Handball

Handball stats

Objective averages and our prognosis accuracy per competition. The percentages are PROGNOSIS ACCURACY, not profitability or betting value.

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.

Handball: limited data coverage — still few matches per league, so we don't show an accuracy percentage yet.

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Sort by: Updated 05/11, 04:00

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League Matches Points/match Winner accuracy Points accuracy
Germany Bundesliga 78 60.7 76% (65–84%)n=78 · medium sample n=6insufficient sample
Denmark Handboldligaen 68 61.6 69% (57–79%)n=68 · medium sample n=7insufficient sample
Czechia Extraliga 55 59.4 73% (60–83%)n=55 · medium sample n=14insufficient sample
France Starligue 54 61.6 69% (55–79%)n=54 · medium sample n=6insufficient sample
Switzerland MNLA 53 60.8 81% (69–89%)n=53 · medium sample 50% (28–72%)n=16 · low sample
Germany 2 Bundesliga 52 59.6 73% (60–83%)n=52 · medium sample n=7insufficient sample
Denmark Handboldligaen Women 50 56.1 78% (65–87%)n=50 · medium sample n=5insufficient sample
Slovenia Prva Liga 50 59.0 74% (60–84%)n=50 · medium sample n=10insufficient sample
Spain Liga Asobal 48 64.8 65% (50–77%)n=48 · medium sample n=5insufficient sample
Norway Eliteserien 45 56.3 64% (50–77%)n=45 · medium sample n=5insufficient sample
Portugal Liga Andebol 43 59.5 77% (62–87%)n=43 · medium sample n=14insufficient sample
Austria HLA 42 59.2 48% (33–62%)n=42 · medium sample n=9insufficient sample
Germany 2 Bundesliga Women 42 59.1 79% (64–88%)n=42 · medium sample n=13insufficient sample
France Division 1 Women 41 56.5 71% (56–82%)n=41 · medium sample n=8insufficient sample
Norway Eliteserien Women 41 57.1 78% (63–88%)n=41 · medium sample n=1insufficient sample
France Proligue 40 61.1 63% (47–76%)n=40 · medium sample n=6insufficient sample
Hungary NB1 40 58.3 63% (47–76%)n=40 · medium sample –
Poland SuperLiga 40 59.6 78% (63–88%)n=40 · medium sample n=5insufficient sample
Germany Bundesliga Women 38 61.0 76% (61–87%)n=38 · medium sample n=6insufficient sample
Hungary NB1 Women 37 60.2 73% (57–85%)n=37 · medium sample n=4insufficient sample
Sweden Handbollsligan 35 60.5 71% (55–84%)n=35 · medium sample n=1insufficient sample
MOL Liga Women 32 57.3 63% (45–77%)n=32 · medium sample n=14insufficient sample
Romania Liga Nationala Women 32 54.9 72% (55–84%)n=32 · medium sample n=1insufficient sample
Spain Liga Guerreras Women 26 45.9 81% (62–92%)n=26 · low sample n=2insufficient sample
Portugal 2a Divisao 25 56.9 52% (34–70%)n=25 · low sample n=13insufficient sample
Norway 1st Division 24 58.5 83% (64–93%)n=24 · low sample n=5insufficient sample
Norway 1st Division Women 23 59.7 57% (37–74%)n=23 · low sample n=9insufficient sample
Slovenia Prva Liga Women 22 55.9 86% (67–95%)n=22 · low sample n=3insufficient sample
Romania Liga Nationala 21 53.6 67% (45–83%)n=21 · low sample n=2insufficient sample
Poland SuperLiga Women 20 54.8 80% (58–92%)n=20 · low sample n=5insufficient sample
Portugal 1st Div Women 20 51.2 65% (43–82%)n=20 · low sample n=5insufficient sample
Sweden Handbollsligan Women 20 56.8 60% (39–78%)n=20 · low sample –
Serbia Superliga Women 16 54.3 75% (51–90%)n=16 · low sample n=3insufficient sample
Argentina LHC Oro Apertura 14 54.4 n=14insufficient sample n=5insufficient sample
Croatia 1st League Women 13 57.5 n=13insufficient sample n=3insufficient sample
Hungary NB1/B 13 60.6 n=13insufficient sample n=2insufficient sample
Iceland Úrvalsdeild 13 65.2 n=13insufficient sample n=1insufficient sample
Brazil Super Paulista 12 57.4 n=12insufficient sample n=4insufficient sample
Argentina LHC Oro Clausura 10 45.8 n=10insufficient sample –
Austria HLA2 10 58.8 n=10insufficient sample n=6insufficient sample
Denmark 1st Division 10 65.2 n=10insufficient sample n=1insufficient sample
Serbia Superliga 10 61.1 n=10insufficient sample n=2insufficient sample
Argentina LHC Plata Apertura 9 51.7 n=9insufficient sample n=1insufficient sample
Japan League 7 58.6 n=7insufficient sample n=1insufficient sample
Turkiye Superlig 7 68.0 n=7insufficient sample –
Angola Campeonato Nacional 6 42.7 n=6insufficient sample n=6insufficient sample
Argentina LHC Plata Clausura 6 56.5 n=6insufficient sample –
Austria WHA Women 6 56.5 n=6insufficient sample n=1insufficient sample
Finland SM Liga 6 62.0 n=6insufficient sample –
Portugal Divisao de Honra 6 54.0 n=6insufficient sample n=2insufficient sample
Slovakia Extraliga 6 59.2 n=6insufficient sample n=1insufficient sample
Germany Cup Women 5 47.6 n=5insufficient sample –
Iceland Olis Deildin Women 4 56.3 n=4insufficient sample n=1insufficient sample
Poland Central League 4 55.5 n=4insufficient sample n=1insufficient sample
Poland Central League Women 4 53.3 n=4insufficient sample –
Brazil Camp. de Clubes Women 3 47.0 n=3insufficient sample –
Brazil Liga Nacional 3 43.7 n=3insufficient sample –
Germany DHB Pokal 3 59.0 n=3insufficient sample –
Rwanda National League 3 59.3 n=3insufficient sample n=1insufficient sample
Spain Div. Honor Plata 3 55.3 n=3insufficient sample n=1insufficient sample
Türkiye Superlig Women 3 44.3 n=3insufficient sample n=1insufficient sample
Argentina LHD Oro Clausura Women 2 50.5 n=2insufficient sample –
Croatia Premijer Liga 2 57.0 n=2insufficient sample –
Portugal Divisao de Honra Women 2 64.0 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 –
Brazil Super Paulista U21 1 52.0 n=1insufficient sample –
Denmark 1st Division Women 1 39.0 n=1insufficient sample n=1insufficient sample
Denmark Super Cup 1 59.0 n=1insufficient sample –
Estonia Meistriliiga 1 56.0 n=1insufficient sample –
Germany Super Cup 1 69.0 n=1insufficient sample –
Greece A1 Women 1 46.0 n=1insufficient sample –
Israel Premier League 1 59.0 n=1insufficient sample –
Senegal Championnat Elite 1 51.0 n=1insufficient sample –
Senegal Championnat Elite Women 1 61.0 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.