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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Aarhus
Sonderjyske
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
|
10 | 8 | 0 | 2 | +12 | 24 |
| 2 |
FC Copenhagen
|
10 | 7 | 2 | 1 | +17 | 23 |
| 3 |
Aalborg
|
10 | 5 | 3 | 2 | +5 | 18 |
| 4 |
Randers FC
|
10 | 5 | 2 | 3 | +2 | 17 |
| 5 |
Silkeborg
|
10 | 3 | 5 | 2 | +1 | 14 |
| 6 |
Nordsjaelland
|
10 | 4 | 1 | 5 | -2 | 13 |
| 7 |
Brondby
|
10 | 2 | 5 | 3 | -1 | 11 |
| 8 |
Odense
|
10 | 2 | 5 | 3 | -4 | 11 |
| 9 |
Viborg
|
10 | 2 | 4 | 4 | -4 | 10 |
| 10 |
Aarhus
|
9 | 2 | 3 | 4 | -4 | 9 |
| 11 |
Sonderjyske
|
9 | 2 | 2 | 5 | -6 | 8 |
| 12 |
Vejle
|
10 | 0 | 2 | 8 | -16 | 2 |
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.
Silkeborg
Aarhus
Aarhus
Vejle
Aarhus
Odense
Viborg
Aarhus
Aarhus
FC Copenhagen
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.