Yunchaokete Bu vs. Michael Zheng prediction, odds, picks for ATP Hangzhou Open 2026

Using innovative machine learning and data, we have re-simulated the outcome of Wednesday's Bu-Zheng men's singles match, forming part of our tennis predictions coverage.

Our independent predictive model currently gives Zheng a 55% chance of winning against Bu at the ATP Hangzhou Open tournament.

Latest betting odds

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

• Moneyline: Michael Zheng -146, Yunchaokete Bu +134

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: Bu @ +134 via DraftKings
• First Set: Zheng @ -140 via DraftKings

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

Although Bu 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 Hangzhou Open match between Yunchaokete Bu and Michael Zheng is scheduled to start on Wednesday at 12:00 AM ET.

• Who: Yunchaokete Bu vs. Michael Zheng
• Date: Wednesday, September 23, 2026
• Approx. Time: 12:00 AM ET/9:00PM PT
• Tournament: ATP Hangzhou, China Men's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Michael Zheng, with a 55% win probability, will likely beat Yunchaokete Bu at the ATP Hangzhou 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.