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
Midtjylland
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
21 | 11 | 7 | 3 | +17 | 40 |
| 2 |
FC Copenhagen
|
21 | 12 | 3 | 6 | +22 | 39 |
| 3 |
Viborg
|
21 | 10 | 7 | 4 | +8 | 37 |
| 4 |
Aarhus
|
21 | 9 | 5 | 7 | +5 | 32 |
| 5 |
Brondby
|
21 | 8 | 6 | 7 | -1 | 30 |
| 6 |
Randers FC
|
21 | 7 | 8 | 6 | -3 | 29 |
| 7 |
Silkeborg
|
21 | 8 | 4 | 9 | -1 | 28 |
| 8 |
Odense
|
21 | 7 | 7 | 7 | -10 | 28 |
| 9 |
Midtjylland
|
21 | 6 | 9 | 6 | +3 | 27 |
| 10 |
Horsens
|
21 | 6 | 4 | 11 | -11 | 22 |
| 11 |
Aalborg
|
21 | 3 | 6 | 12 | -14 | 15 |
| 12 |
Lyngby
|
21 | 3 | 6 | 12 | -15 | 15 |
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
J. Felix
D
A. Klynge
M
M. Brink
M
S. Tengstedt
F
T. Adamsen
F
S. Jørgensen
F
Coach: K. Nielsen
M. Thychosen
D
S. Gartenmann
D
V. Bak
D
O. Sørensen
M
A. Gigović
M
G. Isaksen
F
A. Şimşir
F
E. Chilufya
F
Coach: Albert Capellas
Green columns are the outcomes that came in.
Brondby
Silkeborg
Sonderjyske
Silkeborg
Silkeborg
Nordsjaelland
Aarhus
Silkeborg
Silkeborg
FC Copenhagen
Sandi Putros · 27 kamper i vår database
🟥 Red cards: 0,17 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.