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
Aalborg
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: 2–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
FC Copenhagen
|
25 | 15 | 3 | 7 | +24 | 48 |
| 2 |
Nordsjaelland
|
25 | 13 | 8 | 4 | +18 | 47 |
| 3 |
Viborg
|
25 | 11 | 7 | 7 | +8 | 40 |
| 4 |
Aarhus
|
25 | 11 | 6 | 8 | +6 | 39 |
| 5 |
Randers FC
|
25 | 9 | 10 | 6 | -1 | 37 |
| 6 |
Midtjylland
|
25 | 8 | 11 | 6 | +6 | 35 |
| 7 |
Odense
|
25 | 9 | 7 | 9 | -10 | 34 |
| 8 |
Brondby
|
25 | 9 | 6 | 10 | -5 | 33 |
| 9 |
Silkeborg
|
25 | 8 | 6 | 11 | -4 | 30 |
| 10 |
Horsens
|
25 | 7 | 5 | 13 | -15 | 26 |
| 11 |
Lyngby
|
25 | 4 | 8 | 13 | -15 | 20 |
| 12 |
Aalborg
|
25 | 4 | 7 | 14 | -12 | 19 |
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
R. Østrøm
D
S. Þórðarson
M
M. Brink
M
A. Klynge
M
S. Jørgensen
M
T. Adamsen
F
Coach: K. Nielsen
S. Otoa
D
Y. Bakiz
M
M. Højholt
M
I. Fossum
M
Coach: O. Hiljemark
Green columns are the outcomes that came in.
Odense
Silkeborg
Silkeborg
Horsens
Silkeborg
Sonderjyske
Lyngby
Silkeborg
Silkeborg
Midtjylland
Peter Kjaersgaard-Andersen · 16 kamper i vår database
🟥 Red cards: 0,13 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.