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Panna Udvardy vs Sara Bejlek Prediction - WTA Auckland 2026

Panna Udvardy will take on Sara Bejlek in the round of 32 at the 2026 WTA Auckland tournament on Monday.

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

Who Will Win?

Based on advanced machine learning and data, Stats Insider has simulated the result of Monday's Udvardy-Bejlek women's singles match 10,000 times.

Our independent predictive analytics model gives Bejlek a 62% chance of winning against Udvardy at the WTA Auckland tournament.

Udvardy vs Bejlek: Odds

The current betting odds in Australia for Monday's WTA Auckland match between Udvardy and Bejlek are listed below:

  • Head to Head: Udvardy $2.75, Bejlek $1.44
  • First Set: Udvardy $2.62, Bejlek $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 Udvardy at $2.75 and Bejlek at $1.44.

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

Udvardy vs Bejlek: Betting Tips

  • Head to Head: Udvardy at $2.75 with TAB
  • First Set: Bejlek at $1.80 with TAB (52% probability)

Our Panna Udvardy vs Sara Bejlek best bets are based on market-leading modelling and wagering expertise to bring you the best possible advice every time.

Although our predictive analytics model suggests that Bejlek is more likely to win the match, betting on Udvardy to win is our preferred option because of the 1.4% edge we found when comparing our data-led probabilities to the odds that are currently available.

Taking advantage of the edges seen on Stats Insider is one of the keys to achieving long-term profitability as a bettor.

And while Bejlek is more likely to win the first set on this occassion, our suggested bet of Bejlek ($1.80) is based on the likelihood of that happening, per our model, and the betting odds currently available.

Udvardy vs Bejlek: Prediction

Stats Insider provides full betting coverage of the Panna Udvardy vs Sara Bejlek match at the WTA Auckland tournament, including data-driven predictions and expert tips.

Remember, our model updates frequently, so keep checking this article for the latest betting tips before the Udvardy-Bejlek match at the WTA Auckland tournament.

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

Udvardy vs Bejlek: WTA Auckland Essential Details

The 2026 WTA Auckland match between Panna Udvardy and Sara Bejlek is scheduled to start at 9:30am AEDT.

  • Match: Panna Udvardy vs Sara Bejlek
  • Date: Monday 5 January 2026
  • Approx. Time: 9:30am AEDT
  • Event: WTA Auckland, New Zealand 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 Panna Udvardy vs Sara Bejlek 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 accurate and reliable, giving you the confidence to make informed decisions.

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