Superligaen
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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Aarhus
Aalborg
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
10 | 6 | 2 | 2 | +6 | 20 |
| 2 |
Randers FC
|
9 | 5 | 4 | 0 | +7 | 19 |
| 3 |
Viborg
|
9 | 6 | 0 | 3 | +4 | 18 |
| 4 |
Silkeborg
|
9 | 5 | 1 | 3 | +5 | 16 |
| 5 |
Horsens
|
10 | 4 | 2 | 4 | -1 | 14 |
| 6 |
Aarhus
|
9 | 4 | 1 | 4 | +2 | 13 |
| 7 |
FC Copenhagen
|
9 | 4 | 0 | 5 | +1 | 12 |
| 8 |
Midtjylland
|
9 | 2 | 4 | 3 | +0 | 10 |
| 9 |
Brondby
|
9 | 3 | 1 | 5 | -5 | 10 |
| 10 |
Odense
|
9 | 3 | 1 | 5 | -7 | 10 |
| 11 |
Aalborg
|
9 | 2 | 3 | 4 | -3 | 9 |
| 12 |
Lyngby
|
9 | 0 | 3 | 6 | -9 | 3 |
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. Hansen
G
T. Thiesson Kristensen
D
F. Tingager
D
Y. Aurel Bisseck
D
Kevin Yakob
M
M. Anderson
M
E. Kahl
M
P. Mortensen
F
S. Haugen
F
Coach: U. Rösler
A. Poulsen
D
I. Fossum
M
M. Højholt
M
Y. Bakiz
M
Coach: E. Hamrén
Green columns are the outcomes that came in.
Silkeborg
Aarhus
Aarhus
Nordsjaelland
Vatanspor
Aarhus
Horsens
Aarhus
Midtjylland
Aarhus
Aydin Uslu · 22 kamper i vår database
🟥 Red cards: 0,16 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.