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
Nordsjaelland
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
|
22 | 14 | 6 | 2 | +30 | 48 |
| 2 |
Midtjylland
|
22 | 13 | 3 | 6 | +15 | 42 |
| 3 |
Brondby
|
22 | 11 | 7 | 4 | +6 | 40 |
| 4 |
Aalborg
|
22 | 11 | 5 | 6 | +10 | 38 |
| 5 |
Randers FC
|
22 | 9 | 6 | 7 | +1 | 33 |
| 6 |
Silkeborg
|
22 | 7 | 10 | 5 | +13 | 31 |
| 7 |
Viborg
|
23 | 7 | 9 | 7 | -1 | 30 |
| 8 |
Aarhus
|
22 | 6 | 8 | 8 | -5 | 26 |
| 9 |
Odense
|
22 | 4 | 9 | 9 | -4 | 21 |
| 10 |
Nordsjaelland
|
22 | 5 | 6 | 11 | -13 | 21 |
| 11 |
Vejle
|
22 | 4 | 4 | 14 | -27 | 16 |
| 12 |
Sonderjyske
|
23 | 2 | 7 | 14 | -25 | 13 |
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.
Vejle
Odense
Odense
Aalborg
Sonderjyske
Odense
Odense
Midtjylland
FC Copenhagen
Odense
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.