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Aryna Sabalenka vs Camila Osorio Prediction - US Open 2026

Aryna Sabalenka will face Camila Osorio in the first round of the US Open Women's Singles 2026 on Monday.

This article features Stats Insider's top betting tips for the Sabalenka vs Osorio match, along with the latest betting odds in Australia.

Who Will Win?

Utilising trusted machine learning and data, Stats Insider has simulated the outcome of Monday's Sabalenka-Osorio women's singles match 10,000 times.

Our leading predictive analytics model currently gives Sabalenka an 86% chance of beating Osorio in the US Open Women's Singles 2026.

Sabalenka vs Osorio: Odds

The current betting odds in Australia for Monday's US Open 2026 match between Sabalenka and Osorio are listed here:

  • Head to Head: Sabalenka $1.10, Osorio $7.00
  • First Set: Sabalenka $1.20, Osorio $4.50

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

Looking at the latest head-to-head odds, TAB currently has Sabalenka at $1.10 and Osorio at $7.00.

TAB currently has odds for Sabalenka to win the first set at $1.20 and odds for Osorio to win the first set at $4.50.

Sabalenka vs Osorio: Best Bets

  • Head to Head: Osorio at $7.00 with TAB
  • First Set: Osorio at $1.90 with TAB (50% probability)

Our Aryna Sabalenka vs Camila Osorio betting tips are based on world-class simulations and gambling intelligence to give you the best possible advice around the clock.

Even though our predictive analytics model suggests that Sabalenka is more likely to win the match, betting on Osorio 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 crucial to being profitable over the long run.

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

Sabalenka vs Osorio: Prediction

Stats Insider provides full coverage of the Aryna Sabalenka vs Camila Osorio match at the US Open 2026 tournament, including data-driven predictions and free betting tips.

Our model updates frequently, so refresh this page for the latest betting tips before the Sabalenka-Osorio match in the US Open Women's Singles 2026.

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

Sabalenka vs Osorio: US Open 2026 Essential Details

The US Open 2026 match between Aryna Sabalenka and Camila Osorio is scheduled to begin at 1:00am AEST.

  • Match: Aryna Sabalenka vs Camila Osorio
  • Date: Monday 31 August 2026
  • Approx. Time: 1:00am AEST
  • Event: US Open Women's Singles 2026
  • Round: First round

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

Conclusion

Our Aryna Sabalenka vs Camila Osorio 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 accurate and reliable, giving you the confidence to make informed decisions.

If you choose to use our tennis predictions for betting purposes, it's crucial that you 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 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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