Coco Gauff vs. Elise Mertens prediction, odds, picks for WTA China Open 2026

Using innovative machine learning and statistical analysis, we have re-simulated the result of Tuesday's Gauff-Mertens women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model currently gives Gauff a 79% chance of defeating Mertens at the WTA China Open tournament. Additionally, Gauff has a 74% chance of winning the first set, while the over 20.5 games has a 51% chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Elise Mertens +350, Coco Gauff -410
• First Set: Gauff -357, Mertens +275

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Mertens @ +350 via DraftKings
• First Set: Mertens @ -105 via DraftKings

According to our best tennis bets, the top play to make on this match is over 20.5 total games.

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

Game info & first serve details

The WTA China Open match between Coco Gauff and Elise Mertens is scheduled to start on Tuesday at 11:00 PM ET.

• Who: Coco Gauff vs. Elise Mertens
• Date: Tuesday, October 6, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Beijing, China Women's Singles 2026
• Round: Round of 16

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

Conclusion

We predict Coco Gauff, with a 79% win probability, will likely beat Elise Mertens at the WTA China 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.