Alejandro Tabilo vs. Rafael Jodar prediction, odds, picks for ATP Paris Masters 2026

Using trusted machine learning and statistical analysis, we have re-simulated the outcome of Monday's Tabilo-Jodar men's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Jodar an 80% chance of beating Tabilo at the ATP Paris Masters tournament. Additionally, Jodar has a 74% chance of winning the first set, while the under 21.5 games has a 56% chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Rafael Jodar -444, Alejandro Tabilo +400
• First Set: Tabilo +300, Jodar -400

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: Tabilo @ +400 via DraftKings
• First Set: Jodar @ -120 via DraftKings

According to our tennis best bets, the top play to make on this match is Alejandro Tabilo 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 Alejandro Tabilo and Rafael Jodar is scheduled to commence on Monday at 5:00 AM ET.

• Who: Alejandro Tabilo vs. Rafael Jodar
• Date: Monday, November 2, 2026
• Approx. Time: 5:00 AM ET/2:00 AM PT
• Tournament: ATP Paris, France Men's Singles 2026
• Round: Round of 64

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

Conclusion

We predict Rafael Jodar, with an 80% win probability, will likely beat Alejandro Tabilo 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.