Latina vs Cavese

Serie C - Girone C

Latina
Latina
vs
Cavese
Cavese
2 - 0Our Prediction

Latina vs Cavese Predictions

Home Win

Latina 2 - 0 Cavese

2.00
Best Odds When Tipped
Bet on this Tip

Visitor Picks (1x2) for Latina vs Cavese

Who will win?

1

1

Latina

x

Draw

2

2

Cavese

Here's one for Friday: Latina hosting Cavese in the Serie C - Girone C. Our algorithm has had a good look at this one.

The Form Guide

Latina are ticking along nicely with 3 wins from 5 recently. Three wins on the bounce heading into this one.

Cavese's form has dipped, picking up 3 defeats from their last 5.

The Algorithm's Verdict

Latina are clear favourites according to our numbers: 73.30% to take all three points. Cavese? Only 6.70%. Draw sits at 20.00%. Scoreline prediction: 2-0.

Goals Verdict

50.00% for BTTS. It's a maybe from the algorithm.

This could be a tight, low-scoring affair. Over 2.5 Goals at just 30.00%. Over 1.5 sits at 65.00%.

Where's The Value?

Gun to our head? Latina to win at odds of 2.00. That's a 73.30% shout according to the numbers.

What The Bookies Say

Here's how the bookies see it — Latina 2.00, Draw 3.00, Cavese 3.60. BTTS priced at 2.25 Yes / 1.57 No. Over 2.5 Goals is 1.67.


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.