Super League
Dixon-Coles model — fitted 16 Mar 2026 on 389 matches since 2020-01-01
Home Advantage (γ)
1.2132
>1 = home favoured
ρ (rho)
-0.17681
low-score correction
Teams modelled
13
Log-likelihood
-404
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 | Thun | 1.4697 | 0.9248 | 29 |
| 2 | Luzern | 1.3379 | 1.6336 | 65 |
| 3 | Holker Old Boys | 1.2779 | 1.5299 | 64 |
| 4 | St. Gallen | 1.1498 | 1.1073 | 65 |
| 5 | Servette | 1.0750 | 1.4998 | 64 |
| 6 | Basel | 1.0606 | 1.1743 | 65 |
| 7 | Lausanne Sport | 1.0401 | 1.3962 | 65 |
| 8 | Lugano | 0.9632 | 1.1137 | 65 |
| 9 | Zürich | 0.8882 | 1.6563 | 65 |
| 10 | Sion | 0.8186 | 1.0321 | 65 |
| 11 | Grasshopper | 0.7795 | 1.3848 | 65 |
| 12 | Inter | 0.7597 | 2.0832 | 65 |
| 13 | Yverdon Sport | 0.7038 | 1.7360 | 36 |