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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Jerv
Stabaek
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 |
Rosenborg
|
30 | 21 | 6 | 3 | +40 | 69 |
| 2 |
Brann
|
30 | 16 | 6 | 8 | +15 | 54 |
| 3 |
Odd
|
30 | 15 | 6 | 9 | +9 | 51 |
| 4 |
Haugesund
|
30 | 12 | 10 | 8 | +4 | 46 |
| 5 |
Molde
|
30 | 13 | 6 | 11 | +6 | 45 |
| 6 |
Sarpsborg 08
|
30 | 12 | 9 | 9 | -2 | 45 |
| 7 |
Stromsgodset
|
30 | 12 | 8 | 10 | +4 | 44 |
| 8 |
Viking
|
30 | 12 | 7 | 11 | -2 | 43 |
| 9 |
Aalesund
|
30 | 12 | 6 | 12 | -5 | 42 |
| 10 |
Valerenga
|
30 | 10 | 8 | 12 | +2 | 38 |
| 11 |
Sogndal
|
30 | 8 | 12 | 10 | -4 | 36 |
| 12 |
Lillestrom
|
30 | 8 | 10 | 12 | -5 | 34 |
| 13 |
Tromso
|
30 | 9 | 7 | 14 | -10 | 34 |
| 14 |
Stabaek
|
30 | 8 | 7 | 15 | -7 | 31 |
| 15 |
Bodo/Glimt
|
30 | 8 | 6 | 16 | -9 | 30 |
| 16 |
Start
|
30 | 2 | 10 | 18 | -36 | 16 |
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.
Jerv
Kongsvinger
Jerv
Mjondalen
Strommen
Jerv
Jerv
Kristiansund
KFUM Oslo
Jerv
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.