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OBOS-ligaen
Referee: N Utveksling
KFUM Oslo
S S T T U
6–2
Full-time
Jerv
S T T U T

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

🔒 Who wins? Pro

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

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Team trends

KFUM Oslo Jerv
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,7
0,8
Over 2.5 Ø 59%
50%
67%
Both score Ø 75%
67%
83%
Average goals
2,7
3,5
Scored
1,3
1,3
Conceded
1,3
2,2
Goal diff per game
+0,0
-0,8
This season — OBOS-ligaen · 21/21 matches
Win Ø 41%
48%
33%
Points per game
1,7
1,2
Over 2.5 Ø 60%
48%
71%
Both score Ø 69%
52%
86%
Average goals
2,9
3,4
Scored
1,6
1,5
Conceded
1,3
1,9
Goal diff per game
+0,3
-0,4
🔒 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 KFUM Oslo 3. · Jerv 12.
# Team K V U T +/− P
1 Fredrikstad 21 12 8 1 +17 44
2 Kongsvinger 22 12 3 7 +10 39
3 KFUM Oslo 21 10 5 6 +7 35
4 Start 21 9 7 5 +13 34
5 Sogndal 21 10 4 7 +4 34
6 Ranheim 22 10 3 9 -11 33
7 Kristiansund 20 8 6 6 +6 30
8 Sandnes ULF 20 8 5 7 +9 29
9 Bryne 20 8 4 8 +2 28
10 Raufoss 21 8 4 9 +1 28
11 Moss 21 7 5 9 -7 26
12 Jerv 21 7 5 9 -8 26
13 Asane 22 5 8 9 -3 23
14 hodd 21 6 5 10 -6 23
15 Mjondalen 22 6 5 11 -7 23
16 Skeid 22 2 5 15 -27 11

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.