America’s Jennifer Brady has named the current world number one
Serbia’s Novak Djokovic and the former world number one America’s Serena
Williams GOAT tennis player in the history of the sport.
The 28-year-old, while interacting with the fans on social media
on Reddit, was asked who the Greatest of All Time player or players in the
history of tennis is, to which she responded by saying: "Serena and Novak.".
She was then asked which retired player she would like to face
and her response was: “Serena Williams because she was so dominant and I want
to know what that level was like to play against."
Djokovic is often termed the greatest player in history of
the men’s single tennis in the Open era, having won as many as 23 Grand Slams
in his career.
His most successful competition has been the Australian Open
where he has lifted the title 10 times — 2008, 2011, 2012, 2013, 2015, 2016,
2019, 2020, 2021 and 2023.
On the other hand, Williams also finished her illustrious
career after winning 23 major titles in her career.
The 41-year-old’s most successful outing came in the
Australian Open and Wimbledon where she ended up lifting the title seven times.
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.