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Tatjana Maria vs Katie Volynets Prediction - WTA Ostrava 2026

Tatjana Maria will face Katie Volynets in the round of 16 at the 2026 WTA Ostrava tournament on Wednesday.

This article features Stats Insider's prediction and tips for the Maria vs Volynets match, plus the latest betting odds in Australia.

Who Will Win?

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

Our independent predictive analytics model currently gives Volynets a 71% chance of defeating Maria at the WTA Ostrava tournament.

Maria vs Volynets: Odds

The current betting odds in Australia for Wednesday's WTA Ostrava match between Maria and Volynets are shown here:

  • Head to Head: Maria $3.40, Volynets $1.33
  • First Set: Maria $2.75, Volynets $1.44

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

Looking at the latest head-to-head odds, TAB currently has Maria at $3.40 and Volynets at $1.33.

TAB currently has odds for Maria to win the first set at $2.75 and odds for Volynets to win the first set at $1.44.

Maria vs Volynets: Best Bets

  • Head to Head: Maria at $3.40 with TAB
  • First Set: Volynets at $1.90 with TAB (51% probability)

Today's Tatjana Maria vs Katie Volynets best bets are based on world-class simulations and betting experience to help you place more informed bets with your chosen online bookie.

Although our predictive analytics model indicates that Volynets is more likely to win the match, betting on Maria to win is the best option because of the edge we identified when comparing our data-led probabilities to the odds that are currently being offered.

Taking advantage of the edges published here at Stats Insider is crucial to being a profitable bettor over the long run.

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

Maria vs Volynets: Prediction

Stats Insider provides full coverage of the Tatjana Maria vs Katie Volynets match at the WTA Ostrava tournament, including data-driven predictions and free betting tips.

Remember, our model updates frequently, so keep checking this article for the latest betting tips before the Maria-Volynets match at the WTA Ostrava tournament.

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

Maria vs Volynets: WTA Ostrava Essential Details

The 2026 WTA Ostrava match between Tatjana Maria and Katie Volynets is scheduled to begin at 2:00am AEDT.

  • Match: Tatjana Maria vs Katie Volynets
  • Date: Wednesday 4 February 2026
  • Approx. Time: 2:00am AEDT
  • Event: WTA Ostrava, Czech Republic Women's Singles 2026
  • Round: Round of 16

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

Conclusion

Our Tatjana Maria vs Katie Volynets predictions are the result of 10,000 data-driven simulations of the game, carefully curated by our team of expert data scientists and analysts. We use cutting-edge technology and machine learning to ensure our tennis tips are accurate and reliable, so that you can make informed decisions with confidence.

If you decide to use our tennis predictions for betting purposes, it's vital to gamble responsibly and know when to stop. 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 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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