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
Brondby
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Midtjylland
|
9 | 6 | 3 | 0 | +9 | +6.0 | 21 |
| 2 |
Aarhus
|
9 | 5 | 3 | 1 | +14 | +1.6 | 18 |
| 3 |
Silkeborg
|
8 | 5 | 1 | 2 | +6 | +0.6 | 16 |
| 4 |
Brondby
|
8 | 4 | 2 | 2 | +6 | +5.4 | 14 |
| 5 |
FC Copenhagen
|
8 | 4 | 2 | 2 | +5 | +4.3 | 14 |
| 6 |
Randers FC
|
9 | 3 | 4 | 2 | +1 | +0.2 | 13 |
| 7 |
Viborg
|
9 | 3 | 3 | 3 | +3 | -2.4 | 12 |
| 8 |
Nordsjaelland
|
9 | 3 | 3 | 3 | -1 | +5.2 | 12 |
| 9 |
Aalborg
|
8 | 3 | 0 | 5 | -11 | -5.1 | 9 |
| 10 |
Sonderjyske
|
9 | 2 | 2 | 5 | -8 | -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.
O. Sonne
D
Pedro Ganchas
D
A. Poulsen
D
M. Larsen
M
P. Mattsson
M
M. Freundlich
M
T. Adamsen
F
Coach: K. Nielsen
P. Pentz
G
S. Klaiber
D
R. Lauritsen
D
J. Rasmussen
D
S. Sebulonsen
M
D. Wass
M
C. Bischoff
M
F. Bundgaard
F
Y. Suzuki
F
M. Kvistgaarden
F
Coach: J. Sørensen
Green columns are the outcomes that came in.
Aarhus
Silkeborg
Silkeborg
Midtjylland
Vejle
Silkeborg
Silkeborg
Nordsjaelland
Gent
Silkeborg
A Uslu · 52 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.