| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 401. | Julie Anthony | 0 | 0 | 0 | 0 | 2 | 6 | 6 | 3 | 17 | 1710 | 101 |
| 402. | Zarina Diyas | 0 | 0 | 0 | 0 | 2 | 6 | 5 | 14 | 27 | 1750 | 65 |
| 403. | Laura Rossouw | 0 | 0 | 0 | 0 | 2 | 6 | 5 | 2 | 15 | 1630 | 109 |
| 404. | Aliaksandra Sasnovich | 0 | 0 | 0 | 0 | 2 | 5 | 14 | 17 | 38 | 2280 | 60 |
| 405. | Bethanie Mattek-Sands | 0 | 0 | 0 | 0 | 2 | 5 | 11 | 24 | 42 | 2140 | 51 |
| 406. | Åsa Svensson | 0 | 0 | 0 | 0 | 2 | 5 | 11 | 19 | 37 | 2090 | 56 |
| 407. | Alycia Moulton | 0 | 0 | 0 | 0 | 2 | 5 | 11 | 8 | 26 | 1980 | 76 |
| 408. | Monica Niculescu | 0 | 0 | 0 | 0 | 2 | 5 | 10 | 31 | 48 | 2140 | 45 |
| 409. | Radka Zrubáková | 0 | 0 | 0 | 0 | 2 | 5 | 10 | 22 | 39 | 2050 | 53 |
| 410. | Anastasia Potapova | 0 | 0 | 0 | 0 | 2 | 5 | 8 | 11 | 26 | 1800 | 69 |
| 411. | Laura Granville | 0 | 0 | 0 | 0 | 2 | 5 | 6 | 13 | 26 | 1680 | 65 |
| 412. | Clara Tauson | 0 | 0 | 0 | 0 | 2 | 5 | 6 | 7 | 20 | 1620 | 81 |
| 413. | Lita Liem Sugiarto | 0 | 0 | 0 | 0 | 2 | 5 | 6 | 4 | 17 | 1590 | 94 |
| 414. | Klára Koukalová | 0 | 0 | 0 | 0 | 2 | 4 | 10 | 34 | 50 | 2040 | 41 |
| 415. | Pam Casale | 0 | 0 | 0 | 0 | 2 | 4 | 9 | 6 | 21 | 1690 | 80 |
| 416. | Lele Forood | 0 | 0 | 0 | 0 | 2 | 4 | 9 | 6 | 21 | 1690 | 80 |
| 417. | Jarmila Wolfe | 0 | 0 | 0 | 0 | 2 | 4 | 7 | 22 | 35 | 1710 | 49 |
| 418. | Aravane Rezaï | 0 | 0 | 0 | 0 | 2 | 4 | 7 | 13 | 26 | 1620 | 62 |
| 419. | Marita Redondo | 0 | 0 | 0 | 0 | 2 | 4 | 6 | 5 | 17 | 1470 | 86 |
| 420. | Nina Bohm | 0 | 0 | 0 | 0 | 2 | 4 | 2 | 2 | 10 | 1160 | 116 |
| 421. | Ann Henricksson | 0 | 0 | 0 | 0 | 2 | 3 | 13 | 11 | 29 | 1890 | 65 |
| 422. | Iveta Benešová | 0 | 0 | 0 | 0 | 2 | 3 | 12 | 25 | 42 | 1960 | 47 |
| 423. | Daria Saville | 0 | 0 | 0 | 0 | 2 | 3 | 10 | 20 | 35 | 1770 | 51 |
| 424. | Gala León García | 0 | 0 | 0 | 0 | 2 | 3 | 7 | 21 | 33 | 1570 | 48 |
| 425. | Petra Cetkovská | 0 | 0 | 0 | 0 | 2 | 3 | 7 | 11 | 23 | 1470 | 64 |
| 426. | Ginger Helgeson-Nielsen | 0 | 0 | 0 | 0 | 2 | 3 | 7 | 10 | 22 | 1460 | 66 |
| 427. | Alisa Kleybanova | 0 | 0 | 0 | 0 | 2 | 3 | 7 | 4 | 16 | 1400 | 88 |
| 428. | Hana Strachoňová | 0 | 0 | 0 | 0 | 2 | 3 | 6 | 3 | 14 | 1320 | 94 |
| 429. | Betty Ann Grubb Stuart | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 3 | 11 | 1110 | 101 |
| 430. | Denise Carter | 0 | 0 | 0 | 0 | 2 | 3 | 2 | 1 | 8 | 1020 | 128 |
| 431. | Marilyn Tesch | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 0 | 6 | 940 | 157 |
| 432. | Maria-Isabel Fernandez | 0 | 0 | 0 | 0 | 2 | 2 | 10 | 1 | 15 | 1450 | 97 |
| 433. | Taylor Townsend | 0 | 0 | 0 | 0 | 2 | 2 | 9 | 21 | 34 | 1580 | 46 |
| 434. | María Vento-Kabchi | 0 | 0 | 0 | 0 | 2 | 2 | 9 | 20 | 33 | 1570 | 48 |
| 435. | Marlene Weingärtner | 0 | 0 | 0 | 0 | 2 | 2 | 9 | 14 | 27 | 1510 | 56 |
| 436. | Petra Jauch-Delhees | 0 | 0 | 0 | 0 | 2 | 2 | 9 | 1 | 14 | 1380 | 99 |
| 437. | Olga Danilović | 0 | 0 | 0 | 0 | 2 | 2 | 5 | 2 | 11 | 1110 | 101 |
| 438. | Lilia Osterloh | 0 | 0 | 0 | 0 | 2 | 2 | 3 | 18 | 25 | 1130 | 45 |
| 439. | Laura Robson | 0 | 0 | 0 | 0 | 2 | 2 | 2 | 13 | 19 | 1010 | 53 |
| 440. | Jo-Anne Faull | 0 | 0 | 0 | 0 | 2 | 2 | 2 | 8 | 14 | 960 | 69 |
| 441. | Kristina Brandi | 0 | 0 | 0 | 0 | 2 | 1 | 12 | 20 | 35 | 1650 | 47 |
| 442. | Lindsey Beaven | 0 | 0 | 0 | 0 | 2 | 1 | 9 | 5 | 17 | 1290 | 76 |
| 443. | Sue Mappin | 0 | 0 | 0 | 0 | 2 | 1 | 7 | 3 | 13 | 1130 | 87 |
| 444. | Lea Pericoli | 0 | 0 | 0 | 0 | 2 | 1 | 7 | 1 | 11 | 1110 | 101 |
| 445. | Mercedes Paz | 0 | 0 | 0 | 0 | 2 | 1 | 5 | 21 | 29 | 1170 | 40 |
| 446. | Regina Rajchrtová | 0 | 0 | 0 | 0 | 2 | 1 | 5 | 8 | 16 | 1040 | 65 |
| 447. | Maria Teresa Nasuelli | 0 | 0 | 0 | 0 | 2 | 1 | 5 | 3 | 11 | 990 | 90 |
| 448. | Elina Avanesyan | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 6 | 11 | 810 | 74 |
| 449. | Leanne Harrison | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 3 | 610 | 203 |
| 450. | Katarína Studeníková | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 18 | 25 | 1010 | 40 |
Open Era Grand Slam Tennis
This site is dedicated to Grand Slam tennis stats from the Open Era – for those of us who love the numbers behind the game. Pick any group of players and see how they rank. Compare, filter, and view the same data from different angles – whether you want to explore dominance, consistency, or longevity. In short: It’s all about turning tennis history into insights you can actually play with.