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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Sonderjyske
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: 2–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Midtjylland
|
22 | 14 | 3 | 5 | +15 | +4.5 | 45 |
| 2 |
FC Copenhagen
|
22 | 11 | 8 | 3 | +14 | +11.7 | 41 |
| 3 |
Aarhus
|
22 | 9 | 9 | 4 | +19 | +9.8 | 36 |
| 4 |
Randers FC
|
22 | 9 | 8 | 5 | +11 | +10.6 | 35 |
| 5 |
Nordsjaelland
|
22 | 10 | 5 | 7 | +3 | +7.1 | 35 |
| 6 |
Brondby
|
22 | 8 | 9 | 5 | +10 | +6.7 | 33 |
| 7 |
Silkeborg
|
22 | 8 | 9 | 5 | +9 | +4.0 | 33 |
| 8 |
Viborg
|
23 | 8 | 7 | 8 | +3 | -7.0 | 31 |
| 9 |
Aalborg
|
23 | 5 | 6 | 12 | -22 | -19.1 | 21 |
| 10 |
Lyngby
|
22 | 3 | 9 | 10 | -11 | -6.0 | 18 |
| 11 |
Sonderjyske
|
22 | 4 | 5 | 13 | -25 | -14.4 | 17 |
| 12 |
Vejle
|
22 | 3 | 4 | 15 | -26 | -8.1 | 13 |
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.
M. Bundgaard
G
T. Klysner
D
D. Grétarsson
D
T. Sommer
M
R. Vinderslev
M
M. Agger
M
L. Björklund
M
O. Hyseni
M
K. Ingason
F
Coach: T. Nørgaard
R. Østrøm
D
J. Gammelby
D
M. Larsen
M
A. Klynge
M
C. McCowatt
M
Y. Bakiz
M
T. Adamsen
F
Coach: K. Nielsen
Green columns are the outcomes that came in.
Sonderjyske
Aalborg
FC Copenhagen
Sonderjyske
Sonderjyske
Silkeborg
Nordsjaelland
Sonderjyske
Sonderjyske
Aarhus
M Kristoffersen · 69 kamper i vår database
🟥 Red cards: 0,06 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.