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
Start
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Viking
|
13 | 11 | 0 | 2 | +20 | +12.7 | 33 |
| 2 |
Bodo/Glimt
|
14 | 10 | 2 | 2 | +23 | +20.3 | 32 |
| 3 |
Tromso
|
15 | 9 | 4 | 2 | +11 | +8.8 | 31 |
| 4 |
Lillestrom
|
14 | 8 | 1 | 5 | +8 | +5.5 | 25 |
| 5 |
Molde
|
13 | 6 | 2 | 5 | +4 | +2.6 | 20 |
| 6 |
Brann
|
14 | 6 | 1 | 7 | +6 | +1.2 | 19 |
| 7 |
Sarpsborg 08
|
13 | 5 | 3 | 5 | -2 | +1.3 | 18 |
| 8 |
Ham-Kam
|
13 | 5 | 3 | 5 | -5 | -4.2 | 18 |
| 9 |
Valerenga
|
13 | 5 | 2 | 6 | -3 | -3.3 | 17 |
| 10 |
Rosenborg
|
13 | 4 | 3 | 6 | -3 | -2.0 | 15 |
| 11 |
Sandefjord
|
13 | 4 | 3 | 6 | -4 | -4.6 | 15 |
| 12 |
Fredrikstad
|
13 | 4 | 2 | 7 | -8 | -8.5 | 14 |
| 13 |
KFUM Oslo
|
13 | 3 | 3 | 7 | -8 | -5.4 | 12 |
| 14 |
Aalesund
|
13 | 2 | 6 | 5 | -10 | -9.6 | 12 |
| 15 |
Kristiansund
|
13 | 3 | 3 | 7 | -10 | -7.3 | 12 |
| 16 |
Start
|
14 | 1 | 4 | 9 | -19 | -7.4 | 7 |
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
A. Munksgaard
D
J. Juliusson
D
D. Ulvestad
D
J. Isaksen
D
H. Bruseth
M
S. Skeide
M
W. Igor
M
S. Kilen
M
A. Ronning
F
L. Alvheim
F
Coach: Amund Skiri
J. Larsen
G
E. Reitan
D
J. Norheim
D
J. Husebo
D
O. Toure
M
E. Segberg
M
E. Schulze
M
T. Strannegard
M
S. Mvoue
F
J. Cornelius
F
J. Ampofo
F
Coach: Azar Karadas
Green columns are the outcomes that came in.
Kristiansund
Sarpsborg 08
Rosenborg
Kristiansund
Valerenga
Kristiansund
Kristiansund
Viking
Lillestrom
Kristiansund
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.