| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 301. | Inés Gorrochategui | 0 | 0 | 0 | 1 | 1 | 6 | 8 | 8 | 24 | 2090 | 87 |
| 302. | Sandra Cecchini | 0 | 0 | 0 | 1 | 1 | 5 | 11 | 18 | 36 | 2270 | 63 |
| 303. | Marie Neumanova | 0 | 0 | 0 | 1 | 1 | 5 | 11 | 12 | 30 | 2210 | 74 |
| 304. | Wang Qiang | 0 | 0 | 0 | 1 | 1 | 5 | 9 | 13 | 29 | 2080 | 72 |
| 305. | Denisa Chládková | 0 | 0 | 0 | 1 | 1 | 4 | 11 | 18 | 35 | 2140 | 61 |
| 306. | Anna-Lena Grönefeld | 0 | 0 | 0 | 1 | 1 | 3 | 4 | 12 | 21 | 1460 | 70 |
| 307. | Heidi Eisterlehner | 0 | 0 | 0 | 1 | 1 | 3 | 4 | 7 | 16 | 1410 | 88 |
| 308. | Joyce Barclay | 0 | 0 | 0 | 1 | 1 | 3 | 4 | 2 | 11 | 1360 | 124 |
| 309. | Rayni Fox | 0 | 0 | 0 | 1 | 1 | 2 | 7 | 1 | 12 | 1430 | 119 |
| 310. | Karolina Šprem | 0 | 0 | 0 | 1 | 1 | 2 | 5 | 15 | 24 | 1430 | 60 |
| 311. | Ruta Gerulaitis | 0 | 0 | 0 | 1 | 1 | 2 | 4 | 4 | 12 | 1250 | 104 |
| 312. | Jan Wilton | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 4 | 930 | 233 |
| 313. | Barbara Hallquist | 0 | 0 | 0 | 1 | 1 | 1 | 10 | 4 | 17 | 1540 | 91 |
| 314. | Petra Mandula | 0 | 0 | 0 | 1 | 1 | 1 | 9 | 9 | 21 | 1520 | 72 |
| 315. | Ana Konjuh | 0 | 0 | 0 | 1 | 1 | 1 | 8 | 10 | 21 | 1460 | 70 |
| 316. | Marta Marrero | 0 | 0 | 0 | 1 | 1 | 1 | 6 | 12 | 21 | 1340 | 64 |
| 317. | Iva Jovic | 0 | 0 | 0 | 1 | 1 | 1 | 4 | 1 | 8 | 1090 | 136 |
| 318. | Lina Krasnoroutskaya | 0 | 0 | 0 | 1 | 1 | 1 | 3 | 8 | 14 | 1090 | 78 |
| 319. | Jule Niemeier | 0 | 0 | 0 | 1 | 1 | 1 | 3 | 4 | 10 | 1050 | 105 |
| 320. | Alison Van Uytvanck | 0 | 0 | 0 | 1 | 1 | 0 | 10 | 24 | 36 | 1610 | 45 |
| 321. | Séverine Beltrame | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 14 | 23 | 1300 | 57 |
| 322. | Adriana Serra-Zanetti | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 11 | 20 | 1270 | 64 |
| 323. | Melanie Oudin | 0 | 0 | 0 | 1 | 1 | 0 | 4 | 12 | 18 | 1070 | 59 |
| 324. | Carina Karlsson | 0 | 0 | 0 | 1 | 1 | 0 | 4 | 9 | 15 | 1040 | 69 |
| 325. | Kateryna Bondarenko | 0 | 0 | 0 | 1 | 0 | 6 | 13 | 18 | 38 | 2300 | 61 |
| 326. | Laura Golarsa | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 26 | 39 | 1890 | 48 |
| 327. | Linda Harvey | 0 | 0 | 0 | 1 | 0 | 5 | 11 | 16 | 33 | 2010 | 61 |
| 328. | Jennifer Mundel | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 9 | 18 | 1380 | 77 |
| 329. | Barbara Schwartz | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 10 | 18 | 1260 | 70 |
| 330. | Manon Bollegraf | 0 | 0 | 0 | 1 | 0 | 3 | 11 | 16 | 31 | 1750 | 56 |
| 331. | Sylvia Plischke | 0 | 0 | 0 | 1 | 0 | 3 | 9 | 2 | 15 | 1470 | 98 |
| 332. | Viktorija Golubic | 0 | 0 | 0 | 1 | 0 | 3 | 8 | 24 | 36 | 1620 | 45 |
| 333. | Corinne Molesworth | 0 | 0 | 0 | 1 | 0 | 2 | 7 | 5 | 15 | 1230 | 82 |
| 334. | Bettina Fulco | 0 | 0 | 0 | 1 | 0 | 2 | 5 | 15 | 23 | 1190 | 52 |
| 335. | Barbara Gerken | 0 | 0 | 0 | 1 | 0 | 2 | 5 | 10 | 18 | 1140 | 63 |
| 336. | Michaëlla Krajicek | 0 | 0 | 0 | 1 | 0 | 2 | 4 | 11 | 18 | 1080 | 60 |
| 337. | Donna Ganz | 0 | 0 | 0 | 1 | 0 | 2 | 4 | 2 | 9 | 990 | 110 |
| 338. | Zenda Liess | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 2 | 6 | 780 | 130 |
| 339. | Maryna Godwin | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 5 | 770 | 154 |
| 340. | Sophie Amiach | 0 | 0 | 0 | 1 | 0 | 1 | 7 | 12 | 21 | 1170 | 56 |
| 341. | Eva Szabo | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1 | 5 | 710 | 142 |
| 342. | Mirka Koželuhová | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 4 | 700 | 175 |
| 343. | Melissa Brown | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3 | 6 | 660 | 110 |
| 344. | Elena Subirats | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 3 | 570 | 190 |
| 345. | Norma Marsh | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 560 | 280 |
| 346. | Sesil Karatantcheva | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | 14 | 860 | 61 |
| 347. | Petra Schwarz | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 11 | 16 | 820 | 51 |
| 348. | Molly Van Nostrand | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 8 | 12 | 720 | 60 |
| 349. | Miloslava Holubova | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 4 | 580 | 145 |
| 350. | Lulu Sun | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 6 | 8 | 560 | 70 |
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.