Arthur Gea vs. Jaime Faria prediction, odds, picks for ATP Shanghai Masters 2026

Using trusted machine learning and statistical analysis, we have re-simulated the result of Wednesday's Gea-Faria men's singles match, forming part of our tennis predictions coverage.

Our independent predictive model currently gives Gea a 58% chance of winning against Faria at the ATP Shanghai Masters tournament.

Latest betting odds

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

• Moneyline: Jaime Faria +160, Arthur Gea -176

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Faria @ +160 via DraftKings
• First Set: Faria @ -140 via DraftKings

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

Although Faria 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 Shanghai Masters match between Arthur Gea and Jaime Faria is scheduled to begin on Wednesday at 12:00 AM ET.

• Who: Arthur Gea vs. Jaime Faria
• Date: Wednesday, October 7, 2026
• Approx. Time: 12:00 AM ET/9:00PM PT
• Tournament: ATP Shanghai, China Men's Singles 2026
• Round: Round of 128

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

Conclusion

We predict Arthur Gea, with a 58% win probability, will likely beat Jaime Faria 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.