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
FC Copenhagen
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
21 | 11 | 7 | 3 | +17 | 40 |
| 2 |
Viborg
|
21 | 10 | 7 | 4 | +8 | 37 |
| 3 |
FC Copenhagen
|
20 | 11 | 3 | 6 | +19 | 36 |
| 4 |
Aarhus
|
20 | 8 | 5 | 7 | +4 | 29 |
| 5 |
Randers FC
|
20 | 7 | 8 | 5 | -2 | 29 |
| 6 |
Silkeborg
|
20 | 8 | 4 | 8 | +0 | 28 |
| 7 |
Odense
|
21 | 7 | 7 | 7 | -10 | 28 |
| 8 |
Midtjylland
|
21 | 6 | 9 | 6 | +3 | 27 |
| 9 |
Brondby
|
20 | 7 | 6 | 7 | -2 | 27 |
| 10 |
Horsens
|
20 | 6 | 4 | 10 | -8 | 22 |
| 11 |
Aalborg
|
21 | 3 | 6 | 12 | -14 | 15 |
| 12 |
Lyngby
|
21 | 3 | 6 | 12 | -15 | 15 |
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
D. Kruse
M
T. Santos
F
Coach: J. Askou
K. Grabara
G
K. Diks
D
E. Jelert
R. Falk
M
J. Larsson
F
H. Haraldsson
F
M. Daramy
F
Coach: J. Neestrup
Green columns are the outcomes that came in.
Aarhus
Horsens
Horsens
Viborg
Brondby
Horsens
Horsens
Odense
Vejle
Horsens
Jens Maae · 18 kamper i vår database
🟥 Red cards: 0,17 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.