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Taylor Townsend vs Antonia Ruzic Prediction - US Open 2025

Taylor Townsend will face Antonia Ruzic in the first round of the US Open Women's Singles 2025 on Tuesday.

This article features Stats Insider's top betting tips for the Townsend vs Ruzic match, plus the latest betting odds in Australia.

Who Will Win?

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

Our leading predictive analytics model currently gives Townsend a 59% chance of defeating Ruzic in the US Open Women's Singles 2025.

Townsend vs Ruzic: Odds

The latest betting odds in Australia for Tuesday's US Open 2025 match between Townsend and Ruzic are listed here:

  • Head to Head: Townsend $1.57, Ruzic $2.37
  • First Set: Townsend $1.66, Ruzic $2.20

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

Looking at the latest head-to-head odds, TAB currently has Townsend at $1.57 and Ruzic at $2.37.

TAB currently has odds for Townsend to win the first set at $1.66 and odds for Ruzic to win the first set at $2.20.

Townsend vs Ruzic: Betting Tips

  • Head to Head: Ruzic at $2.37 with TAB
  • First Set: Ruzic at $1.83 with TAB (55% probability)

These Taylor Townsend vs Antonia Ruzic predictions are based on complex modelling and betting expertise to bring you the best possible advice 24/7.

Even though our predictive analytics model suggests that Townsend is more likely to win the match, betting on Ruzic to win is the best option due to the edge we discovered when comparing our data-led probabilities to the odds that are currently being offered.

Using the edges seen here at Stats Insider is crucial to being a profitable bettor over the long run.

And while Townsend is more likely to win the first set on this occassion, our recommended bet of Ruzic ($1.83) is based on the expectation of that happening, per our model, and the betting odds currently available.

Townsend vs Ruzic: Prediction

Stats Insider provides full betting coverage of the Taylor Townsend vs Antonia Ruzic match at the US Open 2025 tournament, including data-driven predictions and live scorestips.

Our model updates frequently, so bookmark this article for the latest betting analysis before the Townsend-Ruzic match in the US Open Women's Singles 2025.

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.

Townsend vs Ruzic: US Open 2025 Essential Details

The US Open 2025 match between Taylor Townsend and Antonia Ruzic is scheduled to commence at 2:55am AEST.

  • Match: Taylor Townsend vs Antonia Ruzic
  • Date: Tuesday 26 August 2025
  • Approx. Time: 2:55am AEST
  • Event: US Open Women's Singles 2025
  • Round: First round

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

Conclusion

Our Taylor Townsend vs Antonia Ruzic 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 accurate and reliable, giving you the knowledge you need to make informed decisions with confidence.

If you choose to use our predictions for betting purposes, it's important to 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 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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