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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Horsens
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
12 | 7 | 3 | 2 | +8 | 24 |
| 2 |
Randers FC
|
12 | 6 | 4 | 2 | +5 | 22 |
| 3 |
Viborg
|
12 | 6 | 3 | 3 | +4 | 21 |
| 4 |
Silkeborg
|
12 | 6 | 2 | 4 | +5 | 20 |
| 5 |
Midtjylland
|
12 | 4 | 5 | 3 | +2 | 17 |
| 6 |
Aarhus
|
12 | 5 | 1 | 6 | +2 | 16 |
| 7 |
FC Copenhagen
|
12 | 5 | 1 | 6 | +1 | 16 |
| 8 |
Brondby
|
12 | 4 | 3 | 5 | -4 | 15 |
| 9 |
Odense
|
12 | 4 | 3 | 5 | -5 | 15 |
| 10 |
Horsens
|
11 | 4 | 2 | 5 | -2 | 14 |
| 11 |
Aalborg
|
11 | 2 | 4 | 5 | -5 | 10 |
| 12 |
Lyngby
|
12 | 0 | 5 | 7 | -11 | 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. Delač
G
J. Gomez
D
M. Jensen
D
T. Santos
M
D. Kruse
M
E. Just
F
Coach: J. Askou
T. Sander
G
Pedro Ferreira
M
I. Fossum
M
Y. Bakiz
M
O. Ross
F
Coach: E. Hamrén
Green columns are the outcomes that came in.
Silkeborg
Horsens
Horsens
Nordsjaelland
Viborg
Horsens
Horsens
Brondby
Ringkøbing
Horsens
Mikkel Redder · 25 kamper i vår database
🟥 Red cards: 0,10 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.