Former British tennis star Tim Henman hailed the quality of the match between world number one Iga Swiatek and Japan’s Naomi Osaka. Both players were involved in an absolute classic on Wednesday, as the four-time
Grand Slam winner managed to keep her calm in tough circumstances and
eventually came out on top with a score of 7-6, 1-6, 7-5.
The result was an incredible one, considering Osaka was 3-0 in the third set and was looking set to clinch the tie. She was then 30-0 up when the score was 5-2, and she even had a match point when the score was 5-3. But Swiatek, who is a two-time defending champion and is already regarded as one of the favourites to lift the title, kept her nerve and overcame what proved to be
an extremely tough challenge.
Henman, who is working for Eurosport as a pundit in their
telecast of the Roland Garros, talked after the match and stated that the fixture
had the quality of a Grand Slam final where both players showcased their talent.
“Osaka deserves so much credit,” said the former world number four. “She put in
an incredible performance. For me that could have been a Grand Slam final, that
was the level of tennis.”
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.