Daniel Altmaier vs. Taylor Fritz prediction, odds, picks for ATP Lyon Open 2026

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

Our leading predictive model currently gives Fritz a 79% chance of defeating Altmaier at the ATP Lyon Open tournament. Additionally, Fritz has a 72% chance of winning the first set, while the under 22.5 games has a 57% 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: Taylor Fritz -455, Daniel Altmaier +360
• First Set: Altmaier +240, Fritz -303

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: Altmaier @ +360 via DraftKings
• First Set: Fritz @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Daniel Altmaier 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 Daniel Altmaier and Taylor Fritz is scheduled to begin on Friday at 9:10 AM ET.

• Who: Daniel Altmaier vs. Taylor Fritz
• Date: Friday, October 23, 2026
• Approx. Time: 9:10 AM ET/6:10 AM PT
• Tournament: ATP Lyon, France Men's Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Taylor Fritz, with a 79% win probability, will likely beat Daniel Altmaier at the ATP Lyon Open tournament.

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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.