Monterrey W vs Toluca W
Liga MX Femenil
Monterrey W vs Toluca W Predictions
Home Win
Monterrey W 3 - 0 Toluca W
Visitor Picks (1x2) for Monterrey W vs Toluca W
Who will win?
1
Monterrey W
x
Draw
2
Toluca W
Tuesday brings us Monterrey W vs Toluca W in the Liga MX Femenil. Let's dig into the data and see where the value might be.
How Are They Looking?
Monterrey W are flying right now — 4 wins from their last 5 is proper form. A hat-trick of wins gives them plenty of confidence.
Solid stuff from Toluca W — 3 wins, 2 draws, 0 defeats in their last 5. Two wins in a row heading into this fixture.
The Algorithm's Verdict
This one looks fairly one-sided on paper. Monterrey W come in at 60.00% win probability, leaving Toluca W at 20.00% and the draw 20.00%. Our model reckons this ends 3-0.
The Goals Markets
Both Teams to Score sits at 53.30%. Not the strongest lean either way.
Over 2.5 Goals at 60.00% — nothing to get too excited about. Over 1.5 is 85.00%, Over 3.5 is 40.00%.
Where's The Value?
The standout pick here is Monterrey W to win (1.75). Our algorithm rates this at 60.00% confidence.
Market Prices
Market prices: Monterrey W win 1.75, Toluca W win 3.75, Draw 3.60. For goals, BTTS Yes 1.67 / No 2.10, Over 2.5 at 1.91.
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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