Betting 
Foggia
0 – 1
Full time
Cavese 1919
Foggia vs Cavese 1919 betting tips
Foggia vs Cavese 1919 finished 0-1. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Foggia vs Cavese 1919?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.18
· Prob 73%
VIP
Won
1X2
Pick: Final Time 12
· Odds 1.30
· Prob 70%
VIP
Won
Home Over/Under 1.5
Pick: Home Under 1.5
· Prob 62%
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
Head to head
Foggia recent
12 Mar 2025
Audace Cerignola vs Foggia
3-2
9 Mar 2025
Foggia vs Sorrento
2-1
2 Mar 2025
Catania vs Foggia
1-1
23 Feb 2025
Foggia vs Potenza
3-4
8 Feb 2025
Foggia vs Avellino
1-0
31 Jan 2025
Giugliano vs Foggia
2-1
19 Jan 2025
Foggia vs Latina
1-0
13 Jan 2025
Monopoli 1966 vs Foggia
1-0
23 Dec 2024
Trapani vs Foggia
0-0
15 Dec 2024
Foggia vs Picerno
1-0
Cavese 1919 recent
8 Mar 2025
Potenza vs Cavese 1919
2-2
3 Mar 2025
Cavese 1919 vs Casertana
1-0
15 Feb 2025
Cavese 1919 vs Picerno
1-1
7 Feb 2025
Latina vs Cavese 1919
1-0
26 Jan 2025
Monopoli 1966 vs Cavese 1919
3-1
18 Jan 2025
Avellino vs Cavese 1919
2-1
13 Jan 2025
Cavese 1919 vs Giugliano
1-0
4 Jan 2025
Crotone vs Cavese 1919
1-1
20 Dec 2024
Cavese 1919 vs Benevento
1-2
14 Dec 2024
Sorrento vs Cavese 1919
1-3
Who will win Foggia vs Cavese 1919?
Frequently asked questions
Who will win Foggia vs Cavese 1919?
Our model currently leans Under 3.5 with about 73% confidence. See free and VIP markets below.
What are the odds for Foggia vs Cavese 1919?
The featured free market shows odds around 1.18 (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 5 Nov 2026 10:28 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient