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Jasmine Paolini vs Sorana Cirstea Prediction - US Open 2026

Jasmine Paolini will face Sorana Cirstea in the third round of the US Open Women's Singles 2026 on Saturday.

This article features Stats Insider's prediction and tips for the Paolini vs Cirstea match, plus the latest betting odds in Australia.

Who Will Win?

Based on trusted computer power and data, Stats Insider has simulated the result of Saturday's Paolini-Cirstea women's singles match 10,000 times.

Our independent predictive analytics model gives Cirstea a 58% chance of defeating Paolini in the US Open Women's Singles 2026.

Paolini vs Cirstea: Odds

The current betting odds in Australia for Saturday's US Open 2026 match between Paolini and Cirstea are shown here:

  • Head to Head: Paolini $2.37, Cirstea $1.57
  • First Set: Paolini $2.30, Cirstea $1.61

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 $2.37 and Cirstea at $1.57.

TAB currently has odds for Paolini to win the first set at $2.30 and odds for Cirstea to win the first set at $1.61.

Paolini vs Cirstea: Best Bets

  • Head to Head: Paolini at $2.37 with TAB
  • First Set: Cirstea at $1.83 with TAB (56% probability)

Our Jasmine Paolini vs Sorana Cirstea betting tips are based on detailed simulations and gambling intelligence to give you the best possible advice around the clock.

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

Using the edges seen here at Stats Insider is crucial to achieving long-term profitability.

And while Cirstea is more likely to win the first set on this occassion, our recommended bet of Cirstea ($1.83) is based on the chance of that happening, per our model, and the betting odds currently available.

Paolini vs Cirstea: Prediction

Stats Insider provides full betting coverage of the Jasmine Paolini vs Sorana Cirstea match at the US Open 2026 tournament, including data-driven predictions and top betting tips.

Our model updates frequently, so keep checking this page for the latest betting analysis before the Paolini-Cirstea match in the US Open Women's Singles 2026.

As always, see our Best Bets for betting tips on every tennis match, plus predictions for a wide range of other sports.

Paolini vs Cirstea: US Open 2026 Essential Details

The US Open 2026 match between Jasmine Paolini and Sorana Cirstea is scheduled to commence at 1:00am AEST.

  • Match: Jasmine Paolini vs Sorana Cirstea
  • Date: Saturday 5 September 2026
  • Approx. Time: 1:00am AEST
  • Event: US Open Women's Singles 2026
  • Round: Third round

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

Conclusion

Our Jasmine Paolini vs Sorana Cirstea predictions have been made thanks to 10,000 data-driven simulations of the game, carefully curated by our team of skilled data scientists and analysts. We use cutting-edge technology and machine learning to ensure our tennis tips are trustworthy and reliable, giving you the confidence to make informed decisions.

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

More on Tennis

Stats Insider is your home for betting on tennis in Australia, with the latest tennis betting news, tips for every tennis match, 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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