Hugo Gaston vs. Andrey Rublev prediction, odds, picks for ATP Hangzhou Open 2026

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

Our famous predictive model currently gives Rublev a 76% chance of winning against Gaston 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: Andrey Rublev -380, Hugo Gaston +300

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: Gaston @ +300 via DraftKings
• First Set: Rublev @ -150 via DraftKings

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

Although Gaston 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 Hugo Gaston and Andrey Rublev is scheduled to begin on Sunday at 1:30 AM ET.

• Who: Hugo Gaston vs. Andrey Rublev
• Date: Sunday, September 27, 2026
• Approx. Time: 1:30 AM ET/10:30PM PT
• Tournament: ATP Hangzhou, China Men's Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Andrey Rublev, with a 76% win probability, will likely beat Hugo Gaston 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.