Le Mans
2 – 1
Full time
Quevilly-Rouen
Le Mans vs Quevilly-Rouen betting tips
Le Mans vs Quevilly-Rouen finished 2-1. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Le Mans vs Quevilly-Rouen?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.22
· Prob 74%
VIP
Won
1X2
Pick: Final Time 12
· Odds 1.30
· Prob 71%
VIP
Won
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
Previous meetings and recent results
Head to head
Le Mans recent
14 Feb 2025
Le Mans vs Boulogne
1-0
8 Feb 2025
Dijon vs Le Mans
0-5
31 Jan 2025
Le Mans vs Sochaux
1-1
18 Jan 2025
Le Mans vs Concarneau
3-1
10 Jan 2025
Rouen vs Le Mans
2-2
6 Dec 2024
Nimes vs Le Mans
0-0
22 Nov 2024
Le Mans vs Orleans
0-2
1 Nov 2024
Le Mans vs Nancy
0-4
23 Oct 2024
Paris 13 Atletico vs Le Mans
2-3
18 Oct 2024
Chateauroux vs Le Mans
1-2
Quevilly-Rouen recent
7 Feb 2025
Bourg Peronnas vs Quevilly-Rouen
1-1
1 Feb 2025
Quevilly-Rouen vs Boulogne
0-1
24 Jan 2025
Dijon vs Quevilly-Rouen
3-3
19 Jan 2025
Quevilly-Rouen vs Villefranche-Beaujolais
0-1
10 Jan 2025
Versailles 78 vs Quevilly-Rouen
0-1
14 Dec 2024
Quevilly-Rouen vs Concarneau
2-1
6 Dec 2024
Rouen vs Quevilly-Rouen
2-0
8 Nov 2024
Nimes vs Quevilly-Rouen
0-2
18 Oct 2024
Quevilly-Rouen vs Nancy
0-1
4 Oct 2024
Paris 13 Atletico vs Quevilly-Rouen
0-1
Who will win Le Mans vs Quevilly-Rouen?
Frequently asked questions
Who will win Le Mans vs Quevilly-Rouen?
Our model currently leans Under 3.5 with about 74% confidence. See free and VIP markets below.
What are the odds for Le Mans vs Quevilly-Rouen?
The featured free market shows odds around 1.22 (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 5 Nov 2026 04:46 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient