Thiago Agustin Tirante vs. Jan-Lennard Struff prediction, odds, picks for ATP Paris Masters 2026

Using powerful machine learning and data, we have re-simulated the outcome of Wednesday's Tirante-Struff men's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Struff a 62% chance of defeating Tirante at the ATP Paris Masters tournament.

Latest betting odds

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

• Moneyline: Jan-Lennard Struff -227, Thiago Tirante +190

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 current 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: Tirante @ +190 via DraftKings
• First Set: Struff @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Thiago Tirante to win.

Although Tirante is less than likely to win, he provides the best value at the current available odds.

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 Thiago Agustin Tirante and Jan-Lennard Struff is scheduled to commence on Wednesday at 10:00 AM ET.

• Who: Thiago Agustin Tirante vs. Jan-Lennard Struff
• Date: Wednesday, November 4, 2026
• Approx. Time: 10:00 AM ET/7:00 AM PT
• Tournament: ATP Paris, France Men's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Jan-Lennard Struff, with a 62% win probability, will likely beat Thiago Tirante 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.