⚽ FootballData
Dixon-Coles/Pro League

Pro League

Dixon-Coles model — fitted 16 Mar 2026 on 530 matches since 2020-01-01

Home Advantage (γ)
1.1069
>1 = home favoured
ρ (rho)
-0.03734
low-score correction
Teams modelled
18
Log-likelihood
-478

Team Parameters

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

#TeamAttack (α)Defense (β)Matches
1Club Brugge
1.6089
1.1263
68
2Sint-Truiden
1.2683
1.1709
63
3Union Berlin
1.2150
0.5343
67
4Genk
1.1919
1.2755
67
5Anderlecht
1.1823
1.1502
67
6Gent
1.1801
1.4721
67
7Charleroi
1.0897
1.2946
68
8Mechelen
1.0700
1.2098
67
9Waregem
1.0525
1.5585
28
10Westerlo
0.9980
1.2073
68
11Kortrijk
0.9785
1.5323
35
12Cercle Brugge
0.9546
1.3685
63
13Antwerp
0.8556
0.9890
67
14Oud-Heverlee Leuven
0.8544
1.2916
68
15K. Beerschot V.A.
0.8438
1.6374
35
16Dender
0.8050
1.5747
67
17Standard
0.6773
1.0209
67
18La Louvière
0.6303
1.0107
28