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
Degerfors
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
|
12 | 10 | 2 | 0 | +18 | +8.2 | 32 |
| 2 |
Hammarby
|
13 | 7 | 2 | 4 | +14 | +8.9 | 23 |
| 3 |
AIK
|
13 | 6 | 3 | 4 | +0 | -7.4 | 21 |
| 4 |
Hacken
|
12 | 5 | 5 | 2 | +3 | +3.8 | 20 |
| 5 |
Djurgarden
|
11 | 6 | 1 | 4 | +11 | +5.1 | 19 |
| 6 |
Malmo FF
|
12 | 6 | 1 | 5 | +5 | +3.6 | 19 |
| 7 |
GAIS
|
14 | 5 | 4 | 5 | +4 | +2.1 | 19 |
| 8 |
Vasteras SK
|
13 | 5 | 4 | 4 | -1 | -3.0 | 19 |
| 9 |
Elfsborg
|
13 | 4 | 6 | 3 | +3 | +0.5 | 18 |
| 10 |
Mjallby
|
13 | 4 | 5 | 4 | +2 | +2.8 | 17 |
| 11 |
Brommapojkarna
|
13 | 4 | 4 | 5 | -3 | -6.0 | 16 |
| 12 |
Kalmar
|
12 | 4 | 1 | 7 | -3 | +2.3 | 13 |
| 13 |
Goteborg
|
13 | 3 | 4 | 6 | -13 | +1.7 | 13 |
| 14 |
Degerfors
|
12 | 2 | 4 | 6 | -7 | -6.1 | 10 |
| 15 |
Orgryte
|
12 | 2 | 3 | 7 | -17 | -6.4 | 9 |
| 16 |
Halmstad
|
12 | 1 | 3 | 8 | -16 | -10.0 | 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
I. Fofana
D
F. Winther
D
N. Persson
D
O. Johansson
M
M. Karlsson
M
M. Madjed
M
N. Besara
M
V. Lind
M
P. Abraham
F
Coach: Kalle Karlsson
M. Igonen
G
G. Yiriyon
D
S. Ohlsson
D
N. Skuseth
D
S. Diatara
D
K. Karlsson
M
R. Dzabic
M
B. Hussein
M
E. Barsoum
M
A. Taranis
F
D. Vukojevic
F
Coach: Henok Goitom
Green columns are the outcomes that came in.
Hammarby
Kalmar
Elfsborg
Hammarby
Hacken
Hammarby
Hammarby
AIK
GAIS
Hammarby
Mohammed Al-Hakim · 46 kamper i vår database
🟥 Red cards: 0,11 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.