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Dixon-Coles/Jupiler Pro League

Jupiler Pro League

Dixon-Coles model — fitted 16 Mar 2026 on 1,807 matches since 2020-01-01

Home Advantage (γ)
1.1410
>1 = home favoured
ρ (rho)
-0.05840
low-score correction
Teams modelled
24
Log-likelihood
-432

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
1.7699
0.9814
216
2Gent
1.3974
1.3119
216
3St. Gilloise
1.3701
0.4843
173
4St Truiden
1.3426
1.0693
211
5Genk
1.2943
1.1026
216
6Charleroi
1.2432
1.0752
212
7Waregem
1.1955
1.2633
135
8Cercle Brugge
1.1591
1.3320
211
9Mechelen
1.1510
1.0670
215
10Westerlo
1.1352
1.2133
138
11Anderlecht
1.0399
0.9769
215
12Kortrijk
0.9824
1.3849
182
13Antwerp
0.9718
0.9361
215
14Oud-Heverlee Leuven
0.9405
1.1028
207
15Waasland-Beveren
0.9232
1.8031
42
16Beerschot VA
0.8999
1.4671
104
17Dender
0.8947
1.3893
65
18RWD Molenbeek
0.8694
1.8736
36
19Oostende
0.8684
1.8800
110
20Mouscron
0.7802
1.3866
42
21RAAL La Louviere
0.7715
0.8985
25
22Standard
0.6707
1.0145
214
23Seraing
0.6210
1.6843
68
24Eupen
0.5743
1.4844
146