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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Odense
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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| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
FC Copenhagen
|
27 | 17 | 6 | 4 | +31 | 57 |
| 2 |
Midtjylland
|
27 | 17 | 3 | 7 | +21 | 54 |
| 3 |
Aalborg
|
27 | 13 | 5 | 9 | +10 | 44 |
| 4 |
Silkeborg
|
27 | 11 | 10 | 6 | +19 | 43 |
| 5 |
Brondby
|
27 | 11 | 7 | 9 | -3 | 40 |
| 6 |
Randers FC
|
27 | 11 | 6 | 10 | -3 | 39 |
| 7 |
Viborg
|
28 | 8 | 12 | 8 | -1 | 36 |
| 8 |
Odense
|
27 | 7 | 11 | 9 | -1 | 32 |
| 9 |
Nordsjaelland
|
28 | 7 | 9 | 12 | -10 | 30 |
| 10 |
Aarhus
|
27 | 6 | 10 | 11 | -9 | 28 |
| 11 |
Vejle
|
27 | 5 | 7 | 15 | -27 | 22 |
| 12 |
Sonderjyske
|
27 | 3 | 8 | 16 | -27 | 17 |
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.
Aarhus
Odense
Viborg
Odense
Odense
Vejle
Sonderjyske
Odense
Odense
Nordsjaelland
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.