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
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: 0–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Midtjylland
|
30 | 19 | 4 | 7 | +19 | +11.0 | 61 |
| 2 |
Brondby
|
30 | 17 | 8 | 5 | +24 | +6.7 | 59 |
| 3 |
FC Copenhagen
|
30 | 18 | 4 | 8 | +27 | +18.9 | 58 |
| 4 |
Nordsjaelland
|
30 | 16 | 8 | 6 | +26 | +4.5 | 56 |
| 5 |
Aarhus
|
30 | 9 | 11 | 10 | -6 | +5.0 | 38 |
| 6 |
Randers FC
|
31 | 9 | 11 | 11 | -9 | +0.5 | 38 |
| 7 |
Viborg
|
31 | 10 | 7 | 14 | -11 | -2.8 | 37 |
| 8 |
Vejle
|
31 | 9 | 9 | 13 | -3 | -17.5 | 36 |
| 9 |
Silkeborg
|
30 | 10 | 5 | 15 | -9 | +5.5 | 35 |
| 10 |
Lyngby
|
31 | 9 | 8 | 14 | -14 | -6.7 | 35 |
| 11 |
Odense
|
31 | 8 | 8 | 15 | -10 | -6.9 | 32 |
| 12 |
Hvidovre IF
|
31 | 4 | 7 | 20 | -34 | -18.2 | 19 |
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
J. Felix
D
A. Poulsen
D
P. Mattsson
M
M. Brink
M
M. Larsen
M
C. McCowatt
F
T. Adamsen
F
S. Þórðarson
F
Coach: K. Nielsen
P. Pentz
G
J. Vanlerberghe
D
R. Lauritsen
D
J. Rasmussen
D
S. Sebulonsen
M
D. Wass
M
M. Divković
M
Y. Suzuki
F
F. Bundgaard
F
Coach: J. Sørensen
Green columns are the outcomes that came in.
Aarhus
Silkeborg
Nordsjaelland
Silkeborg
Silkeborg
Aarhus
Silkeborg
FC Copenhagen
Silkeborg
Midtjylland
J Karlsen · 66 kamper i vår database
🟥 Red cards: 0,10 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.