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Paula Badosa vs Coco Gauff Prediction - US Open 2026

Paula Badosa will take on Coco Gauff in the second round of the US Open Women's Singles 2026 on Friday.

This article features Stats Insider's prediction and tips for the Badosa vs Gauff match, along with the latest betting odds in Australia.

Who Will Win?

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

Our proven predictive analytics model currently gives Gauff an 83% chance of defeating Badosa in the US Open Women's Singles 2026.

Badosa vs Gauff: Odds

The current betting odds in Australia for Friday's US Open 2026 match between Badosa and Gauff are listed below:

  • Head to Head: Badosa $6.00, Gauff $1.12
  • First Set: Badosa $4.33, Gauff $1.22

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

Looking at the latest head-to-head odds, TAB currently has Badosa at $6.00 and Gauff at $1.12.

TAB currently has odds for Badosa to win the first set at $4.33 and odds for Gauff to win the first set at $1.22.

Badosa vs Gauff: Best Bets

  • Head to Head: Badosa at $6.00 with TAB
  • First Set: Gauff at $1.83 with TAB (54% probability)

Today's Paula Badosa vs Coco Gauff best bets are based on market-leading simulations and wagering expertise to help you place smarter bets with your chosen online bookie.

Even though our predictive analytics model indicates that Gauff is more likely to win the match, betting on Badosa to win is our preferred option because of the edge we identified when comparing our data-led probabilities to the odds that are currently being offered.

Using the edges published here at Stats Insider is pivotal to being a profitable bettor over the long run.

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

Badosa vs Gauff: Prediction

Stats Insider provides full coverage of the Paula Badosa vs Coco Gauff match at the US Open 2026 tournament, including data-driven predictions and live in-play probabilitiestips.

Remember, our model updates regularly, so bookmark this article for the latest betting analysis before the Badosa-Gauff match in the US Open Women's Singles 2026.

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

Badosa vs Gauff: US Open 2026 Essential Details

The US Open 2026 match between Paula Badosa and Coco Gauff is scheduled to begin at 9:00am AEST.

  • Match: Paula Badosa vs Coco Gauff
  • Date: Friday 4 September 2026
  • Approx. Time: 9:00am 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 stated.

Conclusion

Our Paula Badosa vs Coco Gauff 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 trustworthy and reliable, giving you the confidence to make informed decisions.

If you choose to use our tennis predictions for betting purposes, it's crucial 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 go-to source for betting on tennis in Australia, with the latest tennis betting news, tips 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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