Betting 
Trapani
2 – 1
Full time
Picerno
Trapani vs Picerno betting tips
Trapani vs Picerno finished 2-1. Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
What are the tips for Trapani vs Picerno?
Home to Score
Pick: Home Over 0.5
· Prob 82%
VIP
Won
Away Over/Under 1.5
Pick: Away Under 1.5
· Prob 80%
VIP
Won
Both Teams To Score
Pick: BTTS No
· Odds 1.75
· Prob 58%
VIP
Lost
1X2
Pick: Final Time 1
· Odds 1.67
· Prob 56%
VIP
Won
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
Trapani recent
2 Nov 2025
Crotone vs Trapani
1-2
26 Oct 2025
Trapani vs Audace Cerignola
2-1
19 Oct 2025
Atalanta U23 vs Trapani
2-0
12 Oct 2025
Cavese 1919 vs Trapani
0-1
5 Oct 2025
Trapani vs Giugliano
1-1
24 Sep 2025
Trapani vs Catania
1-1
14 Sep 2025
Trapani vs Casertana
2-0
6 Sep 2025
Sorrento vs Trapani
1-2
30 Aug 2025
Trapani vs Latina
6-0
27 Apr 2025
Trapani vs Casertana
0-1
Picerno recent
31 Oct 2025
Picerno vs Cavese 1919
2-2
25 Oct 2025
Atalanta U23 vs Picerno
6-2
19 Oct 2025
Team Altamura vs Picerno
3-1
11 Oct 2025
Picerno vs Casertana
0-2
4 Oct 2025
Crotone vs Picerno
3-0
29 Sep 2025
Picerno vs Foggia
2-1
24 Sep 2025
Picerno vs Benevento
2-2
21 Sep 2025
Potenza vs Picerno
2-0
31 Aug 2025
Picerno vs Giugliano
2-2
25 Aug 2025
Audace Cerignola vs Picerno
2-2
Who will win Trapani vs Picerno?
Frequently asked questions
Who will win Trapani vs Picerno?
Our model currently leans Home Over 0.5 with about 82% confidence. See free and VIP markets below.
What are the odds for Trapani vs Picerno?
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 15:13 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient