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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Vejle
Silkeborg
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 | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Midtjylland
|
26 | 15 | 4 | 7 | +14 | +5.3 | 49 |
| 2 |
FC Copenhagen
|
26 | 13 | 8 | 5 | +13 | +13.7 | 47 |
| 3 |
Brondby
|
26 | 11 | 10 | 5 | +14 | +6.7 | 43 |
| 4 |
Randers FC
|
26 | 11 | 8 | 7 | +10 | +9.5 | 41 |
| 5 |
Aarhus
|
26 | 10 | 10 | 6 | +18 | +8.8 | 40 |
| 6 |
Silkeborg
|
26 | 10 | 9 | 7 | +12 | +5.8 | 39 |
| 7 |
Nordsjaelland
|
26 | 11 | 6 | 9 | +3 | +6.5 | 39 |
| 8 |
Viborg
|
26 | 10 | 8 | 8 | +5 | -6.8 | 38 |
| 9 |
Sonderjyske
|
27 | 8 | 5 | 14 | -21 | -11.9 | 29 |
| 10 |
Aalborg
|
27 | 5 | 8 | 14 | -27 | -21.0 | 23 |
| 11 |
Lyngby
|
26 | 3 | 10 | 13 | -15 | -7.0 | 19 |
| 12 |
Vejle
|
26 | 4 | 6 | 16 | -26 | -9.5 | 18 |
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.
Green columns are the outcomes that came in.
Vejle
Viborg
Sonderjyske
Vejle
Vejle
Aalborg
Lyngby
Vejle
Vejle
Aarhus
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.