Carole Monnet vs. Sloane Stephens prediction, odds, picks for WTA Guadalajara Open 2026

Using powerful machine learning and statistical analysis, we have re-simulated the result of Monday's Monnet-Stephens women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Stephens a 78% chance of defeating Monnet at the WTA Guadalajara Open tournament. Additionally, Stephens has a 73% chance of winning the first set, while the over 18.5 games has a 59% 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: Sloane Stephens -500, Carole Monnet +382
• First Set: Monnet +275, Stephens -357

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: Monnet @ +382 via DraftKings
• First Set: Stephens @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Carole Monnet 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 WTA Guadalajara Open match between Carole Monnet and Sloane Stephens is scheduled to begin on Monday at 3:00 PM ET.

• Who: Carole Monnet vs. Sloane Stephens
• Date: Monday, September 14, 2026
• Approx. Time: 3:00 PM ET/12:00PM PT
• Tournament: WTA Guadalajara, Mexico Women's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Sloane Stephens, with a 78% win probability, will likely beat Carole Monnet at the WTA Guadalajara Open 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.