Betting 
Oliveirense
1 – 1
Full time
Farense
Oliveirense vs Farense betting tips
Oliveirense vs Farense finished 1-1. Limited historical data available. Strong lean toward Away Over 0.5 based on this side's recent goal averages.
What are the tips for Oliveirense vs Farense?
Away to Score
Pick: Away Over 0.5
· Prob 73%
VIP
Won
Home Over/Under 1.5
Pick: Home Under 1.5
· Prob 69%
VIP
Won
1X2
Pick: Final Time 2
· Odds 1.70
· Prob 55%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Away Over 0.5 based on this side's recent goal averages.
Previous meetings and recent results
Oliveirense recent
17 May 2025
Felgueiras 1932 vs Oliveirense
2-1
10 May 2025
Oliveirense vs Maritimo
1-1
2 May 2025
Uniao Leiria vs Oliveirense
5-0
25 Apr 2025
Oliveirense vs Academico de Viseu
2-0
13 Apr 2025
Oliveirense vs Porto B
1-1
6 Apr 2025
Portimonense vs Oliveirense
2-3
15 Mar 2025
Chaves vs Oliveirense
4-0
9 Mar 2025
Oliveirense vs Vizela
0-1
3 Mar 2025
Pacos Ferreira vs Oliveirense
0-1
22 Feb 2025
Feirense vs Oliveirense
3-1
Farense recent
17 May 2025
Farense vs Santa Clara
1-2
11 May 2025
Vitoria Guimaraes vs Farense
1-2
3 May 2025
Farense vs Famalicao
2-1
26 Apr 2025
Gil Vicente vs Farense
1-0
13 Apr 2025
Estrela da Amadora vs Farense
0-1
7 Apr 2025
Farense vs Casa Pia
0-0
2 Apr 2025
Benfica vs Farense
3-2
15 Mar 2025
Farense vs SC Braga
0-1
8 Mar 2025
Estoril Praia vs Farense
2-2
16 Feb 2025
Farense vs Porto
0-1
Who will win Oliveirense vs Farense?
Frequently asked questions
Who will win Oliveirense vs Farense?
Our model currently leans Away Over 0.5 with about 73% confidence. See free and VIP markets below.
What are the odds for Oliveirense vs Farense?
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 11 Nov 2026 03:35 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient