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Maya Joint vs Liudmila Samsonova Prediction - US Open 2026

Maya Joint will face Liudmila Samsonova in the first round of the US Open Women's Singles 2026 on Tuesday.

This article features Stats Insider's prediction and tips for the Joint vs Samsonova match, as well as the latest betting odds in Australia.

Who Will Win?

Using advanced computer power and data, Stats Insider has simulated the outcome of Tuesday's Joint-Samsonova women's singles match 10,000 times.

Our proven predictive analytics model gives Samsonova a 69% chance of defeating Joint in the US Open Women's Singles 2026.

Joint vs Samsonova: Odds

The current betting odds in Australia for Tuesday's US Open 2026 match between Joint and Samsonova are shown below:

  • Head to Head: Joint $3.20, Samsonova $1.36
  • First Set: Joint $2.75, Samsonova $1.44

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

Looking at the latest head-to-head odds, TAB currently has Joint at $3.20 and Samsonova at $1.36.

TAB currently has odds for Joint to win the first set at $2.75 and odds for Samsonova to win the first set at $1.44.

Joint vs Samsonova: Betting Tips

  • Head to Head: Joint at $3.20 with TAB
  • First Set: Samsonova at $1.83 with TAB (52% probability)

Our Maya Joint vs Liudmila Samsonova betting tips are based on detailed simulations and gambling expertise to help you place better bets with your chosen online bookie.

Although our predictive analytics model suggests that Samsonova is more likely to win the match, betting on Joint to win is the best option because of the edge we identified when comparing our data-led probabilities to the odds that are currently being offered.

Using the edges published on Stats Insider is pivotal to achieving long-term profitability as a bettor.

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

Joint vs Samsonova: Prediction

Stats Insider provides full betting coverage of the Maya Joint vs Liudmila Samsonova match at the US Open 2026 tournament, including data-driven predictions and live in-play probabilitiestips.

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

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

Joint vs Samsonova: US Open 2026 Essential Details

The US Open 2026 match between Maya Joint and Liudmila Samsonova is scheduled to commence at 7:00am AEST.

  • Match: Maya Joint vs Liudmila Samsonova
  • Date: Tuesday 1 September 2026
  • Approx. Time: 7:00am 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 Maya Joint vs Liudmila Samsonova predictions are the result of 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 trustworthy and reliable, giving you the confidence to make informed decisions.

If you decide to use our tennis predictions for betting purposes, it's crucial that you 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 go-to source for betting on tennis in Australia, with the latest tennis betting news, predictions 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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