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
FC Copenhagen
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
18 | 10 | 6 | 2 | +16 | 36 |
| 2 |
Viborg
|
17 | 9 | 5 | 3 | +9 | 32 |
| 3 |
FC Copenhagen
|
17 | 8 | 3 | 6 | +8 | 27 |
| 4 |
Aarhus
|
18 | 7 | 4 | 7 | +2 | 25 |
| 5 |
Odense
|
18 | 6 | 7 | 5 | -2 | 25 |
| 6 |
Randers FC
|
18 | 6 | 7 | 5 | -3 | 25 |
| 7 |
Silkeborg
|
17 | 7 | 3 | 7 | +2 | 24 |
| 8 |
Midtjylland
|
17 | 5 | 8 | 4 | +2 | 23 |
| 9 |
Horsens
|
17 | 6 | 4 | 7 | +0 | 22 |
| 10 |
Brondby
|
17 | 5 | 6 | 6 | -5 | 21 |
| 11 |
Aalborg
|
18 | 3 | 5 | 10 | -12 | 14 |
| 12 |
Lyngby
|
18 | 1 | 6 | 11 | -17 | 9 |
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
T. Salquist
D
J. Felix
D
M. Brink
M
S. Þórðarson
M
A. Klynge
M
S. Jørgensen
M
T. Adamsen
F
Coach: K. Nielsen
K. Grabara
G
E. Jelert
W. Clem
M
Diogo Gonçalves
F
H. Haraldsson
F
M. Daramy
F
Coach: J. Neestrup
Green columns are the outcomes that came in.
Silkeborg
Lyngby
Randers FC
Silkeborg
Aalborg
Silkeborg
Silkeborg
Anderlecht
Silkeborg
Viborg
Mads Kristoffer Kristoffersen · 20 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.