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.
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KFUM Oslo
Molde
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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Half-time score: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Viking
|
13 | 11 | 0 | 2 | +20 | +12.7 | 33 |
| 2 |
Bodo/Glimt
|
14 | 10 | 2 | 2 | +23 | +20.3 | 32 |
| 3 |
Tromso
|
15 | 9 | 4 | 2 | +11 | +8.8 | 31 |
| 4 |
Lillestrom
|
14 | 8 | 1 | 5 | +8 | +5.5 | 25 |
| 5 |
Molde
|
13 | 6 | 2 | 5 | +4 | +2.6 | 20 |
| 6 |
Valerenga
|
14 | 6 | 2 | 6 | -2 | -2.8 | 20 |
| 7 |
Brann
|
15 | 6 | 1 | 8 | +5 | +0.8 | 19 |
| 8 |
Sarpsborg 08
|
13 | 5 | 3 | 5 | -2 | +1.3 | 18 |
| 9 |
Ham-Kam
|
13 | 5 | 3 | 5 | -5 | -4.2 | 18 |
| 10 |
Rosenborg
|
13 | 4 | 3 | 6 | -3 | -2.0 | 15 |
| 11 |
Sandefjord
|
13 | 4 | 3 | 6 | -4 | -4.6 | 15 |
| 12 |
Fredrikstad
|
13 | 4 | 2 | 7 | -8 | -8.5 | 14 |
| 13 |
KFUM Oslo
|
13 | 3 | 3 | 7 | -8 | -5.4 | 12 |
| 14 |
Aalesund
|
13 | 2 | 6 | 5 | -10 | -9.6 | 12 |
| 15 |
Kristiansund
|
14 | 3 | 3 | 8 | -11 | -8.6 | 12 |
| 16 |
Start
|
15 | 2 | 4 | 9 | -18 | -6.1 | 10 |
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.
H. Jenssen
G
D. Schneider
D
B. Skaret
D
E. Saunes
D
S. Sjokvist
M
T. Soras
M
R. Rasch
M
J. Hjorth
M
R. E. Vinge
F
M. Grodem
F
B. Njie
F
Coach: Thomas Holm
A. Posiadala
G
M. Lovik
D
S. Hansen
D
B. Risa
D
S. Kabini
D
E. Breivik
M
D. Daga
M
E. Hestad
M
S. Granaas
M
O. Spiten-Nysaeter
M
J. Abdullai
F
Coach: Sindre Tjelmeland
Green columns are the outcomes that came in.
Lillestrom
KFUM Oslo
KFUM Oslo
Bodo/Glimt
KFUM Oslo
Tromso
KFUM Oslo
Rosenborg
Brann
KFUM Oslo
Sivert Amland · 38 kamper i vår database
🟥 Red cards: 0,16 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.