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
Viborg
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: 1–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
FC Copenhagen
|
31 | 17 | 9 | 5 | +24 | +14.1 | 60 |
| 2 |
Midtjylland
|
31 | 18 | 5 | 8 | +21 | +5.3 | 59 |
| 3 |
Silkeborg
|
31 | 13 | 10 | 8 | +16 | +6.8 | 49 |
| 4 |
Brondby
|
31 | 12 | 12 | 7 | +11 | +9.6 | 48 |
| 5 |
Randers FC
|
31 | 13 | 9 | 9 | +8 | +4.6 | 48 |
| 6 |
Nordsjaelland
|
31 | 13 | 7 | 11 | +0 | +7.2 | 46 |
| 7 |
Viborg
|
31 | 11 | 11 | 9 | +6 | -1.9 | 44 |
| 8 |
Aarhus
|
31 | 10 | 10 | 11 | +8 | +9.7 | 40 |
| 9 |
Sonderjyske
|
31 | 9 | 7 | 15 | -18 | -14.1 | 34 |
| 10 |
Vejle
|
31 | 7 | 7 | 17 | -26 | -13.6 | 28 |
| 11 |
Lyngby
|
31 | 4 | 12 | 15 | -19 | -6.4 | 24 |
| 12 |
Aalborg
|
31 | 5 | 9 | 17 | -31 | -21.2 | 24 |
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.
A. Andrésen
G
J. Nielsen
D
R. Østrøm
D
Pedro Ganchas
D
J. Gammelby
D
M. Larsen
M
M. Freundlich
M
C. McCowatt
F
T. Adamsen
F
Coach: K. Nielsen
O. Hedvall
G
H. Bidstrup
D
D. Anyembe
D
I. Näsberg
D
S. Kuzmić
D
J. Vester
M
M. Søndergaard
M
T. Jørgensen
M
I. Jensen
F
Coach: J. Poulsen
Green columns are the outcomes that came in.
Aalborg
Silkeborg
Silkeborg
Sonderjyske
Silkeborg
Brondby
Silkeborg
Vejle
Brondby
Silkeborg
J Burchardt · 36 kamper i vår database
🟥 Red cards: 0,08 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.