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Peyton Stearns vs Clara Tauson Prediction - WTA Dubai 2026

Peyton Stearns will sqaure off with Clara Tauson in the round of 32 at the 2026 WTA Dubai tournament on Tuesday.

This article features Stats Insider's free betting tips for the Stearns vs Tauson 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 Tuesday's Stearns-Tauson women's singles match 10,000 times.

Our proven predictive analytics model currently gives Tauson a 66% chance of winning against Stearns at the WTA Dubai tournament.

Stearns vs Tauson: Odds

The current betting odds in Australia for Tuesday's WTA Dubai match between Stearns and Tauson are shown here:

  • Head to Head: Stearns $3.00, Tauson $1.40
  • First Set: Stearns $2.62, Tauson $1.50

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

Looking at the latest head-to-head odds, TAB currently has Stearns at $3.00 and Tauson at $1.40.

TAB currently has odds for Stearns to win the first set at $2.62 and odds for Tauson to win the first set at $1.50.

Stearns vs Tauson: Best Bets

  • Head to Head: Stearns at $3.00 with TAB
  • First Set: Tauson at $1.90 with TAB (52% probability)

Stats Insider's Peyton Stearns vs Clara Tauson betting tips are based on complex modelling and betting experience to give you the best possible advice around the clock.

Although our predictive analytics model suggests that Tauson is more likely to win the match, taking Stearns 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.

Taking advantage of the edges seen here at Stats Insider is one of the keys to being profitable over the long run.

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

Stearns vs Tauson: Prediction

Stats Insider provides full coverage of the Peyton Stearns vs Clara Tauson match at the WTA Dubai tournament, including data-driven predictions and expert tips.

Remember, our model updates regularly, so refresh this page for the latest betting tips before the Stearns-Tauson match at the WTA Dubai tournament.

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

Stearns vs Tauson: WTA Dubai Essential Details

The 2026 WTA Dubai match between Peyton Stearns and Clara Tauson is scheduled to commence at 6:00pm AEDT.

  • Match: Peyton Stearns vs Clara Tauson
  • Date: Tuesday 17 February 2026
  • Approx. Time: 6:00pm AEDT
  • Event: WTA Dubai, UAE Women's Singles 2026
  • Round: Round of 32

All dates and times mentioned in this article are in Australian Eastern Daylight Time (AEDT), unless otherwise stated.

Conclusion

Our Peyton Stearns vs Clara Tauson 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 cutting-edge technology and machine learning to ensure our tennis tips are trustworthy and reliable, so that you can make informed decisions with confidence.

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

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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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