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Naomi Osaka vs Antonia Ruzic Prediction - Australian Open 2026

Naomi Osaka will take on Antonia Ruzic in the first round of the Australian Open Women's Singles 2026 on Tuesday.

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

Who Will Win?

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

Our independent predictive analytics model gives Osaka a 79% chance of beating Ruzic in the Australian Open Women's Singles 2026.

Osaka vs Ruzic: Odds

The current betting odds in Australia for Tuesday's Australian Open 2026 match between Osaka and Ruzic are listed below:

  • Head to Head: Osaka $1.22, Ruzic $4.33
  • First Set: Osaka $1.30, Ruzic $3.50

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

Looking at the latest head-to-head odds, TAB currently has Osaka at $1.22 and Ruzic at $4.33.

TAB currently has odds for Osaka to win the first set at $1.30 and odds for Ruzic to win the first set at $3.50.

Osaka vs Ruzic: Best Bets

  • Head to Head: Ruzic at $4.33 with TAB
  • First Set: Ruzic at $1.83 with TAB (56% probability)

Our Naomi Osaka vs Antonia Ruzic predictions are based on world-class simulations and wagering experience to help you place more informed bets with your chosen online bookie.

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

Using the edges seen here at Stats Insider is pivotal to achieving long-term profitability as a bettor.

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

Osaka vs Ruzic: Prediction

Stats Insider provides full coverage of the Naomi Osaka vs Antonia Ruzic match at the Australian Open 2026 tournament, including data-driven predictions and live updatestips.

Our model updates frequently, so bookmark this page for the latest betting predictions before the Osaka-Ruzic match in the Australian Open Women's Singles 2026.

As always, see Stats Insider's Best Bets to get betting tips for every tennis match, plus predictions for a wide range of other sports.

Osaka vs Ruzic: Australian Open 2026 Essential Details

The Australian Open 2026 match between Naomi Osaka and Antonia Ruzic is scheduled to commence at 9:00pm AEDT.

  • Match: Naomi Osaka vs Antonia Ruzic
  • Date: Tuesday 20 January 2026
  • Approx. Time: 9:00pm AEDT
  • Event: Australian Open Women's Singles 2026
  • Round: First round

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

Conclusion

Our Naomi Osaka vs Antonia Ruzic predictions are based on 10,000 data-driven simulations of the game, carefully 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 confidence to make informed decisions.

If you decide to use our predictions for betting purposes, it's vital that you gamble responsibly and manage your finances effectively. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

More on Tennis

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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