Sambenedettese
0 – 0
Full time
Arezzo
Sambenedettese vs Arezzo betting tips
Sambenedettese vs Arezzo finished 0-0. Limited historical data available. Strong lean toward Away Over 0.5 based on this side's recent goal averages.
What are the tips for Sambenedettese vs Arezzo?
Away to Score
Pick: Away Over 0.5
· Prob 77%
VIP
Lost
Home Over/Under 1.5
Pick: Home Under 1.5
· Prob 74%
VIP
Won
1X2
Pick: Final Time 2
· Odds 1.69
· Prob 49%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Away Over 0.5 based on this side's recent goal averages.
Previous meetings and recent results
Head to head
Sambenedettese recent
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
21 Feb 2026
Ravenna vs Sambenedettese
1-0
15 Feb 2026
Sambenedettese vs Torres
1-2
12 Feb 2026
Juventus Next Gen vs Sambenedettese
4-2
8 Feb 2026
Sambenedettese vs Perugia
0-1
Arezzo recent
30 Mar 2026
Arezzo vs Ascoli
1-2
20 Mar 2026
Bra vs Arezzo
0-4
15 Mar 2026
Arezzo vs Perugia
1-1
9 Mar 2026
Campobasso vs Arezzo
0-1
4 Mar 2026
Arezzo vs Ternana
1-2
1 Mar 2026
Arezzo vs Ravenna
1-1
21 Feb 2026
Gubbio vs Arezzo
0-1
12 Feb 2026
Carpi vs Arezzo
0-1
8 Feb 2026
Arezzo vs Pianese
2-0
25 Jan 2026
Arezzo vs Juventus Next Gen
1-0
Who will win Sambenedettese vs Arezzo?
Frequently asked questions
Who will win Sambenedettese vs Arezzo?
Our model currently leans Away Over 0.5 with about 77% confidence. See free and VIP markets below.
What are the odds for Sambenedettese vs Arezzo?
Odds appear next to unlocked free tips. VIP odds unlock in the app or after full time.
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 4 Oct 2026 19:53 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient