Arthur Fils vs. Jaume Munar prediction, odds, picks for ATP European Open 2026

Using trusted machine learning and data, we have re-simulated the result of Wednesday's Fils-Munar men's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Fils a 76% chance of beating Munar at the ATP European Open tournament. Additionally, Fils has a 71% chance of winning the first set, while the under 22.5 games has a 58% 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: Jaume Munar +280, Arthur Fils -357
• First Set: Fils -278, Munar +220

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: Munar @ +280 via DraftKings
• First Set: Munar @ -130 via DraftKings

According to our tennis best bets, the top play to make on this match is Jaume Munar 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 European Open match between Arthur Fils and Jaume Munar is scheduled to begin on Wednesday at 5:30 AM ET.

• Who: Arthur Fils vs. Jaume Munar
• Date: Wednesday, October 21, 2026
• Approx. Time: 5:30 AM ET/2:30 AM PT
• Tournament: ATP Brussels, Belgium Singles 2026
• Round: Round of 16

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

Conclusion

We predict Arthur Fils, with a 76% win probability, will likely beat Jaume Munar at the ATP European 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.