Ben Shelton vs. Arthur Rinderknech prediction, odds, picks for ATP Paris Masters 2026

Using powerful machine learning and data, we have re-simulated the result of Thursday's Shelton-Rinderknech men's singles match, forming part of our tennis predictions coverage.

Our independent predictive model gives Shelton a 77% chance of beating Rinderknech at the ATP Paris Masters tournament. Additionally, Shelton has a 72% chance of winning the first set, while the under 25.5 games has a 62% chance of hitting, according to our model.

Latest betting odds

We have sourced the most up-to-date betting odds in America for this match, which are listed here:

• Moneyline: Arthur Rinderknech +280, Ben Shelton -333
• First Set: Shelton -278, Rinderknech +220

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

Model picks and best bet

After matching our predictions against the best available odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

• Moneyline: Shelton @ -333 via DraftKings
• First Set: Rinderknech @ -135 via DraftKings

According to our tennis best bets, the top play to make on this match is Ben Shelton to win the first set.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & first serve details

The ATP Paris Masters match between Ben Shelton and Arthur Rinderknech is scheduled to commence on Thursday at 6:10 AM ET.

• Who: Ben Shelton vs. Arthur Rinderknech
• Date: Thursday, November 5, 2026
• Approx. Time: 6:10 AM ET/3:10 AM PT
• Tournament: ATP Paris, France Men's Singles 2026
• Round: Round of 16

All dates and times in this article are United States Eastern Time unless otherwise noted.

Conclusion

We predict Ben Shelton, with a 77% win probability, will likely beat Arthur Rinderknech at the ATP Paris Masters tournament.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary tennis prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.