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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Aalesund
Viking
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
|
15 | 11 | 2 | 2 | +26 | +22.9 | 35 |
| 2 |
Viking
|
13 | 11 | 0 | 2 | +20 | +12.7 | 33 |
| 3 |
Tromso
|
15 | 9 | 4 | 2 | +11 | +8.8 | 31 |
| 4 |
Lillestrom
|
14 | 8 | 1 | 5 | +8 | +5.5 | 25 |
| 5 |
Molde
|
14 | 7 | 2 | 5 | +6 | +6.5 | 23 |
| 6 |
Sarpsborg 08
|
14 | 6 | 3 | 5 | -1 | +1.4 | 21 |
| 7 |
Valerenga
|
14 | 6 | 2 | 6 | -2 | -2.8 | 20 |
| 8 |
Brann
|
15 | 6 | 1 | 8 | +5 | +0.8 | 19 |
| 9 |
Ham-Kam
|
14 | 5 | 3 | 6 | -6 | -4.3 | 18 |
| 10 |
Rosenborg
|
13 | 4 | 3 | 6 | -3 | -2.0 | 15 |
| 11 |
Sandefjord
|
14 | 4 | 3 | 7 | -7 | -7.2 | 15 |
| 12 |
Fredrikstad
|
13 | 4 | 2 | 7 | -8 | -8.5 | 14 |
| 13 |
Aalesund
|
13 | 2 | 6 | 5 | -10 | -9.6 | 12 |
| 14 |
KFUM Oslo
|
14 | 3 | 3 | 8 | -10 | -9.3 | 12 |
| 15 |
Kristiansund
|
14 | 3 | 3 | 8 | -11 | -8.6 | 12 |
| 16 |
Start
|
15 | 2 | 4 | 9 | -18 | -6.1 | 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.
L. Podlech
G
S. Haram
D
E. Engqvist
D
O. Gudmundsson
D
M. Andresen
M
M. Christensen
M
E. Hagen
M
U. Charles
M
K. Lonebu
F
E. Osenbroch
F
Coach: Kjetil-Andre Rekdal
L. Belko
G
S. Bjorshol
D
G. Stensness
D
A. Baertelsen
D
V. Auklend
D
K. Askildsen
M
J. Bell
M
S. Kvia-Egeskog
M
N. Fuglestad
F
P. Christiansen
F
E. Austbo
F
Coach: Bjarte Aarsheim
Green columns are the outcomes that came in.
Valerenga
Aalesund
Aalesund
Molde
Aalesund
Ham-Kam
Tromso
Aalesund
Aalesund
Brann
Stian Rovig Sletner · 24 kamper i vår database
🟥 Red cards: 0,04 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.