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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FC Copenhagen
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
|
19 | 11 | 6 | 2 | +18 | 39 |
| 2 |
Viborg
|
19 | 10 | 5 | 4 | +8 | 35 |
| 3 |
FC Copenhagen
|
18 | 9 | 3 | 6 | +11 | 30 |
| 4 |
Randers FC
|
19 | 7 | 7 | 5 | -2 | 28 |
| 5 |
Midtjylland
|
18 | 6 | 8 | 4 | +6 | 26 |
| 6 |
Aarhus
|
18 | 7 | 4 | 7 | +2 | 25 |
| 7 |
Odense
|
19 | 6 | 7 | 6 | -4 | 25 |
| 8 |
Silkeborg
|
18 | 7 | 3 | 8 | -1 | 24 |
| 9 |
Brondby
|
18 | 6 | 6 | 6 | -2 | 24 |
| 10 |
Horsens
|
19 | 6 | 4 | 9 | -6 | 22 |
| 11 |
Aalborg
|
18 | 3 | 5 | 10 | -12 | 14 |
| 12 |
Lyngby
|
19 | 1 | 6 | 12 | -18 | 9 |
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.
K. Grabara
G
E. Jelert
R. Falk
M
Diogo Gonçalves
F
H. Haraldsson
F
M. Daramy
F
Coach: J. Neestrup
T. Sander
G
K. Jørgensen
D
I. Fossum
M
M. Højholt
M
Coach: E. Hamrén
Green columns are the outcomes that came in.
Silkeborg
FC Copenhagen
Aarhus
FC Copenhagen
Thisted FC
FC Copenhagen
FC Copenhagen
Lyngby
FC Copenhagen
Dortmund
Jakob Kehlet · 22 kamper i vår database
🟥 Red cards: 0,19 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.