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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Bodo/Glimt
Ham-Kam
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 |
Tromso
|
15 | 9 | 4 | 2 | +11 | +8.8 | 31 |
| 2 |
Viking
|
12 | 10 | 0 | 2 | +19 | +12.4 | 30 |
| 3 |
Bodo/Glimt
|
13 | 9 | 2 | 2 | +20 | +18.2 | 29 |
| 4 |
Lillestrom
|
13 | 8 | 1 | 4 | +9 | +5.7 | 25 |
| 5 |
Molde
|
13 | 6 | 2 | 5 | +4 | +2.6 | 20 |
| 6 |
Brann
|
14 | 6 | 1 | 7 | +6 | +1.2 | 19 |
| 7 |
Ham-Kam
|
12 | 5 | 3 | 4 | -2 | -2.1 | 18 |
| 8 |
Sarpsborg 08
|
13 | 5 | 3 | 5 | -2 | +1.3 | 18 |
| 9 |
Valerenga
|
13 | 5 | 2 | 6 | -3 | -3.3 | 17 |
| 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
|
13 | 3 | 3 | 7 | -10 | -7.3 | 12 |
| 16 |
Start
|
14 | 1 | 4 | 9 | -19 | -7.4 | 7 |
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. Sjovold
D
O. L. Bjortuft
D
H. Aleesami
D
F. Bjorkan
D
H. Evjen
M
P. Berg
M
U. Saltnes
M
O. Brynhildsen
M
O. Blomberg
F
A. Helmersen
F
Coach: Kjetil Knutsen
M. Sandberg
G
P. Metcalfe
D
S. Nilsen
D
F. Sjolstad
D
E. Amundsen-Day
D
A. Ekeroth
D
W. Osnes-Ringen
M
L. Mares
M
A. Potur
M
J. Gonstad
F
H. Udahl
F
Coach: Thomas Myhre
Green columns are the outcomes that came in.
Bodo/Glimt
Fredrikstad
KFUM Oslo
Bodo/Glimt
Rosenborg
Bodo/Glimt
Bodo/Glimt
Brann
Start
Bodo/Glimt
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.