58 | 169.9 | 59% (46–70%)n=58 · medium sample | 53% (30–75%)n=15 · low sample |
| Paraguay Primera | 57 | 159.9 | 84% (73–92%)n=57 · medium sample | n=9insufficient sample |
| Philippines NCAA | 57 | 153.7 | 72% (59–82%)n=57 · medium sample | n=1insufficient sample |
| Germany Bundesliga | 54 | 171.1 | 65% (52–76%)n=54 · medium sample | n=10insufficient sample |
| Australia NBL1 West | 53 | 188.6 | 74% (60–84%)n=53 · medium sample | n=2insufficient sample |
| Australia NBL1 South | 51 | 188.0 | 75% (61–85%)n=51 · medium sample | n=5insufficient sample |
| Korea KBL | 51 | 173.7 | 57% (43–70%)n=51 · medium sample | n=1insufficient sample |
| Australia NBL1 South Women | 50 | 156.7 | 72% (58–83%)n=50 · medium sample | n=3insufficient sample |
| Czechia NBL | 49 | 169.8 | 74% (60–84%)n=49 · medium sample | n=7insufficient sample |
| Australia NBL1 East | 47 | 169.5 | 60% (45–72%)n=47 · medium sample | n=4insufficient sample |
| Brazil FPB | 47 | 155.4 | 79% (65–88%)n=47 · medium sample | n=1insufficient sample |
| Uruguay Liga Women | 47 | 128.2 | 66% (52–78%)n=47 · medium sample | n=4insufficient sample |
| Vietnam VBA | 46 | 174.6 | 80% (67–89%)n=46 · medium sample | n=6insufficient sample |
| Australia NBL1 East Women | 45 | 152.2 | 87% (74–94%)n=45 · medium sample | n=1insufficient sample |
| El Salvador Liga Mayor Women | 45 | 137.4 | 82% (69–91%)n=45 · medium sample | n=6insufficient sample |
| Turkiye TBL | 44 | 155.8 | 71% (56–82%)n=44 · medium sample | n=1insufficient sample |
| Italy Serie A2 | 43 | 151.3 | 65% (50–78%)n=43 · medium sample | n=1insufficient sample |
| Spain Liga ACB | 43 | 185.1 | 65% (50–78%)n=43 · medium sample | – |
| Brazil Paulista FPB U20 | 42 | 146.2 | 91% (78–96%)n=42 · medium sample | n=7insufficient sample |
| El Salvador LNB Segunda | 41 | 148.0 | 83% (69–92%)n=41 · medium sample | n=6insufficient sample |
| New Zealand NBL | 40 | 181.9 | 70% (55–82%)n=40 · medium sample | 67% (42–85%)n=15 · low sample |
| France Ligue A | 39 | 174.2 | 74% (59–85%)n=39 · medium sample | – |
| Hungary NB 1.A | 39 | 175.5 | 82% (67–91%)n=39 · medium sample | n=1insufficient sample |
| Adriatic League | 37 | 170.2 | 78% (63–89%)n=37 · medium sample | – |
| Australia NBL1 North | 37 | 194.2 | 87% (72–94%)n=37 · medium sample | n=2insufficient sample |
| Australia NBL1 North Women | 37 | 163.5 | 65% (49–78%)n=37 · medium sample | n=2insufficient sample |
| Germany Pro A | 37 | 161.8 | 62% (46–76%)n=37 · medium sample | – |
| Puerto Rico Superior Nacional Women | 37 | 146.4 | 62% (46–76%)n=37 · medium sample | n=2insufficient sample |
| Romania LNB | 36 | 177.3 | 64% (48–78%)n=36 · medium sample | – |
| Turkiye BSL | 36 | 164.8 | 69% (53–82%)n=36 · medium sample | – |
| BNXT League | 35 | 160.1 | 66% (49–79%)n=35 · medium sample | n=1insufficient sample |
| Mexico Liga ABE | 35 | 156.1 | 63% (46–77%)n=35 · medium sample | n=3insufficient sample |
| Poland PLK | 35 | 164.5 | 66% (49–79%)n=35 · medium sample | – |
| Italy National Serie B | 34 | 148.7 | 62% (45–76%)n=34 · medium sample | n=2insufficient sample |
| Latvia-Estonia BL | 34 | 160.6 | 85% (70–94%)n=34 · medium sample | – |
| Spain Liga Women | 34 | 139.2 | 68% (51–81%)n=34 · medium sample | – |
| Colombia Liga | 33 | 160.5 | 73% (56–85%)n=33 · medium sample | n=10insufficient sample |
