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OBOS-ligaen
Referee: E Bodding
2–2
Full-time
Jerv
U U S U S

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

Stjørdals-Blink Jerv
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,8
1,5
Over 2.5 Ø 67%
67%
67%
Both score Ø 67%
50%
83%
Average goals
3,0
3,0
Scored
1,3
1,5
Conceded
1,7
1,5
Goal diff per game
-0,3
+0,0
This season — OBOS-ligaen · 25/24 matches
Win Ø 43%
28%
58%
Points per game
1,0
2,0
Over 2.5 Ø 62%
60%
63%
Both score Ø 64%
60%
67%
Average goals
2,9
3,3
Scored
1,1
1,8
Conceded
1,8
1,5
Goal diff per game
-0,7
+0,3
🔒 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 Stjørdals-Blink 15. · Jerv 3.
# Team K V U T +/− P
1 Ham-Kam 25 17 5 3 +37 56
2 Aalesund 26 14 9 3 +23 51
3 Jerv 24 14 6 4 +6 48
4 Fredrikstad 24 13 6 5 +18 45
5 Sogndal 25 10 7 8 +6 37
6 KFUM Oslo 24 9 6 9 -5 33
7 Asane 25 9 5 11 -10 32
8 Raufoss 25 9 4 12 +2 31
9 Ranheim 25 8 7 10 -2 31
10 Bryne 26 9 4 13 -5 31
11 Sandnes ULF 25 8 7 10 -6 31
12 Start 25 8 6 11 -2 30
13 Grorud 26 8 3 15 -16 27
14 Ull/Kisa 25 6 7 12 -13 25
15 Stjørdals-Blink 25 7 4 14 -18 25
16 Strommen 25 2 12 11 -15 18

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.