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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Silkeborg
Lyngby
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
|
28 | 14 | 8 | 6 | +17 | 50 |
| 2 |
FC Copenhagen
|
28 | 15 | 4 | 9 | +22 | 49 |
| 3 |
Aarhus
|
28 | 13 | 7 | 8 | +10 | 46 |
| 4 |
Viborg
|
28 | 13 | 7 | 8 | +8 | 46 |
| 5 |
Midtjylland
|
28 | 10 | 11 | 7 | +10 | 41 |
| 6 |
Randers FC
|
28 | 10 | 10 | 8 | -1 | 40 |
| 7 |
Odense
|
29 | 10 | 10 | 9 | -9 | 40 |
| 8 |
Brondby
|
28 | 11 | 6 | 11 | -6 | 39 |
| 9 |
Silkeborg
|
28 | 8 | 7 | 13 | -8 | 31 |
| 10 |
Aalborg
|
29 | 6 | 9 | 14 | -7 | 27 |
| 11 |
Horsens
|
28 | 7 | 6 | 15 | -21 | 27 |
| 12 |
Lyngby
|
28 | 5 | 9 | 14 | -15 | 24 |
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.
O. Sonne
D
T. Salquist
D
P. Mattsson
M
M. Brink
M
S. Tengstedt
M
S. Þórðarson
M
T. Adamsen
F
Coach: K. Nielsen
M. Kikkenborg
G
P. Gregor
D
T. Storm
M
S. Magnússon
M
T. Chukwuani
M
K. Finnsson
M
F. Gytkjær
F
Coach: F. Alexandersson
Green columns are the outcomes that came in.
Silkeborg
Odense
Aalborg
Silkeborg
Midtjylland
Silkeborg
Silkeborg
Aalborg
Silkeborg
Aalborg
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.