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Sloane Stephens vs Tatjana Maria Prediction - WTA Linz Open 2026

Sloane Stephens will take on Tatjana Maria in the round of 32 at the 2026 WTA Linz Open tournament on Tuesday.

This article features Stats Insider's top betting tips for the Stephens vs Maria match, plus the latest betting odds in Australia.

Who Will Win?

Based on trusted machine learning and data, Stats Insider has simulated the outcome of Tuesday's Stephens-Maria women's singles match 10,000 times.

Our proven predictive analytics model currently gives Stephens a 56% chance of defeating Maria at the WTA Linz Open tournament.

Stephens vs Maria: Odds

The latest betting odds in Australia for Tuesday's WTA Linz Open match between Stephens and Maria are listed here:

  • Head to Head: Stephens $1.66, Maria $2.20
  • First Set: Stephens $1.80, Maria $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 Stephens at $1.66 and Maria at $2.20.

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

Stephens vs Maria: Betting Tips

  • Head to Head: Maria at $2.20 with TAB
  • First Set: Maria at $1.83 with TAB (51% probability)

Stats Insider's Sloane Stephens vs Tatjana Maria predictions are based on complex modelling and betting intelligence to provide you with the best possible advice 24/7.

Even though our predictive analytics model suggests that Stephens is more likely to win the match, betting on Maria to win is our preferred option due to the edge we found when comparing our data-led probabilities to the odds that are currently available.

Taking advantage of the edges published on Stats Insider is one of the keys to being a profitable sports bettor over the long run.

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

Stephens vs Maria: Prediction

Stats Insider provides full betting coverage of the Sloane Stephens vs Tatjana Maria match at the WTA Linz Open tournament, including data-driven predictions and free tips.

Our model updates frequently, so keep checking this article for the latest betting analysis before the Stephens-Maria match at the WTA Linz Open tournament.

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

Stephens vs Maria: WTA Linz Open Essential Details

The 2026 WTA Linz Open match between Sloane Stephens and Tatjana Maria is scheduled to begin at 2:00am AEST.

  • Match: Sloane Stephens vs Tatjana Maria
  • Date: Tuesday 7 April 2026
  • Approx. Time: 2:00am AEST
  • Event: WTA Linz, Austria Women's Singles 2026
  • Round: Round of 32

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

Conclusion

Our Sloane Stephens vs Tatjana Maria 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 the latest in predictive analytics technology and machine learning to ensure our tennis tips are trustworthy and reliable, giving you the knowledge you need to make informed decisions with confidence.

If you decide to use our predictions for betting purposes, it's crucial that you gamble responsibly and know when to stop. 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, tips 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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