Tommy Paul vs. Adolfo Daniel Vallejo prediction, odds, picks for ATP Shanghai Masters 2026

Using powerful machine learning and data, we have re-simulated the result of Saturday's Paul-Vallejo men's singles match, forming part of our tennis predictions coverage.

Our independent predictive model gives Paul a 63% chance of winning against Vallejo at the ATP Shanghai Masters tournament.

Latest betting odds

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

• Moneyline: Adolfo Vallejo +176, Tommy Paul -208

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 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: Vallejo @ +176 via DraftKings
• First Set: Vallejo @ -105 via DraftKings

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

Although Vallejo 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 Tommy Paul and Adolfo Daniel Vallejo is scheduled to commence on Saturday at 12:00 AM ET.

• Who: Tommy Paul vs. Adolfo Daniel Vallejo
• Date: Saturday, October 10, 2026
• Approx. Time: 12:00 AM ET/9:00PM PT
• Tournament: ATP Shanghai, China Men's Singles 2026
• Round: Round of 64

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

Conclusion

We predict Tommy Paul, with a 63% win probability, will likely beat Adolfo Vallejo 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.