MC Alger vs JS Kabylie: Lineups, Predictions & Betting Tips
Algeria Ligue 1
MC Alger vs JS Kabylie Predictions
Home Win
MC Alger 2 - 0 JS Kabylie
Visitor Picks (1x2) for MC Alger vs JS Kabylie
Who will win?
1
MC Alger
x
Draw
2
JS Kabylie
We've got MC Alger facing JS Kabylie in the Ligue 1 coming up, and our model has some thoughts on how this might play out.
How Are They Looking?
MC Alger have been putting in a shift lately, banking 4 wins from 5 outings. Three wins on the bounce heading into this one.
A bit wobbly from JS Kabylie recently: 1W 1D 3L in their last 5.
Breaking Down The Odds
The model is pretty confident here — MC Alger at 60.00% to win. JS Kabylie are given just 20.00%, with the draw at 20.00%. Our model reckons this ends 2-0.
How Many Goals?
BTTS is only at 36.70%, so don't be shocked if one team blanks.
Under might be the play here. Over 2.5 confidence is only 30.00%. Over 1.5 at 50.00% is more likely.
Our Pick
The standout pick here is MC Alger to win (1.57). Our algorithm rates this at 60.00% confidence.
Current Odds
Market prices: MC Alger win 1.57, JS Kabylie win 6.00, Draw 3.20. For goals, BTTS Yes 2.62 / No 1.44, Over 2.5 at 2.15.
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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