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OBOS-ligaen
Referee: H Sletner
Jerv
T U U T U
1–2
Full-time
Ranheim
T T S T T

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

Jerv Ranheim
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,0
0,5
Over 2.5 Ø 75%
67%
83%
Both score Ø 75%
83%
67%
Average goals
3,3
3,7
Scored
1,5
1,2
Conceded
1,8
2,5
Goal diff per game
-0,3
-1,3
🔒 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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Recent head-to-head meetings

16. Oct -21 Jerv – Ranheim 2–1 21. Jul -21 Ranheim – Jerv 3–4 4. Nov -20 Ranheim – Jerv 5–0 27. Aug -20 Jerv – Ranheim 1–6 29. Oct -17 Ranheim – Jerv 3–1

Match report

Jerv Ranheim
26′
🟨 R. Alte
L. Larade 🟨
27′
32′
⚽ S. Solli 0–1
43′
⚽ S. Solli 0–2
Half-time 0–2
60′
🔁 S. Marklund
↦ B. Bye
Samuel Pedro 🔁
↦ M. Ugland
68′
J. Myklebust 🔁
↦ T. Wichne
68′
74′
🔁 Hou Yongyong
↦ R. Alte
1–2 Samuel Pedro ⚽
74′
E. Duesund 🔁
↦ A. Richstad
81′
82′
🔁 D. Gaustad
↦ S. Solli
T. Ness 🔁
↦ I. Mafi
94′
Full-time 1–2

Line-ups

Jerv

20 Ø. Øvretveit
19 I. Mafi
5 E. Sandberg
2 T. Wichne
4 A. Mutsinzi
3 L. Larade
6 M. Wichmann
10 L. Fernandes
8 M. Ugland
18 A. Richstad
14 P. Wilson
Bench (6)
11 Samuel Pedro
24 J. Myklebust
88 E. Duesund
23 T. Ness
1 A. Olsvoll
22 H. Bredeli

Coach: A. Sandstø

Ranheim

92 N. Frenderup
2 C. Rismark
7 M. Reginiussen
6 J. Tromsdal
23 H. Kristiansen
4 S. Langås
8 R. Alte
9 B. Bye
15 E. Tønne
11 S. Solli
20 A. Gunnes
Bench (6)
14 S. Marklund
10 Hou Yongyong
19 D. Gaustad
1 M. Lenes
16 L. Qvigstad
18 B. Kvithyld

Coach: K. Ingebrigtsen

Odds comparison

Green columns are the outcomes that came in.

Over/under goals
O1,5 ✓
–
🔒
U1,5
–
🔒
O2,5 ✓
–
🔒
U2,5
–
🔒
O3,5
–
🔒
U3,5 ✓
–
🔒
Both teams to score
BLS ja ✓
–
🔒
BLS nei
–
🔒

Recent matches

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