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
Odense
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 |
FC Copenhagen
|
27 | 15 | 4 | 8 | +23 | 49 |
| 2 |
Nordsjaelland
|
27 | 13 | 8 | 6 | +16 | 47 |
| 3 |
Viborg
|
27 | 13 | 7 | 7 | +11 | 46 |
| 4 |
Aarhus
|
27 | 12 | 7 | 8 | +7 | 43 |
| 5 |
Midtjylland
|
27 | 10 | 11 | 6 | +11 | 41 |
| 6 |
Randers FC
|
27 | 10 | 10 | 7 | +1 | 40 |
| 7 |
Brondby
|
27 | 10 | 6 | 11 | -8 | 36 |
| 8 |
Odense
|
27 | 9 | 9 | 9 | -10 | 36 |
| 9 |
Silkeborg
|
27 | 8 | 7 | 12 | -7 | 31 |
| 10 |
Horsens
|
28 | 7 | 6 | 15 | -21 | 27 |
| 11 |
Aalborg
|
28 | 6 | 8 | 14 | -7 | 26 |
| 12 |
Lyngby
|
27 | 4 | 9 | 14 | -16 | 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.
O. Sonne
D
T. Salquist
D
P. Mattsson
M
M. Brink
M
S. Þórðarson
M
S. Jørgensen
M
A. Klynge
M
T. Adamsen
F
Coach: K. Nielsen
M. Hansen
G
N. Mickelson
D
T. Slotsager
D
M. Frøkjær-Jensen
M
Coach: A. Alm
Green columns are the outcomes that came in.
Aalborg
Silkeborg
Midtjylland
Silkeborg
Silkeborg
Aalborg
Silkeborg
Aalborg
Odense
Silkeborg
Jakob Kehlet · 22 kamper i vår database
🟥 Red cards: 0,19 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.