Swedish Allsvenskan: power rankings
Season 2026 · updated 14 October 2026
The strongest side by the model is Hammarby: +0.94 goals per game against an average opponent. Biggest climber of the week: IFK Göteborg (+1). GAIS are 10th in the table but 5th by strength — better than their points.
- Best attackHammarby1.91 goals per game
- Best defenceHammarby0.96 conceded per game
- Climber of the weekIFK Göteborg▲1 · now 9
- Faller of the weekVästerås SK▼2 · now 11
Ranking
Rating — goal difference per game against an average opponent at a neutral venue. ▲▼ — places gained or lost in a week.
| # | Team | Rating | Att. | Def. | Table | Form | Next |
|---|---|---|---|---|---|---|---|
| 1 | Hammarby | +0.94 | 1.91 | 0.96 | 3 | LWWDL | 18 October · at Halmstads BK (16) |
| 2 | Djurgården | +0.74 | 1.76 | 1.02 | 2 | WLWWW | 16 October · at Brommapojkarna (8) |
| 3 | Sirius | +0.66 | 1.79 | 1.13 | 1 | WWWWL | 18 October · Elfsborg (6) |
| 4 | Häcken | +0.47 | 1.62 | 1.15 | 5 | WWDDL | 18 October · at Malmö FF (7) |
| 5 | GAIS | +0.27 | 1.33 | 1.06 | 10 | LWLDW | 18 October · at Örgryte (15) |
| 6 | Elfsborg | +0.25 | 1.33 | 1.08 | 4 | WWWLW | 18 October · at Sirius (3) |
| 7 | Malmö FF | +0.04 | 1.38 | 1.35 | 6 | WLWDW | 18 October · Häcken (4) |
| 8 | Brommapojkarna | −0.07 | 1.34 | 1.41 | 11 | WLLWL | 16 October · Djurgården (2) |
| 9▲1 | IFK Göteborg | −0.14 | 1.35 | 1.49 | 8 | WWWWW | 17 October · at AIK (12) |
| 10▲1 | Kalmar FF | −0.15 | 1.08 | 1.23 | 14 | LLLLL | 19 October · at Degerfors (14) |
| 11▼2 | Västerås SK | −0.15 | 1.25 | 1.40 | 7 | LWWLW | 18 October · Mjällby (13) |
| 12 | AIK | −0.19 | 1.39 | 1.58 | 9 | LLDLD | 17 October · IFK Göteborg (9) |
| 13 | Mjällby | −0.42 | 1.16 | 1.58 | 12 | DLDDL | 18 October · at Västerås SK (11) |
| 14 | Degerfors | −0.45 | 0.89 | 1.34 | 13 | DLLWL | 19 October · Kalmar FF (10) |
| 15 | Örgryte | −0.78 | 1.03 | 1.81 | 15 | LLLDL | 18 October · GAIS (5) |
| 16 | Halmstads BK | −0.91 | 0.90 | 1.81 | 16 | LWLLW | 18 October · Hammarby (1) |
How it is calculated
Only this season counts. The model rates every team’s attack and defence from this season’s matches — by expected goals (xG, the quality of chances) and actual goals, 60 to 40 — taking into account how strong the opponents were. The rating is the goal difference per game it expects against an average team of the league at a neutral venue. Every team starts with three games of league-average form, so a couple of lucky results early on do not make a leader.
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