Trapani
2 – 1
Full time
Audace Cerignola
Trapani vs Audace Cerignola betting tips
Trapani vs Audace Cerignola finished 2-1. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Trapani vs Audace Cerignola?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.21
· Prob 72%
VIP
Won
1X2
Pick: Final Time 12
· Odds 1.29
· Prob 72%
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
Trapani recent
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
5 Apr 2025
Latina vs Trapani
0-2
30 Mar 2025
Trapani vs Catania
0-3
Audace Cerignola recent
19 Oct 2025
Audace Cerignola vs Cavese 1919
1-3
5 Oct 2025
Audace Cerignola vs Cosenza
1-2
28 Sep 2025
Audace Cerignola vs Catania
0-0
20 Sep 2025
Audace Cerignola vs Foggia
0-0
12 Sep 2025
Monopoli 1966 vs Audace Cerignola
2-0
7 Sep 2025
Audace Cerignola vs Siracusa
3-1
30 Aug 2025
Potenza vs Audace Cerignola
0-0
25 Aug 2025
Audace Cerignola vs Picerno
2-2
27 Apr 2025
Audace Cerignola vs Latina
1-0
13 Apr 2025
Audace Cerignola vs Benevento
2-4
Who will win Trapani vs Audace Cerignola?
Frequently asked questions
Who will win Trapani vs Audace Cerignola?
Our model currently leans Under 3.5 with about 72% confidence. See free and VIP markets below.
What are the odds for Trapani vs Audace Cerignola?
The featured free market shows odds around 1.21 (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 08:31 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient