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 |
Elfsborg
|
27 | 19 | 3 | 5 | +33 | +5.7 | 60 |
| 2 |
Malmo FF
|
27 | 18 | 4 | 5 | +35 | +9.3 | 58 |
| 3 |
Hacken
|
27 | 17 | 3 | 7 | +30 | +8.5 | 54 |
| 4 |
Djurgarden
|
27 | 14 | 5 | 8 | +7 | +3.3 | 47 |
| 5 |
Kalmar
|
27 | 12 | 6 | 9 | -1 | -4.9 | 42 |
| 6 |
Varnamo
|
27 | 13 | 2 | 12 | +3 | +0.7 | 41 |
| 7 |
Hammarby
|
27 | 11 | 8 | 8 | +2 | +1.5 | 41 |
| 8 |
Norrkoping
|
27 | 11 | 5 | 11 | +2 | +3.3 | 38 |
| 9 |
Sirius
|
27 | 10 | 5 | 12 | +3 | +7.9 | 35 |
| 10 |
Mjallby
|
27 | 10 | 5 | 12 | -3 | -2.6 | 35 |
| 11 |
AIK
|
27 | 8 | 7 | 12 | -6 | -1.0 | 31 |
| 12 |
Halmstad
|
27 | 8 | 7 | 12 | -17 | -4.8 | 31 |
| 13 |
Goteborg
|
27 | 7 | 9 | 11 | -4 | -1.0 | 30 |
| 14 |
Brommapojkarna
|
27 | 8 | 3 | 16 | -14 | -4.0 | 27 |
| 15 |
Degerfors
|
27 | 7 | 3 | 17 | -31 | -10.6 | 24 |
| 16 |
Varberg
|
27 | 3 | 5 | 19 | -39 | -11.4 | 14 |
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.
J. Löfgren
D
T. Heggem
D
A. Jensen
M
L. Fritzson
M
S. Leach Holm
M
K. Ackermann
M
O. Pettersson
F
W. Odefalk
F
Z. Inoussa
F
Coach: A. Engelmark
J. Widell Zetterström
G
P. Johansson
D
J. Une-Larsson
D
S. Dahl
D
L. Bergvall
M
O. Fallenius
F
Coach: K. Bergstrand
Green columns are the outcomes that came in.
Sirius
Brommapojkarna
Brommapojkarna
Elfsborg
Malmo FF
Brommapojkarna
Brommapojkarna
Norrkoping
Goteborg
Brommapojkarna
A Ladebäck · 90 kamper i vår database
🟥 Red cards: 0,08 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.