Betting 
Osters
1 – 0
Full time
Sundsvall
Osters vs Sundsvall betting tips
Osters vs Sundsvall finished 1-0. Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
What are the tips for Osters vs Sundsvall?
Home to Score
Pick: Home Over 0.5
· Prob 81%
VIP
Won
Away Over/Under 1.5
Pick: Away Under 1.5
· Prob 75%
VIP
Won
1X2
Pick: Final Time 1
· Odds 1.64
· Prob 59%
VIP
Won
Over/Under 2.5
Pick: Over 2.5
· Odds 1.50
· Prob 54%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
Previous meetings and recent results
Osters recent
15 Aug 2026
Ljungskile vs Osters
2-3
8 Aug 2026
Osters vs Landskrona BoIS
0-1
1 Aug 2026
Ostersunds vs Osters
1-0
27 Jul 2026
Osters vs Varbergs BoIS
3-0
18 Jul 2026
Osters vs Brage
3-2
27 Jun 2026
Varbergs BoIS vs Osters
2-1
21 Jun 2026
Osters vs Falkenbergs
1-3
15 Jun 2026
Sundsvall vs Osters
0-4
9 Jun 2026
Osters vs IFK Varnamo
3-0
30 May 2026
Osters vs Norrby
2-1
Sundsvall recent
15 Aug 2026
Sundsvall vs Helsingborgs
1-1
7 Aug 2026
Ostersunds vs Sundsvall
1-0
1 Aug 2026
Sandvikens IF vs Sundsvall
5-0
26 Jul 2026
Sundsvall vs Falkenbergs
1-2
20 Jul 2026
Norrby vs Sundsvall
3-1
27 Jun 2026
Sundsvall vs Ostersunds
0-2
21 Jun 2026
Helsingborgs vs Sundsvall
5-2
15 Jun 2026
Sundsvall vs Osters
0-4
10 Jun 2026
Orebro vs Sundsvall
0-1
30 May 2026
Sundsvall vs Sandvikens IF
0-3
Who will win Osters vs Sundsvall?
Frequently asked questions
Who will win Osters vs Sundsvall?
Our model currently leans Home Over 0.5 with about 81% confidence. See free and VIP markets below.
What are the odds for Osters vs Sundsvall?
Odds appear next to unlocked free tips. VIP odds unlock in the app or after full time.
Where can I see H2H and recent form?
Scroll to Insights and H2H on this page for head-to-head results, recent W/D/L form, and goal averages when enough history is available.
Last updated 28 Oct 2026 03:24 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient