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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Silkeborg
Randers FC
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
|
28 | 17 | 7 | 4 | +31 | 58 |
| 2 |
Midtjylland
|
28 | 17 | 4 | 7 | +21 | 55 |
| 3 |
Silkeborg
|
28 | 12 | 10 | 6 | +21 | 46 |
| 4 |
Aalborg
|
28 | 13 | 5 | 10 | +8 | 44 |
| 5 |
Randers FC
|
28 | 12 | 6 | 10 | -2 | 42 |
| 6 |
Brondby
|
28 | 11 | 7 | 10 | -4 | 40 |
| 7 |
Viborg
|
28 | 8 | 12 | 8 | -1 | 36 |
| 8 |
Odense
|
28 | 8 | 11 | 9 | +0 | 35 |
| 9 |
Nordsjaelland
|
28 | 7 | 9 | 12 | -10 | 30 |
| 10 |
Aarhus
|
28 | 6 | 10 | 12 | -10 | 28 |
| 11 |
Vejle
|
28 | 5 | 7 | 16 | -30 | 22 |
| 12 |
Sonderjyske
|
28 | 4 | 8 | 16 | -24 | 20 |
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
Aalborg
Aalborg
Silkeborg
Randers FC
Silkeborg
Silkeborg
FC Copenhagen
Silkeborg
Brondby
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.