US EditionCoco Gauff overcomes 23 double-faults for first win since French Open title
MONTREAL, JUL 30 – Coco Gauff overcame 23 double-faults to win her first match since the French Open, advancing despite ongoing serving difficulties, officials reported.
- On July 29, 2025, in Montreal, Coco Gauff secured her first victory since winning the French Open by narrowly defeating fellow American Danielle Collins in a three-set match that featured a decisive tiebreak in the final set.
- Gauff struggled with her serve during a challenging match, committing a notably high number of double faults and unforced mistakes, which was partly attributed to adjusting her service grip during a break in play.
- The contest extended nearly three hours with the lead shifting multiple times, while Collins, once ranked in the top 10, struggled with her game, committing 13 double faults along with 80 unforced errors.
- Gauff called the match frustrating, noting that despite feeling prepared in practice, she was unable to carry that form into the game, but she remains optimistic about improving and performing better in the next round.
- This victory at the National Bank Open represents a strong comeback for Gauff as she prepares to meet Veronika Kudermetova in the tournament’s third round ahead of the US Open.
Insights by Ground AI
Does this summary seem wrong?
19 Articles
19 Articles
Gauff overcomes 23 double-faults for first win since French Open
MONTREAL — Coco Gauff made a winning return to competition on Tuesday night, even though some old serving woes came back with her. Gauff had to overcome 23 double-faults to win for the first time since the French Open final, outlasting fellow American Danielle Collins 7-5, 4-6, 7-6 (2) in the second round of the National Bank Open. READ: Wimbledon: Coco Gauff crashes out with loss to Dayana Yastremska Gauff hadn’t played since losing in the firs…
·Manila, Philippines
Read Full Article
Coverage Details
Total News Sources19
Leaning Left9Leaning Right3Center4Last UpdatedBias Distribution56% Left
Bias Distribution
- 56% of the sources lean Left
56% Left
L 56%
C 25%
R 19%
Factuality
To view factuality data please Upgrade to Premium
