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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Kristiansund
Sandefjord
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
|
24 | 16 | 5 | 3 | +36 | +18.4 | 53 |
| 2 |
Brann
|
24 | 13 | 7 | 4 | +14 | +9.4 | 46 |
| 3 |
Molde
|
24 | 13 | 5 | 6 | +26 | +15.9 | 44 |
| 4 |
Viking
|
24 | 12 | 7 | 5 | +15 | +13.1 | 43 |
| 5 |
Rosenborg
|
24 | 12 | 4 | 8 | +6 | +4.4 | 40 |
| 6 |
Fredrikstad
|
24 | 11 | 7 | 6 | +3 | +2.1 | 40 |
| 7 |
KFUM Oslo
|
24 | 8 | 9 | 7 | +1 | +7.2 | 33 |
| 8 |
Ham-Kam
|
24 | 7 | 8 | 9 | +1 | -2.4 | 29 |
| 9 |
Tromso
|
24 | 8 | 4 | 12 | -5 | -11.5 | 28 |
| 10 |
Stromsgodset
|
24 | 7 | 7 | 10 | -9 | -6.1 | 28 |
| 11 |
Kristiansund
|
23 | 6 | 8 | 9 | -9 | -10.9 | 26 |
| 12 |
Sarpsborg 08
|
24 | 7 | 5 | 12 | -15 | -6.8 | 26 |
| 13 |
Haugesund
|
24 | 6 | 5 | 13 | -14 | -6.7 | 23 |
| 14 |
Sandefjord
|
23 | 5 | 7 | 11 | -8 | -1.9 | 22 |
| 15 |
Odd
|
24 | 5 | 7 | 12 | -18 | -15.5 | 22 |
| 16 |
Lillestrom
|
24 | 6 | 3 | 15 | -24 | -8.5 | 21 |
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. Lansing
G
H. Sjåtil
D
M. Olsen
D
D. Ulvestad
D
M. Rakneberg
D
J. Isaksen
M
E. Segberg
M
R. Alte
M
O. Sivertsen
M
K. Lien
F
Coach: A. Skiri
F. Loftesnes-Bjune
D
F. Berglie
D
S. Kristiansen
D
C. Cheng
D
L. Mettler
M
F. Ottosson
M
A. Damnjanovic Nilsson
M
S. Sigurðarson
F
E. Marković
F
Coach: H. Ødegaard
Green columns are the outcomes that came in.
Bodo/Glimt
Kristiansund
Kristiansund
Odd
Kristiansund
Molde
Sarpsborg 08
Kristiansund
Kristiansund
Haugesund
R Saggi · 111 kamper i vår database
🟥 Red cards: 0,24 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.