Martin Damm vs. Francisco Cerundolo prediction, odds, picks for ATP European Open 2026

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

Our leading predictive model currently gives Cerundolo a 62% chance of beating Damm at the ATP European Open tournament. Additionally, Cerundolo has a 59% chance of winning the first set, while the under 24.5 games has a 59% chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Francisco Cerundolo -218, Martin Damm +176
• First Set: Damm +150, Cerundolo -189

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: Damm @ +176 via DraftKings
• First Set: Cerundolo @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Martin Damm to win the first set.

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 Martin Damm and Francisco Cerundolo is scheduled to start on Wednesday at 5:30 AM ET.

• Who: Martin Damm vs. Francisco Cerundolo
• Date: Wednesday, October 21, 2026
• Approx. Time: 5:30 AM ET/2:30 AM PT
• Tournament: ATP Brussels, Belgium Singles 2026
• Round: Round of 16

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

Conclusion

We predict Francisco Cerundolo, with a 62% win probability, will likely beat Martin Damm 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.