Andrey Rublev vs. Roman Safiullin prediction, odds, picks for ATP China Open 2026

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

Our independent predictive model gives Rublev a 55% chance of beating Safiullin at the ATP China Open tournament. Additionally, Rublev has a 54% chance of winning the first set, while the under 25.5 games has a 62% 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: Roman Safiullin +134, Andrey Rublev -139
• First Set: Rublev -125, Safiullin +100

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: Safiullin @ +134 via DraftKings
• First Set: Safiullin @ -135 via DraftKings

According to our tennis best bets, the top play to make on this match is Roman Safiullin 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 Andrey Rublev and Roman Safiullin is scheduled to begin on Friday at 11:00 PM ET.

• Who: Andrey Rublev vs. Roman Safiullin
• Date: Friday, October 2, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: ATP Beijing, China Men's Singles 2026
• Round: Round of 16

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

Conclusion

We predict Andrey Rublev, with a 55% win probability, will likely beat Roman Safiullin 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.