Martin Landaluce vs. Jan-Lennard Struff prediction, odds, picks for ATP Shanghai Masters 2026

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

Our independent predictive model currently gives Landaluce a 54% chance of winning against Struff at the ATP Shanghai Masters tournament.

Latest betting odds

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

• Moneyline: Jan-Lennard Struff -102, Martin Landaluce -118

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: Landaluce @ -118 via DraftKings
• First Set: Struff @ -130 via DraftKings

According to our tennis best bets, the top play to make on this match is Martin Landaluce 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 Martin Landaluce and Jan-Lennard Struff is scheduled to commence on Wednesday at 12:00 AM ET.

• Who: Martin Landaluce vs. Jan-Lennard Struff
• 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 in this article are United States Eastern Time unless otherwise stated.

Conclusion

We predict Martin Landaluce, with a 54% win probability, will likely beat Jan-Lennard Struff 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.