Tunisia Ligue 2


Home Win
Sfax Railways 3 - 0 Menzel Bourguiba
Who will win?
1

Sfax Railways
x
Draw
2

Menzel Bourguiba
Sfax Railways take on Menzel Bourguiba in the Ligue 2 on Monday, and we've crunched the numbers to see what's likely to happen.
Sfax Railways have been putting in a shift lately, banking 4 wins from 5 outings. They've won their last three, so momentum is with them.
Menzel Bourguiba love a draw apparently — 3 stalemates from 5 games. Two losses on the spin is a concern.
The model is pretty confident here — Sfax Railways at 60.00% to win. Menzel Bourguiba are given just 10.00%, with the draw at 30.00%. Scoreline prediction: 3-0.
52.00% for BTTS. It's a maybe from the algorithm.
Over 2.5 Goals at 60.00% — nothing to get too excited about. Over 1.5 is 93.30%, Over 3.5 is 26.70%.
Sfax Railways to win looks like the play here — 1.44 available with a 60.00% confidence rating from our model.
Here's how the bookies see it — Sfax Railways 1.44, Draw 3.60, Menzel Bourguiba 7.00. BTTS priced at 0.00 Yes / 1.62 No. Over 2.5 Goals is 2.40.
AI-generated match preview based on our prediction model. The algorithm analyses thousands of data points, but it's still just probabilities. Gamble responsibly and only bet what you can afford to lose.

Professional Sports Betting Analytics Expert & Algorithm Developer.
David Shaw is a pioneering figure in the sports betting analytics industry with over 12 years of specialized experience. He launched his first online sports data platform in 2014, quickly becoming the #1 ranked football tipster on Tipster Portal. Following the successful acquisition of his original platform, David founded FootyGuru365.com, which was also subsequently acquired as well as SoccerTips.ai.
David's crowning achievement is the development of the Betminer Algorithm - recognized as the world's most accurate football predictions algorithm. This sophisticated API now powers hundreds of major websites globally, providing cutting-edge predictions data to millions of users. He holds a degree in Computing from the University of the West of England, combining academic knowledge with real-world betting expertise.
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