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
FC Copenhagen
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
|
30 | 17 | 4 | 9 | +25 | 55 |
| 2 |
Nordsjaelland
|
30 | 15 | 9 | 6 | +19 | 54 |
| 3 |
Viborg
|
30 | 14 | 8 | 8 | +10 | 50 |
| 4 |
Midtjylland
|
31 | 12 | 12 | 7 | +14 | 48 |
| 5 |
Aarhus
|
30 | 13 | 8 | 9 | +9 | 47 |
| 6 |
Odense
|
31 | 12 | 10 | 9 | -4 | 46 |
| 7 |
Randers FC
|
30 | 10 | 10 | 10 | -5 | 40 |
| 8 |
Brondby
|
30 | 11 | 7 | 12 | -8 | 40 |
| 9 |
Silkeborg
|
31 | 10 | 8 | 13 | -6 | 38 |
| 10 |
Aalborg
|
31 | 6 | 9 | 16 | -10 | 27 |
| 11 |
Lyngby
|
31 | 6 | 9 | 16 | -19 | 27 |
| 12 |
Horsens
|
31 | 7 | 6 | 18 | -25 | 27 |
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
D. Anyembe
D
O. Bundgaard
D
J. Bonde
M
J. Grønning
M
I. Said
F
A. Jatta
F
Coach: J. Friis
K. Grabara
G
E. Jelert
K. Diks
D
W. Clem
M
R. Falk
M
M. Daramy
M
Diogo Gonçalves
M
J. Larsson
F
Coach: J. Neestrup
Green columns are the outcomes that came in.
Viborg
Brondby
Randers FC
Viborg
Aarhus
Viborg
Viborg
Randers FC
Viborg
Nordsjaelland
Morten Krogh · 27 kamper i vår database
🟥 Red cards: 0,26 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.