Pontedera
1 – 1
Full time
Sambenedettese
Pontedera vs Sambenedettese betting tips
Pontedera vs Sambenedettese finished 1-1. Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
What are the tips for Pontedera vs Sambenedettese?
1X2
Pick: Final Time 1X
· Odds 1.33
· Prob 70%
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
Head to head
Pontedera recent
7 Dec 2025
Ravenna vs Pontedera
2-1
30 Nov 2025
Pontedera vs Carpi
0-1
16 Nov 2025
Pontedera vs Pianese
2-0
2 Nov 2025
Pontedera vs Perugia
2-2
20 Oct 2025
Pontedera vs Vis Pesaro 1898
0-2
12 Oct 2025
Ascoli vs Pontedera
5-0
5 Oct 2025
Gubbio vs Pontedera
1-1
27 Sep 2025
Pontedera vs Forli
2-1
23 Sep 2025
Ternana vs Pontedera
2-1
19 Sep 2025
Pontedera vs Campobasso
0-4
Sambenedettese recent
30 Nov 2025
Arezzo vs Sambenedettese
1-0
23 Nov 2025
Sambenedettese vs Pineto
1-1
7 Nov 2025
Campobasso vs Sambenedettese
1-1
26 Oct 2025
Ascoli vs Sambenedettese
1-0
18 Oct 2025
Livorno vs Sambenedettese
2-1
12 Oct 2025
Sambenedettese vs Ravenna
0-1
4 Oct 2025
Torres vs Sambenedettese
0-2
27 Sep 2025
Sambenedettese vs Juventus Next Gen
4-2
23 Sep 2025
Perugia vs Sambenedettese
1-2
20 Sep 2025
Sambenedettese vs Carpi
0-1
Who will win Pontedera vs Sambenedettese?
Frequently asked questions
Who will win Pontedera vs Sambenedettese?
Our model currently leans Final Time 1X with about 70% confidence. See free and VIP markets below.
What are the odds for Pontedera vs Sambenedettese?
The featured free market shows odds around 1.33 (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 28 Oct 2026 15:27 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient