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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Aalborg
Lyngby
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 |
FC Copenhagen
|
26 | 15 | 4 | 7 | +24 | 49 |
| 2 |
Nordsjaelland
|
26 | 13 | 8 | 5 | +17 | 47 |
| 3 |
Viborg
|
26 | 12 | 7 | 7 | +9 | 43 |
| 4 |
Aarhus
|
26 | 11 | 7 | 8 | +6 | 40 |
| 5 |
Randers FC
|
26 | 10 | 10 | 6 | +3 | 40 |
| 6 |
Midtjylland
|
26 | 9 | 11 | 6 | +8 | 38 |
| 7 |
Odense
|
27 | 9 | 9 | 9 | -10 | 36 |
| 8 |
Brondby
|
26 | 9 | 6 | 11 | -9 | 33 |
| 9 |
Silkeborg
|
26 | 8 | 7 | 11 | -4 | 31 |
| 10 |
Horsens
|
27 | 7 | 6 | 14 | -17 | 27 |
| 11 |
Lyngby
|
26 | 4 | 9 | 13 | -15 | 21 |
| 12 |
Aalborg
|
26 | 4 | 8 | 14 | -12 | 20 |
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.
Pedro Ferreira
M
M. Højholt
M
I. Fossum
M
Coach: O. Hiljemark
M. Kikkenborg
G
T. Storm
D
P. Gregor
D
K. Finnsson
D
S. Magnússon
M
T. Chukwuani
M
F. Gytkjær
F
Coach: F. Alexandersson
Green columns are the outcomes that came in.
Silkeborg
Aalborg
Silkeborg
Aalborg
Midtjylland
Aalborg
Aalborg
Odense
Viborg
Aalborg
Morten Krogh · 27 kamper i vår database
🟥 Red cards: 0,26 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.