Betting 
Team Altamura
1 – 0
Full time
Latina
Team Altamura vs Latina betting tips
Team Altamura vs Latina finished 1-0. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Team Altamura vs Latina?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.12
· Prob 74%
VIP
Won
1X2
Pick: Final Time 1X
· Odds 1.27
· 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
Head to head
Team Altamura recent
6 Feb 2026
Team Altamura vs Monopoli 1966
2-0
1 Feb 2026
Trapani vs Team Altamura
0-1
25 Jan 2026
Team Altamura vs Atalanta U23
1-1
16 Jan 2026
Cavese 1919 vs Team Altamura
1-2
10 Jan 2026
Crotone vs Team Altamura
0-1
5 Jan 2026
Team Altamura vs Casertana
0-2
21 Dec 2025
Casarano vs Team Altamura
1-0
14 Dec 2025
Team Altamura vs Audace Cerignola
1-1
6 Dec 2025
Giugliano vs Team Altamura
0-1
29 Nov 2025
Team Altamura vs Sorrento
1-2
Latina recent
6 Feb 2026
Latina vs Cavese 1919
0-0
1 Feb 2026
Monopoli 1966 vs Latina
1-0
24 Jan 2026
Latina vs Foggia
2-0
18 Jan 2026
Picerno vs Latina
0-0
10 Jan 2026
Latina vs Trapani
2-1
4 Jan 2026
Atalanta U23 vs Latina
1-2
21 Dec 2025
Latina vs Crotone
1-1
14 Dec 2025
Casertana vs Latina
3-1
6 Dec 2025
Casarano vs Latina
1-1
30 Nov 2025
Latina vs Audace Cerignola
0-2
Who will win Team Altamura vs Latina?
Related tips
Frequently asked questions
Who will win Team Altamura vs Latina?
Our model currently leans Under 3.5 with about 74% confidence. See free and VIP markets below.
What are the odds for Team Altamura vs Latina?
The featured free market shows odds around 1.12 (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 12 Nov 2026 11:10 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient