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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Fredrikstad
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Viking
|
24 | 16 | 5 | 3 | +26 | +21.7 | 53 |
| 2 |
Bodo/Glimt
|
22 | 15 | 4 | 3 | +39 | +35.0 | 49 |
| 3 |
Brann
|
23 | 14 | 4 | 5 | +9 | +18.3 | 46 |
| 4 |
Tromso
|
24 | 14 | 3 | 7 | +9 | +5.4 | 45 |
| 5 |
Sandefjord
|
23 | 11 | 1 | 11 | +6 | -5.2 | 34 |
| 6 |
Rosenborg
|
22 | 9 | 7 | 6 | +1 | +2.9 | 34 |
| 7 |
Valerenga
|
24 | 10 | 4 | 10 | -1 | -7.5 | 34 |
| 8 |
KFUM Oslo
|
23 | 8 | 8 | 7 | +8 | +7.5 | 32 |
| 9 |
Fredrikstad
|
23 | 8 | 7 | 8 | +2 | -3.4 | 31 |
| 10 |
Molde
|
24 | 9 | 3 | 12 | +2 | +2.6 | 30 |
| 11 |
Kristiansund
|
24 | 8 | 6 | 10 | -17 | -16.4 | 30 |
| 12 |
Sarpsborg 08
|
23 | 7 | 8 | 8 | +1 | +11.4 | 29 |
| 13 |
Ham-Kam
|
23 | 6 | 6 | 11 | -10 | -10.9 | 24 |
| 14 |
Bryne
|
24 | 6 | 6 | 12 | -11 | -4.4 | 24 |
| 15 |
Stromsgodset
|
23 | 6 | 1 | 16 | -19 | -22.1 | 19 |
| 16 |
Haugesund
|
23 | 1 | 3 | 19 | -45 | -34.9 | 6 |
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.
M. Borsheim
G
S. Owusu
D
U. Fredriksen
D
D. Eid
M
P. Metcalfe
M
R. R. Shein
M
S. Rafn
M
S. Sorlokk
H. Skogvold
F
Coach: Andreas Hagen
M. Sandberg
G
V. Jonsson
G. Granath
D
F. Sjolstad
D
E. Amundsen-Day
D
A. Ekeroth
D
Y. Ibrahimaj
M
L. Mares
M
W. Osnes-Ringen
M
K. Lien
J. Gonstad
F
Coach: Thomas Harald Myhre
Green columns are the outcomes that came in.
KFUM Oslo
Fredrikstad
Brann
Fredrikstad
Valerenga
Fredrikstad
Fredrikstad
Bryne
Molde
Fredrikstad
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.