Genoa W vs Lazio W
Serie A Women
Genoa W vs Lazio W Predictions
Home Win
Genoa W 1 - 2 Lazio W
Visitor Picks (1x2) for Genoa W vs Lazio W
Who will win?
1
Genoa W
x
Draw
2
Lazio W
Saturday brings us Genoa W vs Lazio W in the Serie A Women. Let's dig into the data and see where the value might be.
How Are They Looking?
Genoa W can't buy a win right now. 4 losses from 5 is grim reading. Three straight losses — they'll be desperate to stop the rot.
A bit wobbly from Lazio W recently: 1W 1D 3L in their last 5. Back-to-back defeats have raised a few eyebrows.
Breaking Down The Odds
Our model gives Lazio W the slight nod (50.00%), though Genoa W at 40.00% means this is no foregone conclusion. Draw probability: 10.00%. Our model reckons this ends 1-2.
The Goals Markets
BTTS is at 52.00% — could go either way on that one.
This could be a tight, low-scoring affair. Over 2.5 Goals at just 40.00%. Over 1.5 sits at 40.00%.
The Bet We Like
If we're putting our neck on the line, it's Both Teams to Score at 1.83. The model gives this a 52.00% probability.
Market Prices
Bookies have it: Genoa W 5.00, Draw 3.60, Lazio W 1.57. BTTS Yes is 1.83, No is 1.83. Over 2.5 Goals at 1.11.
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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