Jerome Kym vs. Jiri Lehecka prediction, odds, picks for ATP Swiss Indoors 2026

Using innovative machine learning and data, we have re-simulated the result of Friday's Kym-Lehecka men's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Lehecka a 72% chance of beating Kym at the ATP Swiss Indoors tournament. Additionally, Lehecka has a 67% chance of winning the first set, while the under 23.5 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: Jiri Lehecka -303, Jerome Kym +240
• First Set: Kym +175, Lehecka -227

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: Kym @ +240 via DraftKings
• First Set: Lehecka @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Jerome Kym 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 Swiss Indoors match between Jerome Kym and Jiri Lehecka is scheduled to start on Friday at 1:00 PM ET.

• Who: Jerome Kym vs. Jiri Lehecka
• Date: Friday, October 30, 2026
• Approx. Time: 1:00 PM ET/10:00 AM PT
• Tournament: ATP Basel, Switzerland Men's Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Jiri Lehecka, with a 72% win probability, will likely beat Jerome Kym at the ATP Swiss Indoors 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.