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
Horsens
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
24 | 13 | 7 | 4 | +18 | 46 |
| 2 |
FC Copenhagen
|
24 | 14 | 3 | 7 | +23 | 45 |
| 3 |
Viborg
|
24 | 11 | 7 | 6 | +9 | 40 |
| 4 |
Aarhus
|
24 | 11 | 6 | 7 | +7 | 39 |
| 5 |
Randers FC
|
24 | 9 | 9 | 6 | -1 | 36 |
| 6 |
Midtjylland
|
24 | 8 | 10 | 6 | +6 | 34 |
| 7 |
Odense
|
24 | 8 | 7 | 9 | -12 | 31 |
| 8 |
Silkeborg
|
23 | 8 | 6 | 9 | -1 | 30 |
| 9 |
Brondby
|
24 | 8 | 6 | 10 | -6 | 30 |
| 10 |
Horsens
|
23 | 6 | 5 | 12 | -15 | 23 |
| 11 |
Aalborg
|
24 | 4 | 6 | 14 | -12 | 18 |
| 12 |
Lyngby
|
24 | 3 | 8 | 13 | -16 | 17 |
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
T. Salquist
D
R. Østrøm
D
M. Brink
M
P. Mattsson
M
S. Tengstedt
M
S. Jørgensen
M
T. Adamsen
F
Coach: K. Nielsen
M. Delač
G
J. Gomez
D
M. Jensen
D
D. Kruse
F
Coach: J. Askou
Green columns are the outcomes that came in.
Silkeborg
Sonderjyske
Lyngby
Silkeborg
Silkeborg
Midtjylland
Brondby
Silkeborg
Sonderjyske
Silkeborg
Mikkel Redder · 25 kamper i vår database
🟥 Red cards: 0,10 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.