Betting 
Palermo
2 – 1
Full time
Padova
Palermo vs Padova betting tips
Palermo vs Padova finished 2-1. Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
What are the tips for Palermo vs Padova?
Home to Score
Pick: Home Over 0.5
· Prob 84%
VIP
Won
Away Over/Under 1.5
Pick: Away Under 1.5
· Prob 76%
VIP
Won
Home Over/Under 1.5
Pick: Home Over 1.5
· Prob 62%
VIP
Won
Over/Under 2.5
Pick: Over 2.5
· Odds 1.65
· Prob 54%
VIP
Won
1X2
Pick: Final Time 1
· Odds 1.51
· Prob 46%
VIP
Won
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
Previous meetings and recent results
Palermo recent
13 Sep 2026
Avellino vs Palermo
1-1
7 Sep 2026
Palermo vs Sampdoria
3-1
3 Sep 2026
Palermo vs Mantova
5-2
23 Aug 2026
Palermo vs Juve Stabia
1-0
17 Aug 2026
Palermo vs Lecce
2-0
17 May 2026
Catanzaro vs Palermo
3-0
8 May 2026
Venezia vs Palermo
2-0
1 May 2026
Palermo vs Catanzaro
3-2
25 Apr 2026
Reggiana 1919 vs Palermo
1-1
18 Apr 2026
Palermo vs Cesena
2-0
Padova recent
12 Sep 2026
Padova vs Ascoli
1-0
6 Sep 2026
Cremonese vs Padova
3-1
29 Aug 2026
Padova vs Verona
1-1
23 Aug 2026
Pisa 1909 vs Padova
0-1
15 Aug 2026
Udinese vs Padova
1-0
8 May 2026
Cesena vs Padova
3-4
1 May 2026
Padova vs Pescara
1-0
25 Apr 2026
Entella vs Padova
1-0
19 Apr 2026
Padova vs Reggiana 1919
1-0
12 Apr 2026
Padova vs Empoli
1-0
Who will win Palermo vs Padova?
Related tips
Frequently asked questions
Who will win Palermo vs Padova?
Our model currently leans Home Over 0.5 with about 84% confidence. See free and VIP markets below.
What are the odds for Palermo vs Padova?
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 16 Oct 2026 11:32 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient