Feirense
4 – 1
Full time
Portimonense
Feirense vs Portimonense betting tips
Feirense vs Portimonense finished 4-1. Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
What are the tips for Feirense vs Portimonense?
1X2
Pick: Final Time 1X
· Odds 1.31
· Prob 73%
VIP
Won
Over/Under 3.5
Pick: Under 3.5
· Odds 1.26
· Prob 72%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
Previous meetings and recent results
Feirense recent
10 Aug 2025
Porto B vs Feirense
0-0
14 May 2025
Leixoes vs Feirense
2-0
9 May 2025
Feirense vs Mafra
2-1
4 May 2025
Maritimo vs Feirense
1-1
27 Apr 2025
Feirense vs Porto B
0-1
19 Apr 2025
Penafiel vs Feirense
1-2
11 Apr 2025
Feirense vs Uniao Leiria
2-1
5 Apr 2025
Tondela vs Feirense
2-1
30 Mar 2025
Feirense vs Alverca
0-1
14 Mar 2025
Portimonense vs Feirense
1-2
Portimonense recent
9 Aug 2025
Portimonense vs Penafiel
2-1
3 May 2025
Academico de Viseu vs Portimonense
2-1
18 Apr 2025
Portimonense vs Pacos Ferreira
2-0
12 Apr 2025
Chaves vs Portimonense
2-0
6 Apr 2025
Portimonense vs Oliveirense
2-3
29 Mar 2025
Vizela vs Portimonense
3-2
14 Mar 2025
Portimonense vs Feirense
1-2
9 Mar 2025
Benfica B vs Portimonense
0-0
2 Mar 2025
Portimonense vs Leixoes
2-1
21 Feb 2025
Penafiel vs Portimonense
3-0
Who will win Feirense vs Portimonense?
Frequently asked questions
Who will win Feirense vs Portimonense?
Our model currently leans Final Time 1X with about 73% confidence. See free and VIP markets below.
What are the odds for Feirense vs Portimonense?
The featured free market shows odds around 1.31 (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 2 Nov 2026 19:30 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient