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
Odense
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: 0–2
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
FC Copenhagen
|
23 | 14 | 3 | 6 | +24 | 45 |
| 2 |
Nordsjaelland
|
23 | 12 | 7 | 4 | +17 | 43 |
| 3 |
Viborg
|
24 | 11 | 7 | 6 | +9 | 40 |
| 4 |
Aarhus
|
24 | 11 | 6 | 7 | +7 | 39 |
| 5 |
Randers FC
|
23 | 8 | 9 | 6 | -2 | 33 |
| 6 |
Midtjylland
|
23 | 7 | 10 | 6 | +5 | 31 |
| 7 |
Silkeborg
|
23 | 8 | 6 | 9 | -1 | 30 |
| 8 |
Brondby
|
23 | 8 | 6 | 9 | -5 | 30 |
| 9 |
Odense
|
23 | 7 | 7 | 9 | -13 | 28 |
| 10 |
Horsens
|
23 | 6 | 5 | 12 | -15 | 23 |
| 11 |
Aalborg
|
23 | 4 | 6 | 13 | -11 | 18 |
| 12 |
Lyngby
|
23 | 3 | 8 | 12 | -15 | 17 |
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
Pedro Ferreira
M
Y. Bakiz
M
Coach: O. Hiljemark
M. Hansen
G
T. Slotsager
D
A. Adelgaard
D
M. Frøkjær-Jensen
M
F. Tongya
M
Coach: A. Alm
Green columns are the outcomes that came in.
Viborg
Aalborg
Horsens
Aalborg
Aalborg
Randers FC
Odense
Aalborg
Aalborg
Midtjylland
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.