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Emma Navarro vs Caty McNally Prediction - US Open 2026

Emma Navarro will sqaure off with Caty McNally in the second round of the US Open Women's Singles 2026 on Thursday.

This article features Stats Insider's prediction and tips for the Navarro vs McNally match, as well as the latest betting odds in Australia.

Who Will Win?

Utilising trusted computer power and data, Stats Insider has simulated the outcome of Thursday's Navarro-McNally women's singles match 10,000 times.

Our independent predictive analytics model currently gives Navarro a 55% chance of defeating McNally in the US Open Women's Singles 2026.

Navarro vs McNally: Odds

The current betting odds in Australia for Thursday's US Open 2026 match between Navarro and McNally are shown here:

  • Head to Head: Navarro $1.72, McNally $2.10
  • First Set: Navarro $1.80, McNally $2.00

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

Looking at the latest head-to-head odds, TAB currently has Navarro at $1.72 and McNally at $2.10.

TAB currently has odds for Navarro to win the first set at $1.80 and odds for McNally to win the first set at $2.00.

Navarro vs McNally: Betting Tips

  • Head to Head: McNally at $2.10 with TAB
  • First Set: McNally at $1.90 with TAB

Stats Insider's Emma Navarro vs Caty McNally best bets are based on world-class modelling and wagering experience to help you place smarter bets with your chosen online bookie.

Although our predictive analytics model indicates that Navarro is more likely to win the match, taking McNally 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 one of the keys to achieving long-term profitability.

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

Navarro vs McNally: Prediction

Stats Insider provides full betting coverage of the Emma Navarro vs Caty McNally match at the US Open 2026 tournament, including data-driven predictions and live in-play probabilitiestips.

Remember, our model updates frequently, so bookmark this article for the latest betting predictions before the Navarro-McNally match in the US Open Women's Singles 2026.

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

Navarro vs McNally: US Open 2026 Essential Details

The US Open 2026 match between Emma Navarro and Caty McNally is scheduled to begin at 2:40am AEST.

  • Match: Emma Navarro vs Caty McNally
  • Date: Thursday 3 September 2026
  • Approx. Time: 2:40am AEST
  • Event: US Open Women's Singles 2026
  • Round: Second round

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

Conclusion

Our Emma Navarro vs Caty McNally predictions are the result of 10,000 data-driven simulations of the game, carefully curated by our team of skilled 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 predictions for betting purposes, it's crucial to gamble responsibly and manage your finances effectively. 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, 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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