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Janice Tjen vs Maria Sakkari Prediction - WTA Madrid Open 2026

Janice Tjen will take on Maria Sakkari in the round of 128 at the 2026 WTA Madrid Open tournament on Tuesday.

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

Who Will Win?

Using trusted machine learning and data, Stats Insider has simulated the result of Tuesday's Tjen-Sakkari women's singles match 10,000 times.

Our leading predictive analytics model gives Sakkari a 62% chance of beating Tjen at the WTA Madrid Open tournament.

Tjen vs Sakkari: Odds

The latest betting odds in Australia for Tuesday's WTA Madrid Open match between Tjen and Sakkari are shown here:

  • Head to Head: Tjen $2.50, Sakkari $1.53
  • First Set: Tjen $2.37, Sakkari $1.57

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

Looking at the latest head-to-head odds, TAB currently has Tjen at $2.50 and Sakkari at $1.53.

TAB currently has odds for Tjen to win the first set at $2.37 and odds for Sakkari to win the first set at $1.57.

Tjen vs Sakkari: Betting Tips

  • Head to Head: Tjen at $2.50 with TAB
  • First Set: Sakkari at $1.83 with TAB (51% probability)

These Janice Tjen vs Maria Sakkari best bets are based on detailed modelling and betting expertise to bring you the best possible advice every day of the year.

Even though our predictive analytics model indicates that Sakkari is more likely to win the match, betting on Tjen to win is the best option due to the edge we discovered when comparing our data-led probabilities to the odds that are currently being offered.

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

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

Tjen vs Sakkari: Prediction

Stats Insider provides full betting coverage of the Janice Tjen vs Maria Sakkari match at the WTA Madrid Open tournament, including data-driven predictions and free betting tips.

Our model updates regularly, so bookmark this page for the latest betting analysis before the Tjen-Sakkari match at the WTA Madrid Open event.

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

Tjen vs Sakkari: WTA Madrid Open Essential Details

The 2026 WTA Madrid Open match between Janice Tjen and Maria Sakkari is scheduled to commence at 6:00pm AEST.

  • Match: Janice Tjen vs Maria Sakkari
  • Date: Tuesday 21 April 2026
  • Approx. Time: 6:00pm AEST
  • Event: WTA Madrid, Spain Women's Singles 2026
  • Round: Round of 128

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

Conclusion

Our Janice Tjen vs Maria Sakkari predictions are based on 10,000 data-driven simulations of the game, carefully curated by our team of skilled 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 choose to use our tennis predictions for betting purposes, it's crucial to 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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