Kerkennah vs Sfax Railways: Lineups, Predictions & Betting Tips
Tunisia Ligue 2
Kerkennah vs Sfax Railways Predictions
Away Win
Kerkennah 1 - 2 Sfax Railways
Visitor Picks (1x2) for Kerkennah vs Sfax Railways
Who will win?
1
Kerkennah
x
Draw
2
Sfax Railways
Kerkennah take on Sfax Railways in the Ligue 2 on Sunday, and we've crunched the numbers to see what's likely to happen.
Form Check
It's been up and down for Kerkennah: 2 wins, 2 draws, 1 losses recently.
Sfax Railways's recent form reads DDWWL — nothing too dramatic either way.
Who Wins This?
Leaning towards Sfax Railways here with 53.30% win probability. Kerkennah are at 20.00% though, so don't rule them out. Draw: 26.70%. Scoreline prediction: 1-2.
How Many Goals?
70.00% for Both Teams to Score. Yeah, we fancy both nets to bulge in this one.
Goals markets: Over 1.5 at 75.00%, Over 2.5 at 50.00%, Over 3.5 at 10.00%. Pretty middle-of-the-road stuff.
Top Selection
Gun to our head? Sfax Railways to win at odds of 3.10. That's a 53.30% shout according to the numbers.
What The Bookies Say
Market prices: Kerkennah win 2.20, Sfax Railways win 3.10, Draw 3.00. For goals, BTTS Yes 0.00 / No 1.91, Over 2.5 at 1.55.
This content was created by our AI prediction system. It's based on real data and proper stats, but football doesn't always follow the script. Bet within your means.
David Shaw
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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