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Elina Svitolina vs Maya Joint Prediction - US Open 2026

Elina Svitolina will sqaure off with Maya Joint in the second round of the US Open Women's Singles 2026 on Thursday.

This article features Stats Insider's prediction and tips for the Svitolina vs Joint match, as well as the latest betting odds in Australia.

Who Will Win?

Utilising trusted computer power and data, Stats Insider has simulated the result of Thursday's Svitolina-Joint women's singles match 10,000 times.

Our leading predictive analytics model gives Svitolina an 86% chance of winning against Joint in the US Open Women's Singles 2026.

Svitolina vs Joint: Odds

The latest betting odds in Australia for Thursday's US Open 2026 match between Svitolina and Joint are listed below:

  • Head to Head: Svitolina $1.10, Joint $7.00
  • First Set: Svitolina $1.20, Joint $4.50

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

Looking at the latest head-to-head odds, TAB currently has Svitolina at $1.10 and Joint at $7.00.

TAB currently has odds for Svitolina to win the first set at $1.20 and odds for Joint to win the first set at $4.50.

Svitolina vs Joint: Best Bets

  • Head to Head: Joint at $7.00 with TAB
  • First Set: Joint at $1.83 with TAB (52% probability)

Today's Elina Svitolina vs Maya Joint betting tips are based on world-class simulations and gambling intelligence to provide you with the best possible advice 24/7/365.

Although our predictive analytics model suggests that Svitolina is more likely to win the match, betting on Joint to win is the best option because of the edge we discovered when comparing our data-led probabilities to the odds that are currently being offered.

Using the edges seen here at Stats Insider is pivotal to achieving long-term profitability as a sports bettor.

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

Svitolina vs Joint: Prediction

Stats Insider provides full coverage of the Elina Svitolina vs Maya Joint match at the US Open 2026 tournament, including data-driven predictions and top betting tips.

Remember, our model updates frequently, so keep checking this article for the latest betting predictions before the Svitolina-Joint match in the US Open Women's Singles 2026.

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

Svitolina vs Joint: US Open 2026 Essential Details

The US Open 2026 match between Elina Svitolina and Maya Joint is scheduled to begin at 11:30am AEST.

  • Match: Elina Svitolina vs Maya Joint
  • Date: Thursday 3 September 2026
  • Approx. Time: 11:30am AEST
  • Event: US Open Women's Singles 2026
  • Round: Second round

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

Conclusion

Our Elina Svitolina vs Maya Joint predictions are based on 10,000 data-driven simulations of the game, carefully curated by our team of skilled data scientists and analysts. We use the latest in predictive analytics technology and machine learning to ensure our tennis tips are accurate and reliable, so that you can make informed decisions with confidence.

If you decide to use our tennis predictions for betting purposes, it's crucial that you gamble responsibly and manage your finances effectively. 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, 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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