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OBOS-ligaen
Referee: C Moen
Ham-Kam
S U U U S
3–0
Full-time

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

Ham-Kam Stjørdals-Blink
Last 6 — all competitions · 6/6 matches
Win Ø 17%
33%
0%
Points per game
1,7
0,5
Over 2.5 Ø 33%
33%
33%
Both score Ø 84%
100%
67%
Average goals
2,7
2,7
Scored
1,7
0,8
Conceded
1,0
1,8
Goal diff per game
+0,7
-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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Match report

Ham-Kam Stjørdals-Blink
1–0 J. Enkerud
7′
R. Guerra 🟨
18′
19′
🟨 K. Tosse
A. Berisha 🔁
↦ Rubén Alegre
23′
2–0 A. Melgalvis
28′
33′
🟨 R. Bjornholm-Jatta
3–0 A. Berisha
35′
Half-time 3–0
D. Arzani 🔁
↦ R. Lindkvist
46′
55′
🟨 T. Dent
H. Kurucay 🟨
58′
64′
🔁 J. Olufsen
↦ K. Tøsse
64′
🔁 M. Strand
↦ A. Nygaard
74′
🔁 M. Augdal
↦ R. Hauge
74′
🔁 J. Skille
↦ L. Bransdal
86′
🔁 K. Rolstad
↦ L. Ramstad
E. Sildnes 🔁
↦ M. Bjørlo
89′
H. Rødølen 🔁
↦ V. Skjærvik
89′
J. Matland 🔁
↦ A. Berisha
89′
Full-time 3–0

Line-ups

Ham-Kam

31 J. Lund
5 S. Strømnes
22 R. Lindkvist
13 Rubén Alegre
58 H. Kuruçay
33 A. Melgalvis
7 K. Onsrud
6 K. Eriksen
11 M. Bjørlo
8 V. Skjærvik
9 J. Enkerud
Bench (7)
53 A. Berisha
25 D. Arzani
10 E. Sildnes
14 H. Rødølen
20 J. Matland
12 Ł. Jarosiński
24 E. Munkelien

Coach: K. Rekdal

Stjørdals-Blink

12 R. Sandberg
2 L. Ramstad
29 R. Bjørnholm-Jatta
15 V. Fiske
18 H. Lorentsen
32 O. Rødahl
8 A. Nygaard
21 K. Tøsse
37 A. Tjærandsen-Skau
25 L. Bransdal
19 R. Hauge
Bench (7)
11 J. Olufsen
14 M. Strand
7 M. Augdal
30 J. Skille
45 K. Rolstad
17 A. Pettersen
1 E. Ødegaard

Coach: T. Dent

Odds comparison

Green columns are the outcomes that came in.

Over/under goals
O1,5 ✓
O2,5 ✓
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

C Moen · 78 kamper i vår database

🟥 Red cards: 0,07 per match

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