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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Hammarby
Mjallby
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Mjallby
|
10 | 7 | 2 | 1 | +13 | +1.5 | 23 |
| 2 |
Elfsborg
|
10 | 7 | 1 | 2 | +9 | +5.8 | 22 |
| 3 |
AIK
|
10 | 6 | 4 | 0 | +7 | +1.3 | 22 |
| 4 |
Hammarby
|
10 | 6 | 3 | 1 | +12 | +6.6 | 21 |
| 5 |
Malmo FF
|
10 | 5 | 3 | 2 | +7 | +6.7 | 18 |
| 6 |
Hacken
|
10 | 4 | 2 | 4 | -1 | +2.0 | 14 |
| 7 |
Norrkoping
|
10 | 4 | 1 | 5 | +0 | -4.1 | 13 |
| 8 |
Degerfors
|
10 | 4 | 1 | 5 | -3 | -0.7 | 13 |
| 9 |
Goteborg
|
10 | 4 | 1 | 5 | -3 | +1.7 | 13 |
| 10 |
GAIS
|
10 | 2 | 6 | 2 | +1 | +1.0 | 12 |
| 11 |
Djurgarden
|
9 | 3 | 2 | 4 | -6 | -1.5 | 11 |
| 12 |
Brommapojkarna
|
9 | 3 | 1 | 5 | -2 | +0.4 | 10 |
| 13 |
Halmstad
|
10 | 3 | 1 | 6 | -12 | -7.7 | 10 |
| 14 |
Sirius
|
10 | 2 | 3 | 5 | -4 | -3.7 | 9 |
| 15 |
Oster
|
10 | 2 | 1 | 7 | -7 | -5.7 | 7 |
| 16 |
Varnamo
|
10 | 0 | 2 | 8 | -11 | -3.7 | 2 |
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.
W. Hahn
G
H. Skoglund
D
P. Vagic
D
V. Eriksson
D
M. Karlsson
M
T. Tekie
M
N. Besara
M
M. Madjed
F
P. Abraham
F
S. Tounekti
F
Coach: Kim Alexander Hellberg
N. Tornqvist
G
A. Noren
D
A. Iqbal
D
T. Pettersson
D
U. Charles
M
R. Arrhenius
M
N. Rojkjaer
M
T. Stavitski
M
L. Thorell
F
A. Manneh
F
Coach: Anders Torstensson
Green columns are the outcomes that came in.
AIK
Hammarby
Hammarby
Sirius
Hammarby
Norrkoping
Oster
Hammarby
Hacken
Hammarby
Oscar Johnson · 34 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.