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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Brondby
Aalborg
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: 2–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
15 | 9 | 4 | 2 | +12 | 31 |
| 2 |
Viborg
|
15 | 8 | 4 | 3 | +7 | 28 |
| 3 |
Randers FC
|
15 | 6 | 5 | 4 | +1 | 23 |
| 4 |
Silkeborg
|
15 | 6 | 3 | 6 | +3 | 21 |
| 5 |
Midtjylland
|
14 | 5 | 6 | 3 | +3 | 21 |
| 6 |
FC Copenhagen
|
15 | 6 | 3 | 6 | +3 | 21 |
| 7 |
Aarhus
|
15 | 6 | 3 | 6 | +3 | 21 |
| 8 |
Odense
|
14 | 5 | 4 | 5 | -3 | 19 |
| 9 |
Horsens
|
15 | 5 | 3 | 7 | -4 | 18 |
| 10 |
Brondby
|
14 | 4 | 5 | 5 | -4 | 17 |
| 11 |
Aalborg
|
14 | 3 | 5 | 6 | -5 | 14 |
| 12 |
Lyngby
|
15 | 0 | 5 | 10 | -16 | 5 |
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.
M. Hermansen
G
J. Gammelby
D
K. Tshiembe
D
D. Wass
M
M. Greve
M
S. Hedlund
M
A. Ben Slimane
M
Coach: N. Frederiksen
T. Sander
G
I. Fossum
M
Pedro Ferreira
M
A. Poulsen
M
Y. Bakiz
F
Coach: E. Hamrén
Green columns are the outcomes that came in.
Aarhus
Brondby
Aarhus Fremad
Brondby
Brondby
FC Copenhagen
Randers FC
Brondby
Brondby
Lyngby
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.