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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Randers FC
|
10 | 6 | 4 | 0 | +8 | 22 |
| 2 |
Nordsjaelland
|
10 | 6 | 2 | 2 | +6 | 20 |
| 3 |
Viborg
|
10 | 6 | 1 | 3 | +4 | 19 |
| 4 |
Silkeborg
|
10 | 5 | 1 | 4 | +4 | 16 |
| 5 |
Aarhus
|
10 | 5 | 1 | 4 | +4 | 16 |
| 6 |
Horsens
|
10 | 4 | 2 | 4 | -1 | 14 |
| 7 |
Midtjylland
|
10 | 3 | 4 | 3 | +1 | 13 |
| 8 |
Odense
|
10 | 4 | 1 | 5 | -5 | 13 |
| 9 |
FC Copenhagen
|
10 | 4 | 0 | 6 | +0 | 12 |
| 10 |
Brondby
|
10 | 3 | 2 | 5 | -5 | 11 |
| 11 |
Aalborg
|
10 | 2 | 3 | 5 | -5 | 9 |
| 12 |
Lyngby
|
10 | 0 | 3 | 7 | -11 | 3 |
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
I. Fossum
M
Y. Bakiz
M
O. Ross
F
Coach: E. Hamrén
M. Hansen
G
A. Adelgaard
D
A. Gigović
M
F. Tongya
M
M. Frøkjær-Jensen
M
Coach: A. Alm
Green columns are the outcomes that came in.
Aarhus
Aalborg
Aalborg
Lyngby
Midtjylland
Aalborg
Randers FC
Aalborg
Aalborg
Brondby
Jens Maae · 18 kamper i vår database
🟥 Red cards: 0,17 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.