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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
FC Copenhagen
|
8 | 7 | 0 | 1 | +14 | +0.7 | 21 |
| 2 |
Midtjylland
|
7 | 4 | 3 | 0 | +5 | +2.8 | 15 |
| 3 |
Nordsjaelland
|
7 | 4 | 2 | 1 | +5 | +8.7 | 14 |
| 4 |
Viborg
|
7 | 4 | 1 | 2 | +4 | +3.2 | 13 |
| 5 |
Brondby
|
7 | 4 | 1 | 2 | +1 | -1.4 | 13 |
| 6 |
Randers FC
|
7 | 3 | 1 | 3 | +0 | -5.0 | 10 |
| 7 |
Horsens
|
8 | 3 | 1 | 4 | -1 | -5.6 | 10 |
| 8 |
Lyngby
|
7 | 1 | 3 | 3 | -2 | +3.9 | 6 |
| 9 |
Silkeborg
|
7 | 1 | 3 | 3 | -4 | -3.4 | 6 |
| 10 |
Odense
|
7 | 1 | 2 | 4 | -7 | -1.0 | 5 |
| 11 |
Aarhus
|
7 | 0 | 4 | 3 | -4 | +2.2 | 4 |
| 12 |
Sonderjyske
|
7 | 0 | 1 | 6 | -11 | -5.2 | 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. Andrésen
G
A. Madsen
D
R. Østrøm
D
W. Moller
D
V. Westh
M
M. Larsen
M
W. Kirk
M
J. Gammelby
M
L. Riisgaard
M
R. Al Hajj
M
O. Ross
F
Coach: M. Dahm Kjaergaard
K. Kiilerich
G
Hjalte Bidstrup
D
L. Kirkegaard
D
Ž. Zaletel
D
O. Bundgaard
D
A. Beck
M
J. Grønning
M
M. Søndergaard
M
S. Jalal
F
Dorian Hanza
F
C. Nouck
F
Coach: Nickolai Lund
Green columns are the outcomes that came in.
Aarhus
Silkeborg
Silkeborg
Midtjylland
Vejle
Silkeborg
Brondby
Silkeborg
Nordsjaelland
Silkeborg
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.