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
GAIS
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 |
Mjallby
|
7 | 5 | 2 | 0 | +11 | +0.2 | 17 |
| 2 |
AIK
|
7 | 5 | 2 | 0 | +6 | -0.1 | 17 |
| 3 |
Hammarby
|
7 | 5 | 1 | 1 | +11 | +4.2 | 16 |
| 4 |
Malmo FF
|
7 | 3 | 2 | 2 | +1 | +3.3 | 11 |
| 5 |
Degerfors
|
7 | 3 | 1 | 3 | +1 | +1.8 | 10 |
| 6 |
Elfsborg
|
6 | 3 | 1 | 2 | +1 | +2.7 | 10 |
| 7 |
Brommapojkarna
|
6 | 3 | 1 | 2 | +1 | +0.2 | 10 |
| 8 |
Hacken
|
7 | 3 | 1 | 3 | -1 | +1.0 | 10 |
| 9 |
Goteborg
|
7 | 3 | 1 | 3 | -3 | +1.2 | 10 |
| 10 |
Norrkoping
|
7 | 3 | 0 | 4 | +0 | -0.6 | 9 |
| 11 |
Djurgarden
|
6 | 2 | 2 | 2 | -1 | +2.1 | 8 |
| 12 |
GAIS
|
6 | 1 | 4 | 1 | +1 | -2.0 | 7 |
| 13 |
Halmstad
|
7 | 2 | 1 | 4 | -8 | -5.9 | 7 |
| 14 |
Sirius
|
7 | 1 | 3 | 3 | -4 | -4.2 | 6 |
| 15 |
Oster
|
7 | 1 | 0 | 6 | -7 | -2.7 | 3 |
| 16 |
Varnamo
|
7 | 0 | 0 | 7 | -9 | -1.0 | 0 |
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
I. Buhari
D
T. Yegbe
D
S. Hedlund
M
B. Zeneli
M
S. Olsson
M
N. Hult
M
A. Sigurpalsson
F
F. Ihler
F
T. Silverholt
F
Coach: Oscar Karl Niclas Hiljemark
M. Krasniqi
G
A. Wangberg
O. Agren
D
F. Beckman
D
R. Frej
D
G. Lundgren
M
H. Ibrahim
M
W. Milovanovic
M
R. Niklasson
F
I. Diabate
F
A. Boudri
F
Coach: Fredrik Jakob Holmberg
Green columns are the outcomes that came in.
AIK
Elfsborg
Elfsborg
Sirius
Degerfors
Elfsborg
Elfsborg
Norrkoping
Malmo FF
Elfsborg
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.