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Daniel Merida vs Andrey Rublev Prediction - US Open 2026

Daniel Merida will face Andrey Rublev in the second round of the US Open Men's Singles 2026 on Thursday.

This article features Stats Insider's prediction and tips for the Merida vs Rublev match, along with the latest betting odds in Australia.

Who Will Win?

Using trusted computer power and data, Stats Insider has simulated the result of Thursday's Merida-Rublev men's singles match 10,000 times.

Our proven predictive analytics model currently gives Rublev a 53% chance of beating Merida in the US Open Men's Singles 2026.

Merida vs Rublev: Odds

The current betting odds in Australia for Thursday's US Open 2026 match between Merida and Rublev are shown below:

  • Head to Head: Merida $2.10, Rublev $1.72
  • First Set: Merida $2.00, Rublev $1.80

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

Looking at the latest head-to-head odds, TAB currently has Merida at $2.10 and Rublev at $1.72.

TAB currently has odds for Merida to win the first set at $2.00 and odds for Rublev to win the first set at $1.80.

Merida vs Rublev: Best Bets

  • Head to Head: Merida at $2.10 with TAB
  • First Set: Rublev at $1.83 with TAB (51% probability)

Stats Insider's Daniel Merida vs Andrey Rublev betting tips are based on detailed modelling and betting expertise to bring you the best possible advice 24/7/365.

Although our predictive analytics model suggests that Rublev is more likely to win the match, taking Merida to win is our preferred option due to 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 pivotal to achieving long-term profitability as a sports bettor.

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

Merida vs Rublev: Prediction

Stats Insider provides full coverage of the Daniel Merida vs Andrey Rublev match at the US Open 2026 tournament, including data-driven predictions and live win probabilitiestips.

Remember, our model updates regularly, so bookmark this article for the latest betting predictions before the Merida-Rublev match in the US Open Men's Singles 2026.

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

Merida vs Rublev: US Open 2026 Essential Details

The US Open 2026 match between Daniel Merida and Andrey Rublev is scheduled to begin at 1:00am AEST.

  • Match: Daniel Merida vs Andrey Rublev
  • Date: Thursday 3 September 2026
  • Approx. Time: 1:00am AEST
  • Event: US Open Men'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 Daniel Merida vs Andrey Rublev predictions are based on 10,000 data-driven simulations of the game, all 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 trustworthy and reliable, so that you can make informed decisions with confidence.

If you choose to use our predictions for betting purposes, it's crucial that you gamble responsibly and manage your finances effectively. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

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Stats Insider is your go-to source 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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