Allsvenskan
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
Unlock with ProAlready have an account? Log in
AIK
Oster
Expected goals, over/under and both teams to score — priced by the model before kick-off.
Unlock with ProAlready have an account? Log in
The model's top final scores with the best bookmaker odds.
Unlock with ProAlready have an account? Log in
Half-time score: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Mjallby
|
17 | 12 | 4 | 1 | +20 | +2.6 | 40 |
| 2 |
Hammarby
|
17 | 11 | 3 | 3 | +17 | +11.6 | 36 |
| 3 |
Malmo FF
|
18 | 9 | 6 | 3 | +14 | +10.5 | 33 |
| 4 |
AIK
|
17 | 9 | 5 | 3 | +8 | +3.2 | 32 |
| 5 |
GAIS
|
17 | 8 | 7 | 2 | +14 | +7.2 | 31 |
| 6 |
Elfsborg
|
16 | 9 | 2 | 5 | +8 | +3.4 | 29 |
| 7 |
Goteborg
|
16 | 8 | 1 | 7 | -1 | +0.8 | 25 |
| 8 |
Hacken
|
16 | 6 | 4 | 6 | -1 | +2.4 | 22 |
| 9 |
Djurgarden
|
16 | 6 | 4 | 6 | -2 | +2.7 | 22 |
| 10 |
Brommapojkarna
|
17 | 6 | 1 | 10 | -2 | +0.0 | 19 |
| 11 |
Norrkoping
|
17 | 5 | 4 | 8 | -4 | -10.8 | 19 |
| 12 |
Halmstad
|
17 | 5 | 2 | 10 | -20 | -10.8 | 17 |
| 13 |
Degerfors
|
17 | 4 | 2 | 11 | -18 | -1.3 | 14 |
| 14 |
Sirius
|
16 | 3 | 4 | 9 | -7 | -4.7 | 13 |
| 15 |
Oster
|
16 | 3 | 3 | 10 | -11 | -9.1 | 12 |
| 16 |
Varnamo
|
16 | 1 | 4 | 11 | -15 | -7.7 | 7 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
K. Joelsson
G
S. Papagiannopoulos
D
T. Isherwood
D
M. Thychosen
M
A. Ali
M
A. Csongvai
M
Y. Geiger
T. Ayari
F
B. Celina
F
E. Flataker
F
Coach: Mikkjal Kjartansson Thomassen
R. Wallinder
G
L. Bergquist
D
A. Suhonen
M
Coach: Carl Roberth Björknesjö
Green columns are the outcomes that came in.
Paide
AIK
Mjallby
AIK
AIK
Degerfors
Halmstad
AIK
AIK
Goteborg
Victor Wolf · 35 kamper i vår database
🟥 Red cards: 0,03 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.