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
Lillestrom
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bodo/Glimt
|
17 | 13 | 2 | 2 | +31 | +25.5 | 41 |
| 2 |
Viking
|
17 | 13 | 1 | 3 | +23 | +14.1 | 40 |
| 3 |
Tromso
|
16 | 10 | 4 | 2 | +15 | +8.1 | 34 |
| 4 |
Lillestrom
|
16 | 8 | 1 | 7 | +2 | +3.9 | 25 |
| 5 |
Molde
|
16 | 7 | 3 | 6 | +5 | +9.8 | 24 |
| 6 |
Rosenborg
|
17 | 7 | 3 | 7 | +3 | +0.3 | 24 |
| 7 |
Brann
|
16 | 7 | 1 | 8 | +6 | -0.4 | 22 |
| 8 |
Sarpsborg 08
|
16 | 6 | 4 | 6 | -2 | -0.2 | 22 |
| 9 |
Ham-Kam
|
16 | 6 | 4 | 6 | -3 | -2.5 | 22 |
| 10 |
Valerenga
|
16 | 6 | 2 | 8 | -6 | -4.3 | 20 |
| 11 |
Fredrikstad
|
16 | 6 | 2 | 8 | -10 | -10.2 | 20 |
| 12 |
KFUM Oslo
|
16 | 5 | 3 | 8 | -8 | -8.8 | 18 |
| 13 |
Sandefjord
|
16 | 4 | 3 | 9 | -9 | -8.5 | 15 |
| 14 |
Kristiansund
|
16 | 4 | 3 | 9 | -11 | -10.8 | 15 |
| 15 |
Aalesund
|
16 | 2 | 8 | 6 | -14 | -10.4 | 14 |
| 16 |
Start
|
17 | 2 | 4 | 11 | -22 | -5.6 | 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
H. Rosten
D
B. Skaret
D
D. Schneider
D
H. Hoseth
M
M. Vinjor
M
J. Flaten
M
J. Hjorth
M
R. E. Vinge
F
J. Gonstad
F
B. Njie
F
Coach: Jorgen Isnes
P. Dahlberg
G
L. Ranger
D
R. Gabrielsen
D
S. Kristiansen
D
F. Elkaer
D
Y. Paintsil
M
Y. Ibrahimaj
M
K. Krygard
M
G. Nyheim
M
Felix Va
M
F. Gulbrandsen
F
Coach: Hans Odegaard
Green columns are the outcomes that came in.
Sandefjord
KFUM Oslo
KFUM Oslo
Kristiansund
KFUM Oslo
Molde
Lillestrom
KFUM Oslo
KFUM Oslo
Bodo/Glimt
Marius Grotta · 46 kamper i vår database
🟥 Red cards: 0,11 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.