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Zachary Svajda vs Frances Tiafoe Prediction - ATP Delray Beach Open 2026

Zachary Svajda will face Frances Tiafoe in the round of 16 at the 2026 ATP Delray Beach Open tournament on Friday.

This article features Stats Insider's best betting tips for the Svajda vs Tiafoe match, plus the latest betting odds in Australia.

Who Will Win?

Utilising trusted machine learning and data, Stats Insider has simulated the result of Friday's Svajda-Tiafoe men's singles match 10,000 times.

Our independent predictive analytics model currently gives Tiafoe a 59% chance of winning against Svajda at the ATP Delray Beach Open tournament.

Svajda vs Tiafoe: Odds

The current betting odds in Australia for Friday's ATP Delray Beach Open match between Svajda and Tiafoe are listed here:

  • Head to Head: Svajda $2.50, Tiafoe $1.53
  • First Set: Svajda $2.37, Tiafoe $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 Svajda at $2.50 and Tiafoe at $1.53.

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

Svajda vs Tiafoe: Betting Tips

  • Head to Head: Svajda at $2.50 with TAB
  • First Set: Tiafoe at $1.90 with TAB (51% probability)

Our Zachary Svajda vs Frances Tiafoe betting tips are based on detailed modelling and gambling expertise to bring you the best possible advice every time.

Even though our predictive analytics model indicates that Tiafoe is more likely to win the match, taking Svajda to win is the best option because of the 1.3% edge we found when comparing our data-led probabilities to the odds that are currently available.

Taking advantage of the edges seen on Stats Insider is crucial to being profitable over the long run.

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

Svajda vs Tiafoe: Prediction

Stats Insider provides full coverage of the Zachary Svajda vs Frances Tiafoe match at the ATP Delray Beach Open tournament, including data-driven predictions and expert tips.

Our model updates regularly, so refresh this article for the latest betting predictions before the Svajda-Tiafoe match at the ATP Delray Beach Open event.

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

Svajda vs Tiafoe: ATP Delray Beach Open Essential Details

The 2026 ATP Delray Beach Open match between Zachary Svajda and Frances Tiafoe is scheduled to begin at 7:00am AEDT.

  • Match: Zachary Svajda vs Frances Tiafoe
  • Date: Friday 20 February 2026
  • Approx. Time: 7:00am AEDT
  • Event: ATP Delray Beach, USA Men's Singles 2026
  • Round: Round of 16

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

Conclusion

Our Zachary Svajda vs Frances Tiafoe predictions are the result of 10,000 data-driven simulations of the game, carefully 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 crucial that you 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 go-to source 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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