Red Star Paris
2 – 2
Full time
Boulogne
Red Star Paris vs Boulogne betting tips
Red Star Paris vs Boulogne finished 2-2. Limited historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.
What are the tips for Red Star Paris vs Boulogne?
Over/Under 3.5
Pick: Under 3.5
· Odds 1.18
· Prob 73%
VIP
Lost
1X2
Pick: Final Time 1X
· Odds 1.18
· Prob 72%
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
Red Star Paris recent
17 Jan 2026
Grenoble Foot 38 vs Red Star Paris
0-3
3 Jan 2026
Troyes vs Red Star Paris
1-0
13 Dec 2025
Red Star Paris vs Reims
0-0
5 Dec 2025
Bastia vs Red Star Paris
0-0
22 Nov 2025
Red Star Paris vs Clermont Foot
2-2
8 Nov 2025
Le Mans vs Red Star Paris
0-0
1 Nov 2025
Red Star Paris vs Saint Etienne
2-1
28 Oct 2025
Dunkerque vs Red Star Paris
3-0
24 Oct 2025
Red Star Paris vs Grenoble Foot 38
1-0
18 Oct 2025
Lavallois vs Red Star Paris
0-1
Boulogne recent
3 Jan 2026
Guingamp vs Boulogne
3-0
15 Dec 2025
Boulogne vs Troyes
1-2
5 Dec 2025
Clermont Foot vs Boulogne
1-1
21 Nov 2025
Boulogne vs Grenoble Foot 38
3-1
7 Nov 2025
Dunkerque vs Boulogne
1-1
31 Oct 2025
Annecy vs Boulogne
1-1
24 Oct 2025
Le Mans vs Boulogne
1-0
17 Oct 2025
Boulogne vs Guingamp
2-2
3 Oct 2025
Amiens vs Boulogne
0-1
19 Sep 2025
Boulogne vs Pau
0-3
Who will win Red Star Paris vs Boulogne?
Frequently asked questions
Who will win Red Star Paris vs Boulogne?
Our model currently leans Under 3.5 with about 73% confidence. See free and VIP markets below.
What are the odds for Red Star Paris vs Boulogne?
The featured free market shows odds around 1.18 (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 30 Oct 2026 08:31 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient