Fajing Sun vs. Roman Safiullin prediction, odds, picks for ATP Hangzhou Open 2026

Using powerful machine learning and statistical analysis, we have re-simulated the result of Thursday's Sun-Safiullin men's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Safiullin a 76% chance of winning against Sun at the ATP Hangzhou Open tournament. Additionally, Safiullin has a 71% chance of winning the first set. The simulations also show Sun (+4.5) has a 53% chance of covering the games spread, while the **over/under of 21.5 games has an equal 50-50 chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Roman Safiullin -400, Fajing Sun +380
• First Set: Sun +240, Safiullin -303

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: Sun @ +380 via DraftKings
• First Set: Safiullin @ -110 via DraftKings

According to our tennis best bets, the top play to make on this match is over 21.5 total games.

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 Fajing Sun and Roman Safiullin is scheduled to begin on Thursday at 4:30 AM ET.

• Who: Fajing Sun vs. Roman Safiullin
• Date: Thursday, September 24, 2026
• Approx. Time: 4:30 AM ET/1:30AM 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 stated.

Conclusion

We predict Roman Safiullin, with a 76% win probability, will likely beat Fajing Sun at the ATP Hangzhou Open tournament.

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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.