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
Aarhus
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
|
15 | 9 | 4 | 2 | +12 | 31 |
| 2 |
Viborg
|
15 | 8 | 4 | 3 | +7 | 28 |
| 3 |
Randers FC
|
16 | 6 | 5 | 5 | -3 | 23 |
| 4 |
Odense
|
15 | 6 | 4 | 5 | -2 | 22 |
| 5 |
Silkeborg
|
15 | 6 | 3 | 6 | +3 | 21 |
| 6 |
FC Copenhagen
|
15 | 6 | 3 | 6 | +3 | 21 |
| 7 |
Aarhus
|
15 | 6 | 3 | 6 | +3 | 21 |
| 8 |
Midtjylland
|
15 | 5 | 6 | 4 | +2 | 21 |
| 9 |
Horsens
|
16 | 6 | 3 | 7 | +0 | 21 |
| 10 |
Brondby
|
15 | 5 | 5 | 5 | -3 | 20 |
| 11 |
Aalborg
|
15 | 3 | 5 | 7 | -6 | 14 |
| 12 |
Lyngby
|
15 | 0 | 5 | 10 | -16 | 5 |
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
O. Bundgaard
D
M. Søndergaard
M
J. Grønning
M
J. Žambůrek
M
J. Grot
F
Coach: J. Friis
J. Hansen
G
T. Thiesson Kristensen
D
F. Tingager
D
Y. Aurel Bisseck
D
T. Mølgaard
M
M. Anderson
M
M. Emil Madsen
M
E. Kahl
M
S. Haugen
F
P. Mortensen
F
Coach: U. Rösler
Green columns are the outcomes that came in.
Silkeborg
Viborg
Aalborg
Viborg
Ishøj
Viborg
Viborg
Odense
Lyngby
Viborg
Jorgen Daugbjerg Burchardt · 15 kamper i vår database
🟥 Red cards: 0,20 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.