US Open: Medvedev chews gum through straight-sets win, saying he may have watched too much baseball
Translated from Chinese and summarized by DistantNews. Read the original for the full story.
At a glance
- Daniil Medvedev defeated France’s Hugo Gaston 6-4, 6-2, 6-4 to reach the second round of the 2026 US Open.
- Medvedev said he chewed gum because his mouth felt dry and joked that he may have watched too much baseball.
- The 2021 US Open champion will next face the winner of Sebastian Gorzny’s match against Raphael Collignon.
Daniil Medvedev brought an unusual habit to his opening match at the 2026 US Open: he kept chewing gum during changeovers. The Russian former world No. 1 said his mouth felt dry and that drinking water did not help.
Maybe I watched too much baseball.
“Maybe I watched too much baseball,” Medvedev said after beating Hugo Gaston 6-4, 6-2, 6-4. He explained that baseball players often chew gum, and he decided to copy them after a run of losses.
The tactic accompanied a much more conventional result. Medvedev, who won his only Grand Slam title at Flushing Meadows in 2021, avoided a repeat of last year’s shock first-round exit by completing a straight-sets victory over the French player.
I don't know either. My mouth was very dry, and drinking water didn't really help, so the only way was chewing gum.
The 30-year-old will play the winner of the match between American wildcard Sebastian Gorzny and Belgium’s Raphael Collignon. Medvedev had recently suffered a surprise defeat in the last 32 at the ATP 250 Winston-Salem Open and joked that he might take up pickleball.
I kept losing, so I thought I would learn from baseball players and make a small change.
He said tennis remained a full-time job, despite the demands of the sport. “I think until 37 and a half I will be very happy to play tennis,” he said, adding that the rest would depend on what life brought.
I think until 37 and a half I will be very happy to play tennis.
Originally published by Liberty Times in Chinese. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.