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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Goteborg
Hammarby
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Sirius
|
6 | 5 | 1 | 0 | +10 | +5.9 | 16 |
| 2 |
Elfsborg
|
7 | 4 | 2 | 1 | +5 | +1.8 | 14 |
| 3 |
Hammarby
|
6 | 3 | 2 | 1 | +11 | +4.5 | 11 |
| 4 |
Djurgarden
|
6 | 3 | 1 | 2 | +6 | +1.2 | 10 |
| 5 |
Hacken
|
6 | 2 | 4 | 0 | +3 | +1.6 | 10 |
| 6 |
Malmo FF
|
6 | 3 | 1 | 2 | +2 | +1.3 | 10 |
| 7 |
Mjallby
|
6 | 3 | 1 | 2 | +1 | -1.7 | 10 |
| 8 |
AIK
|
6 | 2 | 2 | 2 | +0 | -0.4 | 8 |
| 9 |
Degerfors
|
6 | 2 | 2 | 2 | +0 | -1.8 | 8 |
| 10 |
Brommapojkarna
|
7 | 2 | 2 | 3 | -3 | +1.1 | 8 |
| 11 |
Vasteras SK
|
6 | 2 | 2 | 2 | -4 | -5.8 | 8 |
| 12 |
GAIS
|
6 | 1 | 2 | 3 | +0 | +0.1 | 5 |
| 13 |
Orgryte
|
6 | 1 | 2 | 3 | -10 | -2.5 | 5 |
| 14 |
Kalmar
|
6 | 1 | 1 | 4 | -3 | -0.8 | 4 |
| 15 |
Goteborg
|
6 | 0 | 3 | 3 | -10 | -2.2 | 3 |
| 16 |
Halmstad
|
6 | 0 | 2 | 4 | -8 | -2.2 | 2 |
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.
E. Bishesari
G
A. Jallow
D
R. Yeboah
D
J. Bager
D
F. Eriksson
D
A. Bergmark-Wiberg
M
A. Erlingmark
M
D. Kruse
M
B. Brantlind
M
A. Boren
F
T. Heintz
F
Coach: Stefan Billborn
W. Hahn
G
H. Skoglund
D
V. Eriksson
D
F. Winther
D
N. Persson
D
M. Karlsson
M
F. Adjei
M
M. Madjed
M
N. Besara
M
V. Lind
M
P. Abraham
F
Coach: Kalle Karlsson
Green columns are the outcomes that came in.
Djurgarden
Goteborg
Goteborg
GAIS
Kalmar
Goteborg
Halmstad
Goteborg
Goteborg
Hacken
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.