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Kaitlin Quevedo vs Elise Mertens Prediction - US Open 2026

Kaitlin Quevedo will take on Elise Mertens in the first round of the US Open Women's Singles 2026 on Wednesday.

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

Who Will Win?

Utilising trusted computer power and data, Stats Insider has simulated the result of Wednesday's Quevedo-Mertens women's singles match 10,000 times.

Our independent predictive analytics model gives Mertens an 82% chance of beating Quevedo in the US Open Women's Singles 2026.

Quevedo vs Mertens: Odds

The latest betting odds in Australia for Wednesday's US Open 2026 match between Quevedo and Mertens are shown below:

  • Head to Head: Quevedo $5.50, Mertens $1.14
  • First Set: Quevedo $4.00, Mertens $1.25

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

Looking at the latest head-to-head odds, TAB currently has Quevedo at $5.50 and Mertens at $1.14.

TAB currently has odds for Quevedo to win the first set at $4.00 and odds for Mertens to win the first set at $1.25.

Quevedo vs Mertens: Betting Tips

  • Head to Head: Quevedo at $5.50 with TAB
  • First Set: Mertens at $2.00 with TAB (52% probability)

Today's Kaitlin Quevedo vs Elise Mertens best bets are based on detailed modelling and betting expertise to provide you with the best possible advice 24/7/365.

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

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

And while Mertens is more likely to win the first set on this occassion, our recommended bet of Mertens ($2.00) is based on the likelihood of that happening, per our model, and the betting odds currently available.

Quevedo vs Mertens: Prediction

Stats Insider provides full coverage of the Kaitlin Quevedo vs Elise Mertens match at the US Open 2026 tournament, including data-driven predictions and top betting tips.

Remember, our model updates frequently, so keep checking this article for the latest betting tips before the Quevedo-Mertens match in the US Open Women's Singles 2026.

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

Quevedo vs Mertens: US Open 2026 Essential Details

The US Open 2026 match between Kaitlin Quevedo and Elise Mertens is scheduled to commence at 4:50am AEST.

  • Match: Kaitlin Quevedo vs Elise Mertens
  • Date: Wednesday 2 September 2026
  • Approx. Time: 4:50am AEST
  • Event: US Open Women's Singles 2026
  • Round: First round

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

Conclusion

Our Kaitlin Quevedo vs Elise Mertens predictions are based on 10,000 data-driven simulations of the game, carefully curated by our team of experienced data scientists and analysts. We use cutting-edge technology and machine learning to ensure our tennis tips are accurate and reliable, giving you the knowledge you need to make informed decisions with confidence.

If you decide to use our predictions for betting purposes, it's crucial to gamble responsibly and manage your finances effectively. 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 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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