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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Mjallby
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Malmo FF
|
14 | 11 | 2 | 1 | +29 | +12.8 | 35 |
| 2 |
Djurgarden
|
13 | 9 | 1 | 3 | +15 | +0.3 | 28 |
| 3 |
Mjallby
|
14 | 8 | 2 | 4 | +8 | +1.0 | 26 |
| 4 |
Hacken
|
14 | 7 | 2 | 5 | +3 | -2.4 | 23 |
| 5 |
Hammarby
|
13 | 7 | 1 | 5 | +6 | +1.7 | 22 |
| 6 |
GAIS
|
13 | 7 | 1 | 5 | -1 | -2.5 | 22 |
| 7 |
Elfsborg
|
14 | 6 | 1 | 7 | +4 | +2.6 | 19 |
| 8 |
Halmstad
|
13 | 6 | 0 | 7 | -6 | -1.9 | 18 |
| 9 |
Varnamo
|
13 | 5 | 2 | 6 | -2 | -4.9 | 17 |
| 10 |
AIK
|
13 | 5 | 2 | 6 | -5 | +0.1 | 17 |
| 11 |
Sirius
|
13 | 4 | 3 | 6 | -2 | +3.5 | 15 |
| 12 |
Brommapojkarna
|
13 | 3 | 6 | 4 | -5 | +2.1 | 15 |
| 13 |
Goteborg
|
13 | 4 | 2 | 7 | -8 | -4.1 | 14 |
| 14 |
Kalmar
|
13 | 4 | 1 | 8 | -10 | -5.7 | 13 |
| 15 |
Norrkoping
|
13 | 3 | 2 | 8 | -19 | -5.6 | 11 |
| 16 |
Vasteras SK
|
13 | 2 | 2 | 9 | -7 | +3.0 | 8 |
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.
N. Törnqvist
G
R. Wikström
D
C. Rösler
D
T. Pettersson
D
A. Ståhl
M
N. Røjkjær
M
J. Gustavsson
M
E. Stroud
M
V. Gustafson
F
J. Bergström
F
A. Manneh
F
Coach: A. Torstensson
J. Dahlin
G
J. Stryger Larsen
D
P. Jansson
D
Gabriel Busanello
D
O. Berg
M
A. Christiansen
M
S. Nanasi
M
E. Botheim
F
I. Kiese Thelin
F
Coach: H. Rydström
Green columns are the outcomes that came in.
Mjallby
Sirius
Varnamo
Mjallby
Mjallby
Hacken
Mjallby
Djurgarden
Goteborg
Mjallby
O Johnson · 45 kamper i vår database
🟥 Red cards: 0,09 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.