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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Lyngby
Vejle
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
|
12 | 7 | 3 | 2 | +7 | 24 |
| 2 |
Brondby
|
12 | 8 | 0 | 4 | +6 | 24 |
| 3 |
Aarhus
|
12 | 6 | 3 | 3 | +7 | 21 |
| 4 |
Sonderjyske
|
12 | 6 | 3 | 3 | +5 | 21 |
| 5 |
Randers FC
|
12 | 6 | 1 | 5 | +8 | 19 |
| 6 |
FC Copenhagen
|
12 | 6 | 1 | 5 | +1 | 19 |
| 7 |
Aalborg
|
12 | 5 | 4 | 3 | +0 | 19 |
| 8 |
Nordsjaelland
|
12 | 4 | 4 | 4 | +5 | 16 |
| 9 |
Odense
|
12 | 4 | 3 | 5 | -2 | 15 |
| 10 |
Vejle
|
12 | 4 | 2 | 6 | -6 | 14 |
| 11 |
Horsens
|
12 | 1 | 3 | 8 | -13 | 6 |
| 12 |
Lyngby
|
12 | 0 | 3 | 9 | -18 | 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.
Green columns are the outcomes that came in.
Aalborg
Lyngby
Lyngby
Randers FC
Brondby
Lyngby
Lyngby
Horsens
Lyngby
Aarhus
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.