Football star Erling Haaland has revealed reasons behind admiration
for the legendary tennis star Novak Djokovic.
The 36-year-old is often regarded as the greatest player in
the history of men’s tennis in the singles category in the Open era, having won
as many as 24 Grand Slam titles.
Haaland, who currently plays for English Premier League side
Manchester City, was recently quoted in a report where he highlighted reasons
behind admiration for Djokovic.
“I’ve never seen in the history of tennis someone who is on
top of their game at 36, as much as they were at 26, 28. It’s a whole career of
being at the top,” he said.
“He had one or two difficult years, but most of his career
he’s been at the top of his game, even though he played in the same era as
Roger and Rafa, which says even more about how an incredible, dominant player
he is.
“I think the famous debate about who is the GOAT, I guess,
is completely dead now after this incredible year, three more Grand Slams, plus
one final. He has the record almost everywhere of all – number of Masters
1000s, number of weeks No 1, number of Grand Slams – and he’s still playing,
he’s still at the top.”
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.