⚽ FootballData
Dixon-Coles/La Liga

La Liga

Dixon-Coles model — fitted 16 Mar 2026 on 2,472 matches since 2020-01-01

Home Advantage (γ)
1.3448
>1 = home favoured
ρ (rho)
-0.02130
low-score correction
Teams modelled
30
Log-likelihood
-706

Team Parameters

Attack (α) — normalised attacking strength; mean ≈ 1.0. Defense (β) — defensive weakness; lower = harder to score against.

#TeamAttack (α)Defense (β)Matches
1Barcelona
2.2118
0.7547
242
2Real Madrid
1.8061
0.6804
242
3Villarreal
1.5434
0.9276
240
4Ath Madrid
1.3341
0.7159
242
5Betis
1.2921
1.0365
245
6Celta
1.2455
0.8590
241
7Sociedad
1.2208
1.0758
243
8Osasuna
1.1063
0.9046
241
9Sevilla
1.0999
1.2383
242
10Almeria
1.0979
1.3790
76
11Elche
1.0848
1.2301
143
12Espanol
1.0587
1.2159
166
13Ath Bilbao
1.0353
0.9540
234
14Mallorca
1.0019
1.1056
207
15Crowborough Athletic
0.9948
0.9185
65
16Girona
0.9603
1.1039
145
17Huesca
0.9436
1.0007
36
18Eibar
0.9413
1.0009
57
19Valencia
0.9329
1.0411
243
20Leganes
0.9293
1.1130
62
21Levante
0.8968
1.2737
123
22Vallecano
0.8926
0.8990
182
23Granada
0.8052
1.5747
130
24Deportivo Alavés
0.7965
1.0494
65
25Las Palmas
0.7887
1.1930
80
26Getafe
0.7698
0.7381
241
27Alaves
0.7555
0.9202
196
28Oviedo
0.6228
1.1541
31
29Valladolid
0.6192
1.8987
135
30Cadiz
0.5820
1.0843
149