Mariano Navone vs. Pablo Carreno Busta prediction, odds, picks for ATP Shanghai Masters 2026

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

Our famous predictive model gives Carreno Busta a 55% chance of winning against Navone 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: Pablo Carreno Busta -111, Mariano Navone +106

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: Carreno Busta @ -111 via DraftKings
• First Set: Carreno Busta @ -135 via DraftKings

According to our best tennis bets, the top play to make on this match is Pablo Carreno Busta to win.

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 Mariano Navone and Pablo Carreno Busta is scheduled to commence on Wednesday at 12:00 AM ET.

• Who: Mariano Navone vs. Pablo Carreno Busta
• 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 mentioned in this article are United States Eastern Time unless otherwise noted.

Conclusion

We predict Pablo Carreno Busta, with a 55% win probability, will likely beat Mariano Navone 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.