Flavio Cobolli vs. Grigor Dimitrov prediction, odds, picks for ATP Vienna Open 2026

Using trusted machine learning and data, we have re-simulated the result of Monday's Cobolli-Dimitrov men's singles match, forming part of our tennis predictions coverage.

Our leading predictive model currently gives Cobolli a 57% chance of winning against Dimitrov at the ATP Vienna 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: Grigor Dimitrov +168, Flavio Cobolli -179

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: Dimitrov @ +168 via DraftKings
• First Set: Dimitrov @ -140 via DraftKings

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

Although Dimitrov 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 Vienna Open match between Flavio Cobolli and Grigor Dimitrov is scheduled to begin on Monday at 8:00 AM ET.

• Who: Flavio Cobolli vs. Grigor Dimitrov
• Date: Monday, October 26, 2026
• Approx. Time: 8:00 AM ET/5:00 AM PT
• Tournament: ATP Vienna, Austria Men's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Flavio Cobolli, with a 57% win probability, will likely beat Grigor Dimitrov at the ATP Vienna 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.