Nuno Borges vs. Camilo Ugo Carabelli prediction, odds, picks for ATP Chengdu Open 2026

Using powerful machine learning and data, we have re-simulated the result of Wednesday's Borges-Ugo Carabelli men's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Borges an 80% chance of beating Ugo Carabelli at the ATP Chengdu Open tournament.

Latest betting odds

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

• Moneyline: Camilo Ugo Carabelli +459, Nuno Borges -625

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: Ugo Carabelli @ +459 via DraftKings
• First Set: Ugo Carabelli @ -140 via DraftKings

According to our best tennis bets, the top play to make on this match is Camilo Ugo Carabelli to win.

Although Ugo Carabelli 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 Chengdu Open match between Nuno Borges and Camilo Ugo Carabelli is scheduled to commence on Wednesday at 1:00 AM ET.

• Who: Nuno Borges vs. Camilo Ugo Carabelli
• Date: Wednesday, September 23, 2026
• Approx. Time: 1:00 AM ET/10:00PM PT
• Tournament: ATP Chengdu, China Men's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Nuno Borges, with an 80% win probability, will likely beat Camilo Ugo Carabelli at the ATP Chengdu Open 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.