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
Viborg
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
|
21 | 13 | 6 | 2 | +29 | 45 |
| 2 |
Brondby
|
21 | 11 | 7 | 3 | +9 | 40 |
| 3 |
Midtjylland
|
21 | 12 | 3 | 6 | +14 | 39 |
| 4 |
Aalborg
|
21 | 10 | 5 | 6 | +7 | 35 |
| 5 |
Randers FC
|
21 | 9 | 5 | 7 | +1 | 32 |
| 6 |
Silkeborg
|
21 | 7 | 10 | 4 | +14 | 31 |
| 7 |
Viborg
|
21 | 6 | 8 | 7 | -2 | 26 |
| 8 |
Aarhus
|
21 | 6 | 7 | 8 | -5 | 25 |
| 9 |
Odense
|
21 | 4 | 9 | 8 | -2 | 21 |
| 10 |
Nordsjaelland
|
21 | 5 | 6 | 10 | -12 | 21 |
| 11 |
Vejle
|
21 | 3 | 4 | 14 | -29 | 13 |
| 12 |
Sonderjyske
|
21 | 2 | 6 | 13 | -24 | 12 |
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.
Brondby
Aarhus
Aarhus
Nordsjaelland
Vejle
Aarhus
Sonderjyske
Aarhus
Aarhus
Silkeborg
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.