World number 14 Tommy Paul has opened up after seeing Spain’s
tennis star Carlos Alcaraz on a late-night meal but did not find any animosity
between the two.
Both recently took part in the recently concluded ATP 1000
event in Indian Wells. Paul was recently quoted in a report where he revealed how
Alcaraz did not show any animosity towards him when the two were present at a late-night
dinner.
"We finished late that day, but the tournament kept a
restaurant open so we could get a late-night meal,” he said. “And it was funny
— Alcaraz also showed up at the restaurant 20 minutes later. He was waving at
us, and smiling as he went upstairs.
“I remember thinking he probably had much more fun than I
did, because I had to play the next day. But also, there was no animosity from
him either way: guys at the top of their game are that way."
Paul ended up playing in the semifinal of the competition
where he was knocked out after losing to the current world number three Daniil Medvedev
with a score of 1-6, 7-6, 6-2.
On the other hand,
Alcaraz ended up lifting the title as he defeated Medvedev in the final in
straight sets with a score of 7-6, 6-1.
Azeem Siddiqui is a seasoned sports journalist and data analyst with a strong background in both digital media and live sports production.
He began his journalism career working with partners of The New York Times and has since contributed to several leading international sports publications, including Fox Sports Asia, Calciomercato, and GiveMeSport. Since 2023, Azeem has been part of the TennisUpToDate team, where he has played a key role in sustaining the platform’s growth and ensuring tennis fans receive timely and reliable coverage of the sport’s biggest stories.
In addition to his editorial work, Azeem has extensive experience as a data analyst in live sports broadcasting—particularly in cricket—where he combines analytical precision with creative storytelling. He has collaborated with multiple production companies and cricket boards worldwide, delivering real-time insights and data-driven narratives during live match coverage.