| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 351. | Dorte Ekner | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 2 | 500 | 250 |
| 352. | Catherine Tanvier | 0 | 0 | 0 | 0 | 8 | 8 | 8 | 14 | 38 | 3660 | 96 |
| 353. | Janet Young | 0 | 0 | 0 | 0 | 7 | 7 | 1 | 2 | 17 | 2680 | 158 |
| 354. | Anne Hobbs | 0 | 0 | 0 | 0 | 6 | 9 | 10 | 8 | 33 | 3390 | 103 |
| 355. | Pat Walkden | 0 | 0 | 0 | 0 | 5 | 5 | 1 | 1 | 12 | 1930 | 161 |
| 356. | Rita Grande | 0 | 0 | 0 | 0 | 5 | 4 | 16 | 13 | 38 | 2970 | 78 |
| 357. | Barbara Paulus | 0 | 0 | 0 | 0 | 5 | 4 | 7 | 10 | 26 | 2310 | 89 |
| 358. | Peggy Michel | 0 | 0 | 0 | 0 | 5 | 3 | 4 | 2 | 14 | 1890 | 135 |
| 359. | Ekaterina Alexandrova | 0 | 0 | 0 | 0 | 4 | 9 | 11 | 13 | 37 | 3030 | 82 |
| 360. | Wendy Overton | 0 | 0 | 0 | 0 | 4 | 5 | 6 | 1 | 16 | 2040 | 128 |
| 361. | Rachel McQuillan | 0 | 0 | 0 | 0 | 4 | 4 | 9 | 28 | 45 | 2390 | 53 |
| 362. | Andrea Leand | 0 | 0 | 0 | 0 | 4 | 4 | 4 | 7 | 19 | 1830 | 96 |
| 363. | Leslie Allen | 0 | 0 | 0 | 0 | 4 | 3 | 4 | 8 | 19 | 1710 | 90 |
| 364. | Nerida Gregory | 0 | 0 | 0 | 0 | 4 | 2 | 7 | 4 | 17 | 1750 | 103 |
| 365. | Anabel Medina-Garrigues | 0 | 0 | 0 | 0 | 3 | 12 | 10 | 22 | 47 | 3200 | 68 |
| 366. | Virginie Razzano | 0 | 0 | 0 | 0 | 3 | 10 | 18 | 28 | 59 | 3560 | 60 |
| 367. | Katarina Srebotnik | 0 | 0 | 0 | 0 | 3 | 10 | 14 | 12 | 39 | 3120 | 80 |
| 368. | Ann Grossman | 0 | 0 | 0 | 0 | 3 | 9 | 14 | 12 | 38 | 2990 | 79 |
| 369. | Florencia Labat | 0 | 0 | 0 | 0 | 3 | 9 | 12 | 15 | 39 | 2880 | 74 |
| 370. | Irina-Camelia Begu | 0 | 0 | 0 | 0 | 3 | 8 | 17 | 25 | 53 | 3200 | 60 |
| 371. | Andrea Temesvári | 0 | 0 | 0 | 0 | 3 | 8 | 12 | 14 | 37 | 2740 | 74 |
| 372. | Gisela Dulko | 0 | 0 | 0 | 0 | 3 | 8 | 12 | 10 | 33 | 2700 | 82 |
| 373. | Valerie Ziegenfuss | 0 | 0 | 0 | 0 | 3 | 8 | 9 | 5 | 25 | 2440 | 98 |
| 374. | Glynis Coles | 0 | 0 | 0 | 0 | 3 | 5 | 12 | 12 | 32 | 2330 | 73 |
| 375. | Ann Kiyomura | 0 | 0 | 0 | 0 | 3 | 5 | 10 | 10 | 28 | 2170 | 78 |
| 376. | Eleni Daniilidou | 0 | 0 | 0 | 0 | 3 | 5 | 9 | 21 | 38 | 2210 | 58 |
| 377. | Pam Whytcross | 0 | 0 | 0 | 0 | 3 | 5 | 7 | 5 | 20 | 1910 | 96 |
| 378. | Henrieta Nagyová | 0 | 0 | 0 | 0 | 3 | 4 | 8 | 20 | 35 | 2000 | 57 |
| 379. | Casey Dellacqua | 0 | 0 | 0 | 0 | 3 | 4 | 6 | 18 | 31 | 1840 | 59 |
| 380. | Terry Holladay | 0 | 0 | 0 | 0 | 3 | 4 | 5 | 11 | 23 | 1700 | 74 |
| 381. | Mariana Simionescu | 0 | 0 | 0 | 0 | 3 | 3 | 7 | 5 | 18 | 1650 | 92 |
| 382. | Lesley Charles | 0 | 0 | 0 | 0 | 3 | 3 | 7 | 4 | 17 | 1640 | 96 |
| 383. | Kristien Kemmer Shaw | 0 | 0 | 0 | 0 | 3 | 3 | 6 | 3 | 15 | 1560 | 104 |
| 384. | Stephanie Rehe | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 5 | 15 | 1440 | 96 |
| 385. | Kristy Pigeon | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 4 | 14 | 1430 | 102 |
| 386. | Nathalie Fuchs | 0 | 0 | 0 | 0 | 3 | 2 | 10 | 2 | 17 | 1700 | 100 |
| 387. | Wang Xinyu | 0 | 0 | 0 | 0 | 3 | 2 | 8 | 8 | 21 | 1620 | 77 |
| 388. | Donna Faber | 0 | 0 | 0 | 0 | 3 | 2 | 7 | 7 | 19 | 1540 | 81 |
| 389. | Beth Norton | 0 | 0 | 0 | 0 | 3 | 2 | 7 | 4 | 16 | 1510 | 94 |
| 390. | Patricia Bostrom | 0 | 0 | 0 | 0 | 3 | 2 | 4 | 3 | 12 | 1290 | 108 |
| 391. | Christine Truman | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 1 | 6 | 930 | 155 |
| 392. | Barbara Rittner | 0 | 0 | 0 | 0 | 2 | 12 | 18 | 18 | 50 | 3480 | 70 |
| 393. | Robin White | 0 | 0 | 0 | 0 | 2 | 11 | 8 | 10 | 31 | 2570 | 83 |
| 394. | Wendy Gilchrist | 0 | 0 | 0 | 0 | 2 | 10 | 7 | 3 | 22 | 2300 | 105 |
| 395. | Miriam Oremans | 0 | 0 | 0 | 0 | 2 | 8 | 12 | 22 | 44 | 2580 | 59 |
| 396. | Anne White | 0 | 0 | 0 | 0 | 2 | 8 | 7 | 7 | 24 | 2080 | 87 |
| 397. | Varvara Lepchenko | 0 | 0 | 0 | 0 | 2 | 7 | 14 | 23 | 46 | 2600 | 57 |
| 398. | Anna Smashnova | 0 | 0 | 0 | 0 | 2 | 7 | 10 | 30 | 49 | 2390 | 49 |
| 399. | Amanda Tobin | 0 | 0 | 0 | 0 | 2 | 7 | 5 | 7 | 21 | 1810 | 86 |
| 400. | Elna Reinach | 0 | 0 | 0 | 0 | 2 | 6 | 10 | 18 | 36 | 2140 | 59 |
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.