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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Brondby
Silkeborg
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 | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Viborg
|
5 | 3 | 1 | 1 | +5 | +2.2 | 10 |
| 2 |
Nordsjaelland
|
4 | 3 | 1 | 0 | +5 | +6.9 | 10 |
| 3 |
Brondby
|
4 | 3 | 1 | 0 | +4 | -1.0 | 10 |
| 4 |
Midtjylland
|
4 | 3 | 1 | 0 | +3 | +1.9 | 10 |
| 5 |
FC Copenhagen
|
4 | 3 | 0 | 1 | +3 | -0.9 | 9 |
| 6 |
Horsens
|
5 | 2 | 1 | 2 | -1 | -4.5 | 7 |
| 7 |
Odense
|
5 | 1 | 1 | 3 | -2 | -1.0 | 4 |
| 8 |
Silkeborg
|
4 | 1 | 1 | 2 | -2 | -1.1 | 4 |
| 9 |
Randers FC
|
5 | 1 | 1 | 3 | -4 | -4.2 | 4 |
| 10 |
Aarhus
|
4 | 0 | 3 | 1 | -1 | +1.3 | 3 |
| 11 |
Lyngby
|
5 | 0 | 2 | 3 | -4 | +3.8 | 2 |
| 12 |
Sonderjyske
|
5 | 0 | 1 | 4 | -6 | -3.5 | 1 |
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.
P. Pentz
G
O. Villadsen
D
J. Vanlerberghe
D
L. Binks
D
M. Kohlert
D
B. Slisz
M
M. Ejdum
M
M. Younis
M
M. Frokjaer-Jensen
M
O. Hyseni
M
O. Fenger
F
Coach: Thomas Norgaard
A. Andresen
G
A. Priesborg
D
R. Ostrom
D
V. Westh
M
M. Larsen
M
C. McCowatt
M
J. Gammelby
M
L. Riisgaard
F
O. Ross
F
R. Al Hajj
F
Coach: Morten Dahm Kjaergaard
Green columns are the outcomes that came in.
Brondby
Sonderjyske
Horsens
Brondby
Brondby
Viborg
Aarhus
Brondby
Brondby
FC Copenhagen
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.