Quentin Halys vs. Coleman Wong prediction, odds, picks for ATP Shanghai Masters 2026
Get Halys vs Wong predictions for ATP Shanghai Masters.

Quentin Halys and Coleman Wong will meet in the round of 128 of the ATP Shanghai Masters event on Wednesday.
Dimers' advanced tennis model projects Quentin Halys as the most likely winner in this Halys vs. Wong prediction.
This article offers further insights into Wednesday's match, including best bets and picks.
Halys vs. Wong prediction and odds
Our leading predictive model gives Halys a 53% chance of beating Wong at the ATP Shanghai Masters tournament.
Latest betting odds
We have sourced the most up-to-date betting odds in America for this match, which are listed here:
- Moneyline: Coleman Wong +115, Quentin Halys -128
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: Wong @ +115 via DraftKings
- First Set: Wong @ -135 via DraftKings
According to our tennis best bets, the top play to make on this match is Coleman Wong 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 Shanghai Masters match between Quentin Halys and Coleman Wong is scheduled to start on Wednesday at 3:30 AM ET.
- Who: Quentin Halys vs. Coleman Wong
- Date: Wednesday, October 7, 2026
- Approx. Time: 3:30 AM ET/12:30AM PT
- Tournament: ATP Shanghai, China Men's Singles 2026
- Round: Round of 128
All dates and times mentioned in this article are United States Eastern Time unless otherwise stated.
Conclusion
We predict Quentin Halys, with a 53% win probability, will likely beat Coleman Wong at the ATP Shanghai Masters 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.



