Betting 
Modena
1 – 1
Full time
Mantova
Modena vs Mantova betting tips
Modena vs Mantova finished 1-1. Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
What are the tips for Modena vs Mantova?
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 63%
VIP
Lost
Over/Under 2.5
Pick: Over 2.5
· Odds 1.67
· Prob 56%
VIP
Lost
1X2
Pick: Final Time 1
· Odds 1.75
· Prob 52%
VIP
Lost
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
Head to head
Modena recent
24 Oct 2026
Modena vs Cesena
3-0
17 Oct 2026
Carrarese vs Modena
2-1
11 Oct 2026
Modena vs Verona
3-2
20 Sep 2026
Modena vs Empoli
2-1
12 Sep 2026
Sudtirol vs Modena
1-1
6 Sep 2026
Modena vs Avellino
0-1
28 Aug 2026
Cremonese vs Modena
0-3
22 Aug 2026
Benevento vs Modena
1-2
15 Aug 2026
Venezia vs Modena
3-2
8 May 2026
Avellino vs Modena
1-0
Mantova recent
27 Oct 2026
Mantova vs Cremonese
0-2
24 Oct 2026
Entella vs Mantova
0-1
17 Oct 2026
Mantova vs Palermo
0-2
11 Oct 2026
Catanzaro vs Mantova
1-3
20 Sep 2026
Mantova vs Pisa 1909
2-2
13 Sep 2026
Mantova vs Sampdoria
2-0
6 Sep 2026
Cesena vs Mantova
1-1
3 Sep 2026
Palermo vs Mantova
5-2
30 Aug 2026
Mantova vs Empoli
3-1
22 Aug 2026
Carrarese vs Mantova
1-2
Who will win Modena vs Mantova?
Frequently asked questions
Who will win Modena vs Mantova?
Our model currently leans Home Over 0.5 with about 84% confidence. See free and VIP markets below.
What are the odds for Modena vs Mantova?
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 1 Nov 2026 20:31 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient