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
Midtjylland
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
|
20 | 11 | 6 | 3 | +17 | 39 |
| 2 |
FC Copenhagen
|
20 | 11 | 3 | 6 | +19 | 36 |
| 3 |
Viborg
|
20 | 10 | 6 | 4 | +8 | 36 |
| 4 |
Aarhus
|
20 | 8 | 5 | 7 | +4 | 29 |
| 5 |
Randers FC
|
20 | 7 | 8 | 5 | -2 | 29 |
| 6 |
Silkeborg
|
20 | 8 | 4 | 8 | +0 | 28 |
| 7 |
Brondby
|
20 | 7 | 6 | 7 | -2 | 27 |
| 8 |
Midtjylland
|
19 | 6 | 8 | 5 | +5 | 26 |
| 9 |
Odense
|
20 | 6 | 7 | 7 | -11 | 25 |
| 10 |
Horsens
|
20 | 6 | 4 | 10 | -8 | 22 |
| 11 |
Aalborg
|
19 | 3 | 5 | 11 | -13 | 14 |
| 12 |
Lyngby
|
20 | 2 | 6 | 12 | -17 | 12 |
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.
T. Sander
G
I. Fossum
M
M. Højholt
M
Coach: E. Hamrén
M. Thychosen
D
S. Gartenmann
D
V. Bak
D
A. Gigović
M
O. Sørensen
F
G. Isaksen
F
Coach: Albert Capellas
Green columns are the outcomes that came in.
Aalborg
Viborg
FC Copenhagen
Aalborg
Aalborg
Aarhus
Nordsjaelland
Aalborg
Middelfart
Aalborg
Peter Kjaersgaard-Andersen · 16 kamper i vår database
🟥 Red cards: 0,13 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.