Betting 
Torreense
3 – 0
Full time
Pacos Ferreira
Torreense vs Pacos Ferreira betting tips
Torreense vs Pacos Ferreira finished 3-0. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Torreense vs Pacos Ferreira?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.22
· Prob 74%
VIP
Won
1X2
Pick: Final Time 1X
· Odds 1.33
· Prob 73%
VIP
Won
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
Previous meetings and recent results
Head to head
Torreense recent
1 Mar 2025
Tondela vs Torreense
2-2
16 Feb 2025
Portimonense vs Torreense
1-2
27 Jan 2025
Torreense vs Benfica B
1-1
18 Jan 2025
Feirense vs Torreense
1-1
12 Jan 2025
Leixoes vs Torreense
1-1
5 Jan 2025
Torreense vs Mafra
1-0
22 Dec 2024
Torreense vs Penafiel
0-1
7 Dec 2024
Torreense vs Academico de Viseu
1-0
10 Nov 2024
Torreense vs Uniao Leiria
2-1
4 Oct 2024
Torreense vs Tondela
0-2
Pacos Ferreira recent
3 Mar 2025
Pacos Ferreira vs Oliveirense
0-1
22 Feb 2025
Benfica B vs Pacos Ferreira
0-0
15 Feb 2025
Pacos Ferreira vs Feirense
1-2
8 Feb 2025
Penafiel vs Pacos Ferreira
1-2
31 Jan 2025
Pacos Ferreira vs Leixoes
0-0
19 Jan 2025
Pacos Ferreira vs Mafra
2-1
5 Jan 2025
Pacos Ferreira vs Academico de Viseu
4-3
14 Dec 2024
Uniao Leiria vs Pacos Ferreira
0-1
8 Dec 2024
Pacos Ferreira vs Portimonense
0-1
Who will win Torreense vs Pacos Ferreira?
Frequently asked questions
Who will win Torreense vs Pacos Ferreira?
Our model currently leans Under 3.5 with about 74% confidence. See free and VIP markets below.
What are the odds for Torreense vs Pacos Ferreira?
The featured free market shows odds around 1.22 (decimal). Switch odds format in the header if you prefer American or Fractional.
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 6 Nov 2026 05:58 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient