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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KFUM Oslo
Viking
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: 2–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Bodo/Glimt
|
21 | 15 | 3 | 3 | +39 | +33.8 | 48 |
| 2 |
Viking
|
20 | 14 | 3 | 3 | +22 | +18.7 | 45 |
| 3 |
Brann
|
20 | 12 | 4 | 4 | +8 | +16.4 | 40 |
| 4 |
Tromso
|
21 | 12 | 3 | 6 | +7 | +4.6 | 39 |
| 5 |
Fredrikstad
|
20 | 8 | 6 | 6 | +4 | -0.8 | 30 |
| 6 |
Rosenborg
|
19 | 8 | 6 | 5 | +2 | +5.4 | 30 |
| 7 |
Valerenga
|
21 | 9 | 3 | 9 | +1 | -3.6 | 30 |
| 8 |
Sandefjord
|
20 | 9 | 1 | 10 | +7 | -4.1 | 28 |
| 9 |
Sarpsborg 08
|
21 | 7 | 7 | 7 | +2 | +12.9 | 28 |
| 10 |
KFUM Oslo
|
20 | 7 | 6 | 7 | +7 | +6.1 | 27 |
| 11 |
Molde
|
21 | 8 | 3 | 10 | +1 | +1.0 | 27 |
| 12 |
Kristiansund
|
21 | 6 | 6 | 9 | -18 | -17.6 | 24 |
| 13 |
Ham-Kam
|
21 | 5 | 6 | 10 | -13 | -14.1 | 21 |
| 14 |
Bryne
|
21 | 5 | 5 | 11 | -12 | -4.6 | 20 |
| 15 |
Stromsgodset
|
21 | 5 | 1 | 15 | -18 | -21.8 | 16 |
| 16 |
Haugesund
|
20 | 1 | 3 | 16 | -39 | -32.2 | 6 |
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.
E. Odegaard
F. Berglie
B. Skaret
D
D. Schneider
H. Hoseth
J. Hjorth
D
D. Hickson
M
S. Hestnes
M
M. Njie
H. Udahl
F
Coach: Johannes Moesgaard
K. Klaesson
G
H. Heggheim
D
H. Falchener
D
K. Haugen
D
K. Askildsen
M
S. Svendsen
M
J. Hansen
M
S. Kvia-Egeskog
M
E. Austbo
M
Coach: Morten Jensen
Green columns are the outcomes that came in.
Tromso
KFUM Oslo
KFUM Oslo
Ham-Kam
KFUM Oslo
Molde
Bryne
KFUM Oslo
KFUM Oslo
Rosenborg
Eivind Bodding · 19 kamper i vår database
🟥 Red cards: 0,08 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.