Tijuana W vs Cruz Azul W: Lineups, Predictions & Betting Tips
Liga MX Femenil
Tijuana W vs Cruz Azul W Predictions
Over 1.5
Tijuana W 3 - 2 Cruz Azul W
Visitor Picks (1x2) for Tijuana W vs Cruz Azul W
Who will win?
1
Tijuana W
x
Draw
2
Cruz Azul W
We've got Tijuana W facing Cruz Azul W in the Liga MX Femenil coming up, and our model has some thoughts on how this might play out.
How Are They Looking?
Tijuana W have been struggling — 3 losses in 5 games isn't great.
Cruz Azul W's form has dipped, picking up 3 defeats from their last 5.
The Algorithm's Verdict
This is a coin flip, basically. Tijuana W 40.00%, Cruz Azul W 33.30%, draw 26.70%. Take your pick. The predicted scoreline? 3-2.
The Goals Markets
BTTS looks good here at 66.70% confidence. Both sides should get on the scoresheet.
Goals expected here. Over 2.5 at 70.00% confidence. The Over 1.5 (90.00%) looks nailed on, and even Over 3.5 (35.00%) isn't crazy.
Where's The Value?
The standout pick here is Over 1.5 Goals (1.95). Our algorithm rates this at 90.00% confidence.
The Odds
Bookies have it: Tijuana W 3.90, Draw 3.70, Cruz Azul W 1.70. BTTS Yes is 1.62, No is 2.20. Over 2.5 Goals at 1.18.
Match preview generated automatically using our football prediction algorithm. Data-driven doesn't mean guaranteed — always gamble responsibly.
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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