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Elvina Kalieva vs Lanlana Tararudee Prediction - US Open 2026

Elvina Kalieva will take on Lanlana Tararudee in the first round of the US Open Women's Singles 2026 on Monday.

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

Who Will Win?

Using trusted machine learning and data, Stats Insider has simulated the outcome of Monday's Kalieva-Tararudee women's singles match 10,000 times.

Our leading predictive analytics model gives Tararudee a 63% chance of winning against Kalieva in the US Open Women's Singles 2026.

Kalieva vs Tararudee: Odds

The latest betting odds in Australia for Monday's US Open 2026 match between Kalieva and Tararudee are listed below:

  • Head to Head: Kalieva $2.75, Tararudee $1.44
  • First Set: Kalieva $2.50, Tararudee $1.53

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

Looking at the latest head-to-head odds, TAB currently has Kalieva at $2.75 and Tararudee at $1.44.

TAB currently has odds for Kalieva to win the first set at $2.50 and odds for Tararudee to win the first set at $1.53.

Kalieva vs Tararudee: Betting Tips

  • Head to Head: Kalieva at $2.75 with TAB
  • First Set: Tararudee at $1.90 with TAB (52% probability)

Our Elvina Kalieva vs Lanlana Tararudee predictions are based on market-leading simulations and gambling experience to give you the best possible advice around the clock.

Even though our predictive analytics model indicates that Tararudee is more likely to win the match, taking Kalieva to win is the best option because of the edge we found 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 a profitable sports bettor over the long run.

And while Tararudee is more likely to win the first set on this occassion, our suggested bet of Tararudee ($1.90) is based on the likelihood of that happening, per our model, and the betting odds currently available.

Kalieva vs Tararudee: Prediction

Stats Insider provides full coverage of the Elvina Kalieva vs Lanlana Tararudee match at the US Open 2026 tournament, including data-driven predictions and expert tips.

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

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

Kalieva vs Tararudee: US Open 2026 Essential Details

The US Open 2026 match between Elvina Kalieva and Lanlana Tararudee is scheduled to commence at 2:40am AEST.

  • Match: Elvina Kalieva vs Lanlana Tararudee
  • Date: Monday 31 August 2026
  • Approx. Time: 2:40am AEST
  • Event: US Open Women's Singles 2026
  • Round: First round

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

Conclusion

Our Elvina Kalieva vs Lanlana Tararudee predictions have been made thanks to 10,000 data-driven simulations of the game, all curated by our team of skilled 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 predictions for betting purposes, it's vital to 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 home for betting on tennis in Australia, with the latest tennis betting news, predictions 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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