Maritimo
2 – 0
Full time
Torreense
Maritimo vs Torreense betting tips
Maritimo vs Torreense finished 2-0. Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
What are the tips for Maritimo vs Torreense?
1X2
Pick: Final Time 1X
· Odds 1.24
· Prob 73%
VIP
Won
Both Teams To Score
Pick: BTTS Yes
· Odds 1.80
· Prob 53%
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
Head to head
Maritimo recent
30 Nov 2025
Portimonense vs Maritimo
0-2
23 Nov 2025
Maritimo vs Penafiel
2-1
9 Nov 2025
Maritimo vs Pacos Ferreira
2-0
3 Nov 2025
Oliveirense vs Maritimo
0-2
30 Oct 2025
Maritimo vs Uniao Leiria
1-3
19 Oct 2025
Porto B vs Maritimo
1-0
3 Oct 2025
Maritimo vs Academico de Viseu
2-2
27 Sep 2025
Sporting CP B vs Maritimo
0-1
14 Sep 2025
Maritimo vs Vizela
1-1
31 Aug 2025
Farense vs Maritimo
0-2
Torreense recent
30 Nov 2025
Torreense vs Chaves
0-2
9 Nov 2025
Leixoes vs Torreense
1-0
4 Nov 2025
Torreense vs Felgueiras 1932
2-0
30 Oct 2025
Portimonense vs Torreense
0-1
24 Oct 2025
Torreense vs Oliveirense
3-2
27 Sep 2025
Benfica B vs Torreense
3-3
29 Aug 2025
Uniao Leiria vs Torreense
1-0
23 Aug 2025
Torreense vs Academico de Viseu
2-1
17 Aug 2025
Farense vs Torreense
0-3
9 Aug 2025
Torreense vs Sporting CP B
0-1
Who will win Maritimo vs Torreense?
Frequently asked questions
Who will win Maritimo vs Torreense?
Our model currently leans Final Time 1X with about 73% confidence. See free and VIP markets below.
What are the odds for Maritimo vs Torreense?
The featured free market shows odds around 1.24 (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 28 Oct 2026 11:09 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient