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Lilli Tagger vs Amanda Anisimova Prediction - US Open 2026

Lilli Tagger will face Amanda Anisimova 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 Tagger vs Anisimova match, plus the latest betting odds in Australia.

Who Will Win?

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

Our leading predictive analytics model currently gives Anisimova an 80% chance of winning against Tagger in the US Open Women's Singles 2026.

Tagger vs Anisimova: Odds

The current betting odds in Australia for Thursday's US Open 2026 match between Tagger and Anisimova are listed here:

  • Head to Head: Tagger $4.50, Anisimova $1.20
  • First Set: Tagger $3.75, Anisimova $1.28

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

Looking at the latest head-to-head odds, TAB currently has Tagger at $4.50 and Anisimova at $1.20.

TAB currently has odds for Tagger to win the first set at $3.75 and odds for Anisimova to win the first set at $1.28.

Tagger vs Anisimova: Best Bets

  • Head to Head: Tagger at $4.50 with TAB
  • First Set: Anisimova at $1.83 with TAB (51% probability)

Today's Lilli Tagger vs Amanda Anisimova betting tips are based on complex modelling and betting expertise to help you place more informed bets with your chosen online bookie.

Although our predictive analytics model indicates that Anisimova is more likely to win the match, betting on Tagger 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 crucial to being profitable over the long run.

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

Tagger vs Anisimova: Prediction

Stats Insider provides full coverage of the Lilli Tagger vs Amanda Anisimova match at the US Open 2026 tournament, including data-driven predictions and free betting tips.

Remember, our model updates regularly, so bookmark this article for the latest betting analysis before the Tagger-Anisimova match in the US Open Women's Singles 2026.

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

Tagger vs Anisimova: US Open 2026 Essential Details

The US Open 2026 match between Lilli Tagger and Amanda Anisimova is scheduled to start at 1:00am AEST.

  • Match: Lilli Tagger vs Amanda Anisimova
  • Date: Thursday 3 September 2026
  • Approx. Time: 1:00am 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 Lilli Tagger vs Amanda Anisimova predictions have been made after running 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 accurate and reliable, giving you the knowledge you need to make informed decisions with confidence.

If you choose 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 home 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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