Leolia Jeanjean vs. Kaitlin Quevedo prediction, odds, picks for WTA Sao Paulo 2026

Using powerful machine learning and data analysis, we have re-simulated the outcome of Monday's Jeanjean-Quevedo women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Jeanjean a 54% chance of defeating Quevedo at the WTA Sao Paulo tournament. Additionally, Jeanjean has a 53% chance of winning the first set, while the over 21.5 games has a 51% 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: Kaitlin Quevedo +103, Leolia Jeanjean -111
• First Set: Jeanjean -111, Quevedo -111

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: Jeanjean @ -111 via DraftKings
• First Set: Quevedo @ -120 via DraftKings

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

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

Game info & first serve details

The WTA Sao Paulo match between Leolia Jeanjean and Kaitlin Quevedo is scheduled to start on Monday at 9:00 AM ET.

• Who: Leolia Jeanjean vs. Kaitlin Quevedo
• Date: Monday, September 14, 2026
• Approx. Time: 9:00 AM ET/6:00AM PT
• Tournament: WTA Sao Paulo, Brazil Women's, Singles 2026
• Round: Round of 32

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

Conclusion

We predict Leolia Jeanjean, with a 54% win probability, will likely beat Kaitlin Quevedo at the WTA Sao Paulo 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.