Benjamin Bonzi vs. Cameron Norrie prediction, odds, picks for ATP Lyon Open 2026

Using innovative machine learning and data analysis, we have re-simulated the outcome of Monday's Bonzi-Norrie men's singles match, forming part of our tennis predictions coverage.

Our independent predictive model gives Norrie a 61% chance of winning against Bonzi at the ATP Lyon Open tournament. Additionally, Norrie has a 58% chance of winning the first set, while the under 23.5 games has a 55% 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: Cameron Norrie -175, Benjamin Bonzi +170
• First Set: Bonzi +150, Norrie -189

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 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: Bonzi @ +170 via DraftKings
• First Set: Norrie @ -135 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 Benjamin Bonzi and Cameron Norrie is scheduled to start on Monday at 5:00 AM ET.

• Who: Benjamin Bonzi vs. Cameron Norrie
• Date: Monday, October 19, 2026
• Approx. Time: 5:00 AM ET/2:00AM PT
• Tournament: ATP Lyon, France Men's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Cameron Norrie, with a 61% win probability, will likely beat Benjamin Bonzi 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.