Diane Parry vs. Peyton Stearns prediction, odds, picks for WTA Guadalajara Open 2026

Using innovative machine learning and data, we have re-simulated the result of Tuesday's Parry-Stearns women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model gives Stearns a 52% chance of beating Parry at the WTA Guadalajara Open tournament.

Latest betting odds

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

• Moneyline: Peyton Stearns -118, Diane Parry +105

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: Parry @ +105 via DraftKings
• First Set: Stearns @ -125 via DraftKings

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

Although Parry is less than likely to win, she 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 WTA Guadalajara Open match between Diane Parry and Peyton Stearns is scheduled to begin on Tuesday at 7:00 PM ET.

• Who: Diane Parry vs. Peyton Stearns
• Date: Tuesday, September 15, 2026
• Approx. Time: 7:00 PM ET/4:00PM PT
• Tournament: WTA Guadalajara, Mexico Women'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 Peyton Stearns, with a 52% win probability, will likely beat Diane Parry 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.