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Eliteserien
Start
T U T T U
3–1
Full-time

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

Start Jerv
Last 6 — all competitions · 6/1 matches
Win Ø 0%
0%
0%
Points per game
0,3
1,0
Over 2.5 Ø 34%
67%
0%
Both score Ø 84%
67%
100%
Average goals
3,5
2,0
Scored
0,8
1,0
Conceded
2,7
1,0
Goal diff per game
-1,8
+0,0
This season — Eliteserien · 31/1 matches
Win Ø 8%
16%
0%
Points per game
0,7
1,0
Over 2.5 Ø 33%
65%
0%
Both score Ø 84%
68%
100%
Average goals
3,3
2,0
Scored
1,2
1,0
Conceded
2,1
1,0
Goal diff per game
-0,9
+0,0
🔒 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 +46 69
2 Stromsgodset 30 17 6 7 +23 57
3 Stabaek 30 17 5 8 +11 56
4 Odd 30 15 10 5 +20 55
5 Viking 30 17 2 11 +14 53
6 Molde 30 15 7 8 +31 52
7 Valerenga 30 14 7 9 +8 49
8 Lillestrom 30 12 9 9 +2 45
9 Bodo/Glimt 30 12 4 14 -3 40
10 Aalesund 30 11 5 14 -15 38
11 Sarpsborg 08 30 8 10 12 -12 34
12 Haugesund 30 8 7 15 -19 31
13 Tromso 30 7 8 15 -14 29
14 Start 31 5 8 18 -29 23
15 Mjondalen 30 4 9 17 -31 21
16 Sandefjord 30 4 4 22 -32 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

21. Nov -15 Jerv – Start 1–1

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