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Ben Shelton vs Tommy Paul Prediction - ATP Paris Masters 2026

Ben Shelton will take on Tommy Paul in the quarter-finals at the 2026 ATP Paris Masters tournament on Saturday.

This article features Stats Insider's prediction and tips for the Shelton vs Paul match, as well as the latest betting odds in Australia.

Who Will Win?

Using trusted computer power and data, Stats Insider has simulated the result of Saturday's Shelton-Paul men's singles match 10,000 times.

Our leading predictive analytics model currently gives Paul a 53% chance of defeating Shelton at the ATP Paris Masters tournament.

Shelton vs Paul: Odds

The current betting odds in Australia for Saturday's ATP Paris Masters match between Shelton and Paul are shown here:

  • Head to Head: Shelton $2.10, Paul $1.72
  • First Set: Shelton $2.00, Paul $1.80

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

Looking at the latest head-to-head odds, TAB currently has Shelton at $2.10 and Paul at $1.72.

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

Shelton vs Paul: Best Bets

  • Head to Head: Shelton at $2.10 with TAB
  • First Set: Paul at $1.83 with TAB (54% probability)

These Ben Shelton vs Tommy Paul best bets are based on world-class modelling and betting expertise to help you place smarter bets with your chosen online bookie.

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

Taking advantage of the edges seen here at Stats Insider is pivotal to achieving long-term profitability as a bettor.

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

Shelton vs Paul: Prediction

Stats Insider provides full betting coverage of the Ben Shelton vs Tommy Paul match at the ATP Paris Masters tournament, including data-driven predictions and live win probabilitiestips.

Our model updates regularly, so bookmark this page for the latest betting predictions before the Shelton-Paul match at the ATP Paris Masters event.

As always, see our Best Bets for the best tips for every tennis match, as well as predictions for a wide range of other sports.

Shelton vs Paul: ATP Paris Masters Essential Details

The 2026 ATP Paris Masters match between Ben Shelton and Tommy Paul is scheduled to commence at 12:00am AEDT.

  • Match: Ben Shelton vs Tommy Paul
  • Date: Saturday 7 November 2026
  • Approx. Time: 12:00am AEDT
  • Event: ATP Paris, France Men's Singles 2026
  • Round: Quarter-finals

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

Conclusion

Our Ben Shelton vs Tommy Paul predictions are based on 10,000 data-driven simulations of the game, all curated by our team of experienced 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 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 go-to source for betting on tennis in Australia, with the latest tennis betting news, tips 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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