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Emma Navarro vs Catherine McNally Prediction - US Open 2025

Emma Navarro will sqaure off with Catherine McNally in the second round of the US Open Women's Singles 2025 on Thursday.

This article features Stats Insider's best betting tips for the Navarro vs McNally match, along with the latest betting odds in Australia.

Who Will Win?

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

Our leading predictive analytics model gives Navarro a 57% chance of winning against McNally in the US Open Women's Singles 2025.

Navarro vs McNally: Odds

The latest betting odds in Australia for Thursday's US Open 2025 match between Navarro and McNally are shown below:

  • Head to Head: Navarro $1.66, McNally $2.20
  • First Set: Navarro $1.72, McNally $2.10

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 $1.66 and McNally at $2.20.

TAB currently has odds for Navarro to win the first set at $1.72 and odds for McNally to win the first set at $2.10.

Navarro vs McNally: Betting Tips

  • Head to Head: McNally at $2.20 with TAB
  • First Set: McNally at $1.90 with TAB

Our Emma Navarro vs Catherine McNally betting tips are based on detailed modelling and betting experience to provide you with the best possible advice 24/7.

Even though our predictive analytics model indicates that Navarro is more likely to win the match, taking McNally to win is our preferred option because of 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 one of the keys to being a profitable bettor over the long run.

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 Catherine McNally match at the US Open 2025 tournament, including data-driven predictions and expert tips.

Our model updates frequently, so keep checking this page for the latest betting predictions before the Navarro-McNally match in the US Open Women's Singles 2025.

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

Navarro vs McNally: US Open 2025 Essential Details

The US Open 2025 match between Emma Navarro and Catherine McNally is scheduled to commence at 1:00am AEST.

  • Match: Emma Navarro vs Catherine McNally
  • Date: Thursday 28 August 2025
  • Approx. Time: 1:00am AEST
  • Event: US Open Women's Singles 2025
  • Round: Second round

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

Conclusion

Our Emma Navarro vs Catherine McNally predictions are based on 10,000 data-driven simulations of the game, carefully curated by our team of experienced data scientists and analysts. We use cutting-edge 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 tennis predictions for betting purposes, it's crucial to gamble responsibly and keep track of your money. 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, 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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