Betting 
Torres
1 – 0
Full time
Sambenedettese
Torres vs Sambenedettese betting tips
Torres vs Sambenedettese finished 1-0. Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
What are the tips for Torres vs Sambenedettese?
1X2
Pick: Final Time 1X
· Odds 1.29
· Prob 73%
VIP
Won
Over/Under 3.5
Pick: Under 3.5
· Odds 1.15
· Prob 73%
VIP
Won
Match insights: form, goals and model lean
Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
Previous meetings and recent results
Torres recent
24 Aug 2026
Livorno vs Torres
2-1
26 Apr 2026
Arezzo vs Torres
3-1
18 Apr 2026
Torres vs Gubbio
0-0
11 Apr 2026
Pineto vs Torres
0-0
28 Mar 2026
Torres vs Livorno
3-1
20 Mar 2026
Perugia vs Torres
1-1
14 Mar 2026
Torres vs Ravenna
2-2
8 Mar 2026
Carpi vs Torres
1-1
4 Mar 2026
Torres vs Guidonia Montecelio
2-1
28 Feb 2026
Forli vs Torres
2-0
Sambenedettese recent
23 Aug 2026
Sambenedettese vs Forli
2-2
26 Apr 2026
Vis Pesaro 1898 vs Sambenedettese
2-3
18 Apr 2026
Sambenedettese vs Pontedera
2-1
4 Apr 2026
Sambenedettese vs Arezzo
0-0
29 Mar 2026
Pineto vs Sambenedettese
0-0
20 Mar 2026
Ternana vs Sambenedettese
1-1
14 Mar 2026
Sambenedettese vs Campobasso
0-1
8 Mar 2026
Guidonia Montecelio vs Sambenedettese
0-1
4 Mar 2026
Sambenedettese vs Ascoli
0-1
28 Feb 2026
Sambenedettese vs Livorno
0-0
Who will win Torres vs Sambenedettese?
Frequently asked questions
Who will win Torres vs Sambenedettese?
Our model currently leans Final Time 1X with about 73% confidence. See free and VIP markets below.
What are the odds for Torres vs Sambenedettese?
The featured free market shows odds around 1.29 (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 27 Oct 2026 21:41 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient