Troyes
2 – 2
Full time
Red Star Paris
Troyes vs Red Star Paris betting tips
Troyes vs Red Star Paris finished 2-2. Limited historical data available. Strong lean toward Away Under 1.5 based on this side's recent goal averages.
What are the tips for Troyes vs Red Star Paris?
Away Over/Under 1.5
Pick: Away Under 1.5
· Prob 78%
VIP
Lost
Both Teams To Score
Pick: BTTS No
· Odds 1.75
· Prob 57%
VIP
Lost
1X2
Pick: Final Time 1
· Odds 1.81
· Prob 45%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong lean toward Away Under 1.5 based on this side's recent goal averages.
Previous meetings and recent results
Head to head
Troyes recent
28 Mar 2025
Metz vs Troyes
2-1
14 Mar 2025
Troyes vs Guingamp
0-1
7 Mar 2025
Pau vs Troyes
0-2
28 Feb 2025
Troyes vs Bastia
2-0
21 Feb 2025
Paris FC vs Troyes
1-0
14 Feb 2025
Troyes vs Lorient
0-1
7 Feb 2025
Martigues vs Troyes
1-2
1 Feb 2025
Troyes vs Caen
3-0
24 Jan 2025
Lavallois vs Troyes
1-0
20 Jan 2025
Troyes vs Annecy
0-1
Red Star Paris recent
28 Mar 2025
Red Star Paris vs Rodez AF
1-1
14 Mar 2025
Ajaccio vs Red Star Paris
2-1
7 Mar 2025
Red Star Paris vs Amiens
2-0
1 Mar 2025
Red Star Paris vs Guingamp
3-1
21 Feb 2025
Bastia vs Red Star Paris
1-0
7 Feb 2025
Grenoble Foot 38 vs Red Star Paris
0-0
1 Feb 2025
Red Star Paris vs Lorient
1-2
25 Jan 2025
Paris FC vs Red Star Paris
4-1
17 Jan 2025
Red Star Paris vs Pau
1-3
10 Jan 2025
Lavallois vs Red Star Paris
1-1
Who will win Troyes vs Red Star Paris?
Frequently asked questions
Who will win Troyes vs Red Star Paris?
Our model currently leans Away Under 1.5 with about 78% confidence. See free and VIP markets below.
What are the odds for Troyes vs Red Star Paris?
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 06:17 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient