Mariano Navone vs. Juan Manuel Cerundolo prediction, odds, picks for ATP European Open 2026

Using innovative machine learning and statistical analysis, we have re-simulated the outcome of Sunday's Navone-Cerundolo men's singles match, forming part of our tennis predictions coverage.

Our leading predictive model gives Navone a 55% chance of defeating Cerundolo at the ATP European Open tournament.

Latest betting odds

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

• Moneyline: Juan Cerundolo +128, Mariano Navone -156

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: Cerundolo @ +128 via DraftKings
• First Set: Cerundolo @ -120 via DraftKings

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

Although Cerundolo 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 European Open match between Mariano Navone and Juan Manuel Cerundolo is scheduled to commence on Sunday at 6:30 AM ET.

• Who: Mariano Navone vs. Juan Manuel Cerundolo
• Date: Sunday, October 18, 2026
• Approx. Time: 6:30 AM ET/3:30AM PT
• Tournament: ATP Brussels, Belgium Singles 2026
• Round: Round of 32

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

Conclusion

We predict Mariano Navone, with a 55% win probability, will likely beat Juan Cerundolo at the ATP European 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.