OBOS-ligaen
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.
Unlock with ProAlready have an account? Log in
Kongsvinger
Sandnes ULF
Expected goals, over/under and both teams to score — priced by the model before kick-off.
Unlock with ProAlready have an account? Log in
The model's top final scores with the best bookmaker odds.
Unlock with ProAlready have an account? Log in
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Brann
|
27 | 23 | 3 | 1 | +71 | 72 |
| 2 |
Stabaek
|
28 | 15 | 9 | 4 | +32 | 54 |
| 3 |
Start
|
27 | 14 | 6 | 7 | +24 | 48 |
| 4 |
KFUM Oslo
|
26 | 12 | 7 | 7 | +10 | 43 |
| 5 |
Kongsvinger
|
24 | 11 | 7 | 6 | +12 | 40 |
| 6 |
Sogndal
|
28 | 11 | 7 | 10 | +0 | 40 |
| 7 |
Sandnes ULF
|
26 | 12 | 4 | 10 | -1 | 40 |
| 8 |
Ranheim
|
28 | 11 | 7 | 10 | -3 | 40 |
| 9 |
Mjondalen
|
28 | 12 | 3 | 13 | -9 | 39 |
| 10 |
Raufoss
|
27 | 9 | 8 | 10 | -12 | 35 |
| 11 |
Bryne
|
28 | 8 | 8 | 12 | -9 | 32 |
| 12 |
Asane
|
28 | 8 | 8 | 12 | -22 | 32 |
| 13 |
Fredrikstad
|
27 | 7 | 8 | 12 | -5 | 29 |
| 14 |
Skeid
|
27 | 7 | 4 | 16 | -15 | 25 |
| 15 |
Grorud
|
28 | 3 | 8 | 17 | -34 | 17 |
| 16 |
Stjørdals-Blink
|
27 | 3 | 5 | 19 | -39 | 14 |
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.
F. Holmé
M. Sjølstad
M. Vinjor
Coach: E. Mæland
T. Heggem
Coach: B. Berntsen
Green columns are the outcomes that came in.
Ranheim
Kongsvinger
Kongsvinger
Sogndal
Asane
Kongsvinger
Kongsvinger
KFUM Oslo
Stjørdals-Blink
Kongsvinger
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.