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
Molde
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 |
Bodo/Glimt
|
14 | 10 | 3 | 1 | +22 | +12.7 | 33 |
| 2 |
Brann
|
15 | 8 | 4 | 3 | +5 | +12.3 | 28 |
| 3 |
Molde
|
14 | 8 | 3 | 3 | +14 | +11.0 | 27 |
| 4 |
Viking
|
13 | 7 | 4 | 2 | +8 | +4.6 | 25 |
| 5 |
Fredrikstad
|
13 | 6 | 4 | 3 | +7 | +1.2 | 22 |
| 6 |
Stromsgodset
|
13 | 5 | 4 | 4 | -1 | -4.1 | 19 |
| 7 |
Kristiansund
|
14 | 4 | 5 | 5 | -1 | -7.3 | 17 |
| 8 |
Rosenborg
|
14 | 5 | 2 | 7 | -7 | -2.3 | 17 |
| 9 |
Sarpsborg 08
|
14 | 5 | 1 | 8 | -8 | -7.9 | 16 |
| 10 |
Lillestrom
|
13 | 5 | 1 | 7 | -8 | -3.7 | 16 |
| 11 |
KFUM Oslo
|
13 | 3 | 6 | 4 | -2 | +4.7 | 15 |
| 12 |
Ham-Kam
|
14 | 3 | 5 | 6 | +0 | -1.7 | 14 |
| 13 |
Tromso
|
14 | 4 | 2 | 8 | -6 | -6.0 | 14 |
| 14 |
Odd
|
14 | 3 | 5 | 6 | -11 | -8.5 | 14 |
| 15 |
Haugesund
|
12 | 4 | 1 | 7 | -6 | -4.2 | 13 |
| 16 |
Sandefjord
|
14 | 2 | 4 | 8 | -6 | -0.7 | 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.
J. Fischer
G
B. Skaret
D
S. Kvile
D
S. Rafn
M
P. Metcalfe
M
J. Magnússon
M
S. Sørløkk
F
Coach: M. Thomassen
A. Posiadała
G
E. Haugan
D
C. Øyvann
D
M. Møller Dæhli
M
M. Linnes
M
E. Hestad
M
E. Breivik
M
M. Løvik
M
K. Eriksen
F
M. Eikrem
F
Coach: E. Moe
Green columns are the outcomes that came in.
Kristiansund
Fredrikstad
Rosenborg
Fredrikstad
Tromso
Fredrikstad
Fredrikstad
Tromso
Lillestrom
Fredrikstad
K Hagenes · 99 kamper i vår database
🟥 Red cards: 0,15 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.