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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Sandefjord
Aalesund
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Tromso
|
8 | 6 | 1 | 1 | +7 | +7.5 | 19 |
| 2 |
Viking
|
7 | 6 | 0 | 1 | +13 | +8.6 | 18 |
| 3 |
Lillestrom
|
7 | 5 | 1 | 1 | +9 | +4.6 | 16 |
| 4 |
Bodo/Glimt
|
6 | 4 | 1 | 1 | +8 | +5.6 | 13 |
| 5 |
Brann
|
8 | 3 | 1 | 4 | +7 | +4.2 | 10 |
| 6 |
Molde
|
6 | 3 | 1 | 2 | +5 | +3.1 | 10 |
| 7 |
Ham-Kam
|
5 | 3 | 0 | 2 | -1 | -0.5 | 9 |
| 8 |
Kristiansund
|
5 | 2 | 1 | 2 | -2 | -3.8 | 7 |
| 9 |
Sandefjord
|
6 | 2 | 1 | 3 | -3 | -1.6 | 7 |
| 10 |
KFUM Oslo
|
6 | 2 | 1 | 3 | -4 | -1.6 | 7 |
| 11 |
Valerenga
|
6 | 2 | 1 | 3 | -4 | -5.4 | 7 |
| 12 |
Fredrikstad
|
7 | 2 | 1 | 4 | -6 | -5.3 | 7 |
| 13 |
Sarpsborg 08
|
7 | 1 | 2 | 4 | -5 | -0.3 | 5 |
| 14 |
Rosenborg
|
7 | 1 | 2 | 4 | -8 | -3.7 | 5 |
| 15 |
Aalesund
|
6 | 0 | 3 | 3 | -6 | -6.8 | 3 |
| 16 |
Start
|
7 | 0 | 3 | 4 | -10 | -4.5 | 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.
E. Hadaya
G
Z. Smajlovic
D
S. Mork
D
X. Lambrix
D
F. Pedersen
M
M. Melchior
M
R. Alte
M
V. Egeli
M
E. Patoulidis
F
N. Moller
F
B. Berntsen
F
Coach: Andreas Tegstrom
K. Klaesson
G
U. Charles
D
E. Engqvist
D
O. Gudmundsson
D
M. Christensen
M
E. Hagen
M
H. Melland
M
I. Djantou
F
K. Lonebu
F
Coach: Kjetil-Andre Rekdal
Green columns are the outcomes that came in.
Tromso
Sandefjord
Sandefjord
Rosenborg
Brann
Sandefjord
KFUM Oslo
Sandefjord
Sandefjord
Sarpsborg 08
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.