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Marta Kostyuk vs Sloane Stephens Prediction - US Open 2026

Marta Kostyuk will face Sloane Stephens in the second round of the US Open Women's Singles 2026 on Thursday.

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

Who Will Win?

Utilising advanced computer power and data, Stats Insider has simulated the result of Thursday's Kostyuk-Stephens women's singles match 10,000 times.

Our leading predictive analytics model gives Kostyuk an 85% chance of winning against Stephens in the US Open Women's Singles 2026.

Kostyuk vs Stephens: Odds

The current betting odds in Australia for Thursday's US Open 2026 match between Kostyuk and Stephens are shown here:

  • Head to Head: Kostyuk $1.10, Stephens $7.00
  • First Set: Kostyuk $1.20, Stephens $4.50

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

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

TAB currently has odds for Kostyuk to win the first set at $1.20 and odds for Stephens to win the first set at $4.50.

Kostyuk vs Stephens: Betting Tips

  • Head to Head: Stephens at $7.00 with TAB
  • First Set: Stephens at $1.83 with TAB (50% probability)

Our Marta Kostyuk vs Sloane Stephens betting tips are based on detailed modelling and wagering intelligence to help you place better bets with your chosen online bookie.

Even though our predictive analytics model indicates that Kostyuk is more likely to win the match, taking Stephens to win is our preferred option because of the edge we discovered when comparing our data-led probabilities to the odds that are currently being offered.

Using the edges published on Stats Insider is pivotal to being profitable over the long run.

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

Kostyuk vs Stephens: Prediction

Stats Insider provides full coverage of the Marta Kostyuk vs Sloane Stephens match at the US Open 2026 tournament, including data-driven predictions and expert tips.

Our model updates frequently, so keep checking this page for the latest betting tips before the Kostyuk-Stephens match in the US Open Women's Singles 2026.

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

Kostyuk vs Stephens: US Open 2026 Essential Details

The US Open 2026 match between Marta Kostyuk and Sloane Stephens is scheduled to start at 2:40am AEST.

  • Match: Marta Kostyuk vs Sloane Stephens
  • Date: Thursday 3 September 2026
  • Approx. Time: 2:40am AEST
  • Event: US Open Women's Singles 2026
  • Round: Second round

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

Conclusion

Our Marta Kostyuk vs Sloane Stephens predictions have been made based on 10,000 data-driven simulations of the game, carefully 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 crucial 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, 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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