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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
FC Copenhagen
|
23 | 14 | 3 | 6 | +24 | 45 |
| 2 |
Nordsjaelland
|
23 | 12 | 7 | 4 | +17 | 43 |
| 3 |
Viborg
|
23 | 11 | 7 | 5 | +10 | 40 |
| 4 |
Aarhus
|
23 | 10 | 6 | 7 | +6 | 36 |
| 5 |
Randers FC
|
23 | 8 | 9 | 6 | -2 | 33 |
| 6 |
Midtjylland
|
23 | 7 | 10 | 6 | +5 | 31 |
| 7 |
Silkeborg
|
23 | 8 | 6 | 9 | -1 | 30 |
| 8 |
Brondby
|
23 | 8 | 6 | 9 | -5 | 30 |
| 9 |
Odense
|
23 | 7 | 7 | 9 | -13 | 28 |
| 10 |
Horsens
|
23 | 6 | 5 | 12 | -15 | 23 |
| 11 |
Aalborg
|
23 | 4 | 6 | 13 | -11 | 18 |
| 12 |
Lyngby
|
23 | 3 | 8 | 12 | -15 | 17 |
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. Bonde
M
J. Grønning
M
I. Said
F
Coach: J. Friis
J. Hansen
G
T. Mølgaard
D
F. Tingager
D
Y. Aurel Bisseck
D
F. Beijmo
M
Kevin Yakob
M
M. Emil Madsen
M
G. Links
M
P. Mortensen
F
M. Anderson
F
Coach: U. Rösler
Green columns are the outcomes that came in.
Viborg
Aalborg
Brondby
Viborg
FC Copenhagen
Viborg
Viborg
Nordsjaelland
Viborg
Randers FC
Aydin Uslu · 22 kamper i vår database
🟥 Red cards: 0,16 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.