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Kaja Juvan vs Catherine McNally Prediction - WTA Guangzhou 2025

Kaja Juvan will sqaure off with Catherine McNally in the round of 32 at the 2025 WTA Guangzhou tournament on Tuesday.

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

Who Will Win?

Using advanced machine learning and data, Stats Insider has simulated the outcome of Tuesday's Juvan-McNally women's singles match 10,000 times.

Our proven predictive analytics model currently gives McNally a 52% chance of defeating Juvan at the WTA Guangzhou tournament.

Juvan vs McNally: Odds

The latest betting odds in Australia for Tuesday's WTA Guangzhou match between Juvan and McNally are listed below:

  • Head to Head: Juvan $2.00, McNally $1.80
  • First Set: Juvan $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 Juvan at $2.00 and McNally at $1.80.

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

Juvan vs McNally: Best Bets

  • Head to Head: Juvan at $2.00 with TAB
  • First Set: McNally at $1.80 with TAB (52% probability)

Our Kaja Juvan vs Catherine McNally best bets are based on market-leading modelling and wagering expertise to help you place smarter bets with your chosen online bookie.

Although our predictive analytics model suggests that McNally is more likely to win the match, taking Juvan to win is the best option due to the edge we identified when comparing our data-led probabilities to the odds that are currently available.

Using the edges published on Stats Insider is pivotal to achieving long-term profitability.

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

Juvan vs McNally: Prediction

Stats Insider provides full betting coverage of the Kaja Juvan vs Catherine McNally match at the WTA Guangzhou tournament, including data-driven predictions and free betting tips.

Remember, our model updates regularly, so bookmark this page for the latest betting tips before the Juvan-McNally match at the WTA Guangzhou event.

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

Juvan vs McNally: WTA Guangzhou Essential Details

The 2025 WTA Guangzhou match between Kaja Juvan and Catherine McNally is scheduled to start at 7:25pm AEDT.

  • Match: Kaja Juvan vs Catherine McNally
  • Date: Tuesday 21 October 2025
  • Approx. Time: 7:25pm AEDT
  • Event: WTA Guangzhou, China Women's Singles 2025
  • Round: Round of 32

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

Conclusion

Our Kaja Juvan vs Catherine McNally predictions have been made based on 10,000 data-driven simulations of the game, all 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 predictions for betting purposes, it's important 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 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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