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Jessica Pegula vs Donna Vekic Prediction - WTA Indian Wells Open 2026

Jessica Pegula will face Donna Vekic in the round of 64 at the 2026 WTA Indian Wells Open tournament on Sunday.

This article features Stats Insider's free betting tips for the Pegula vs Vekic match, along with the latest betting odds in Australia.

Who Will Win?

Using trusted machine learning and data, Stats Insider has simulated the outcome of Sunday's Pegula-Vekic women's singles match 10,000 times.

Our proven predictive analytics model gives Pegula an 86% chance of beating Vekic at the WTA Indian Wells Open tournament.

Pegula vs Vekic: Odds

The current betting odds in Australia for Sunday's WTA Indian Wells Open match between Pegula and Vekic are shown here:

  • Head to Head: Pegula $1.10, Vekic $7.00
  • First Set: Pegula $1.16, Vekic $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 Pegula at $1.10 and Vekic at $7.00.

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

Pegula vs Vekic: Betting Tips

  • Head to Head: Vekic at $7.00 with TAB
  • First Set: Vekic at $1.90 with TAB (50% probability)

Our Jessica Pegula vs Donna Vekic predictions are based on world-class modelling and gambling intelligence to help you place smarter bets with your chosen online bookie.

Even though our predictive analytics model suggests that Pegula is more likely to win the match, taking Vekic to win is our preferred option because of the edge we found when comparing our data-led probabilities to the odds that are currently being offered.

Using the edges seen on Stats Insider is crucial to achieving long-term profitability as a bettor.

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

Pegula vs Vekic: Prediction

Stats Insider provides full coverage of the Jessica Pegula vs Donna Vekic match at the WTA Indian Wells Open tournament, including data-driven predictions and live win probabilitiestips.

Our model updates regularly, so bookmark this page for the latest betting tips before the Pegula-Vekic match at the WTA Indian Wells Open tournament.

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

Pegula vs Vekic: WTA Indian Wells Open Essential Details

The 2026 WTA Indian Wells Open match between Jessica Pegula and Donna Vekic is scheduled to commence at 1:00pm AEDT.

  • Match: Jessica Pegula vs Donna Vekic
  • Date: Sunday 8 March 2026
  • Approx. Time: 1:00pm AEDT
  • Event: WTA Indian Wells, USA Women's Singles 2026
  • Round: Round of 64

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

Conclusion

Our Jessica Pegula vs Donna Vekic predictions have been made after running 10,000 data-driven simulations of the game, all curated by our team of experienced 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 decide to use our tennis predictions for betting purposes, it's vital to gamble responsibly and keep track of your money. 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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