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Aryna Sabalenka moves a win from a 3rd straight US Open title by beating Jessica Pegula
- On Thursday, Aryna Sabalenka defeated American Jessica Pegula 7-5, 6-2 to reach the U.S. Open final, moving one win away from a third consecutive title.
- After a shaky start, Sabalenka dominated the match by pounding 29 winners to Pegula's 12, overcoming early frustration to control the second set.
- This victory extends Sabalenka's streak to 19 consecutive matches at the U.S. Open since 2023, securing her spot in the title match for the fourth straight year.
- Elena Rybakina will replace Sabalenka atop the world rankings next week, and Sabalenka awaits her final opponent, set to face either Coco Gauff or Elena Rybakina.
- Despite ceding the top ranking after 99 weeks, Sabalenka expressed singular focus on the title, stating, "I was so desperate for the win, I wanted it badly.
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40 Articles
The IndependentReposted by 
The Independent (US)
The Independent (US)Aryna Sabalenka powers into fourth successive US Open final
The two-time defending champion took her winning streak in New York to 19 matches.
·London, United Kingdom
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No. 1 seed Aryna Sabalenka rolls past Jessica Pegula to earn spot in US Open final
Top seed Aryna Sabalenka stayed on course for a third consecutive US Open crown on Thursday, storming into the final with a straight sets demolition of American third seed Jessica Pegula.
·New York, United States
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Aryna Sabalenka Powers Past Jessica Pegula To Enter Final, Eyes Third Straight US Open Title
The 28-year-old Belarusian, bidding to join Chris Evert and Serena Williams as the only women to win three straight US Open titles, swatted aside Pegula with a dominant service game and a fearsome array of powerful groundstrokes.
·New Delhi, India
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Twice in a row Aryna Sabalenka triumphed in New York - now there is a chance for title number three. Her semi-final success is followed by special celebrities in the grandstand.
Coverage Details
Total News Sources40
Leaning Left5Leaning Right4Center15Last UpdatedBias Distribution62% Center
Bias Distribution
- 62% of the sources are Center
62% Center
L 21%
C 62%
R 17%
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