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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Valerenga
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 |
Bodo/Glimt
|
15 | 11 | 2 | 2 | +26 | +22.9 | 35 |
| 2 |
Viking
|
14 | 11 | 1 | 2 | +20 | +13.0 | 34 |
| 3 |
Tromso
|
15 | 9 | 4 | 2 | +11 | +8.8 | 31 |
| 4 |
Lillestrom
|
14 | 8 | 1 | 5 | +8 | +5.5 | 25 |
| 5 |
Molde
|
14 | 7 | 2 | 5 | +6 | +6.5 | 23 |
| 6 |
Sarpsborg 08
|
14 | 6 | 3 | 5 | -1 | +1.4 | 21 |
| 7 |
Valerenga
|
14 | 6 | 2 | 6 | -2 | -2.8 | 20 |
| 8 |
Brann
|
15 | 6 | 1 | 8 | +5 | +0.8 | 19 |
| 9 |
Rosenborg
|
14 | 5 | 3 | 6 | +1 | -0.0 | 18 |
| 10 |
Ham-Kam
|
14 | 5 | 3 | 6 | -6 | -4.3 | 18 |
| 11 |
Sandefjord
|
14 | 4 | 3 | 7 | -7 | -7.2 | 15 |
| 12 |
Fredrikstad
|
14 | 4 | 2 | 8 | -12 | -10.5 | 14 |
| 13 |
Aalesund
|
14 | 2 | 7 | 5 | -10 | -10.0 | 13 |
| 14 |
KFUM Oslo
|
14 | 3 | 3 | 8 | -10 | -9.3 | 12 |
| 15 |
Kristiansund
|
14 | 3 | 3 | 8 | -11 | -8.6 | 12 |
| 16 |
Start
|
15 | 2 | 4 | 9 | -18 | -6.1 | 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.
O. Hedvall
G
S. Jarl
D
A. Olsen
D
K. Tshiembe
D
P. Strand
D
H. Bjordal
M
F. Ambina
M
C. Lange
M
L. Haren
M
F. Thorvaldsen
F
M. Grundetjern
F
Coach: Johannes Moesgaard
M. Sandberg
G
P. Metcalfe
D
M. Gjone
D
H. Opsahl
D
E. Amundsen-Day
D
A. Ekeroth
D
A. Potur
M
L. Mares
M
M. Johnsgard
M
D. Benjamin
F
B. Isufi
F
Coach: Thomas Myhre
Green columns are the outcomes that came in.
Brann
Valerenga
Valerenga
Aalesund
Tromso
Valerenga
Valerenga
Kristiansund
Start
Valerenga
Mathias Stofringshaug · 18 kamper i vår database
🟥 Red cards: 0,22 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.