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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Aalborg
Silkeborg
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
|
15 | 9 | 4 | 2 | +12 | 31 |
| 2 |
Viborg
|
15 | 8 | 4 | 3 | +7 | 28 |
| 3 |
Randers FC
|
16 | 6 | 5 | 5 | -3 | 23 |
| 4 |
Odense
|
15 | 6 | 4 | 5 | -2 | 22 |
| 5 |
Silkeborg
|
15 | 6 | 3 | 6 | +3 | 21 |
| 6 |
FC Copenhagen
|
15 | 6 | 3 | 6 | +3 | 21 |
| 7 |
Aarhus
|
15 | 6 | 3 | 6 | +3 | 21 |
| 8 |
Midtjylland
|
15 | 5 | 6 | 4 | +2 | 21 |
| 9 |
Horsens
|
16 | 6 | 3 | 7 | +0 | 21 |
| 10 |
Brondby
|
15 | 5 | 5 | 5 | -3 | 20 |
| 11 |
Aalborg
|
15 | 3 | 5 | 7 | -6 | 14 |
| 12 |
Lyngby
|
15 | 0 | 5 | 10 | -16 | 5 |
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.
T. Sander
G
I. Fossum
M
Pedro Ferreira
M
A. Poulsen
M
Y. Bakiz
F
Coach: E. Hamrén
R. Østrøm
D
J. Felix
D
S. Þórðarson
M
M. Brink
M
A. Klynge
M
S. Tengstedt
M
S. Jørgensen
M
T. Adamsen
F
Coach: K. Nielsen
Green columns are the outcomes that came in.
Brondby
Aalborg
Aalborg
Viborg
Vanløse
Aalborg
Lyngby
Aalborg
Horsens
Aalborg
Jens Maae · 18 kamper i vår database
🟥 Red cards: 0,17 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.