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
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Brondby
|
23 | 15 | 5 | 3 | +25 | +6.7 | 50 |
| 2 |
Midtjylland
|
23 | 15 | 3 | 5 | +19 | +13.2 | 48 |
| 3 |
FC Copenhagen
|
23 | 14 | 3 | 6 | +21 | +16.8 | 45 |
| 4 |
Nordsjaelland
|
23 | 11 | 7 | 5 | +15 | +4.9 | 40 |
| 5 |
Aarhus
|
22 | 9 | 9 | 4 | +5 | +3.7 | 36 |
| 6 |
Silkeborg
|
22 | 8 | 3 | 11 | -4 | +6.3 | 27 |
| 7 |
Randers FC
|
23 | 6 | 8 | 9 | -10 | -0.3 | 26 |
| 8 |
Viborg
|
23 | 7 | 5 | 11 | -11 | -5.2 | 26 |
| 9 |
Odense
|
22 | 6 | 6 | 10 | -7 | -6.0 | 24 |
| 10 |
Lyngby
|
23 | 6 | 5 | 12 | -16 | -5.8 | 23 |
| 11 |
Vejle
|
22 | 4 | 7 | 11 | -7 | -17.8 | 19 |
| 12 |
Hvidovre IF
|
23 | 2 | 5 | 16 | -30 | -16.6 | 11 |
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
M. Larsen
M
M. Brink
M
A. Klynge
M
T. Adamsen
M
S. Þórðarson
M
A. Lind
F
Coach: K. Nielsen
J. Hansen
G
J. Jensen-Abbew
D
F. Tingager
D
M. Knoester
D
F. Beijmo
M
M. Knudsen
M
M. Emil Madsen
M
E. Kahl
M
T. Bech
F
M. Anderson
F
Coach: U. Rösler
Green columns are the outcomes that came in.
Silkeborg
Fredericia
Brondby
Silkeborg
Silkeborg
Aarhus
Nordsjaelland
Silkeborg
Vejle
Silkeborg
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.