Roma W vs Napoli W: Lineups, Predictions & Betting Tips
Serie A Women
Roma W vs Napoli W Predictions
Over 2.5
Roma W 3 - 1 Napoli W
Visitor Picks (1x2) for Roma W vs Napoli W
Who will win?
1
Roma W
x
Draw
2
Napoli W
Roma W welcome Napoli W in Serie A Women action on Sunday, 15 February 2026. Time to see what the numbers say.
How Are They Looking?
You can't argue with Roma W's recent run: 4 wins in 5 games. A hat-trick of wins gives them plenty of confidence.
Napoli W are ticking along nicely with 3 wins from 5 recently.
Breaking Down The Odds
Roma W are clear favourites according to our numbers: 66.70% to take all three points. Napoli W? Only 20.00%. Draw sits at 13.30%. Scoreline prediction: 3-1.
The Goals Markets
70.00% for Both Teams to Score. Yeah, we fancy both nets to bulge in this one.
Goals expected here. Over 2.5 at 75.00% confidence. The Over 1.5 (90.00%) looks nailed on, and even Over 3.5 (40.00%) isn't crazy.
The Bet We Like
If we're putting our neck on the line, it's Over 2.5 Goals at 2.60. The model gives this a 75.00% probability.
The Odds
Market prices: Roma W win 1.42, Napoli W win 6.25, Draw 4.00. For goals, BTTS Yes 1.80 / No 1.91, Over 2.5 at 2.60.
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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