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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Molde
Tromso
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bodo/Glimt
|
19 | 13 | 3 | 3 | +32 | +30.0 | 42 |
| 2 |
Viking
|
19 | 13 | 3 | 3 | +21 | +17.2 | 42 |
| 3 |
Brann
|
18 | 11 | 3 | 4 | +7 | +14.5 | 36 |
| 4 |
Tromso
|
18 | 10 | 3 | 5 | +5 | +5.0 | 33 |
| 5 |
Rosenborg
|
18 | 8 | 6 | 4 | +3 | +6.9 | 30 |
| 6 |
Sandefjord
|
18 | 9 | 1 | 8 | +9 | -4.3 | 28 |
| 7 |
KFUM Oslo
|
19 | 7 | 6 | 6 | +9 | +5.8 | 27 |
| 8 |
Valerenga
|
19 | 8 | 3 | 8 | +1 | -2.4 | 27 |
| 9 |
Fredrikstad
|
18 | 7 | 5 | 6 | +3 | -2.7 | 26 |
| 10 |
Molde
|
18 | 7 | 3 | 8 | +2 | +0.5 | 24 |
| 11 |
Sarpsborg 08
|
18 | 5 | 7 | 6 | +0 | +11.3 | 22 |
| 12 |
Ham-Kam
|
19 | 5 | 6 | 8 | -10 | -11.6 | 21 |
| 13 |
Bryne
|
19 | 5 | 5 | 9 | -9 | -3.6 | 20 |
| 14 |
Kristiansund
|
18 | 5 | 5 | 8 | -13 | -13.6 | 20 |
| 15 |
Stromsgodset
|
19 | 3 | 1 | 15 | -21 | -22.6 | 10 |
| 16 |
Haugesund
|
19 | 1 | 2 | 16 | -39 | -30.5 | 5 |
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. Linnes
D
E. Haugan
D
B. Risa
D
S. Kabini
D
M. Daehli
M
O. Spiten-Nysaeter
E. Breivik
M
C. Zady
M
F. Gulbrandsen
F
Coach: Per-Mathias Høgmo
J. Haugaard
G
L. Cornic
D
V. Skjaervik
D
T. Guddal
A. S. Kinteh
D
R. Norheim
D
D. Edvardsson
M
R. Jenssen
M
J. Hjerto-Dahl
M
V. Erlien
F
D. Braut
Coach: Jørgen Vik
Green columns are the outcomes that came in.
KFUM Oslo
Molde
Molde
Ham-Kam
Molde
Bryne
Molde
Stromsgodset
Fredrikstad
Molde
Rohit Saggi · 123 kamper i vår database
🟥 Red cards: 0,12 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.