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
FC Copenhagen
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
|
16 | 9 | 5 | 2 | +12 | 32 |
| 2 |
Viborg
|
16 | 8 | 5 | 3 | +7 | 29 |
| 3 |
FC Copenhagen
|
16 | 7 | 3 | 6 | +6 | 24 |
| 4 |
Silkeborg
|
17 | 7 | 3 | 7 | +2 | 24 |
| 5 |
Odense
|
16 | 6 | 5 | 5 | -2 | 23 |
| 6 |
Randers FC
|
16 | 6 | 5 | 5 | -3 | 23 |
| 7 |
Aarhus
|
16 | 6 | 4 | 6 | +3 | 22 |
| 8 |
Midtjylland
|
16 | 5 | 7 | 4 | +2 | 22 |
| 9 |
Horsens
|
16 | 6 | 3 | 7 | +0 | 21 |
| 10 |
Brondby
|
16 | 5 | 6 | 5 | -3 | 21 |
| 11 |
Aalborg
|
16 | 3 | 5 | 8 | -7 | 14 |
| 12 |
Lyngby
|
17 | 1 | 5 | 11 | -17 | 8 |
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
T. Mølgaard
M
M. Anderson
M
M. Emil Madsen
M
E. Kahl
M
P. Mortensen
F
Coach: U. Rösler
K. Grabara
G
E. Jelert
W. Clem
M
H. Haraldsson
F
A. Cornelius
F
M. Daramy
F
Coach: J. Neestrup
Green columns are the outcomes that came in.
Aarhus
Nordsjaelland
Viborg
Aarhus
Lyngby
Aarhus
Aarhus
Brondby
Nordsjaelland
Aarhus
Mads Kristoffer Kristoffersen · 20 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.