Betting 
Grosseto
1 – 3
Full time
Pescara
Grosseto vs Pescara betting tips
Grosseto vs Pescara finished 1-3. Limited historical data available. Strong lean toward Away Over 0.5 based on this side's recent goal averages.
What are the tips for Grosseto vs Pescara?
Away to Score
Pick: Away Over 0.5
· Prob 75%
VIP
Won
Home Over/Under 1.5
Pick: Home Under 1.5
· Prob 70%
VIP
Won
Both Teams To Score
Pick: BTTS Yes
· Odds 1.50
· Prob 52%
VIP
Won
1X2
Pick: Final Time 2
· Odds 2.04
· Prob 41%
VIP
Won
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
Grosseto recent
25 Oct 2026
Grosseto vs Reggiana 1919
2-0
16 Oct 2026
Livorno vs Grosseto
4-4
26 Sep 2026
Pineto vs Grosseto
0-4
20 Sep 2026
Grosseto vs Perugia
2-0
16 Sep 2026
Grosseto vs Campobasso
2-2
12 Sep 2026
Pianese vs Grosseto
0-0
6 Sep 2026
Grosseto vs Torres
2-0
14 Apr 2022
Grosseto vs Lucchese
0-2
3 Apr 2022
Grosseto vs Siena
0-0
27 Mar 2022
Montevarchi Aquila vs Grosseto
1-1
Pescara recent
31 Oct 2026
Pescara vs Torres
0-0
23 Oct 2026
Perugia vs Pescara
1-2
12 Oct 2026
Pescara vs Guidonia Montecelio
1-1
3 Oct 2026
Livorno vs Pescara
0-1
16 Sep 2026
Pescara vs Gubbio
1-1
12 Sep 2026
Atalanta U23 vs Pescara
2-1
6 Sep 2026
Pescara vs Ravenna
0-0
29 Aug 2026
Forli vs Pescara
6-3
22 Aug 2026
Pescara vs Vis Pesaro 1898
2-0
8 May 2026
Pescara vs Spezia
1-1
Who will win Grosseto vs Pescara?
Frequently asked questions
Who will win Grosseto vs Pescara?
Our model currently leans Away Over 0.5 with about 75% confidence. See free and VIP markets below.
What are the odds for Grosseto vs Pescara?
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 13 Nov 2026 20:59 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient