| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2301. | Colin Stubs | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 7 | 358 | 51 |
| 2302. | Nancy Ornstein | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 6 | 348 | 58 |
| 2303. | Jiri Vanek | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 19 | 24 | 480 | 20 |
| 2304. | Iván Molina | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 18 | 23 | 470 | 20 |
| 2305. | Horst Skoff | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 16 | 21 | 450 | 21 |
| 2306. | Mayar Sherif | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 15 | 20 | 440 | 22 |
| 2307. | Julien Boutter | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 15 | 20 | 440 | 22 |
| 2308. | Frank Dancevic | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 14 | 19 | 430 | 23 |
| 2309. | Rennae Stubbs | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 14 | 19 | 430 | 23 |
| 2310. | Rajeev Ram | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | 17 | 410 | 24 |
| 2311. | Cecil Mamiit | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | 17 | 410 | 24 |
| 2312. | Erika deLone | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | 17 | 410 | 24 |
| 2313. | Alexander Shevchenko | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | 15 | 390 | 26 |
| 2314. | Rogério Dutra Silva | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | 15 | 390 | 26 |
| 2315. | Kristina Barrois | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | 15 | 390 | 26 |
| 2316. | Somdev Devvarman | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | 14 | 380 | 27 |
| 2317. | Chris Guccione | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | 14 | 380 | 27 |
| 2318. | Lea Ghirardi | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | 14 | 380 | 27 |
| 2319. | Lito Álvarez | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | 14 | 380 | 27 |
| 2320. | Renata Zarazúa | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | 13 | 370 | 28 |
| 2321. | Chang Kai-chen | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | 13 | 370 | 28 |
| 2322. | Ryan Sweeting | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | 13 | 370 | 28 |
| 2323. | Stéphane Huet | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | 12 | 360 | 30 |
| 2324. | Lilian Kelaidis Drescher | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | 12 | 360 | 30 |
| 2325. | McCartney Kessler | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | 11 | 350 | 32 |
| 2326. | Jamea Jackson | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | 11 | 350 | 32 |
| 2327. | Yuka Yoshida | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | 11 | 350 | 32 |
| 2328. | Moyuka Uchijima | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 10 | 340 | 34 |
| 2329. | Egor Gerasimov | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 9 | 330 | 37 |
| 2330. | Rick Leach | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 9 | 330 | 37 |
| 2331. | Cathy Caverzasio | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 9 | 330 | 37 |
| 2332. | Frederik Fetterlein | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 8 | 320 | 40 |
| 2333. | Jean-Pierre Courcol | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 7 | 310 | 44 |
| 2334. | Claudia Casabianca | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 6 | 300 | 50 |
| 2335. | John Trickey | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 290 | 58 |
| 2336. | Camille Pin | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 21 | 25 | 442 | 18 |
| 2337. | Yannick Hanfmann | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 16 | 20 | 392 | 20 |
| 2338. | Andrey Golubev | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 16 | 20 | 392 | 20 |
| 2339. | Zuzana Ondrášková | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 16 | 20 | 392 | 20 |
| 2340. | Go Soeda | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 14 | 18 | 372 | 21 |
| 2341. | Yūichi Sugita | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | 17 | 362 | 21 |
| 2342. | Robert Kendrick | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | 17 | 362 | 21 |
| 2343. | Tomáš Zíb | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | 15 | 342 | 23 |
| 2344. | Bradley Klahn | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | 14 | 332 | 24 |
| 2345. | Yuliana Fedak | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | 14 | 332 | 24 |
| 2346. | Conchita Martinez-Granados | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | 14 | 332 | 24 |
| 2347. | Jennifer Hopkins | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | 14 | 332 | 24 |
| 2348. | Petra Begerow | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | 14 | 332 | 24 |
| 2349. | Cedrik-Marcel Stebe | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | 13 | 322 | 25 |
| 2350. | Tatsuma Ito | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | 13 | 322 | 25 |
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.