Tunisia · Ligue Professionnelle 1 · Sun 10 Aug 2025 15:30 UTC · All tips 10 Aug

US Monastir US Monastir
1 – 1
Full time
Stade Tunisien Tunis Stade Tunisien Tunis

US Monastir vs Stade Tunisien Tunis betting tips

US Monastir vs Stade Tunisien Tunis finished 1-1. Moderate historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.

What are the tips for US Monastir vs Stade Tunisien Tunis?

Over/Under 3.5
Pick: Under 3.5 · Odds 1.12 · Prob 79%
VIP Won
Away Over/Under 1.5
Pick: Away Under 1.5 · Prob 75%
VIP Won
1X2
Pick: Final Time 1X · Odds 1.20 · Prob 73%
VIP Won
Over/Under 2.5
Pick: Under 2.5 · Odds 1.40 · Prob 68%
VIP Won
Home Over/Under 1.5
Pick: Home Under 1.5 · Prob 65%
VIP Won
Both Teams To Score
Pick: BTTS No · Odds 1.56 · Prob 59%
VIP Lost

Match insights: form, goals and model lean

Model lean

Under 3.5 79% Other 21%

Head to head (4)

1US Monastir
3Draws
0Stade Tunisien Tunis

Recent form

US Monastir
D D D W W W W
15 pts / 7
Stade Tunisien Tunis
L D D D W W L D
10 pts / 8

Goals (avg last matches)

1 / 0.1 US Monastir scored / conceded
0.8 / 0.9 Stade Tunisien Tunis scored / conceded

Tip analysis

Moderate historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.

Previous meetings and recent results

Who will win US Monastir vs Stade Tunisien Tunis?

30 community votes

60% US Monastir
13% Draw
27% Stade Tunisien Tunis

Voting closed

Frequently asked questions

Who will win US Monastir vs Stade Tunisien Tunis?

Our model currently leans Under 3.5 with about 79% confidence. See free and VIP markets below.

What are the odds for US Monastir vs Stade Tunisien Tunis?

The featured free market shows odds around 1.12 (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 9 Nov 2026 15:50 UTC · Insights built from Betting Tips historical predictions · Data quality: thin