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Harriet Dart vs Marie Bouzkova Prediction - US Open 2026

Harriet Dart will sqaure off with Marie Bouzkova in the second round of the US Open Women's Singles 2026 on Friday.

This article features Stats Insider's top betting tips for the Dart vs Bouzkova match, as well as the latest betting odds in Australia.

Who Will Win?

Based on advanced computer power and data, Stats Insider has simulated the result of Friday's Dart-Bouzkova women's singles match 10,000 times.

Our leading predictive analytics model currently gives Bouzkova an 81% chance of winning against Dart in the US Open Women's Singles 2026.

Dart vs Bouzkova: Odds

The latest betting odds in Australia for Friday's US Open 2026 match between Dart and Bouzkova are listed below:

  • Head to Head: Dart $5.00, Bouzkova $1.16
  • First Set: Dart $4.00, Bouzkova $1.25

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

Looking at the latest head-to-head odds, TAB currently has Dart at $5.00 and Bouzkova at $1.16.

TAB currently has odds for Dart to win the first set at $4.00 and odds for Bouzkova to win the first set at $1.25.

Dart vs Bouzkova: Betting Tips

  • Head to Head: Dart at $5.00 with TAB
  • First Set: Bouzkova at $1.90 with TAB (50% probability)

Our Harriet Dart vs Marie Bouzkova predictions are based on complex modelling and wagering experience to provide you with the best possible advice every time.

Although our predictive analytics model suggests that Bouzkova is more likely to win the match, betting on Dart to win is the best option due to the edge we found 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 being profitable over the long run.

And while Bouzkova is more likely to win the first set on this occassion, our recommended bet of Bouzkova ($1.90) is based on the likelihood of that happening, per our model, and the betting odds currently available.

Dart vs Bouzkova: Prediction

Stats Insider provides full coverage of the Harriet Dart vs Marie Bouzkova match at the US Open 2026 tournament, including data-driven predictions and top betting tips.

Our model updates regularly, so keep checking this article for the latest betting analysis before the Dart-Bouzkova match in the US Open Women's Singles 2026.

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.

Dart vs Bouzkova: US Open 2026 Essential Details

The US Open 2026 match between Harriet Dart and Marie Bouzkova is scheduled to start at 1:00am AEST.

  • Match: Harriet Dart vs Marie Bouzkova
  • Date: Friday 4 September 2026
  • Approx. Time: 1:00am 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 noted.

Conclusion

Our Harriet Dart vs Marie Bouzkova predictions are the result of 10,000 data-driven simulations of the game, all 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 predictions for betting purposes, it's important that you 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, 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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