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

Hugo Gaston and Andrey Rublev are scheduled to meet in the quarterfinals of the ATP Hangzhou Open event on Sunday.
Dimers' proven tennis model projects Andrey Rublev as the most likely winner in this Gaston vs. Rublev prediction.
This article offers a closer look at Sunday's match, including best bets and picks.
Gaston vs. Rublev prediction and odds
Our independent predictive model gives Rublev a 76% chance of defeating 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 +299
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: Rublev @ -380 via DraftKings
- First Set: Rublev @ -150 via DraftKings
According to our tennis best bets, the top play to make on this match is Andrey Rublev 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 Hangzhou Open match between Hugo Gaston and Andrey Rublev is scheduled to commence 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 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.