| Brazil NBB | 31 | 155.2 | 77% (60–89%)n=31 · medium sample | – |
| British SLB | 31 | 167.2 | 55% (38–71%)n=31 · medium sample | n=2insufficient sample |
| Lithuania LKL | 31 | 164.5 | 77% (60–89%)n=31 · medium sample | n=4insufficient sample |
| Denmark Basketligaen | 30 | 173.4 | 83% (66–93%)n=30 · medium sample | n=8insufficient sample |
| Croatia A1 Liga | 29 | 163.1 | 76% (58–88%)n=29 · low sample | – |
| Rwanda National League | 29 | 168.4 | 72% (54–85%)n=29 · low sample | n=2insufficient sample |
| Spain Primera FEB | 29 | 167.3 | 76% (58–88%)n=29 · low sample | – |
| Argentina Liga Nacional | 28 | 158.9 | 71% (53–85%)n=28 · low sample | n=3insufficient sample |
| Belgium Top Division 1 | 27 | 161.5 | 63% (44–79%)n=27 · low sample | n=3insufficient sample |
| Italy Lega 1 | 27 | 171.6 | 63% (44–79%)n=27 · low sample | – |
| Australia NBL1 Central | 26 | 185.5 | 73% (54–86%)n=26 · low sample | n=2insufficient sample |
| Australia NBL1 Central Women | 26 | 148.1 | 73% (54–86%)n=26 · low sample | n=1insufficient sample |
| Slovenia SKL | 25 | 154.2 | 72% (52–86%)n=25 · low sample | n=1insufficient sample |
| Lebanon FLB | 24 | 167.6 | 71% (51–85%)n=24 · low sample | n=2insufficient sample |
| Philippines UAAP | 24 | 154.5 | 54% (35–72%)n=24 · low sample | n=1insufficient sample |
| Chile Liga Nacional Women | 23 | 135.2 | 78% (58–90%)n=23 · low sample | n=2insufficient sample |
| Lithuania NKL | 23 | 167.7 | 83% (63–93%)n=23 · low sample | – |
| Russia Superleague | 23 | 165.3 | 70% (49–84%)n=23 · low sample | n=9insufficient sample |
| Australia NBL1 West Women | 22 | 163.4 | 73% (52–87%)n=22 · low sample | n=1insufficient sample |
| Canada EBL | 22 | 183.1 | 77% (57–90%)n=22 · low sample | – |
| China NWBC Women | 22 | 142.7 | 73% (52–87%)n=22 · low sample | n=1insufficient sample |
| Slovakia Extraliga | 22 | 168.5 | 82% (62–93%)n=22 · low sample | n=3insufficient sample |
| Spain Segunda FEB | 22 | 155.9 | 55% (35–73%)n=22 · low sample | – |
| Uganda NBL | 22 | 137.3 | 68% (47–84%)n=22 · low sample | n=1insufficient sample |
| Greece Basket League | 21 | 151.7 | 95% (77–99%)n=21 · low sample | – |
| Uganda NBL Women | 21 | 117.3 | 76% (55–89%)n=21 · low sample | – |
| Israel Super League | 20 | 175.8 | 50% (30–70%)n=20 · low sample | – |
| Japan B League 1 | 20 | 161.1 | 55% (34–74%)n=20 · low sample | – |
| Kenya Premier League Women | 19 | 114.4 | 58% (36–77%)n=19 · low sample | n=1insufficient sample |
| Australia Big V | 18 | 177.0 | 33% (16–56%)n=18 · low sample | – |
| Switzerland LNA | 18 | 155.5 | 94% (74–99%)n=18 · low sample | – |
| Australia Big V Women | 17 | 142.9 | 88% (66–97%)n=17 · low sample | – |
| Australia NBL | 17 | 188.8 | 47% (26–69%)n=17 · low sample | n=1insufficient sample |
| Kenya Premier League | 17 | 140.8 | 71% (47–87%)n=17 · low sample | n=4insufficient sample |
| Austria Bundesliga | 16 | 165.3 | 88% (64–97%)n=16 · low sample | n=2insufficient sample |
| Hungary A Div. Women | 16 | 137.7 | 88% (64–97%)n=16 · low sample | n=2insufficient sample |
| Dominican Republic LNB limited data | 14 | 176.6 | n=14insufficient sample | n=1insufficient sample |
| Rwanda National League Women limited data | 14 | 134.8 | n=14insufficient sample | – |
| Bahrain Premier League limited data | 13 | 169.8 | n=13insufficient sample | – |
| Israel National League limited data | 13 | 162.3 | n=13insufficient sample | n=1insufficient sample |
