Eliteserien
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
Bodo/Glimt
Viking
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
Half-time score: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Molde
|
1 | 1 | 0 | 0 | +4 | +1.3 | 3 |
| 2 |
Brann
|
1 | 1 | 0 | 0 | +2 | +1.4 | 3 |
| 3 |
Rosenborg
|
1 | 1 | 0 | 0 | +2 | -0.7 | 3 |
| 4 |
Bodo/Glimt
|
1 | 1 | 0 | 0 | +2 | +1.4 | 3 |
| 5 |
Kristiansund
|
1 | 1 | 0 | 0 | +1 | -0.8 | 3 |
| 6 |
Haugesund
|
1 | 1 | 0 | 0 | +1 | -1.1 | 3 |
| 7 |
Viking
|
1 | 1 | 0 | 0 | +1 | +0.9 | 3 |
| 8 |
KFUM Oslo
|
1 | 0 | 1 | 0 | +0 | +1.2 | 1 |
| 9 |
Ham-Kam
|
1 | 0 | 1 | 0 | +0 | -1.2 | 1 |
| 10 |
Lillestrom
|
1 | 0 | 0 | 1 | -1 | +0.8 | 0 |
| 11 |
Odd
|
1 | 0 | 0 | 1 | -1 | +1.1 | 0 |
| 12 |
Sarpsborg 08
|
1 | 0 | 0 | 1 | -1 | -0.9 | 0 |
| 13 |
Tromso
|
1 | 0 | 0 | 1 | -2 | -1.4 | 0 |
| 14 |
Sandefjord
|
1 | 0 | 0 | 1 | -2 | +0.7 | 0 |
| 15 |
Fredrikstad
|
1 | 0 | 0 | 1 | -2 | -1.4 | 0 |
| 16 |
Stromsgodset
|
1 | 0 | 0 | 1 | -4 | -1.3 | 0 |
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.
N. Haikin
G
F. Sjøvold
D
J. Gundersen
D
F. Bjørkan
D
H. Evjen
M
P. Berg
M
A. Grønbæk
M
N. Žugelj
F
A. Mikkelsen
F
J. Hauge
F
Coach: K. Knutsen
P. Gunnarsson
G
V. Vevatne
D
S. Langås
D
S. Svendsen
M
J. Bell
M
Z. Tripić
M
L. Salvesen
F
Coach: B. Aarsheim
Green columns are the outcomes that came in.
Fredrikstad
Bodo/Glimt
Bodo/Glimt
Ajax
Ajax
Bodo/Glimt
Club Brugge
Bodo/Glimt
Bodo/Glimt
Molde
E Eskås · 109 kamper i vår database
🟥 Red cards: 0,06 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.