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Iga Swiatek vs Xiyu Wang Prediction - US Open 2026

Iga Swiatek will sqaure off with Xiyu Wang in the first round of the US Open Women's Singles 2026 on Monday.

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

Who Will Win?

Using advanced computer power and data, Stats Insider has simulated the result of Monday's Swiatek-Wang women's singles match 10,000 times.

Our proven predictive analytics model currently gives Swiatek a 92% chance of beating Wang in the US Open Women's Singles 2026.

Swiatek vs Wang: Odds

The latest betting odds in Australia for Monday's US Open 2026 match between Swiatek and Wang are shown below:

  • Head to Head: Swiatek $1.05, Wang $11.00
  • First Set: Swiatek $1.16, Wang $5.00

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

Looking at the latest head-to-head odds, TAB currently has Swiatek at $1.05 and Wang at $11.00.

TAB currently has odds for Swiatek to win the first set at $1.16 and odds for Wang to win the first set at $5.00.

Swiatek vs Wang: Best Bets

  • Head to Head: Wang at $11.00 with TAB
  • First Set: Wang at $2.00 with TAB (60% probability) 🔥

If you see a 🔥, that means you've found one of Stats Insider's best bets of the day across any sport.

Our Iga Swiatek vs Xiyu Wang best bets are based on world-class simulations and gambling expertise to help you place smarter bets with your chosen online bookie.

Even though our predictive analytics model indicates that Swiatek is more likely to win the match, betting on Wang to win is our preferred option because of the edge we identified 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 being profitable over the long run.

And while Swiatek is more likely to win the first set on this occassion, our recommended bet of Wang ($2.00) is based on the likelihood of that happening, per our model, and the betting odds currently available.

Swiatek vs Wang: Prediction

Stats Insider provides full betting coverage of the Iga Swiatek vs Xiyu Wang match at the US Open 2026 tournament, including data-driven predictions and expert tips.

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

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

Swiatek vs Wang: US Open 2026 Essential Details

The US Open 2026 match between Iga Swiatek and Xiyu Wang is scheduled to commence at 1:00am AEST.

  • Match: Iga Swiatek vs Xiyu Wang
  • Date: Monday 31 August 2026
  • Approx. Time: 1:00am AEST
  • Event: US Open Women's Singles 2026
  • Round: First round

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

Conclusion

Our Iga Swiatek vs Xiyu Wang predictions are the result of 10,000 data-driven simulations of the game, carefully curated by our team of expert data scientists and analysts. We use cutting-edge technology and machine learning to ensure our tennis tips are accurate and reliable, so that you can make informed decisions with confidence.

If you choose to use our predictions for betting purposes, it's vital to 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, 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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