| Cyprus Division A limited data | 12 | 152.0 | n=12insufficient sample | – |
| France LNB Espoirs U21 limited data | 12 | 152.0 | n=12insufficient sample | n=4insufficient sample |
| Kosovo Superliga limited data | 12 | 160.0 | n=12insufficient sample | – |
| Portugal LBP limited data | 12 | 165.8 | n=12insufficient sample | – |
| Finland Korisliigan limited data | 11 | 181.9 | n=11insufficient sample | – |
| Algeria National A Women limited data | 10 | 110.3 | n=10insufficient sample | n=2insufficient sample |
| Mali Premiere Division limited data | 10 | 127.1 | n=10insufficient sample | n=1insufficient sample |
| Brazil LBF Women limited data | 9 | 137.3 | n=9insufficient sample | – |
| El Salvador Fesabal U21 limited data | 9 | 138.0 | n=9insufficient sample | n=1insufficient sample |
| Georgia Super League limited data | 9 | 161.3 | n=9insufficient sample | n=2insufficient sample |
| Iraq Premier League limited data | 9 | 156.8 | n=9insufficient sample | n=5insufficient sample |
| Poland 1st Division limited data | 9 | 176.0 | n=9insufficient sample | – |
| Sweden Basketligan limited data | 9 | 167.4 | n=9insufficient sample | – |
| Ukraine FBU Superleague limited data | 9 | 153.2 | n=9insufficient sample | n=2insufficient sample |
| Uruguay Liga limited data | 9 | 162.7 | n=9insufficient sample | n=1insufficient sample |
| Hong Kong BL limited data | 8 | 157.0 | n=8insufficient sample | – |
| Mexico CIBAPAC limited data | 8 | 180.0 | n=8insufficient sample | n=1insufficient sample |
| France LFB Women limited data | 7 | 133.4 | n=7insufficient sample | – |
| Senegal Division 1 limited data | 7 | 118.1 | n=7insufficient sample | n=1insufficient sample |
| Senegal Division 1 Women limited data | 7 | 121.1 | n=7insufficient sample | – |
| Sports Based Games limited data | 7 | 121.0 | n=7insufficient sample | – |
| Uganda Div 1 limited data | 7 | 115.0 | n=7insufficient sample | – |
| Basketball Matches limited data | 6 | 147.5 | n=6insufficient sample | – |
| Chile Liga SAESA limited data | 6 | 144.5 | n=6insufficient sample | n=1insufficient sample |
| Chile LNB Segunda limited data | 6 | 154.5 | n=6insufficient sample | – |
| Guatemala LMM limited data | 6 | 162.3 | n=6insufficient sample | – |
| Mexico Liga ABE Women limited data | 6 | 117.8 | n=6insufficient sample | n=1insufficient sample |
| Bulgaria NBL limited data | 5 | 173.6 | n=5insufficient sample | – |
| Japan B League 2 limited data | 5 | 163.6 | n=5insufficient sample | n=1insufficient sample |
| Rwanda BLD2 limited data | 5 | 155.0 | n=5insufficient sample | n=1insufficient sample |
| Tunisia League limited data | 5 | 138.4 | n=5insufficient sample | – |
| Brazil Paulista Women limited data | 4 | 132.5 | n=4insufficient sample | – |
| Chile Liga Desarrollo U21 limited data | 4 | 124.5 | n=4insufficient sample | – |
| Korea WKBL limited data | 4 | 135.0 | n=4insufficient sample | n=1insufficient sample |
| Nicaragua Torneo Carlos Ulloa limited data | 4 | 165.5 | n=4insufficient sample | – |
| North Macedonia Prva League limited data | 4 | 167.8 | n=4insufficient sample | – |
| Norway Ligaen limited data | 4 | 184.8 | n=4insufficient sample | n=2insufficient sample |
| Paraguay LNCF Women limited data | 4 | 127.3 | n=4insufficient sample | – |
