Luca Van Assche vs. Learner Tien prediction, odds, picks for ATP Vienna Open 2026

Using powerful machine learning and data, we have re-simulated the outcome of Monday's Van Assche-Tien men's singles match, forming part of our tennis predictions coverage.

Our leading predictive model currently gives Tien a 70% chance of beating Van Assche at the ATP Vienna Open tournament.

Latest betting odds

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

• Moneyline: Learner Tien -303, Luca Van Assche +247

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: Van Assche @ +247 via DraftKings
• First Set: Tien @ -150 via DraftKings

According to our tennis best bets, the top play to make on this match is Luca Van Assche to win.

Although Van Assche 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 Luca Van Assche and Learner Tien is scheduled to begin on Monday at 8:00 AM ET.

• Who: Luca Van Assche vs. Learner Tien
• 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 Learner Tien, with a 70% win probability, will likely beat Luca Van Assche 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.