Hubert Hurkacz vs. Karen Khachanov prediction, odds, picks for ATP China Open 2026

Using trusted machine learning and data, we have re-simulated the outcome of Saturday's Hurkacz-Khachanov men's singles match, forming part of our tennis predictions coverage.

Our leading predictive model gives Khachanov a 56% chance of winning against Hurkacz at the ATP China Open tournament. Additionally, Khachanov has a 54% chance of winning the first set, while the under 25.5 games has a 59% 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: Karen Khachanov -128, Hubert Hurkacz +120
• First Set: Hurkacz +110, Khachanov -139

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 current 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: Khachanov @ -128 via DraftKings
• First Set: Khachanov @ -120 via DraftKings

According to our tennis best bets, the top play to make on this match is Karen Khachanov to win the first set.

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

Game info & first serve details

The ATP China Open match between Hubert Hurkacz and Karen Khachanov is scheduled to start on Saturday at 11:00 PM ET.

• Who: Hubert Hurkacz vs. Karen Khachanov
• Date: Saturday, October 3, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: ATP Beijing, China Men's Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Karen Khachanov, with a 56% win probability, will likely beat Hubert Hurkacz at the ATP 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.