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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Lyngby
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
FC Copenhagen
|
28 | 15 | 8 | 5 | +17 | +11.8 | 53 |
| 2 |
Midtjylland
|
28 | 16 | 4 | 8 | +18 | +4.9 | 52 |
| 3 |
Brondby
|
28 | 12 | 11 | 5 | +15 | +8.0 | 47 |
| 4 |
Randers FC
|
29 | 12 | 9 | 8 | +10 | +8.1 | 45 |
| 5 |
Silkeborg
|
28 | 11 | 9 | 8 | +14 | +5.4 | 42 |
| 6 |
Nordsjaelland
|
29 | 12 | 6 | 11 | -2 | +7.0 | 42 |
| 7 |
Aarhus
|
28 | 10 | 10 | 8 | +14 | +10.7 | 40 |
| 8 |
Viborg
|
28 | 10 | 10 | 8 | +5 | -3.5 | 40 |
| 9 |
Sonderjyske
|
28 | 8 | 6 | 14 | -21 | -14.5 | 30 |
| 10 |
Lyngby
|
28 | 4 | 11 | 13 | -13 | -6.0 | 23 |
| 11 |
Aalborg
|
28 | 5 | 8 | 15 | -28 | -20.6 | 23 |
| 12 |
Vejle
|
28 | 5 | 6 | 17 | -29 | -11.2 | 21 |
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.
J. Ægidius
G
O. Buur
D
M. Jensen
D
L. Lissens
D
L. Klassen
D
S. Magnússon
M
P. Langhoff
M
C. Winther
M
J. Cornelius
F
L. Sandgrav
F
Coach: M. Karlsen
L. Lund
G
H. Bidstrup
D
D. Anyembe
D
I. Näsberg
D
S. Kuzmić
D
M. Søndergaard
M
T. Jørgensen
M
I. Jensen
F
Coach: J. Poulsen
Green columns are the outcomes that came in.
Lyngby
Silkeborg
Viborg
Lyngby
Lyngby
Sonderjyske
Aalborg
Lyngby
Silkeborg
Lyngby
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.