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
Nordsjaelland
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
|
26 | 15 | 4 | 7 | +14 | +5.3 | 49 |
| 2 |
FC Copenhagen
|
26 | 13 | 8 | 5 | +13 | +13.7 | 47 |
| 3 |
Brondby
|
25 | 11 | 9 | 5 | +14 | +6.7 | 42 |
| 4 |
Randers FC
|
26 | 11 | 8 | 7 | +10 | +9.5 | 41 |
| 5 |
Aarhus
|
26 | 10 | 10 | 6 | +18 | +8.8 | 40 |
| 6 |
Silkeborg
|
26 | 10 | 9 | 7 | +12 | +5.8 | 39 |
| 7 |
Viborg
|
26 | 10 | 8 | 8 | +5 | -6.8 | 38 |
| 8 |
Nordsjaelland
|
25 | 11 | 5 | 9 | +3 | +6.5 | 38 |
| 9 |
Sonderjyske
|
26 | 7 | 5 | 14 | -22 | -13.2 | 26 |
| 10 |
Aalborg
|
26 | 5 | 8 | 13 | -26 | -19.7 | 23 |
| 11 |
Lyngby
|
26 | 3 | 10 | 13 | -15 | -7.0 | 19 |
| 12 |
Vejle
|
26 | 4 | 6 | 16 | -26 | -9.5 | 18 |
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.
G. Beavers
G
J. Vanlerberghe
D
R. Lauritsen
D
J. Rasmussen
D
S. Sebulonsen
M
D. Wass
M
N. Nartey
M
M. Divković
M
C. Bischoff
F
M. Kvistgaarden
F
Coach: F. Christensen
A. Hansen
G
P. Ankersen
D
T. Salquist
D
L. Høgsberg
D
J. Lähteenmäki
D
C. Yirenkyi
M
M. Brink
M
Z. Sertdemir
M
B. Nygren
F
S. Egeli
F
M. Dorgeles
F
Coach: J. Olsen
Green columns are the outcomes that came in.
FC Copenhagen
Brondby
Brondby
Aarhus
Midtjylland
Brondby
Brondby
Silkeborg
Randers FC
Brondby
J Burchardt · 36 kamper i vår database
🟥 Red cards: 0,08 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.