Ben Shelton vs. Arthur Gea prediction, odds, picks for ATP Shanghai Masters 2026

Using trusted machine learning and data analysis, we have re-simulated the outcome of Sunday's Shelton-Gea men's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Shelton a 74% chance of beating Gea at the ATP Shanghai Masters tournament. Additionally, Shelton has a 69% chance of winning the first set. The simulations also show Shelton (-3.5) has a 53% chance of covering the games spread, while the under 23.5 games has a 61% 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: Arthur Gea +241, Ben Shelton -285
• First Set: Shelton -227, Gea +175

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: Shelton @ -285 via DraftKings
• First Set: Gea @ -135 via DraftKings

According to our best tennis bets, the top play to make on this match is over 23.5 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 Shanghai Masters match between Ben Shelton and Arthur Gea is scheduled to start on Sunday at 12:00 AM ET.

• Who: Ben Shelton vs. Arthur Gea
• Date: Sunday, October 11, 2026
• Approx. Time: 12:00 AM ET/9:00PM PT
• Tournament: ATP Shanghai, China Men's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Ben Shelton, with a 74% win probability, will likely beat Arthur Gea at the ATP Shanghai Masters 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.