Primera División Femenina


Home Win
Levante W 3 - 2 Atletico Madrid W
Who will win?
1

Levante W
x
Draw
2

Atletico Madrid W
Levante W welcome Atletico Madrid W in Primera División Femenina action on Sunday, 8 February 2026. Time to see what the numbers say.
It's been rough for Levante W: 4 defeats in their last 5. Confidence must be shot.
It's been rough for Atletico Madrid W: 4 defeats in their last 5. Confidence must be shot. Three straight losses — they'll be desperate to stop the rot.
Leaning towards Levante W here with 46.70% win probability. Atletico Madrid W are at 33.30% though, so don't rule them out. Draw: 20.00%. The predicted scoreline? 3-2.
Expect goals at both ends — BTTS comes in at 73.30% on our model.
Over 2.5 Goals at 85.00% looks solid. Over 1.5 is at 90.00% if you want something safer, while Over 3.5 is 50.00% for the brave.
If we're putting our neck on the line, it's Over 1.5 Goals at 3.00. The model gives this a 90.00% probability.
Market prices: Levante W win 8.00, Atletico Madrid W win 1.30, Draw 4.50. For goals, BTTS Yes 1.83 / No 1.83, Over 2.5 at 1.05.
This analysis was automatically generated by the Football Park prediction system. The model uses historical performance and statistical analysis — but remember, this is football, and upsets happen. Please bet responsibly.

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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