Lorenzo Musetti vs. Taylor Fritz prediction, odds, picks for ATP Lyon Open 2026

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

Our famous predictive model gives Fritz a 63% chance of defeating Musetti at the ATP Lyon Open tournament. Additionally, Fritz has a 60% chance of winning the first set. The simulations also show that the oddsmakers have got it right with the -2.5 games spread, with each player projected to have a 50-50 chance of covering, while the under 23.5 games has a 56% chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Taylor Fritz -194, Lorenzo Musetti +175
• First Set: Musetti +162, Fritz -200

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Musetti @ +175 via DraftKings
• First Set: Fritz @ -130 via DraftKings

According to our tennis best bets, the top play to make on this match is over 23.5 total games.

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 Lorenzo Musetti and Taylor Fritz is scheduled to commence on Sunday at 9:30 AM ET.

• Who: Lorenzo Musetti vs. Taylor Fritz
• Date: Sunday, October 25, 2026
• Approx. Time: 9:30 AM ET/6:30 AM PT
• Tournament: ATP Lyon, France Men's Singles 2026
• Round: Final

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

Conclusion

We predict Taylor Fritz, with a 63% win probability, will likely beat Lorenzo Musetti 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.