Betting 
Sestri Levante
0 – 0
Full time
Ascoli
Sestri Levante vs Ascoli betting tips
Sestri Levante vs Ascoli 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 Sestri Levante vs Ascoli?
Away to Score
Pick: Away Over 0.5
· Prob 77%
VIP
Lost
Home Over/Under 1.5
Pick: Home Under 1.5
· Prob 71%
VIP
Won
1X2
Pick: Final Time 2
· Odds 1.91
· Prob 50%
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
Sestri Levante recent
12 Apr 2025
Perugia vs Sestri Levante
2-2
30 Mar 2025
Rimini vs Sestri Levante
4-2
23 Mar 2025
Sestri Levante vs Pescara
3-1
17 Mar 2025
Entella vs Sestri Levante
4-0
11 Mar 2025
Ternana vs Sestri Levante
1-0
1 Mar 2025
Arezzo vs Sestri Levante
1-0
23 Feb 2025
Sestri Levante vs Lucchese
1-1
9 Feb 2025
Sestri Levante vs Pianese
2-3
2 Feb 2025
Torres vs Sestri Levante
2-1
24 Jan 2025
Sestri Levante vs Legnago Salus
1-1
Ascoli recent
5 Apr 2025
Gubbio vs Ascoli
0-0
30 Mar 2025
Ascoli vs Vis Pesaro 1898
0-0
22 Mar 2025
Pontedera vs Ascoli
1-1
15 Mar 2025
Ascoli vs Arezzo
1-0
11 Mar 2025
Campobasso vs Ascoli
2-0
8 Mar 2025
Ascoli vs Pineto
0-1
3 Mar 2025
Perugia vs Ascoli
2-1
17 Feb 2025
Pescara vs Ascoli
1-2
8 Feb 2025
Rimini vs Ascoli
2-0
31 Jan 2025
Ascoli vs Carpi
2-1
Who will win Sestri Levante vs Ascoli?
Frequently asked questions
Who will win Sestri Levante vs Ascoli?
Our model currently leans Away Over 0.5 with about 77% confidence. See free and VIP markets below.
What are the odds for Sestri Levante vs Ascoli?
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 2 Nov 2026 05:31 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient