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
Aalborg
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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| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Midtjylland
|
24 | 15 | 4 | 5 | +19 | 49 |
| 2 |
Brondby
|
24 | 14 | 3 | 7 | +13 | 45 |
| 3 |
FC Copenhagen
|
24 | 12 | 5 | 7 | +7 | 41 |
| 4 |
Aarhus
|
24 | 10 | 8 | 6 | +8 | 38 |
| 5 |
Nordsjaelland
|
24 | 9 | 8 | 7 | +8 | 35 |
| 6 |
Randers FC
|
24 | 9 | 5 | 10 | +8 | 32 |
| 7 |
Aalborg
|
24 | 8 | 8 | 8 | -5 | 32 |
| 8 |
Odense
|
24 | 7 | 8 | 9 | -4 | 29 |
| 9 |
Sonderjyske
|
24 | 8 | 4 | 12 | -4 | 28 |
| 10 |
Vejle
|
24 | 7 | 7 | 10 | -11 | 28 |
| 11 |
Lyngby
|
24 | 5 | 7 | 12 | -18 | 22 |
| 12 |
Horsens
|
24 | 3 | 7 | 14 | -21 | 16 |
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.
Odense
Vejle
Lyngby
Vejle
Midtjylland
Vejle
Vejle
Aalborg
Vejle
Odense
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.