Handball
Handball stats
Objective averages and our prognosis accuracy per competition. The percentages are PROGNOSIS ACCURACY, not profitability or betting value.
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Handball
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Formula 1
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 | Points/match | Winner accuracy | Points accuracy |
|---|---|---|---|---|
| Germany Bundesliga | 28 | 59.8 | 75% (57–87%)n=28 · low sample | – |
| Denmark Handboldligaen | 26 | 57.2 | 58% (39–75%)n=26 · low sample | n=5insufficient sample |
| Denmark Handboldligaen Women | 24 | 54.9 | 83% (64–93%)n=24 · low sample | n=4insufficient sample |
| Switzerland MNLA | 19 | 60.2 | 79% (57–92%)n=19 · low sample | n=8insufficient sample |
| Germany 2 Bundesliga | 16 | 56.7 | 81% (57–93%)n=16 · low sample | n=3insufficient sample |
| Germany Bundesliga Women | 15 | 59.9 | 80% (55–93%)n=15 · low sample | n=5insufficient sample |
| Argentina LHC Oro Apertura | 14 | 54.4 | n=14insufficient sample | n=5insufficient sample |
| Germany 2 Bundesliga Women | 14 | 55.9 | n=14insufficient sample | n=5insufficient sample |
| Norway Eliteserien Women | 14 | 52.4 | n=14insufficient sample | – |
| Slovenia Prva Liga | 14 | 56.5 | n=14insufficient sample | n=2insufficient sample |
| Norway Eliteserien | 13 | 51.2 | n=13insufficient sample | n=1insufficient sample |
| France Division 1 Women | 12 | 56.6 | n=12insufficient sample | n=3insufficient sample |
| France Starligue | 12 | 58.8 | n=12insufficient sample | n=3insufficient sample |
| Spain Liga Guerreras Women | 11 | 44.8 | n=11insufficient sample | n=1insufficient sample |
| Czechia Extraliga | 10 | 59.7 | n=10insufficient sample | n=2insufficient sample |
| Hungary NB1 | 10 | 54.6 | n=10insufficient sample | – |
| Hungary NB1 Women | 10 | 55.7 | n=10insufficient sample | – |
| MOL Liga Women | 10 | 57.3 | n=10insufficient sample | n=4insufficient sample |
| Portugal Liga Andebol | 10 | 57.5 | n=10insufficient sample | n=3insufficient sample |
| Argentina LHC Plata Apertura | 9 | 51.7 | n=9insufficient sample | n=1insufficient sample |
| Austria HLA | 9 | 56.8 | n=9insufficient sample | n=1insufficient sample |
| France Proligue | 9 | 58.2 | n=9insufficient sample | n=2insufficient sample |
| Poland SuperLiga | 9 | 55.9 | n=9insufficient sample | n=2insufficient sample |
| Romania Liga Nationala Women | 9 | 54.6 | n=9insufficient sample | – |
| Angola Campeonato Nacional | 6 | 42.7 | n=6insufficient sample | n=6insufficient sample |
| Portugal 1st Div Women | 6 | 47.3 | n=6insufficient sample | n=1insufficient sample |
| Spain Liga Asobal | 6 | 60.0 | n=6insufficient sample | n=2insufficient sample |
| Germany Cup Women | 5 | 47.6 | n=5insufficient sample | – |
| Norway 1st Division | 5 | 56.0 | n=5insufficient sample | n=1insufficient sample |
| Norway 1st Division Women | 5 | 55.8 | n=5insufficient sample | n=1insufficient sample |
| Poland SuperLiga Women | 5 | 52.8 | n=5insufficient sample | n=2insufficient sample |
| Romania Liga Nationala | 5 | 41.6 | n=5insufficient sample | – |
| Argentina LHC Oro Clausura | 4 | 38.5 | n=4insufficient sample | – |
| Argentina LHC Plata Clausura | 4 | 54.3 | n=4insufficient sample | – |
| Brazil Camp. de Clubes Women | 3 | 47.0 | n=3insufficient sample | – |
| Brazil Super Paulista | 3 | 53.3 | n=3insufficient sample | – |
| Germany DHB Pokal | 3 | 59.0 | n=3insufficient sample | – |
| Hungary NB1/B | 3 | 59.7 | n=3insufficient sample | n=1insufficient sample |
| Rwanda National League | 3 | 59.3 | n=3insufficient sample | n=1insufficient sample |
| Slovenia Prva Liga Women | 3 | 57.0 | n=3insufficient sample | – |
| Austria HLA2 | 2 | 60.5 | n=2insufficient sample | n=1insufficient sample |
| Angola Cup Women | 1 | 53.0 | n=1insufficient sample | – |
| Argentina LHD Oro Apertura Women | 1 | 47.0 | n=1insufficient sample | n=1insufficient sample |
| Argentina LHD Plata Apertura Women | 1 | 60.0 | n=1insufficient sample | – |
| Austria WHA Women | 1 | 48.0 | n=1insufficient sample | – |
| Brazil Liga Nacional | 1 | 55.0 | n=1insufficient sample | – |
| Croatia 1st League Women | 1 | 53.0 | n=1insufficient sample | – |
| Denmark 1st Division | 1 | 61.0 | n=1insufficient sample | – |
| Denmark Super Cup | 1 | 59.0 | n=1insufficient sample | – |
| Finland SM Liga | 1 | 59.0 | n=1insufficient sample | – |
| Germany Super Cup | 1 | 69.0 | n=1insufficient sample | – |
| Iceland Olis Deildin Women | 1 | 58.0 | n=1insufficient sample | – |
| Senegal Championnat Elite | 1 | 51.0 | n=1insufficient sample | – |
| Senegal Championnat Elite Women | 1 | 61.0 | n=1insufficient sample | – |
| Serbia Superliga Women | 1 | 39.0 | n=1insufficient sample | n=1insufficient sample |
| Turkiye Superlig | 1 | 60.0 | n=1insufficient sample | – |
| Türkiye Superlig Women | 1 | 57.0 | n=1insufficient sample | – |
Frequently asked questions
What does Over/Under goals mean?
It is the match total goals against a line. Cross each team's recent goals for and 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.