| Slovakia Extraliga Women limited data | 4 | 132.5 | n=4insufficient sample | – |
| Taiwan TPBL limited data | 4 | 186.8 | n=4insufficient sample | – |
| Australia NBL1 limited data | 3 | 181.3 | n=3insufficient sample | – |
| Australia NBL1 Women limited data | 3 | 139.3 | n=3insufficient sample | – |
| Brazil Copa Sao Paulo limited data | 3 | 145.3 | n=3insufficient sample | – |
| Brazil LDB U22 limited data | 3 | 163.3 | n=3insufficient sample | – |
| Indonesia IBL limited data | 3 | 139.0 | n=3insufficient sample | n=1insufficient sample |
| Japan B League Next limited data | 3 | 151.0 | n=3insufficient sample | – |
| Kazakhstan National League limited data | 3 | 142.7 | n=3insufficient sample | – |
| Mali Ligue 1 Women limited data | 3 | 110.3 | n=3insufficient sample | n=2insufficient sample |
| Mozambique LMB limited data | 3 | 130.0 | n=3insufficient sample | n=1insufficient sample |
| Philippines UAAP Women limited data | 3 | 146.7 | n=3insufficient sample | – |
| Poland BLK Women limited data | 3 | 138.7 | n=3insufficient sample | – |
| Sweden Superettan limited data | 3 | 171.0 | n=3insufficient sample | – |
| Syria League limited data | 3 | 163.0 | n=3insufficient sample | – |
| Uganda Div 1 Women limited data | 3 | 126.7 | n=3insufficient sample | – |
| Belize Elite League limited data | 2 | 139.5 | n=2insufficient sample | – |
| China CBA Summer League limited data | 2 | 152.0 | n=2insufficient sample | – |
| Chinese Taipei P League limited data | 2 | 196.5 | n=2insufficient sample | n=1insufficient sample |
| Serbia 1ZLS Women limited data | 2 | 170.5 | n=2insufficient sample | – |
| Slovenia 1. Women limited data | 2 | 130.5 | n=2insufficient sample | – |
| Switzerland NLB limited data | 2 | 169.0 | n=2insufficient sample | – |
| Switzerland SB League Women limited data | 2 | 163.0 | n=2insufficient sample | n=1insufficient sample |
| Turkiye TKBSL Women limited data | 2 | 123.0 | n=2insufficient sample | – |
| Argentina La Liga limited data | 1 | 157.0 | n=1insufficient sample | – |
| Argentina La Liga Federal limited data | 1 | 102.0 | n=1insufficient sample | n=1insufficient sample |
| Brazil Camp.Carioca U22 limited data | 1 | 144.0 | n=1insufficient sample | – |
| Brazil Campeonato FCB limited data | 1 | 139.0 | n=1insufficient sample | – |
| Brazil Paulista U20 Women limited data | 1 | 112.0 | n=1insufficient sample | n=1insufficient sample |
| Croatia A1 Women limited data | 1 | 160.0 | n=1insufficient sample | – |
| Denmark Basketligaen Women limited data | 1 | 124.0 | n=1insufficient sample | n=1insufficient sample |
| Iceland Premier League limited data | 1 | 167.0 | n=1insufficient sample | – |
| Iceland Premier League Women limited data | 1 | 152.0 | n=1insufficient sample | – |
| Mexico CIBACOPA limited data | 1 | 137.0 | n=1insufficient sample | n=1insufficient sample |
| Morocco League limited data | 1 | 150.0 | n=1insufficient sample | – |
| Portugal Nacional Liga Women limited data | 1 | 114.0 | n=1insufficient sample | – |
| Turkiye TKBL Women limited data | 1 | 143.0 | n=1insufficient sample | – |
| West Asia Super League limited data | 1 | 142.0 | n=1insufficient sample | – |
Frequently asked questions
What does Over/Under points mean?
It is the game's total points against a line. Cross each team's pace and recent points for/against.
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.