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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KFUM Oslo
Sandefjord
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 |
Aalesund
|
23 | 19 | 3 | 1 | +33 | 60 |
| 2 |
Start
|
23 | 15 | 4 | 4 | +18 | 49 |
| 3 |
Sandefjord
|
23 | 14 | 7 | 2 | +16 | 49 |
| 4 |
KFUM Oslo
|
23 | 11 | 6 | 6 | +14 | 39 |
| 5 |
Sogndal
|
23 | 10 | 5 | 8 | +8 | 35 |
| 6 |
Kongsvinger
|
24 | 10 | 4 | 10 | -2 | 34 |
| 7 |
Raufoss
|
23 | 11 | 1 | 11 | -4 | 34 |
| 8 |
Nest-Sotra
|
23 | 9 | 6 | 8 | +6 | 33 |
| 9 |
Ull/Kisa
|
24 | 9 | 4 | 11 | +0 | 31 |
| 10 |
Sandnes ULF
|
23 | 8 | 5 | 10 | +1 | 29 |
| 11 |
Ham-Kam
|
23 | 8 | 5 | 10 | -3 | 29 |
| 12 |
Jerv
|
23 | 7 | 8 | 8 | -7 | 29 |
| 13 |
Notodden
|
23 | 6 | 3 | 14 | -11 | 21 |
| 14 |
Strommen
|
23 | 3 | 9 | 11 | -16 | 18 |
| 15 |
Skeid
|
23 | 3 | 8 | 12 | -13 | 17 |
| 16 |
Tromsdalen Uil
|
23 | 2 | 2 | 19 | -40 | 8 |
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.
R. Rasch
L. Larsen
S. Jarl
Coach: J. Isnes
V. Jonsson
M. Ofkir
Coach: Martí Cifuentes
Green columns are the outcomes that came in.
Aalesund
KFUM Oslo
KFUM Oslo
Skeid
Notodden
KFUM Oslo
KFUM Oslo
Ull/Kisa
Jerv
KFUM Oslo
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.