Jacob Fearnley vs. Hugo Gaston prediction, odds, picks for ATP European Open 2026
Get Fearnley vs Gaston predictions for ATP European Open.

Jacob Fearnley will take on Hugo Gaston in the round of 32 at the ATP Brussels event on Sunday.
Dimers' advanced tennis model projects Jacob Fearnley as the most likely winner in this Fearnley vs. Gaston prediction.
This article offers an expanded analysis of Sunday's match, including best bets and picks.
Fearnley vs. Gaston prediction and odds
Our leading predictive model currently gives Fearnley a 70% chance of defeating Gaston at the ATP European Open tournament.
Latest betting odds
We have sourced the most up-to-date betting odds in America for this match, which are listed here:
- Moneyline: Hugo Gaston +209, Jacob Fearnley -263
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: Gaston @ +209 via DraftKings
- First Set: Gaston @ -120 via DraftKings
According to our tennis best bets, the top play to make on this match is Hugo Gaston 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 Jacob Fearnley and Hugo Gaston is scheduled to start on Sunday at 6:30 AM ET.
- Who: Jacob Fearnley vs. Hugo Gaston
- Date: Sunday, October 18, 2026
- Approx. Time: 6:30 AM ET/3:30AM PT
- Tournament: ATP Brussels, Belgium Singles 2026
- Round: Round of 32
All dates and times in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Jacob Fearnley, with a 70% win probability, will likely beat Hugo Gaston 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.



