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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Viborg
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
18 | 10 | 6 | 2 | +16 | 36 |
| 2 |
Viborg
|
17 | 9 | 5 | 3 | +9 | 32 |
| 3 |
FC Copenhagen
|
18 | 9 | 3 | 6 | +11 | 30 |
| 4 |
Aarhus
|
18 | 7 | 4 | 7 | +2 | 25 |
| 5 |
Odense
|
18 | 6 | 7 | 5 | -2 | 25 |
| 6 |
Randers FC
|
18 | 6 | 7 | 5 | -3 | 25 |
| 7 |
Silkeborg
|
18 | 7 | 3 | 8 | -1 | 24 |
| 8 |
Brondby
|
18 | 6 | 6 | 6 | -2 | 24 |
| 9 |
Midtjylland
|
17 | 5 | 8 | 4 | +2 | 23 |
| 10 |
Horsens
|
18 | 6 | 4 | 8 | -3 | 22 |
| 11 |
Aalborg
|
18 | 3 | 5 | 10 | -12 | 14 |
| 12 |
Lyngby
|
18 | 1 | 6 | 11 | -17 | 9 |
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.
L. Lund
G
A. Gaaei
D
N. Bürgy
D
Ž. Zaletel
D
D. Anyembe
D
J. Grønning
M
J. Bonde
M
I. Said
M
A. Jatta
F
Coach: J. Friis
S. Gartenmann
D
O. Sørensen
M
G. Isaksen
F
A. Şimşir
F
Coach: Albert Capellas
Green columns are the outcomes that came in.
Brondby
Viborg
Viborg
Midtjylland
Viborg
Aarhus
Silkeborg
Viborg
Aalborg
Viborg
Jacob Karlsen · 18 kamper i vår database
🟥 Red cards: 0,06 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.