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
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Midtjylland
|
10 | 7 | 3 | 0 | +11 | +6.0 | 24 |
| 2 |
Aarhus
|
10 | 5 | 4 | 1 | +14 | +1.6 | 19 |
| 3 |
FC Copenhagen
|
9 | 5 | 2 | 2 | +7 | +7.7 | 17 |
| 4 |
Silkeborg
|
9 | 5 | 2 | 2 | +6 | +0.3 | 17 |
| 5 |
Brondby
|
9 | 4 | 3 | 2 | +6 | +5.7 | 15 |
| 6 |
Randers FC
|
10 | 3 | 5 | 2 | +1 | +0.2 | 14 |
| 7 |
Viborg
|
10 | 3 | 3 | 4 | +1 | -2.4 | 12 |
| 8 |
Nordsjaelland
|
9 | 3 | 3 | 3 | -1 | +5.2 | 12 |
| 9 |
Aalborg
|
10 | 4 | 0 | 6 | -10 | -8.4 | 12 |
| 10 |
Sonderjyske
|
10 | 2 | 2 | 6 | -11 | -8.5 | 8 |
| 11 |
Lyngby
|
9 | 1 | 3 | 5 | -6 | -2.7 | 6 |
| 12 |
Vejle
|
9 | 0 | 0 | 9 | -18 | -4.6 | 0 |
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. Storch
G
P. Gregor
D
M. Jensen
D
L. Lissens
D
L. Sandgrav
M
C. Winther
M
L. Klassen
M
S. Magnússon
F
F. Gytkjær
F
Coach: M. Karlsen
O. Sonne
D
Pedro Ganchas
D
A. Poulsen
D
M. Larsen
M
P. Mattsson
M
M. Freundlich
M
T. Adamsen
F
Y. Bakiz
F
Coach: K. Nielsen
Green columns are the outcomes that came in.
Lyngby
Aarhus
Aalborg
Lyngby
Frem
Lyngby
Lyngby
Vejle
Viborg
Lyngby
S Putros · 70 kamper i vår database
🟥 Red cards: 0,11 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.