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OBOS-ligaen
Referee: M Berg
Jerv
T U U U S
2–1
Full-time
hodd
T U T U S

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

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
🔒 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

Jerv hodd
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,0
1,0
Over 2.5 Ø 42%
50%
33%
Both score Ø 59%
67%
50%
Average goals
2,5
2,7
Scored
1,3
1,5
Conceded
1,2
1,2
Goal diff per game
+0,2
+0,3
This season — OBOS-ligaen · 9/9 matches
Win Ø 22%
22%
22%
Points per game
1,0
1,2
Over 2.5 Ø 45%
67%
22%
Both score Ø 73%
89%
56%
Average goals
2,9
2,1
Scored
1,3
1,1
Conceded
1,6
1,0
Goal diff per game
-0,2
+0,1
🔒 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 14. · hodd 8.
# Team K V U T +/− P
1 Sogndal 9 5 2 2 +2 17
2 Ranheim 9 5 2 2 +1 17
3 Fredrikstad 9 3 6 0 +3 15
4 Kongsvinger 9 5 0 4 +2 15
5 Start 9 3 5 1 +7 14
6 Kristiansund 8 4 2 2 +1 14
7 Moss 9 3 4 2 +0 13
8 hodd 9 2 5 2 +1 11
9 Mjondalen 9 3 2 4 +0 11
10 Sandnes ULF 9 2 4 3 +2 10
11 Bryne 8 2 4 2 -1 10
12 KFUM Oslo 9 2 4 3 -2 10
13 Raufoss 9 2 3 4 +0 9
14 Jerv 9 2 3 4 -2 9
15 Skeid 9 1 3 5 -10 6
16 Asane 9 0 5 4 -4 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.