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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Silkeborg
Viborg
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: 3–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Randers FC
|
2 | 2 | 0 | 0 | +3 | +1.4 | 6 |
| 2 |
FC Copenhagen
|
2 | 2 | 0 | 0 | +3 | -0.5 | 6 |
| 3 |
Midtjylland
|
3 | 1 | 2 | 0 | +2 | +1.1 | 5 |
| 4 |
Aarhus
|
3 | 1 | 1 | 1 | +3 | +0.9 | 4 |
| 5 |
Nordsjaelland
|
2 | 1 | 1 | 0 | +3 | +1.1 | 4 |
| 6 |
Brondby
|
2 | 1 | 1 | 0 | +1 | +1.9 | 4 |
| 7 |
Silkeborg
|
2 | 1 | 0 | 1 | +0 | +1.6 | 3 |
| 8 |
Aalborg
|
3 | 1 | 0 | 2 | -4 | -2.2 | 3 |
| 9 |
Viborg
|
2 | 0 | 1 | 1 | -2 | -1.6 | 1 |
| 10 |
Lyngby
|
2 | 0 | 1 | 1 | -2 | +0.5 | 1 |
| 11 |
Sonderjyske
|
3 | 0 | 1 | 2 | -5 | -2.5 | 1 |
| 12 |
Vejle
|
2 | 0 | 0 | 2 | -2 | -1.8 | 0 |
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.
O. Sonne
D
Pedro Ganchas
D
A. Poulsen
D
M. Larsen
M
A. Klynge
M
T. Adamsen
F
Y. Bakiz
F
Coach: K. Nielsen
L. Lund
G
D. Anyembe
D
Ž. Zaletel
D
S. Kuzmić
D
M. Westergaard
M
J. Grønning
M
J. Vester
F
I. Jensen
F
Coach: J. Poulsen
Green columns are the outcomes that came in.
Silkeborg
Molde
Aalborg
Silkeborg
Molde
Silkeborg
Silkeborg
Sonderjyske
Midtjylland
Silkeborg
A Uslu · 52 kamper i vår database
🟥 Red cards: 0,11 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.