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OBOS-ligaen
Jerv
T U T S S
2–2
Full-time
KFUM Oslo
T S U S U

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Jerv KFUM Oslo
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,3
Over 2.5 Ø 75%
50%
100%
Both score Ø 75%
67%
83%
Average goals
3,3
5,0
Scored
1,3
2,5
Conceded
2,0
2,5
Goal diff per game
-0,7
+0,0
This season — OBOS-ligaen · 18/18 matches
Win Ø 39%
28%
50%
Points per game
1,2
1,7
Over 2.5 Ø 61%
50%
72%
Both score Ø 64%
61%
67%
Average goals
2,9
3,8
Scored
1,3
2,2
Conceded
1,7
1,6
Goal diff per game
-0,4
+0,6
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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The table before the match Jerv 10. · KFUM Oslo 4.
# Team K V U T +/− P
1 Aalesund 18 15 2 1 +24 47
2 Start 18 12 2 4 +14 38
3 Sandefjord 18 11 5 2 +11 38
4 KFUM Oslo 18 9 4 5 +10 31
5 Raufoss 18 10 1 7 -1 31
6 Sogndal 18 8 3 7 +7 27
7 Kongsvinger 18 8 3 7 -1 27
8 Nest-Sotra 18 7 5 6 +6 26
9 Sandnes ULF 18 6 5 7 +1 23
10 Jerv 18 5 7 6 -7 22
11 Ull/Kisa 18 6 3 9 +3 21
12 Ham-Kam 18 5 5 8 -5 20
13 Strommen 18 3 7 8 -9 16
14 Skeid 18 3 6 9 -6 15
15 Notodden 18 4 2 12 -12 14
16 Tromsdalen Uil 18 1 2 15 -35 5

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.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.