Dalibor Svrcina vs. Tomas Martin Etcheverry prediction, odds, picks for ATP Shanghai Masters 2026

Using innovative machine learning and data, we have re-simulated the outcome of Saturday's Svrcina-Etcheverry men's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Etcheverry a 53% chance of defeating Svrcina at the ATP Shanghai Masters tournament.

Latest betting odds

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

• Moneyline: Tomas Etcheverry -137, Dalibor Svrcina +121

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: Svrcina @ +121 via DraftKings
• First Set: Etcheverry @ -130 via DraftKings

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

Although Svrcina 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 Shanghai Masters match between Dalibor Svrcina and Tomas Martin Etcheverry is scheduled to commence on Saturday at 12:00 AM ET.

• Who: Dalibor Svrcina vs. Tomas Martin Etcheverry
• Date: Saturday, October 10, 2026
• Approx. Time: 12:00 AM ET/9:00PM PT
• Tournament: ATP Shanghai, China Men's Singles 2026
• Round: Round of 64

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

Conclusion

We predict Tomas Etcheverry, with a 53% win probability, will likely beat Dalibor Svrcina 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.