Superliga
Dixon-Coles model — fitted 16 Mar 2026 on 313 matches since 2020-01-01
Home Advantage (γ)
1.1506
>1 = home favoured
ρ (rho)
-0.08107
low-score correction
Teams modelled
13
Log-likelihood
-273
Team Parameters
Attack (α) — normalised attacking strength; mean ≈ 1.0. Defense (β) — defensive weakness; lower = harder to score against.
| # | Team | Attack (α) | Defense (β) | Matches |
|---|---|---|---|---|
| 1 | FC Koln | 1.4530 | 1.0655 | 104 |
| 2 | AGF | 1.3819 | 1.0504 | 52 |
| 3 | Nordsjælland | 1.2516 | 1.4712 | 52 |
| 4 | Viborg FF | 1.2173 | 1.3414 | 52 |
| 5 | Odense BK | 1.1343 | 1.6429 | 22 |
| 6 | Sønderjyske Fodbold | 1.0376 | 1.1201 | 52 |
| 7 | Fredericia | 1.0255 | 1.7934 | 22 |
| 8 | Brøndby IF | 0.9454 | 0.8719 | 52 |
| 9 | Vejle Boldklub | 0.8837 | 1.7483 | 52 |
| 10 | Pau FC | 0.8495 | 1.0842 | 53 |
| 11 | Silkeborg IF | 0.8284 | 1.5581 | 53 |
| 12 | Aalborg BK | 0.7763 | 2.0637 | 30 |
| 13 | Lyngby Boldklub | 0.5935 | 1.2617 | 30 |