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 |
Sandefjord
|
8 | 6 | 1 | 1 | +10 | 19 |
| 2 |
Levanger
|
8 | 6 | 1 | 1 | +9 | 19 |
| 3 |
Kristiansund
|
8 | 6 | 1 | 1 | +8 | 19 |
| 4 |
Asane
|
9 | 5 | 2 | 2 | +9 | 17 |
| 5 |
Kongsvinger
|
8 | 4 | 1 | 3 | +5 | 13 |
| 6 |
Strommen
|
8 | 3 | 4 | 1 | +1 | 13 |
| 7 |
Ranheim
|
8 | 4 | 0 | 4 | -3 | 12 |
| 8 |
Sandnes ULF
|
8 | 3 | 2 | 3 | +3 | 11 |
| 9 |
Jerv
|
8 | 3 | 2 | 3 | -5 | 11 |
| 10 |
KFUM Oslo
|
8 | 2 | 3 | 3 | -4 | 9 |
| 11 |
Raufoss
|
8 | 2 | 2 | 4 | -1 | 8 |
| 12 |
Mjondalen
|
8 | 2 | 2 | 4 | -8 | 8 |
| 13 |
Bryne
|
8 | 1 | 3 | 4 | -4 | 6 |
| 14 |
Ull/Kisa
|
8 | 1 | 2 | 5 | -3 | 5 |
| 15 |
hodd
|
8 | 1 | 2 | 5 | -6 | 5 |
| 16 |
Fredrikstad
|
9 | 1 | 2 | 6 | -11 | 5 |
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. Pålerud
M. Ellingsen
M. Nielsen
E. Schulze
Green columns are the outcomes that came in.
Strommen
Kongsvinger
Kongsvinger
Kristiansund
Kongsvinger
KFUM Oslo
Ranheim
Kongsvinger
Kongsvinger
Jerv
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.