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.
Unlock with ProAlready have an account? Log in
Brondby
Odense
Expected goals, over/under and both teams to score — priced by the model before kick-off.
Unlock with ProAlready have an account? Log in
The model's top final scores with the best bookmaker odds.
Unlock with ProAlready have an account? Log in
Half-time score: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Midtjylland
|
2 | 2 | 0 | 0 | +3 | +1.2 | 6 |
| 2 |
FC Copenhagen
|
2 | 2 | 0 | 0 | +2 | +1.4 | 6 |
| 3 |
Nordsjaelland
|
1 | 1 | 0 | 0 | +3 | – | 3 |
| 4 |
Brondby
|
1 | 1 | 0 | 0 | +1 | -1.5 | 3 |
| 5 |
Aarhus
|
1 | 1 | 0 | 0 | +1 | +2.7 | 3 |
| 6 |
Randers FC
|
2 | 0 | 2 | 0 | +0 | +2.5 | 2 |
| 7 |
Odense
|
1 | 0 | 1 | 0 | +0 | – | 1 |
| 8 |
Lyngby
|
2 | 0 | 1 | 1 | -1 | – | 1 |
| 9 |
Hvidovre IF
|
2 | 0 | 1 | 1 | -1 | -2.5 | 1 |
| 10 |
Viborg
|
2 | 0 | 1 | 1 | -3 | – | 1 |
| 11 |
Vejle
|
2 | 0 | 0 | 2 | -2 | -4.1 | 0 |
| 12 |
Silkeborg
|
2 | 0 | 0 | 2 | -3 | +0.3 | 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.
T. Mikkelsen
G
F. Alves
D
R. Lauritsen
D
K. Tshiembe
D
D. Wass
M
H. Evjen
M
M. Kvistgaarden
F
Coach: J. Sørensen
H. Bernat
G
T. Slotsager
D
A. Adelgaard
D
F. Tongya
M
R. Al Hajj
M
C. Nouck
M
Coach: A. Alm
Green columns are the outcomes that came in.
Silkeborg
Brondby
Aarhus
Brondby
Brondby
Nordsjaelland
Viborg
Brondby
Brondby
FC Copenhagen
J Sundberg · 57 kamper i vår database
🟥 Red cards: 0,15 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.