Aleksandar Kovacevic vs. Matteo Berrettini prediction, odds, picks for ATP Shanghai Masters 2026

Using trusted machine learning and statistical analysis, we have re-simulated the result of Wednesday's Kovacevic-Berrettini men's singles match, forming part of our tennis predictions coverage.

Our independent predictive model currently gives Berrettini a 67% chance of winning against Kovacevic 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: Matteo Berrettini -222, Aleksandar Kovacevic +185

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: Kovacevic @ +185 via DraftKings
• First Set: Berrettini @ -135 via DraftKings

According to our tennis best bets, the top play to make on this match is Aleksandar Kovacevic 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 Aleksandar Kovacevic and Matteo Berrettini is scheduled to start on Wednesday at 12:00 AM ET.

• Who: Aleksandar Kovacevic vs. Matteo Berrettini
• Date: Wednesday, October 7, 2026
• Approx. Time: 12:00 AM ET/9:00PM PT
• Tournament: ATP Shanghai, China Men's Singles 2026
• Round: Round of 128

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

Conclusion

We predict Matteo Berrettini, with a 67% win probability, will likely beat Aleksandar Kovacevic 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.