Premier League
Dixon-Coles model — fitted 16 Mar 2026 on 392 matches since 2020-01-01
Home Advantage (γ)
1.0382
>1 = home favoured
ρ (rho)
-0.02943
low-score correction
Teams modelled
20
Log-likelihood
-301
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 | Shakhtar Donetsk | 2.1353 | 0.5773 | 49 |
| 2 | Loughborough Dynamo | 1.9085 | 0.8677 | 50 |
| 3 | Polissya Zhytomyr | 1.5304 | 0.6879 | 49 |
| 4 | Kryvbas | 1.3676 | 0.9723 | 49 |
| 5 | Epitsentr Dunayivtsi | 1.2496 | 1.3908 | 19 |
| 6 | Zorya Luhansk | 1.2255 | 1.1128 | 49 |
| 7 | LNZ Cherkasy | 1.1790 | 0.6196 | 49 |
| 8 | Kudrivka | 1.1000 | 1.4408 | 19 |
| 9 | Karpaty | 1.0728 | 1.1124 | 49 |
| 10 | Kharkiv | 1.0714 | 0.4935 | 19 |
| 11 | Oleksandria | 0.8931 | 1.0922 | 48 |
| 12 | Veres | 0.8708 | 1.1343 | 49 |
| 13 | Kolos Kovalivka | 0.8486 | 0.8638 | 49 |
| 14 | Poltava | 0.7694 | 2.1815 | 19 |
| 15 | Vorskla | 0.7253 | 1.0839 | 30 |
| 16 | Rukh Vynnyky | 0.7138 | 1.0893 | 49 |
| 17 | Obolon' | 0.6861 | 1.1745 | 49 |
| 18 | Inhulets | 0.6770 | 1.3034 | 30 |
| 19 | Chornomorets | 0.6734 | 1.3635 | 30 |
| 20 | Livyi Bereh | 0.6247 | 1.2528 | 30 |