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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Lillestrom
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 |
Tromso
|
7 | 6 | 1 | 0 | +12 | +9.0 | 19 |
| 2 |
Viking
|
6 | 5 | 0 | 1 | +10 | +7.2 | 15 |
| 3 |
Lillestrom
|
5 | 4 | 1 | 0 | +7 | +2.9 | 13 |
| 4 |
Molde
|
6 | 3 | 1 | 2 | +5 | +3.1 | 10 |
| 5 |
Ham-Kam
|
5 | 3 | 0 | 2 | -1 | -0.5 | 9 |
| 6 |
Bodo/Glimt
|
4 | 2 | 1 | 1 | +1 | +3.6 | 7 |
| 7 |
Kristiansund
|
5 | 2 | 1 | 2 | -2 | -3.8 | 7 |
| 8 |
Sandefjord
|
6 | 2 | 1 | 3 | -3 | -1.6 | 7 |
| 9 |
Fredrikstad
|
6 | 2 | 1 | 3 | -4 | -3.8 | 7 |
| 10 |
KFUM Oslo
|
6 | 2 | 1 | 3 | -4 | -1.6 | 7 |
| 11 |
Valerenga
|
6 | 2 | 1 | 3 | -4 | -5.4 | 7 |
| 12 |
Sarpsborg 08
|
6 | 1 | 2 | 3 | -1 | +1.3 | 5 |
| 13 |
Rosenborg
|
6 | 1 | 2 | 3 | -5 | -2.3 | 5 |
| 14 |
Brann
|
6 | 1 | 1 | 4 | +0 | +1.1 | 4 |
| 15 |
Start
|
6 | 0 | 3 | 3 | -5 | -2.4 | 3 |
| 16 |
Aalesund
|
6 | 0 | 3 | 3 | -6 | -6.8 | 3 |
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.
P. Dahlberg
G
L. Ranger
D
R. Gabrielsen
D
U. Jenssen
D
S. Ottesen
D
Y. Ibrahimaj
M
S. Drammeh
M
M. Karlsbakk
M
G. Nyheim
M
Felix Va
M
T. Olsen
F
Coach: Hans Odegaard
N. Haikin
G
F. Sjovold
D
O. L. Bjortuft
D
H. Aleesami
D
F. Bjorkan
D
H. Evjen
M
P. Berg
M
S. Auklend
M
J. Hauge
M
O. Blomberg
F
K. Hogh
F
Coach: Kjetil Knutsen
Green columns are the outcomes that came in.
Valerenga
Lillestrom
Tromso
Lillestrom
Lillestrom
Start
Molde
Lillestrom
Bodo/Glimt
Lillestrom
Tore Hansen · 217 kamper i vår database
🟥 Red cards: 0,10 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.