⚽ FootballData
Dixon-Coles/Championship

Championship

Dixon-Coles model — fitted 16 Mar 2026 on 3,558 matches since 2020-01-01

Home Advantage (γ)
1.1888
>1 = home favoured
ρ (rho)
-0.08416
low-score correction
Teams modelled
44
Log-likelihood
-1125

Team Parameters

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

#TeamAttack (α)Defense (β)Matches
1Leeds
1.7275
0.6184
115
2Fulham
1.7199
0.8714
65
3Coventry
1.5748
0.9508
272
4Ipswich
1.4670
0.8987
86
5Burnley
1.4558
0.3096
95
6Southampton
1.4316
1.0892
84
7Bournemouth
1.3068
0.8048
89
8Wrexham
1.3012
1.1427
41
9Middlesbrough
1.2676
0.8915
289
10Nott'm Forest
1.2597
0.7406
114
11Norwich
1.2117
1.0482
224
12Sheffield United
1.2055
0.9937
181
13Hull
1.1815
1.2172
243
14Derby
1.1539
1.0712
198
15Leicester
1.1446
1.4004
85
16Millwall
1.1306
0.9283
291
17QPR
1.0961
1.2209
283
18Queens Park Rangers
1.0554
1.3346
84
19Brentford
1.0329
0.9583
64
20Birmingham
1.0204
1.0970
240
21Bristol City
1.0135
1.1235
294
22Swansea
1.0119
1.0149
292
23Watford
0.9930
1.0763
223
24Sunderland
0.9412
0.8565
143
25Plymouth
0.9340
1.5691
96
26Stoke
0.9288
0.9647
289
27Preston
0.9177
1.1579
290
28West Brom
0.8894
1.1658
246
29Blackpool
0.8879
1.3856
89
30Huddersfield
0.8624
1.4322
197
31Luton
0.8566
1.2087
205
32Portsmouth
0.8562
1.1108
90
33Cardiff
0.8449
1.3315
247
34Reading
0.8185
1.3637
155
35Blackburn
0.8124
1.0322
292
36Peterboro
0.8097
1.6268
44
37Oxford
0.7868
1.0607
91
38Wycombe
0.7709
1.0478
44
39Charlton
0.7621
0.9645
62
40Barnsley
0.7245
1.3519
109
41Rotherham
0.6537
1.5530
134
42Wigan
0.6105
1.1579
66
43Sheffield Weds
0.6019
1.6005
191
44Sheffield Wednesday
0.5874
1.5876
84