Puebla W vs Atlas W

Liga MX Femenil

Puebla W
Puebla W
vs
Atlas W
Atlas W
1 - 2Our Prediction

Puebla W vs Atlas W Predictions

Home Win

Puebla W 1 - 2 Atlas W

4.75
Best Odds When Tipped
Bet on this Tip

Visitor Picks (1x2) for Puebla W vs Atlas W

Who will win?

1

1

Puebla W

x

Draw

2

2

Atlas W

Puebla W welcome Atlas W in Liga MX Femenil action on Tuesday, 10 February 2026. Time to see what the numbers say.

How Are They Looking?

Puebla W can't buy a win right now. 4 losses from 5 is grim reading.

A bit wobbly from Atlas W recently: 1W 1D 3L in their last 5.

The Algorithm's Verdict

Atlas W are clear favourites according to our numbers: 60.00% to take all three points. Puebla W? Only 26.70%. Draw sits at 13.30%. Our model reckons this ends 1-2.

The Goals Markets

60.00% for BTTS. It's a maybe from the algorithm.

Goals markets: Over 1.5 at 80.00%, Over 2.5 at 60.00%, Over 3.5 at 30.00%. Pretty middle-of-the-road stuff.

Where's The Value?

The standout pick here is Over 1.5 Goals (2.25). Our algorithm rates this at 80.00% confidence.

Market Prices

Here's how the bookies see it — Puebla W 4.75, Draw 3.75, Atlas W 1.53. BTTS priced at 1.73 Yes / 2.00 No. Over 2.5 Goals is 1.12.


Match preview generated automatically using our football prediction algorithm. Data-driven doesn't mean guaranteed — always gamble responsibly.


David Shaw
Journalist
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.