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Xinyu Wang vs Catherine McNally Prediction - WTA Auckland 2026

Xinyu Wang will sqaure off with Catherine McNally in the round of 32 at the 2026 WTA Auckland tournament on Monday.

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

Who Will Win?

Utilising trusted machine learning and data, Stats Insider has simulated the outcome of Monday's Wang-McNally women's singles match 10,000 times.

Our independent predictive analytics model currently gives McNally a 52% chance of beating Wang at the WTA Auckland tournament.

Wang vs McNally: Odds

The latest betting odds in Australia for Monday's WTA Auckland match between Wang and McNally are shown here:

  • Head to Head: Wang $2.00, McNally $1.80
  • First Set: Wang $2.00, McNally $1.80

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

Looking at the latest head-to-head odds, TAB currently has Wang at $2.00 and McNally at $1.80.

TAB currently has odds for Wang to win the first set at $2.00 and odds for McNally to win the first set at $1.80.

Wang vs McNally: Best Bets

  • Head to Head: Wang at $2.00 with TAB
  • First Set: McNally at $1.80 with TAB (55% probability)

Our Xinyu Wang vs Catherine McNally predictions are based on market-leading simulations and betting expertise to help you place better bets with your chosen online bookie.

Even though our predictive analytics model suggests that McNally is more likely to win the match, betting on Wang to win is our preferred option due to 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 achieving long-term profitability.

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

Wang vs McNally: Prediction

Stats Insider provides full betting coverage of the Xinyu Wang vs Catherine McNally match at the WTA Auckland tournament, including data-driven predictions and expert tips.

Our model updates regularly, so bookmark this page for the latest betting predictions before the Wang-McNally match at the WTA Auckland tournament.

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

Wang vs McNally: WTA Auckland Essential Details

The 2026 WTA Auckland match between Xinyu Wang and Catherine McNally is scheduled to commence at 11:10am AEDT.

  • Match: Xinyu Wang vs Catherine McNally
  • Date: Monday 5 January 2026
  • Approx. Time: 11:10am 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 Xinyu Wang vs Catherine McNally predictions are based on 10,000 data-driven simulations of the game, all curated by our team of expert data scientists and analysts. We use cutting-edge 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 predictions for betting purposes, it's crucial to gamble responsibly and keep track of your money. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

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Stats Insider is your home for betting on tennis in Australia, with the latest tennis betting news, predictions 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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