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
Bodo/Glimt
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bodo/Glimt
|
16 | 11 | 3 | 2 | +23 | +13.6 | 36 |
| 2 |
Brann
|
17 | 8 | 6 | 3 | +5 | +10.9 | 30 |
| 3 |
Molde
|
16 | 8 | 4 | 4 | +13 | +11.0 | 28 |
| 4 |
Viking
|
15 | 8 | 4 | 3 | +9 | +4.9 | 28 |
| 5 |
Fredrikstad
|
15 | 7 | 5 | 3 | +8 | +0.9 | 26 |
| 6 |
KFUM Oslo
|
15 | 5 | 6 | 4 | +0 | +4.7 | 21 |
| 7 |
Stromsgodset
|
15 | 5 | 4 | 6 | -4 | -1.9 | 19 |
| 8 |
Lillestrom
|
14 | 6 | 1 | 7 | -6 | -3.7 | 19 |
| 9 |
Ham-Kam
|
16 | 4 | 5 | 7 | +0 | -1.5 | 17 |
| 10 |
Kristiansund
|
15 | 4 | 5 | 6 | -3 | -7.3 | 17 |
| 11 |
Haugesund
|
14 | 5 | 2 | 7 | -5 | -4.5 | 17 |
| 12 |
Tromso
|
16 | 5 | 2 | 9 | -6 | -8.1 | 17 |
| 13 |
Rosenborg
|
14 | 5 | 2 | 7 | -7 | -2.3 | 17 |
| 14 |
Sarpsborg 08
|
15 | 5 | 2 | 8 | -8 | -6.5 | 17 |
| 15 |
Odd
|
16 | 3 | 5 | 8 | -14 | -9.5 | 14 |
| 16 |
Sandefjord
|
15 | 3 | 4 | 8 | -5 | -0.7 | 13 |
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.
E. Ødegaard
G
H. Hoseth
D
Momodou Njie
D
H. Aleesami
D
J. Hjorth
D
T. Haltvik
M
R. Rasch
M
S. Hestnes
M
Moussa Njie
M
Coach: J. Moesgaard
N. Haikin
G
B. Wembangomo
D
O. Bjørtuft
D
F. Bjørkan
D
H. Evjen
M
P. Berg
M
U. Saltnes
M
F. Sjøvold
F
O. Kapskarmo
F
A. Mikkelsen
F
Coach: K. Knutsen
Green columns are the outcomes that came in.
Molde
KFUM Oslo
Tromso
KFUM Oslo
KFUM Oslo
Viking
Lillestrom
KFUM Oslo
KFUM Oslo
Sandefjord
S Sinnes · 93 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.