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Jasmine Paolini vs Yue Yuan Prediction - French Open 2025

Jasmine Paolini will sqaure off with Yue Yuan in the first round of the French Open Women's Singles 2025 on Monday.

This article features Stats Insider's best betting tips for the Paolini vs Yuan match, as well as the latest betting odds in Australia.

Who Will Win?

Utilising advanced machine learning and data, Stats Insider has simulated the outcome of Monday's Paolini-Yuan women's singles match 10,000 times.

Our proven predictive analytics model currently gives Paolini a 92% chance of defeating Yuan in the French Open Women's Singles 2025.

Paolini vs Yuan: Odds

The latest betting odds in Australia for Monday's French Open 2025 match between Paolini and Yuan are shown here:

  • Head to Head: Paolini $1.04, Yuan $13.00
  • First Set: Paolini $1.10, Yuan $7.00

Odds are correct at the time of publication and subject to change.

Looking at the latest head-to-head odds, TAB currently has Paolini at $1.04 and Yuan at $13.00.

TAB currently has odds for Paolini to win the first set at $1.10 and odds for Yuan to win the first set at $7.00.

Paolini vs Yuan: Best Bets

  • Head to Head: Yuan at $13.00 with TAB
  • First Set: Yuan at $2.20 with TAB (0.9% edge)

Stats Insider's Jasmine Paolini vs Yue Yuan betting tips are based on world-class modelling and wagering intelligence to help you place more informed bets with your chosen online bookie.

Although our predictive analytics model indicates that Paolini is more likely to win the match, betting on Yuan to win is our preferred option because of the edge we discovered when comparing our data-led probabilities to the odds that are currently available.

Using the edges published here at Stats Insider is one of the keys to achieving long-term profitability.

And while Paolini is more likely to win the first set on this occassion, our suggested bet of Yuan ($2.20) is based on the chance of that happening, per our model, and the betting odds currently available.

Paolini vs Yuan: Prediction

Stats Insider provides full betting coverage of the Jasmine Paolini vs Yue Yuan match at the French Open 2025 tournament, including data-driven predictions and the best betting tips.

Our model updates regularly, so keep checking this page for the latest betting predictions before the Paolini-Yuan match in the French Open Women's Singles 2025.

As always, see Stats Insider's Best Bets to get the best tips for every tennis match, plus predictions for a wide range of other sports.

Paolini vs Yuan: French Open 2025 Essential Details

The French Open 2025 match between Jasmine Paolini and Yue Yuan is scheduled to begin at 3:05am AEST.

  • Match: Jasmine Paolini vs Yue Yuan
  • Date: Monday 26 May 2025
  • Approx. Time: 3:05am AEST
  • Event: French Open Women's Singles 2025
  • Round: First round

All dates and times mentioned in this article are in Australian Eastern Standard Time (AEST), unless otherwise stated.

Conclusion

Our Jasmine Paolini vs Yue Yuan predictions have been made after running 10,000 data-driven simulations of the game, carefully curated by our team of expert data scientists and analysts. We use the latest in predictive analytics technology and machine learning to ensure our tennis tips are trustworthy and reliable, so that you can make informed decisions with confidence.

If you decide to use our tennis predictions for betting purposes, it's vital to gamble responsibly and know when to stop. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

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Stats Insider is your home for betting on tennis in Australia, with the latest tennis betting news, predictions for every tennis tournament, and our in-house approach to accurately ranking the world's top 100 men's and women's players.

Stats Insider

Stats Insider, Australia's leading predictive analytics website, offers Australian sports fans innovative tools and content to enhance their enjoyment of major sporting events both domestically and internationally. Our goal is to transform the sports fan experience by providing readily accessible, data-driven content for sports enthusiasts like us.

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