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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Randers FC
Aarhus
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
21 | 11 | 7 | 3 | +17 | 40 |
| 2 |
FC Copenhagen
|
21 | 12 | 3 | 6 | +22 | 39 |
| 3 |
Viborg
|
21 | 10 | 7 | 4 | +8 | 37 |
| 4 |
Brondby
|
21 | 8 | 6 | 7 | -1 | 30 |
| 5 |
Aarhus
|
20 | 8 | 5 | 7 | +4 | 29 |
| 6 |
Randers FC
|
20 | 7 | 8 | 5 | -2 | 29 |
| 7 |
Silkeborg
|
21 | 8 | 4 | 9 | -1 | 28 |
| 8 |
Odense
|
21 | 7 | 7 | 7 | -10 | 28 |
| 9 |
Midtjylland
|
21 | 6 | 9 | 6 | +3 | 27 |
| 10 |
Horsens
|
21 | 6 | 4 | 11 | -11 | 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.
P. Carlgren
G
D. Høegh
D
S. Nordli
M
F. Bundgaard
F
Coach: T. Thomasberg
J. Hansen
G
T. Mølgaard
D
F. Tingager
D
Y. Aurel Bisseck
D
F. Beijmo
M
Kevin Yakob
M
G. Links
M
M. Anderson
F
P. Mortensen
F
Coach: U. Rösler
Green columns are the outcomes that came in.
Viborg
Randers FC
Randers FC
Lyngby
Odense
Randers FC
Randers FC
Midtjylland
Randers FC
Silkeborg
Morten Krogh · 27 kamper i vår database
🟥 Red cards: 0,26 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.