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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Odense
Viborg
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
|
7 | 5 | 1 | 1 | +6 | 16 |
| 2 |
Randers FC
|
7 | 4 | 3 | 0 | +5 | 15 |
| 3 |
Silkeborg
|
8 | 4 | 1 | 3 | +4 | 13 |
| 4 |
Aarhus
|
7 | 4 | 1 | 2 | +4 | 13 |
| 5 |
FC Copenhagen
|
8 | 4 | 0 | 4 | +2 | 12 |
| 6 |
Viborg
|
7 | 4 | 0 | 3 | +2 | 12 |
| 7 |
Horsens
|
7 | 3 | 2 | 2 | +1 | 11 |
| 8 |
Midtjylland
|
7 | 2 | 3 | 2 | +2 | 9 |
| 9 |
Odense
|
7 | 2 | 1 | 4 | -7 | 7 |
| 10 |
Brondby
|
7 | 2 | 0 | 5 | -7 | 6 |
| 11 |
Aalborg
|
7 | 1 | 2 | 4 | -5 | 5 |
| 12 |
Lyngby
|
7 | 0 | 2 | 5 | -7 | 2 |
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. Hansen
G
N. Mickelson
D
A. Adelgaard
D
A. Gigović
M
F. Tongya
M
M. Frøkjær-Jensen
M
Coach: A. Alm
L. Lund
G
A. Gaaei
D
N. Bürgy
D
Ž. Zaletel
D
O. Bundgaard
D
J. Bonde
M
J. Grønning
M
I. Said
F
J. Grot
F
Coach: J. Friis
Green columns are the outcomes that came in.
Silkeborg
Odense
Odense
Horsens
Brondby
Odense
Odense
Aarhus
Odense
Midtjylland
Peter Kjaersgaard-Andersen · 16 kamper i vår database
🟥 Red cards: 0,13 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.