Betting 
Cavese 1919
0 – 2
Full time
Latina
Cavese 1919 vs Latina betting tips
Cavese 1919 vs Latina finished 0-2. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Cavese 1919 vs Latina?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.20
· Prob 74%
VIP
Won
1X2
Pick: Final Time 1X
· Odds 1.15
· Prob 72%
VIP
Lost
Over/Under 2.5
Pick: Under 2.5
· Odds 1.61
· Prob 60%
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
Cavese 1919 recent
15 Sep 2025
Cavese 1919 vs Giugliano
2-2
7 Sep 2025
Team Altamura vs Cavese 1919
2-1
30 Aug 2025
Cavese 1919 vs Catania
0-1
24 Aug 2025
Sorrento vs Cavese 1919
0-0
19 Apr 2025
Juventus Next Gen vs Cavese 1919
3-1
12 Apr 2025
Cavese 1919 vs Catania
0-1
6 Apr 2025
Cavese 1919 vs Audace Cerignola
0-2
22 Mar 2025
Cavese 1919 vs Trapani
2-1
16 Mar 2025
Foggia vs Cavese 1919
0-1
8 Mar 2025
Potenza vs Cavese 1919
2-2
Latina recent
12 Sep 2025
Foggia vs Latina
1-1
30 Aug 2025
Trapani vs Latina
6-0
24 Aug 2025
Latina vs Atalanta U23
1-0
27 Apr 2025
Audace Cerignola vs Latina
1-0
19 Apr 2025
Latina vs Potenza
1-0
12 Apr 2025
Picerno vs Latina
1-2
5 Apr 2025
Latina vs Trapani
0-2
29 Mar 2025
Crotone vs Latina
4-0
22 Mar 2025
Sorrento vs Latina
1-1
16 Mar 2025
Latina vs Juventus Next Gen
3-2
Who will win Cavese 1919 vs Latina?
Frequently asked questions
Who will win Cavese 1919 vs Latina?
Our model currently leans Under 3.5 with about 74% confidence. See free and VIP markets below.
What are the odds for Cavese 1919 vs Latina?
The featured free market shows odds around 1.20 (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 26 Sep 2026 17:35 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient