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OBOS-ligaen
Jerv
S U T T T
1–1
Full-time
Sogndal
S S T S T

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 Sogndal
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
0,8
2,0
Over 2.5 Ø 75%
67%
83%
Both score Ø 59%
67%
50%
Average goals
3,5
4,3
Scored
1,3
2,7
Conceded
2,2
1,7
Goal diff per game
-0,8
+1,0
This season — OBOS-ligaen · 14/14 matches
Win Ø 32%
21%
43%
Points per game
1,1
1,4
Over 2.5 Ø 61%
50%
71%
Both score Ø 57%
57%
57%
Average goals
2,9
3,6
Scored
1,2
1,9
Conceded
1,7
1,7
Goal diff per game
-0,5
+0,2
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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 11. · Sogndal 9.
# Team K V U T +/− P
1 Aalesund 14 11 2 1 +18 35
2 Sandefjord 14 10 3 1 +11 33
3 Start 14 9 1 4 +8 28
4 Raufoss 14 9 1 4 +2 28
5 Kongsvinger 14 7 3 4 +5 24
6 KFUM Oslo 14 7 2 5 +6 23
7 Nest-Sotra 14 6 3 5 +5 21
8 Ull/Kisa 14 6 2 6 +10 20
9 Sogndal 14 6 2 6 +3 20
10 Sandnes ULF 14 5 5 4 +3 20
11 Jerv 14 3 6 5 -7 15
12 Ham-Kam 14 3 4 7 -7 13
13 Strommen 15 2 6 7 -9 12
14 Skeid 14 2 5 7 -6 11
15 Notodden 14 3 1 10 -9 10
16 Tromsdalen Uil 15 0 2 13 -33 2

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.