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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Ham-Kam
Kristiansund
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
|
18 | 14 | 2 | 2 | +33 | +27.3 | 44 |
| 2 |
Viking
|
17 | 13 | 1 | 3 | +23 | +14.1 | 40 |
| 3 |
Tromso
|
17 | 10 | 4 | 3 | +14 | +6.3 | 34 |
| 4 |
Molde
|
17 | 8 | 3 | 6 | +6 | +11.6 | 27 |
| 5 |
Lillestrom
|
17 | 8 | 2 | 7 | +2 | +4.7 | 26 |
| 6 |
Brann
|
17 | 8 | 1 | 8 | +9 | +2.1 | 25 |
| 7 |
Rosenborg
|
18 | 7 | 3 | 8 | +1 | -1.6 | 24 |
| 8 |
Fredrikstad
|
17 | 7 | 2 | 8 | -9 | -10.4 | 23 |
| 9 |
Sarpsborg 08
|
17 | 6 | 4 | 7 | -3 | +0.6 | 22 |
| 10 |
Ham-Kam
|
17 | 6 | 4 | 7 | -6 | -5.0 | 22 |
| 11 |
Valerenga
|
17 | 6 | 3 | 8 | -6 | -3.4 | 21 |
| 12 |
KFUM Oslo
|
17 | 5 | 4 | 8 | -8 | -9.7 | 19 |
| 13 |
Sandefjord
|
17 | 5 | 3 | 9 | -8 | -9.3 | 18 |
| 14 |
Kristiansund
|
17 | 4 | 3 | 10 | -12 | -10.6 | 15 |
| 15 |
Aalesund
|
17 | 2 | 9 | 6 | -14 | -11.2 | 15 |
| 16 |
Start
|
17 | 2 | 4 | 11 | -22 | -5.6 | 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.
M. Sandberg
G
P. Metcalfe
D
S. Nilsen
D
F. Sjolstad
D
E. Amundsen-Day
D
V. Jonsson
D
A. Potur
M
L. Mares
M
A. Trondsen
M
D. Moreira
F
B. Isufi
F
Coach: Thomas Myhre
M. Lansing
G
J. Kitolano
D
J. Juliusson
D
D. Ulvestad
D
J. Isaksen
D
H. Bruseth
M
S. Skeide
M
S. Svendsen
M
T. Svendsen
F
L. Alvheim
F
Z. Bytyqi
F
Coach: Amund Skiri
Green columns are the outcomes that came in.
Trysil FK
Ham-Kam
Brann
Ham-Kam
Ham-Kam
Aalesund
Valerenga
Ham-Kam
Sarpsborg 08
Ham-Kam
Stian Rovig Sletner · 24 kamper i vår database
🟥 Red cards: 0,04 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.