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Katie Volynets vs Ann Li Prediction - WTA Hobart International 2026

Katie Volynets will face Ann Li in the round of 32 at the 2026 WTA Hobart International tournament on Monday.

This article features Stats Insider's top betting tips for the Volynets vs Li match, as well as the latest betting odds in Australia.

Who Will Win?

Using trusted machine learning and data, Stats Insider has simulated the result of Monday's Volynets-Li women's singles match 10,000 times.

Our proven predictive analytics model gives Volynets a 53% chance of winning against Li at the WTA Hobart International tournament.

Volynets vs Li: Odds

The current betting odds in Australia for Monday's WTA Hobart International match between Volynets and Li are listed here:

  • Head to Head: Volynets $1.80, Li $2.00
  • First Set: Volynets $1.90, Li $1.90

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

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

TAB currently has odds for Volynets to win the first set at $1.90 and odds for Li to win the first set at $1.90.

Volynets vs Li: Best Bets

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

Stats Insider's Katie Volynets vs Ann Li betting tips are based on market-leading modelling and wagering experience to bring you the best possible advice around the clock.

Even though our predictive analytics model suggests that Volynets is more likely to win the match, taking Li to win is our preferred option because of the edge we discovered when comparing our data-led probabilities to the odds that are currently available.

Using the edges published on Stats Insider is crucial to being profitable over the long run.

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

Volynets vs Li: Prediction

Stats Insider provides full coverage of the Katie Volynets vs Ann Li match at the WTA Hobart International tournament, including data-driven predictions and expert tips.

Our model updates frequently, so keep checking this article for the latest betting predictions before the Volynets-Li match at the WTA Hobart International tournament.

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

Volynets vs Li: WTA Hobart International Essential Details

The 2026 WTA Hobart International match between Katie Volynets and Ann Li is scheduled to commence at 1:20pm AEDT.

  • Match: Katie Volynets vs Ann Li
  • Date: Monday 12 January 2026
  • Approx. Time: 1:20pm AEDT
  • Event: WTA Hobart, Australia 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 Katie Volynets vs Ann Li predictions are the result of 10,000 data-driven simulations of the game, all curated by our team of expert 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 knowledge you need to make informed decisions with confidence.

If you decide 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.

More on Tennis

Stats Insider is your go-to source 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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