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Anastasia Gasanova vs Naomi Osaka Prediction - Wimbledon 2026

Anastasia Gasanova will sqaure off with Naomi Osaka in the second round of the Wimbledon Women's Singles 2026 on Wednesday.

This article features Stats Insider's free betting tips for the Gasanova vs Osaka match, as well as the latest betting odds in Australia.

Who Will Win?

Utilising trusted machine learning and data, Stats Insider has simulated the result of Wednesday's Gasanova-Osaka women's singles match 10,000 times.

Our leading predictive analytics model currently gives Osaka a 91% chance of beating Gasanova in the Wimbledon Women's Singles 2026.

Gasanova vs Osaka: Odds

The latest betting odds in Australia for Wednesday's Wimbledon 2026 match between Gasanova and Osaka are listed below:

  • Head to Head: Gasanova $11.00, Osaka $1.05
  • First Set: Gasanova $6.50, Osaka $1.11

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

Looking at the latest head-to-head odds, TAB currently has Gasanova at $11.00 and Osaka at $1.05.

TAB currently has odds for Gasanova to win the first set at $6.50 and odds for Osaka to win the first set at $1.11.

Gasanova vs Osaka: Best Bets

  • Head to Head: Gasanova at $11.00 with TAB
  • First Set: Osaka at $2.00 with TAB

These Anastasia Gasanova vs Naomi Osaka betting tips are based on complex modelling and gambling experience to help you place better bets with your chosen online bookie.

Although our predictive analytics model suggests that Osaka is more likely to win the match, betting on Gasanova to win is the best option due to the edge we found when comparing our data-led probabilities to the odds that are currently available.

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 Osaka ($2.00) is based on the chance of that happening, per our model, and the betting odds currently available.

Gasanova vs Osaka: Prediction

Stats Insider provides full coverage of the Anastasia Gasanova vs Naomi Osaka match at the Wimbledon 2026 tournament, including data-driven predictions and expert tips.

Our model updates frequently, so keep checking this page for the latest betting predictions before the Gasanova-Osaka match in the Wimbledon Women's Singles 2026.

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

Gasanova vs Osaka: Wimbledon 2026 Essential Details

The Wimbledon 2026 match between Anastasia Gasanova and Naomi Osaka is scheduled to start at 8:00pm AEST.

  • Match: Anastasia Gasanova vs Naomi Osaka
  • Date: Wednesday 1 July 2026
  • Approx. Time: 8:00pm AEST
  • Event: Wimbledon Women's Singles 2026
  • Round: Second round

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

Conclusion

Our Anastasia Gasanova vs Naomi Osaka predictions are the result of 10,000 data-driven simulations of the game, carefully curated by our team of experienced data scientists and analysts. We use the latest in predictive analytics technology and machine learning to ensure our tennis tips are trustworthy and reliable, so that you can make informed decisions with confidence.

If you choose to use our predictions for betting purposes, it's important that you gamble responsibly and keep track of your money. 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 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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