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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Viborg
Horsens
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: 2–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Nordsjaelland
|
9 | 6 | 2 | 1 | +7 | 20 |
| 2 |
Randers FC
|
9 | 5 | 4 | 0 | +7 | 19 |
| 3 |
Silkeborg
|
9 | 5 | 1 | 3 | +5 | 16 |
| 4 |
Viborg
|
8 | 5 | 0 | 3 | +3 | 15 |
| 5 |
Aarhus
|
9 | 4 | 1 | 4 | +2 | 13 |
| 6 |
FC Copenhagen
|
9 | 4 | 0 | 5 | +1 | 12 |
| 7 |
Horsens
|
8 | 3 | 2 | 3 | -1 | 11 |
| 8 |
Midtjylland
|
9 | 2 | 4 | 3 | +0 | 10 |
| 9 |
Brondby
|
9 | 3 | 1 | 5 | -5 | 10 |
| 10 |
Odense
|
9 | 3 | 1 | 5 | -7 | 10 |
| 11 |
Aalborg
|
9 | 2 | 3 | 4 | -3 | 9 |
| 12 |
Lyngby
|
9 | 0 | 3 | 6 | -9 | 3 |
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.
L. Lund
G
A. Gaaei
D
N. Bürgy
D
Ž. Zaletel
D
O. Bundgaard
D
J. Bonde
M
J. Grønning
M
I. Said
F
J. Grot
F
Coach: J. Friis
M. Delač
G
M. Jensen
D
J. Gomez
D
T. Santos
M
D. Kruse
M
Coach: J. Askou
Green columns are the outcomes that came in.
Odense
Viborg
Viby
Viborg
Viborg
Lyngby
Viborg
West Ham
Randers FC
Viborg
Mads Kristoffer Kristoffersen · 20 kamper i vår database
🟥 Red cards: 0,11 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.