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
Kalmar
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Sirius
|
11 | 9 | 2 | 0 | +17 | +7.7 | 29 |
| 2 |
Hammarby
|
12 | 6 | 2 | 4 | +12 | +8.5 | 20 |
| 3 |
Hacken
|
12 | 5 | 5 | 2 | +3 | +3.8 | 20 |
| 4 |
Elfsborg
|
12 | 4 | 6 | 2 | +4 | +0.1 | 18 |
| 5 |
AIK
|
12 | 5 | 3 | 4 | -2 | -8.1 | 18 |
| 6 |
Djurgarden
|
10 | 5 | 1 | 4 | +8 | +3.3 | 16 |
| 7 |
GAIS
|
12 | 4 | 4 | 4 | +5 | +3.2 | 16 |
| 8 |
Mjallby
|
12 | 4 | 4 | 4 | +2 | +1.6 | 16 |
| 9 |
Malmo FF
|
11 | 5 | 1 | 5 | +1 | +2.1 | 16 |
| 10 |
Brommapojkarna
|
11 | 4 | 4 | 3 | -1 | -2.3 | 16 |
| 11 |
Vasteras SK
|
11 | 4 | 3 | 4 | -3 | -1.9 | 15 |
| 12 |
Kalmar
|
11 | 4 | 1 | 6 | -1 | +2.6 | 13 |
| 13 |
Degerfors
|
11 | 2 | 4 | 5 | -5 | -6.0 | 10 |
| 14 |
Goteborg
|
11 | 2 | 4 | 5 | -10 | -0.1 | 10 |
| 15 |
Orgryte
|
12 | 2 | 3 | 7 | -17 | -6.4 | 9 |
| 16 |
Halmstad
|
11 | 1 | 3 | 7 | -13 | -8.2 | 6 |
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
V. Eriksson
D
F. Winther
D
N. Persson
D
M. Karlsson
M
T. Tekie
M
M. Madjed
M
N. Besara
M
V. Lind
M
P. Abraham
F
Coach: Kalle Karlsson
S. Brolin
G
R. Jansson
D
M. Hallberg
D
A. Keita
D
V. Larsson
D
C. Rosenqvist
M
R. Gojani
M
C. Gustafsson
M
A. Magashy
M
A. Olusanya
F
C. Sagoe Jr
F
Coach: Toni Koskela
Green columns are the outcomes that came in.
Elfsborg
Hammarby
Hacken
Hammarby
Hammarby
AIK
GAIS
Hammarby
Hammarby
Malmo FF
Kristoffer Karlsson · 36 kamper i vår database
🟥 Red cards: 0,20 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.