Sebastian Baez vs. Jenson Brooksby prediction, odds, picks for ATP Chengdu Open 2026

Using powerful machine learning and data, we have re-simulated the result of Wednesday's Baez-Brooksby men's singles match, forming part of our tennis predictions coverage.

Our independent predictive model gives Brooksby a 52% chance of defeating Baez at the ATP Chengdu 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: Jenson Brooksby -146, Sebastian Baez +120

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: Baez @ +120 via DraftKings
• First Set: Brooksby @ -140 via DraftKings

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

Although Baez is less than likely to win, he 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 ATP Chengdu Open match between Sebastian Baez and Jenson Brooksby is scheduled to begin on Wednesday at 1:00 AM ET.

• Who: Sebastian Baez vs. Jenson Brooksby
• Date: Wednesday, September 23, 2026
• Approx. Time: 1:00 AM ET/10:00PM PT
• Tournament: ATP Chengdu, China Men'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 Jenson Brooksby, with a 52% win probability, will likely beat Sebastian Baez at the ATP Chengdu 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.