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Moyuka Uchijima vs Coco Gauff Prediction - WTA Wuhan 2025

Moyuka Uchijima will take on Coco Gauff in the round of 32 at the 2025 WTA Wuhan tournament on Wednesday.

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

Who Will Win?

Based on trusted machine learning and data, Stats Insider has simulated the outcome of Wednesday's Uchijima-Gauff women's singles match 10,000 times.

Our independent predictive analytics model currently gives Gauff an 85% chance of beating Uchijima at the WTA Wuhan tournament.

Uchijima vs Gauff: Odds

The current betting odds in Australia for Wednesday's WTA Wuhan match between Uchijima and Gauff are shown here:

  • Head to Head: Uchijima $7.00, Gauff $1.10
  • First Set: Uchijima $5.00, Gauff $1.16

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

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

TAB currently has odds for Uchijima to win the first set at $5.00 and odds for Gauff to win the first set at $1.16.

Uchijima vs Gauff: Best Bets

  • Head to Head: Uchijima at $7.00 with TAB
  • First Set: Gauff at $1.83 with TAB (52% probability)

Our Moyuka Uchijima vs Coco Gauff predictions are based on world-class simulations and wagering intelligence to give you the best possible advice 24/7/365.

Although our predictive analytics model suggests that Gauff is more likely to win the match, taking Uchijima to win is the best option because of the edge we discovered when comparing our data-led probabilities to the odds that are currently available.

Using the edges seen here at Stats Insider is one of the keys to being profitable over the long run.

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

Uchijima vs Gauff: Prediction

Stats Insider provides full coverage of the Moyuka Uchijima vs Coco Gauff match at the WTA Wuhan tournament, including data-driven predictions and free tips.

Remember, our model updates regularly, so keep checking this page for the latest betting analysis before the Uchijima-Gauff match at the WTA Wuhan tournament.

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

Uchijima vs Gauff: WTA Wuhan Essential Details

The 2025 WTA Wuhan match between Moyuka Uchijima and Coco Gauff is scheduled to commence at 5:00pm AEDT.

  • Match: Moyuka Uchijima vs Coco Gauff
  • Date: Wednesday 8 October 2025
  • Approx. Time: 5:00pm AEDT
  • Event: WTA Wuhan, China Women's Singles 2025
  • Round: Round of 32

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

Conclusion

Our Moyuka Uchijima vs Coco Gauff 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 know when to stop. 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 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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