Borna Gojo vs. Daniel Altmaier prediction, odds, picks for ATP Lyon Open 2026
Get Gojo vs Altmaier predictions for ATP Lyon Open.

Borna Gojo will face Daniel Altmaier in the round of 16 at the ATP Lyon event on Thursday.
Dimers' proven tennis model projects Borna Gojo as the most likely winner in this Gojo vs. Altmaier prediction.
This article offers further insights into Thursday's match, including best bets and picks.
Gojo vs. Altmaier prediction and odds
Our famous predictive model currently gives Gojo a 51% chance of defeating Altmaier at the ATP Lyon 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: Daniel Altmaier -103, Borna Gojo -110
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: Gojo @ -110 via DraftKings
- First Set: Altmaier @ -125 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 Lyon Open match between Borna Gojo and Daniel Altmaier is scheduled to commence on Thursday at 6:00 AM ET.
- Who: Borna Gojo vs. Daniel Altmaier
- Date: Thursday, October 22, 2026
- Approx. Time: 6:00 AM ET/3:00 AM PT
- Tournament: ATP Lyon, France Men's Singles 2026
- Round: Round of 16
All dates and times mentioned in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Borna Gojo, with a 51% win probability, will likely beat Daniel Altmaier at the ATP Lyon 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.



