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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Aarhus
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 |
Nordsjaelland
|
21 | 11 | 7 | 3 | +17 | 40 |
| 2 |
FC Copenhagen
|
21 | 12 | 3 | 6 | +22 | 39 |
| 3 |
Viborg
|
21 | 10 | 7 | 4 | +8 | 37 |
| 4 |
Aarhus
|
21 | 9 | 5 | 7 | +5 | 32 |
| 5 |
Brondby
|
21 | 8 | 6 | 7 | -1 | 30 |
| 6 |
Randers FC
|
21 | 7 | 8 | 6 | -3 | 29 |
| 7 |
Silkeborg
|
21 | 8 | 4 | 9 | -1 | 28 |
| 8 |
Odense
|
21 | 7 | 7 | 7 | -10 | 28 |
| 9 |
Midtjylland
|
21 | 6 | 9 | 6 | +3 | 27 |
| 10 |
Horsens
|
21 | 6 | 4 | 11 | -11 | 22 |
| 11 |
Aalborg
|
21 | 3 | 6 | 12 | -14 | 15 |
| 12 |
Lyngby
|
21 | 3 | 6 | 12 | -15 | 15 |
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.
J. Hansen
G
T. Mølgaard
D
F. Tingager
D
Y. Aurel Bisseck
D
F. Beijmo
M
Kevin Yakob
M
G. Links
M
M. Anderson
F
P. Mortensen
F
Coach: U. Rösler
M. Hansen
G
M. Frøkjær-Jensen
M
F. Tongya
M
Coach: A. Alm
Green columns are the outcomes that came in.
Randers FC
Aarhus
Aarhus
Horsens
Aarhus
Silkeborg
Aalborg
Aarhus
Aarhus
FC Copenhagen
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.