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
Midtjylland
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Viborg
|
6 | 4 | 1 | 1 | +6 | +3.2 | 13 |
| 2 |
Brondby
|
5 | 4 | 1 | 0 | +6 | +0.1 | 13 |
| 3 |
Nordsjaelland
|
4 | 3 | 1 | 0 | +5 | +6.9 | 10 |
| 4 |
Midtjylland
|
4 | 3 | 1 | 0 | +3 | +1.9 | 10 |
| 5 |
FC Copenhagen
|
4 | 3 | 0 | 1 | +3 | -0.9 | 9 |
| 6 |
Horsens
|
6 | 2 | 1 | 3 | -2 | -5.6 | 7 |
| 7 |
Odense
|
5 | 1 | 1 | 3 | -2 | -1.0 | 4 |
| 8 |
Silkeborg
|
5 | 1 | 1 | 3 | -4 | -2.2 | 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.
A. Andresen
G
A. Priesborg
D
R. Ostrom
D
V. Westh
M
M. Larsen
M
W. Kirk
M
J. Gammelby
M
L. Riisgaard
F
R. Al Hajj
F
M. Hansen
F
Coach: Morten Dahm Kjaergaard
E. Olafsson
G
R. Kristensen
D
M. Jensen
D
M. B. Sorensen
D
D. Osorio
M
P. Billing
M
P. Bravo
M
S. Johannesen
M
D. Castillo
F
Franculino
F
S. Iheanacho
F
Coach: Mike Tullberg
Green columns are the outcomes that came in.
Vejle
Silkeborg
Brondby
Silkeborg
Nordsjaelland
Silkeborg
Silkeborg
Odense
Silkeborg
FC Copenhagen
Jacob Karlsen · 18 kamper i vår database
🟥 Red cards: 0,06 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.