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๐Ÿ‡ด๐Ÿ‡ฒ Oman /Sports

Williams Sisters Lose Three-Set Thriller in Emotional US Open Doubles Return

From Times of Oman · () English

Translated from English and summarized by DistantNews. Read the original for the full story.

At a glance

Newswire From a news agency Outcome reported
  • Serena and Venus Williams lost 6-3, 6-7(6), 7-6(7) to Maya Joint and Hao-Ching Chan in their first US Open doubles appearance together since 2022.
  • The 14-time Grand Slam doubles champions fought back from a set down and erased a 1-4 deficit in the decider before losing the match tiebreak.
  • Their return drew a large reception at Arthur Ashe Stadium and offered fans a nostalgic appearance by one of tennisโ€™s most celebrated partnerships.

Serena and Venus Williams returned to the US Open doubles court together and turned Arthur Ashe Stadium into a night of reunion and nostalgia. The sisters ultimately lost 6-3, 6-7(6), 7-6(7) to Australiaโ€™s Maya Joint and Chinese Taipeiโ€™s Hao-Ching Chan, the No. 14 seeds.

It was the Williams sistersโ€™ first appearance together at the tournament since 2022. The 14-time Grand Slam womenโ€™s doubles champions received a huge reception as they walked onto the court in matching white outfits.

Joint and Chan took the opening set after winning the final three games. Serena and Venus answered in the second, fighting through a tight contest and converting a crucial set point to force a decider.

The Williams sisters then recovered from a 1-4 deficit in the final set and brought the match level. Joint and Chan held firm at the key moment, saving three break points at 4-4 before edging the deciding match tiebreak after three hours and two minutes.

Venus, 46, and Serena, 44, have won three Olympic gold medals together and remained unbeaten in 17 high-profile doubles finals. Although this comeback ended in defeat, their appearance gave the New York crowd another chance to see one of tennisโ€™s iconic partnerships on the US Open stage.

About this summary

Originally published by Times of Oman in English. 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.