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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Brommapojkarna
Djurgarden
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Mjallby
|
12 | 8 | 3 | 1 | +14 | +0.8 | 27 |
| 2 |
AIK
|
12 | 7 | 5 | 0 | +8 | +1.0 | 26 |
| 3 |
Elfsborg
|
11 | 8 | 1 | 2 | +12 | +6.5 | 25 |
| 4 |
Hammarby
|
12 | 7 | 3 | 2 | +12 | +7.7 | 24 |
| 5 |
Malmo FF
|
12 | 5 | 4 | 3 | +6 | +8.7 | 19 |
| 6 |
Goteborg
|
11 | 5 | 1 | 5 | -2 | -0.0 | 16 |
| 7 |
GAIS
|
11 | 3 | 6 | 2 | +2 | +3.4 | 15 |
| 8 |
Hacken
|
11 | 4 | 3 | 4 | -1 | +1.5 | 15 |
| 9 |
Norrkoping
|
11 | 4 | 2 | 5 | +0 | -4.1 | 14 |
| 10 |
Degerfors
|
11 | 4 | 1 | 6 | -4 | -1.0 | 13 |
| 11 |
Djurgarden
|
10 | 3 | 3 | 4 | -6 | -1.0 | 12 |
| 12 |
Brommapojkarna
|
10 | 3 | 1 | 6 | -3 | +0.4 | 10 |
| 13 |
Halmstad
|
11 | 3 | 1 | 7 | -15 | -8.4 | 10 |
| 14 |
Sirius
|
11 | 2 | 3 | 6 | -5 | -6.1 | 9 |
| 15 |
Oster
|
11 | 2 | 2 | 7 | -7 | -5.0 | 8 |
| 16 |
Varnamo
|
11 | 0 | 3 | 8 | -11 | -4.3 | 3 |
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.
D. Blazevic
G
A. Timossi
D
H. Karlsson
D
S. Ngouali
M
K. Ackermann
M
A. Jakobsen
M
V. Lind
M
Coach: Ulf Kristiansson
F. Manojlovic
G
T. Bergvall
D
M. Tenho
D
J. Une-Larsson
D
K. Kosugi
D
I. Alemayehu Mulugeta
M
M. Siltanen
M
S. Haarala
M
T. Gulliksen
M
A. Priske
M
Coach: Jani Honkavaara
Green columns are the outcomes that came in.
Brommapojkarna
AIK
Mjallby
Brommapojkarna
Elfsborg
Brommapojkarna
Brommapojkarna
Halmstad
Malmo FF
Brommapojkarna
Richard Sundell · 32 kamper i vår database
🟥 Red cards: 0,06 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.