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
Aarhus
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
9 | 6 | 2 | 1 | +7 | 20 |
| 2 |
Randers FC
|
9 | 5 | 4 | 0 | +7 | 19 |
| 3 |
Viborg
|
8 | 5 | 0 | 3 | +3 | 15 |
| 4 |
Silkeborg
|
8 | 4 | 1 | 3 | +4 | 13 |
| 5 |
Aarhus
|
8 | 4 | 1 | 3 | +3 | 13 |
| 6 |
FC Copenhagen
|
9 | 4 | 0 | 5 | +1 | 12 |
| 7 |
Horsens
|
8 | 3 | 2 | 3 | -1 | 11 |
| 8 |
Midtjylland
|
9 | 2 | 4 | 3 | +0 | 10 |
| 9 |
Brondby
|
9 | 3 | 1 | 5 | -5 | 10 |
| 10 |
Odense
|
9 | 3 | 1 | 5 | -7 | 10 |
| 11 |
Aalborg
|
9 | 2 | 3 | 4 | -3 | 9 |
| 12 |
Lyngby
|
9 | 0 | 3 | 6 | -9 | 3 |
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
S. Þórðarson
M
M. Brink
M
A. Klynge
M
S. Jørgensen
F
Coach: K. Nielsen
J. Hansen
G
T. Thiesson Kristensen
D
F. Tingager
D
Y. Aurel Bisseck
D
T. Mølgaard
M
M. Emil Madsen
M
M. Anderson
M
E. Kahl
M
P. Mortensen
F
S. Haugen
F
Coach: U. Rösler
Green columns are the outcomes that came in.
Anderlecht
Silkeborg
FC Copenhagen
Silkeborg
Silkeborg
Odense
Silkeborg
HJK Helsinki
Nordsjaelland
Silkeborg
Jorgen Daugbjerg Burchardt · 15 kamper i vår database
🟥 Red cards: 0,20 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.