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Caroline Dolehide vs Xinyu Wang Prediction - US Open 2025

Caroline Dolehide will take on Xinyu Wang in the first round of the US Open Women's Singles 2025 on Wednesday.

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

Who Will Win?

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

Our proven predictive analytics model gives Wang a 56% chance of defeating Dolehide in the US Open Women's Singles 2025.

Dolehide vs Wang: Odds

The latest betting odds in Australia for Wednesday's US Open 2025 match between Dolehide and Wang are listed here:

  • Head to Head: Dolehide $2.30, Wang $1.61
  • First Set: Dolehide $2.20, Wang $1.66

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

Looking at the latest head-to-head odds, TAB currently has Dolehide at $2.30 and Wang at $1.61.

TAB currently has odds for Dolehide to win the first set at $2.20 and odds for Wang to win the first set at $1.66.

Dolehide vs Wang: Best Bets

  • Head to Head: Dolehide at $2.30 with TAB
  • First Set: Wang at $1.83 with TAB (55% probability)

Stats Insider's Caroline Dolehide vs Xinyu Wang best bets are based on complex simulations and wagering expertise to help you place more informed bets with your chosen online bookie.

Even though our predictive analytics model indicates that Wang is more likely to win the match, betting on Dolehide to win is our preferred option due to the edge we found when comparing our data-led probabilities to the odds that are currently available.

Taking advantage of the edges published on Stats Insider is one of the keys to achieving long-term profitability.

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

Dolehide vs Wang: Prediction

Stats Insider provides full coverage of the Caroline Dolehide vs Xinyu Wang match at the US Open 2025 tournament, including data-driven predictions and expert tips.

Remember, our model updates regularly, so bookmark this article for the latest betting analysis before the Dolehide-Wang match in the US Open Women's Singles 2025.

As always, see our Best Bets for betting tips on every tennis match, as well as predictions for a wide range of other sports.

Dolehide vs Wang: US Open 2025 Essential Details

The US Open 2025 match between Caroline Dolehide and Xinyu Wang is scheduled to start at 1:00am AEST.

  • Match: Caroline Dolehide vs Xinyu Wang
  • Date: Wednesday 27 August 2025
  • Approx. Time: 1:00am AEST
  • Event: US Open Women's Singles 2025
  • Round: First round

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

Conclusion

Our Caroline Dolehide vs Xinyu Wang predictions are the result of 10,000 data-driven simulations of the game, all 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 decide to use our predictions for betting purposes, it's vital to 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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