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.
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Hammarby
Malmo FF
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 2–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Malmo FF
|
28 | 18 | 7 | 3 | +41 | +22.6 | 61 |
| 2 |
Hammarby
|
28 | 16 | 5 | 7 | +24 | +7.2 | 53 |
| 3 |
AIK
|
28 | 16 | 3 | 9 | +2 | +2.1 | 51 |
| 4 |
Djurgarden
|
28 | 15 | 5 | 8 | +9 | +1.4 | 50 |
| 5 |
Mjallby
|
28 | 13 | 7 | 8 | +8 | +3.0 | 46 |
| 6 |
Hacken
|
28 | 12 | 6 | 10 | +5 | -7.6 | 42 |
| 7 |
GAIS
|
28 | 12 | 6 | 10 | +0 | -4.4 | 42 |
| 8 |
Elfsborg
|
28 | 12 | 5 | 11 | +7 | +7.7 | 41 |
| 9 |
Sirius
|
28 | 12 | 4 | 12 | +2 | -0.6 | 40 |
| 10 |
Brommapojkarna
|
28 | 8 | 10 | 10 | -5 | -1.5 | 34 |
| 11 |
Norrkoping
|
28 | 8 | 7 | 13 | -20 | -5.2 | 31 |
| 12 |
Goteborg
|
28 | 7 | 9 | 12 | -9 | -6.1 | 30 |
| 13 |
Halmstad
|
28 | 9 | 3 | 16 | -15 | -6.1 | 30 |
| 14 |
Varnamo
|
28 | 6 | 9 | 13 | -11 | -6.6 | 27 |
| 15 |
Kalmar
|
28 | 7 | 5 | 16 | -21 | -8.8 | 26 |
| 16 |
Vasteras SK
|
28 | 5 | 5 | 18 | -17 | +2.8 | 20 |
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.
W. Hahn
G
H. Skoglund
D
P. Vagić
D
V. Eriksson
D
M. Karlsson
M
T. Tekie
M
O. Johansson Schellhas
M
N. Besara
M
B. Touré
M
J. Erabi
F
Coach: K. Hellberg
Ricardo Friedrich
G
C. Rösler
D
N. Zätterström
D
Gabriel Busanello
D
O. Rosengren
M
H. Bolin
M
A. Skogmar
M
T. Ali
M
E. Botheim
F
Coach: H. Rydström
Green columns are the outcomes that came in.
Sirius
Hammarby
Hammarby
Djurgarden
Hammarby
Halmstad
AIK
Hammarby
Hammarby
Hacken
M Al Hakim · 112 kamper i vår database
🟥 Red cards: 0,08 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.