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
Ham-Kam
Kongsvinger
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 |
Aalesund
|
16 | 12 | 2 | 2 | +23 | 38 |
| 2 |
Sogndal
|
17 | 10 | 5 | 2 | +15 | 35 |
| 3 |
Mjondalen
|
18 | 10 | 5 | 3 | +14 | 35 |
| 4 |
Viking
|
18 | 11 | 1 | 6 | +14 | 34 |
| 5 |
Kongsvinger
|
18 | 9 | 2 | 7 | +11 | 29 |
| 6 |
Ull/Kisa
|
19 | 7 | 7 | 5 | +9 | 28 |
| 7 |
Tromsdalen Uil
|
18 | 8 | 4 | 6 | +0 | 28 |
| 8 |
Notodden
|
19 | 7 | 3 | 9 | -3 | 24 |
| 9 |
Sandnes ULF
|
18 | 6 | 5 | 7 | -8 | 23 |
| 10 |
Nest-Sotra
|
18 | 6 | 4 | 8 | -1 | 22 |
| 11 |
Asane
|
18 | 6 | 4 | 8 | -8 | 22 |
| 12 |
Jerv
|
17 | 5 | 6 | 6 | -3 | 21 |
| 13 |
Ham-Kam
|
18 | 5 | 5 | 8 | -3 | 20 |
| 14 |
Floro
|
18 | 4 | 3 | 11 | -23 | 15 |
| 15 |
Strommen
|
18 | 4 | 1 | 13 | -16 | 13 |
| 16 |
Levanger
|
18 | 3 | 3 | 12 | -21 | 12 |
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.
L. Mickelson
S. Nordli
M. Solbakken
Coach: O. Knappen
F. Pålerud
F. Sjølstad
N. Castro
Coach: M. Dempsey
Green columns are the outcomes that came in.
Jerv
Ham-Kam
Ham-Kam
Viking
Sogndal
Ham-Kam
Ham-Kam
Tromsdalen Uil
Viking
Ham-Kam
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.