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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Elfsborg
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: 0–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Mjallby
|
23 | 17 | 5 | 1 | +27 | +2.2 | 56 |
| 2 |
Hammarby
|
23 | 14 | 4 | 5 | +21 | +14.6 | 46 |
| 3 |
AIK
|
22 | 11 | 7 | 4 | +9 | +6.5 | 40 |
| 4 |
Malmo FF
|
22 | 10 | 8 | 4 | +16 | +13.0 | 38 |
| 5 |
GAIS
|
22 | 10 | 8 | 4 | +13 | +11.3 | 38 |
| 6 |
Goteborg
|
22 | 12 | 2 | 8 | +4 | +1.6 | 38 |
| 7 |
Elfsborg
|
22 | 11 | 3 | 8 | +5 | -0.7 | 36 |
| 8 |
Djurgarden
|
23 | 9 | 8 | 6 | +8 | +6.4 | 35 |
| 9 |
Brommapojkarna
|
22 | 8 | 2 | 12 | +0 | -1.4 | 26 |
| 10 |
Hacken
|
22 | 7 | 5 | 10 | -6 | +4.7 | 26 |
| 11 |
Norrkoping
|
23 | 7 | 5 | 11 | -10 | -9.5 | 26 |
| 12 |
Sirius
|
22 | 6 | 5 | 11 | -4 | -2.1 | 23 |
| 13 |
Halmstad
|
23 | 6 | 4 | 13 | -25 | -12.9 | 22 |
| 14 |
Oster
|
23 | 5 | 6 | 12 | -13 | -11.6 | 21 |
| 15 |
Degerfors
|
23 | 4 | 4 | 15 | -24 | -5.0 | 16 |
| 16 |
Varnamo
|
23 | 2 | 6 | 15 | -21 | -16.9 | 12 |
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.
S. Eriksson
G
R. Wikstrom
D
S. Holmen
D
I. Buhari
D
N. Hult
D
A. Zeneli
M
B. Zeneli
M
S. Hedlund
M
J. Magnusson
F
L. Ostman
F
Coach: Oscar Karl Niclas Hiljemark
R. Olsen
G
J. Stryger
D
P. Jansson
D
A. Djuric
D
Busanello
D
H. Bolin
M
A. Skogmar
M
A. Sigurdsson
M
S. Haksabanovic
F
D. T. Gudjohnsen
F
Coach: Henrik Per-Erik Rydström
Green columns are the outcomes that came in.
Brommapojkarna
Elfsborg
Elfsborg
Halmstad
Haninge
Elfsborg
Norrkoping
Elfsborg
Elfsborg
Varnamo
Adam Ladeback · 38 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.