Betting 
Lorient
3 – 1
Full time
Amiens
Lorient vs Amiens betting tips
Lorient vs Amiens finished 3-1. Limited historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.
What are the tips for Lorient vs Amiens?
Home to Score
Pick: Home Over 0.5
· Prob 84%
VIP
Won
Away Over/Under 1.5
Pick: Away Under 1.5
· Prob 78%
VIP
Won
Home Over/Under 1.5
Pick: Home Over 1.5
· Prob 62%
VIP
Won
Both Teams To Score
Pick: BTTS No
· Odds 1.73
· Prob 56%
VIP
Lost
1X2
Pick: Final Time 1
· Odds 1.38
· Prob 54%
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
Head to head
Lorient recent
1 Feb 2025
Red Star Paris vs Lorient
1-2
25 Jan 2025
Lorient vs Clermont Foot
3-2
18 Jan 2025
Dunkerque vs Lorient
0-1
4 Jan 2025
Lavallois vs Lorient
2-0
14 Dec 2024
Lorient vs Paris FC
2-0
6 Dec 2024
Lorient vs Troyes
2-0
9 Nov 2024
Lorient vs Guingamp
3-1
29 Oct 2024
Lorient vs Dunkerque
4-2
25 Oct 2024
Rodez AF vs Lorient
3-3
19 Oct 2024
Lorient vs Annecy
4-2
Amiens recent
31 Jan 2025
Amiens vs Annecy
1-0
13 Dec 2024
Amiens vs Lavallois
1-3
7 Dec 2024
Grenoble Foot 38 vs Amiens
0-2
22 Nov 2024
Guingamp vs Amiens
3-0
1 Nov 2024
Dunkerque vs Amiens
3-1
25 Oct 2024
Pau vs Amiens
0-2
19 Oct 2024
Amiens vs Ajaccio
3-1
5 Oct 2024
Metz vs Amiens
3-2
27 Sep 2024
Amiens vs Rodez AF
2-1
24 Sep 2024
Caen vs Amiens
2-1
Who will win Lorient vs Amiens?
Frequently asked questions
Who will win Lorient vs Amiens?
Our model currently leans Home Over 0.5 with about 84% confidence. See free and VIP markets below.
What are the odds for Lorient vs Amiens?
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 10 Oct 2026 08:24 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient