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OBOS-ligaen
Referee: M Koløy
Sandnes ULF
T S S U U
2–1
Full-time
Bryne
T T S S 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

Sandnes ULF Bryne
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,5
1,5
Over 2.5 Ø 67%
67%
67%
Both score Ø 75%
83%
67%
Average goals
3,0
3,8
Scored
1,5
2,0
Conceded
1,5
1,8
Goal diff per game
+0,0
+0,2
🔒 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

2. Oct -21 Sandnes ULF – Bryne 2–0 21. Jul -21 Bryne – Sandnes ULF 0–1 21. Aug -16 Sandnes ULF – Bryne 1–1 5. Jun -16 Bryne – Sandnes ULF 1–0

Match report

Sandnes ULF Bryne
1–0 I. Halgunset ⚽
6′
14′
⚽ K. Hay 2–0
own goal
3–0 M. Ramsland ⚽
16′
27′
🟨 S. Gronli
S. Saethre 🟨
34′
Half-time 3–0
61′
🔁 O. Rotihaug
↦ V. Aasen
61′
🔁 P. Ullenes
↦ P. Aamodt
79′
🔁 J. Voilås
↦ B. Langeland
M. Ramsland 🟨
89′
F. Pålerud 🔁
↦ S. Sæthre
93′
Full-time 3–0

Line-ups

Sandnes ULF

1 A. Falch
3 E. Berger
15 S. Sæthre
4 K. Hay
14 T. Heggem
17 I. Halgunset
18 G. Øregaard
21 A. Hiim
10 T. Høiland
29 M. Ramsland
9 J. Ekeland
Bench (8)
2 F. Pålerud
6 C. Landu-Landu
16 M. Effiom
19 D. Braut
20 J. Brune Aune
22 H. Tadesse
26 A. Memedov
27 S. Lønning

Coach: B. Berntsen

Bryne

99 I. Spiridonov
5 R. Baldvinsson
45 C. Røer
3 P. Aamodt
20 S. Norheim
6 H. Romslo
11 B. Langeland
7 V. Aasen
16 A. Dybevik
10 R. Undheim
17 S. Grønli
Bench (9)
2 O. Rotihaug
23 P. Ullenes
18 J. Voilås
4 M. Andersen
8 S. Jensen
12 E. Hadaya
14 D. Hermansson
19 T. Guddal
90 A. Tjåland

Coach: K. Knappen

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.