Borna Gojo vs. Ugo Humbert prediction, odds, picks for ATP Stockholm Open 2026

Using trusted machine learning and data, we have re-simulated the result of Wednesday's Gojo-Humbert men's singles match, forming part of our tennis predictions coverage.

Our independent predictive model gives Humbert a 66% chance of defeating Gojo at the ATP Stockholm Open tournament. Additionally, Humbert has a 61% chance of winning the first set, while the under 25.5 games has a 60% chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Ugo Humbert -219, Borna Gojo +198
• First Set: Gojo +162, Humbert -200

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: Gojo @ +198 via DraftKings
• First Set: Humbert @ -140 via DraftKings

According to our tennis best bets, the top play to make on this match is Borna Gojo 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 Stockholm Open match between Borna Gojo and Ugo Humbert is scheduled to start on Wednesday at 10:00 AM ET.

• Who: Borna Gojo vs. Ugo Humbert
• Date: Wednesday, November 11, 2026
• Approx. Time: 10:00 AM ET/7:00 AM PT
• Tournament: ATP Stockholm, Sweden 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 Ugo Humbert, with a 66% win probability, will likely beat Borna Gojo at the ATP Stockholm 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.