Kaitlin Quevedo vs. Sofia Kenin prediction, odds, picks for WTA Guangzhou Open 2026

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

Our leading predictive model currently gives Quevedo a 53% chance of beating Kenin at the WTA Guangzhou Open tournament. Additionally, Quevedo has a 52% chance of winning the first set, while the under 22.5 games has a 54% 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: Sofia Kenin +100, Kaitlin Quevedo -109
• First Set: Quevedo -125, Kenin +100

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: Quevedo @ -109 via DraftKings
• First Set: Kenin @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Kaitlin Quevedo 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 Guangzhou Open match between Kaitlin Quevedo and Sofia Kenin is scheduled to start on Monday at 11:00 PM ET.

• Who: Kaitlin Quevedo vs. Sofia Kenin
• Date: Monday, October 26, 2026
• Approx. Time: 11:00 PM ET/8:00 PM PT
• Tournament: WTA Guangzhou, China Women'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 Kaitlin Quevedo, with a 53% win probability, will likely beat Sofia Kenin at the WTA Guangzhou 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.