Avranches
0 – 6
Full time
Strasbourg
Avranches vs Strasbourg betting tips
Avranches vs Strasbourg finished 0-6. Limited historical data available. Strong lean toward Away Over 0.5 based on this side's recent goal averages.
What are the tips for Avranches vs Strasbourg?
Away to Score
Pick: Away Over 0.5
· Prob 78%
VIP
Won
Home Over/Under 1.5
Pick: Home Under 1.5
· Prob 69%
VIP
Won
1X2
Pick: Final Time 2
· Odds 1.24
· Prob 51%
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
Avranches recent
19 Dec 2025
Avranches vs Brest
1-1
3 May 2024
Avranches vs Nancy
0-3
26 Apr 2024
Villefranche-Beaujolais vs Avranches
0-1
19 Apr 2024
Avranches vs Chateauroux
1-0
12 Apr 2024
Avranches vs Epinal
0-2
5 Apr 2024
Le Mans vs Avranches
3-4
26 Mar 2024
Avranches vs Villefranche-Beaujolais
1-3
2 Mar 2024
Avranches vs Red Star Paris
0-0
23 Feb 2024
Orleans vs Avranches
3-1
16 Feb 2024
Avranches vs Versailles 78
1-0
Strasbourg recent
3 Jan 2026
Nice vs Strasbourg
1-1
14 Dec 2025
Strasbourg vs Lorient
0-0
6 Dec 2025
Toulouse vs Strasbourg
1-0
30 Nov 2025
Strasbourg vs Brest
1-2
22 Nov 2025
Lens vs Strasbourg
1-0
9 Nov 2025
Strasbourg vs Lille
2-0
2 Nov 2025
Rennais vs Strasbourg
4-1
29 Oct 2025
Strasbourg vs Auxerre
3-0
26 Oct 2025
Lyonnais vs Strasbourg
2-1
17 Oct 2025
Paris Saint Germain vs Strasbourg
3-3
Who will win Avranches vs Strasbourg?
Frequently asked questions
Who will win Avranches vs Strasbourg?
Our model currently leans Away Over 0.5 with about 78% confidence. See free and VIP markets below.
What are the odds for Avranches vs Strasbourg?
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 28 Oct 2026 16:10 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient