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Janice Tjen vs Maya Joint Prediction - WTA Abu Dhabi Open 2026

Janice Tjen will take on Maya Joint in the round of 32 at the 2026 WTA Abu Dhabi Open tournament on Monday.

This article features Stats Insider's free betting tips for the Tjen vs Joint match, plus the latest betting odds in Australia.

Who Will Win?

Based on advanced computer power and data, Stats Insider has simulated the outcome of Monday's Tjen-Joint women's singles match 10,000 times.

Our independent predictive analytics model gives Tjen a 51% chance of winning against Joint at the WTA Abu Dhabi Open tournament.

Tjen vs Joint: Odds

The latest betting odds in Australia for Monday's WTA Abu Dhabi Open match between Tjen and Joint are shown here:

  • Head to Head: Tjen $1.80, Joint $2.00
  • First Set: Tjen $1.80, Joint $2.00

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 $1.80 and Joint at $2.00.

TAB currently has odds for Tjen to win the first set at $1.80 and odds for Joint to win the first set at $2.00.

Tjen vs Joint: Betting Tips

  • Head to Head: Joint at $2.00 with TAB
  • First Set: Joint at $1.80 with TAB (54% probability)

Today's Janice Tjen vs Maya Joint best bets are based on market-leading simulations and betting intelligence to provide you with the best possible advice 24/7/365.

Even though our predictive analytics model indicates that Tjen is more likely to win the match, taking Joint to win is the best option due to the edge we identified when comparing our data-led probabilities to the odds that are currently available.

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

And while Tjen is more likely to win the first set on this occassion, our recommended bet of Joint ($1.80) is based on the likelihood of that happening, per our model, and the betting odds currently available.

Tjen vs Joint: Prediction

Stats Insider provides full betting coverage of the Janice Tjen vs Maya Joint match at the WTA Abu Dhabi Open tournament, including data-driven predictions and expert tips.

Remember, our model updates regularly, so refresh this article for the latest betting analysis before the Tjen-Joint match at the WTA Abu Dhabi Open tournament.

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

Tjen vs Joint: WTA Abu Dhabi Open Essential Details

The 2026 WTA Abu Dhabi Open match between Janice Tjen and Maya Joint is scheduled to begin at 8:10pm AEDT.

  • Match: Janice Tjen vs Maya Joint
  • Date: Monday 2 February 2026
  • Approx. Time: 8:10pm AEDT
  • Event: WTA Abu Dhabi, UAE Women's Singles 2026
  • Round: Round of 32

All dates and times mentioned in this article are in Australian Eastern Daylight Time (AEDT), unless otherwise stated.

Conclusion

Our Janice Tjen vs Maya Joint predictions have been made based on 10,000 data-driven simulations of the game, all curated by our team of expert data scientists and analysts. We use cutting-edge technology and machine learning to ensure our tennis tips are trustworthy and reliable, so that you can make informed decisions with confidence.

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 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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