Roma W vs AC Milan W

Serie A Women

Roma W
Roma W
vs
AC Milan W
AC Milan W
2 - 1Our Prediction

Roma W vs AC Milan W Predictions

Home Win

Roma W 2 - 1 AC Milan W

1.50
Best Odds When Tipped
Bet on this Tip

Visitor Picks (1x2) for Roma W vs AC Milan W

Who will win?

1

1

Roma W

x

Draw

2

2

AC Milan W

Serie A Women action on Sunday as Roma W go head-to-head with AC Milan W. Here's our data-driven breakdown.

Form Check

Roma W are flying right now — 4 wins from their last 5 is proper form. They've won their last three, so momentum is with them.

It's been up and down for AC Milan W: 2 wins, 1 draws, 2 losses recently.

What Does The Model Say?

This one looks fairly one-sided on paper. Roma W come in at 66.70% win probability, leaving AC Milan W at 13.30% and the draw 20.00%. Scoreline prediction: 2-1.

Goals, Goals, Goals?

Both Teams to Score sits at 56.70%. Not the strongest lean either way.

Goals markets: Over 1.5 at 75.00%, Over 2.5 at 55.00%, Over 3.5 at 25.00%. Pretty middle-of-the-road stuff.

Best Bet

Gun to our head? Roma W to win at odds of 1.50. That's a 66.70% shout according to the numbers.

The Odds

Bookies have it: Roma W 1.50, Draw 3.90, AC Milan W 5.00. BTTS Yes is 1.80, No is 1.91. Over 2.5 Goals at 2.30.


This preview was generated by our prediction algorithm. It crunches historical data, form, and stats to give you the numbers — but football being football, anything can happen. Bet 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.