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
Brondby
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
|
15 | 9 | 4 | 2 | +12 | 31 |
| 2 |
Viborg
|
16 | 8 | 5 | 3 | +7 | 29 |
| 3 |
FC Copenhagen
|
16 | 7 | 3 | 6 | +6 | 24 |
| 4 |
Silkeborg
|
16 | 7 | 3 | 6 | +4 | 24 |
| 5 |
Randers FC
|
16 | 6 | 5 | 5 | -3 | 23 |
| 6 |
Aarhus
|
16 | 6 | 4 | 6 | +3 | 22 |
| 7 |
Odense
|
15 | 6 | 4 | 5 | -2 | 22 |
| 8 |
Midtjylland
|
15 | 5 | 6 | 4 | +2 | 21 |
| 9 |
Horsens
|
16 | 6 | 3 | 7 | +0 | 21 |
| 10 |
Brondby
|
15 | 5 | 5 | 5 | -3 | 20 |
| 11 |
Aalborg
|
16 | 3 | 5 | 8 | -7 | 14 |
| 12 |
Lyngby
|
16 | 0 | 5 | 11 | -19 | 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. Hansen
G
A. Gigović
M
F. Tongya
M
Coach: A. Alm
M. Hermansen
G
J. Gammelby
D
K. Tshiembe
D
M. Greve
M
S. Hedlund
M
A. Ben Slimane
M
Coach: N. Frederiksen
Green columns are the outcomes that came in.
Midtjylland
Odense
Odense
Lyngby
Viborg
Odense
Odense
Silkeborg
Aalborg
Odense
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.