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Eliteserien
Stabaek
U T T S T
2–0
Full-time
Jerv
U T S S 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

Stabaek Jerv
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
0,7
2,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 59%
50%
67%
Average goals
2,5
2,2
Scored
1,0
1,3
Conceded
1,5
0,8
Goal diff per game
-0,5
+0,5
This season — Eliteserien · 31/1 matches
Win Ø 63%
26%
100%
Points per game
1,0
3,0
Over 2.5 Ø 28%
55%
0%
Both score Ø 26%
52%
0%
Average goals
2,5
1,0
Scored
1,1
1,0
Conceded
1,4
0,0
Goal diff per game
-0,3
+1,0
🔒 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
# Team K V U T +/− P
1 Rosenborg 30 21 6 3 +40 69
2 Brann 30 16 6 8 +15 54
3 Odd 30 15 6 9 +9 51
4 Haugesund 30 12 10 8 +4 46
5 Molde 30 13 6 11 +6 45
6 Sarpsborg 08 30 12 9 9 -2 45
7 Stromsgodset 30 12 8 10 +4 44
8 Viking 30 12 7 11 -2 43
9 Aalesund 30 12 6 12 -5 42
10 Valerenga 30 10 8 12 +2 38
11 Sogndal 30 8 12 10 -4 36
12 Lillestrom 30 8 10 12 -5 34
13 Tromso 30 9 7 14 -10 34
14 Stabaek 31 8 7 16 -8 31
15 Bodo/Glimt 30 8 6 16 -9 30
16 Start 30 2 10 18 -36 16

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.

Recent head-to-head meetings

30. Nov -16 Jerv – Stabaek 1–0

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