Daniil Medvedev vs. Stefanos Tsitsipas prediction, odds, picks for ATP Shanghai Masters 2026

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

Our famous predictive model currently gives Medvedev a 65% chance of beating Tsitsipas 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: Stefanos Tsitsipas +176, Daniil Medvedev -215

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: Tsitsipas @ +176 via DraftKings
• First Set: Tsitsipas @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Stefanos Tsitsipas 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 Shanghai Masters match between Daniil Medvedev and Stefanos Tsitsipas is scheduled to commence on Wednesday at 12:00 AM ET.

• Who: Daniil Medvedev vs. Stefanos Tsitsipas
• Date: Wednesday, October 14, 2026
• Approx. Time: 12:00 AM ET/9:00PM PT
• Tournament: ATP Shanghai, China Men's Singles 2026
• Round: Round of 16

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

Conclusion

We predict Daniil Medvedev, with a 65% win probability, will likely beat Stefanos Tsitsipas 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.