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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Valerenga
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bodo/Glimt
|
16 | 12 | 2 | 2 | +30 | +24.8 | 38 |
| 2 |
Viking
|
15 | 12 | 1 | 2 | +23 | +12.7 | 37 |
| 3 |
Tromso
|
16 | 10 | 4 | 2 | +15 | +8.1 | 34 |
| 4 |
Lillestrom
|
15 | 8 | 1 | 6 | +4 | +3.6 | 25 |
| 5 |
Molde
|
15 | 7 | 3 | 5 | +6 | +7.3 | 24 |
| 6 |
Brann
|
16 | 7 | 1 | 8 | +6 | -0.4 | 22 |
| 7 |
Sarpsborg 08
|
15 | 6 | 4 | 5 | -1 | +0.6 | 22 |
| 8 |
Ham-Kam
|
15 | 6 | 3 | 6 | -3 | -3.5 | 21 |
| 9 |
Valerenga
|
15 | 6 | 2 | 7 | -5 | -3.6 | 20 |
| 10 |
Rosenborg
|
15 | 5 | 3 | 7 | +0 | +1.2 | 18 |
| 11 |
KFUM Oslo
|
16 | 5 | 3 | 8 | -8 | -8.8 | 18 |
| 12 |
Fredrikstad
|
15 | 5 | 2 | 8 | -11 | -10.0 | 17 |
| 13 |
Sandefjord
|
16 | 4 | 3 | 9 | -9 | -8.5 | 15 |
| 14 |
Aalesund
|
15 | 2 | 7 | 6 | -14 | -9.3 | 13 |
| 15 |
Kristiansund
|
15 | 3 | 3 | 9 | -12 | -8.3 | 12 |
| 16 |
Start
|
16 | 2 | 4 | 10 | -21 | -5.8 | 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.
O. Hedvall
G
S. Jarl
D
A. Olsen
D
I. Nasberg
D
K. Finnsson
D
M. Westergaard
M
F. Ambina
M
C. Lange
M
L. Haren
M
M. Ofkir
F
M. Grundetjern
F
Coach: Johannes Moesgaard
N. Haikin
G
F. Sjovold
D
O. L. Bjortuft
D
H. Aleesami
D
I. Maatta
D
P. Berg
M
S. Auklend
M
S. Fet
M
O. Brynhildsen
M
O. Blomberg
F
A. Helmersen
F
Coach: Kjetil Knutsen
Green columns are the outcomes that came in.
Valerenga
Ham-Kam
Brann
Valerenga
Valerenga
Aalesund
Tromso
Valerenga
Valerenga
Kristiansund
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.