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Coleman Wong vs Andrey Rublev Prediction - US Open 2025

Coleman Wong will take on Andrey Rublev in the third round of the US Open Men's Singles 2025 on Sunday.

This article features Stats Insider's best betting tips for the Wong vs Rublev 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 Sunday's Wong-Rublev men's singles match 10,000 times.

Our independent predictive analytics model gives Rublev a 90% chance of defeating Wong in the US Open Men's Singles 2025.

Wong vs Rublev: Odds

The latest betting odds in Australia for Sunday's US Open 2025 match between Wong and Rublev are shown here:

  • Head to Head: Wong $8.00, Rublev $1.08
  • First Set: Wong $4.33, Rublev $1.22

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

Looking at the latest head-to-head odds, TAB currently has Wong at $8.00 and Rublev at $1.08.

TAB currently has odds for Wong to win the first set at $4.33 and odds for Rublev to win the first set at $1.22.

Wong vs Rublev: Betting Tips

  • Head to Head: Wong at $8.00 with TAB
  • First Set: Rublev at $1.72 with TAB (65% probability) 🔥

When you see a 🔥, that means you've found one of our best tips of the day across all sports.

Today's Coleman Wong vs Andrey Rublev predictions are based on complex simulations and gambling experience to help you place smarter bets with your chosen online bookie.

Even though our predictive analytics model suggests that Rublev is more likely to win the match, taking Wong to win is our preferred option because of the edge we discovered when comparing our data-led probabilities to the odds that are currently available.

Taking advantage of the edges published on Stats Insider is pivotal to being profitable over the long run.

And while Rublev is more likely to win the first set on this occassion, our recommended bet of Rublev ($1.72) is based on the chance of that happening, per our model, and the betting odds currently available.

Wong vs Rublev: Prediction

Stats Insider provides full betting coverage of the Coleman Wong vs Andrey Rublev match at the US Open 2025 tournament, including data-driven predictions and free betting tips.

Our model updates regularly, so keep checking this article for the latest betting tips before the Wong-Rublev match in the US Open Men's Singles 2025.

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

Wong vs Rublev: US Open 2025 Essential Details

The US Open 2025 match between Coleman Wong and Andrey Rublev is scheduled to commence at 1:00am AEST.

  • Match: Coleman Wong vs Andrey Rublev
  • Date: Sunday 31 August 2025
  • Approx. Time: 1:00am AEST
  • Event: US Open Men's Singles 2025
  • Round: Third round

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

Conclusion

Our Coleman Wong vs Andrey Rublev predictions are based on 10,000 data-driven simulations of the game, carefully curated by our team of skilled 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 choose to use our tennis 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.

More on Tennis

Stats Insider is your home for betting on tennis in Australia, with the latest tennis betting news, tips 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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