| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2251. | Jade Schiffman | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2252. | Janine Mauroy-Toffier | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2253. | Anna Dmitrieva | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2254. | Virginia Caceres | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2255. | Nicole Niox-Chateau | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2256. | Margarita Zuleta | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2257. | Paola Palacios | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 110 | 110 |
| 2258. | Carlos Berlocq | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 25 | 35 | 830 | 24 |
| 2259. | Lara Arruabarrena | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | 24 | 672 | 28 |
| 2260. | Urszula Radwańska | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | 21 | 642 | 31 |
| 2261. | Nana Smith | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 18 | 26 | 644 | 25 |
| 2262. | Hans Kary | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | 20 | 584 | 29 |
| 2263. | Andreas Beck | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 15 | 534 | 36 |
| 2264. | Terry Rocavert | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 11 | 494 | 45 |
| 2265. | Nao Hibino | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 18 | 25 | 586 | 23 |
| 2266. | Björn Phau | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 18 | 25 | 586 | 23 |
| 2267. | Edina Gallovits-Hall | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 17 | 24 | 576 | 24 |
| 2268. | Catalina Castaño | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | 22 | 556 | 25 |
| 2269. | Andreas Haider-Maurer | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | 19 | 526 | 28 |
| 2270. | Grégoire Barrère | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | 18 | 516 | 29 |
| 2271. | Audra Keller | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | 18 | 516 | 29 |
| 2272. | Glenn Michibata | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | 17 | 506 | 30 |
| 2273. | Kristína Kučová | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | 15 | 486 | 32 |
| 2274. | Marsel İlhan | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 12 | 456 | 38 |
| 2275. | Mike Machette | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 12 | 456 | 38 |
| 2276. | Guillaume Rufin | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 11 | 446 | 41 |
| 2277. | Paul Capdeville | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 11 | 446 | 41 |
| 2278. | Zheng Saisai | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 17 | 23 | 518 | 23 |
| 2279. | Cyril Saulnier | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 15 | 21 | 498 | 24 |
| 2280. | Monique Javer | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 15 | 21 | 498 | 24 |
| 2281. | Federica Bonsignori | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | 19 | 478 | 25 |
| 2282. | Viktoriya Tomova | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | 18 | 468 | 26 |
| 2283. | Alexandre Müller | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | 17 | 458 | 27 |
| 2284. | Carl Limberger | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | 17 | 458 | 27 |
| 2285. | Anna-Maria Fernandez | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | 17 | 458 | 27 |
| 2286. | Caroline Dolehide | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | 16 | 448 | 28 |
| 2287. | Lindsay Lee-Waters | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | 16 | 448 | 28 |
| 2288. | Jonathan Canter | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | 16 | 448 | 28 |
| 2289. | Ekaterina Bychkova | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | 15 | 438 | 29 |
| 2290. | Park Sung-hee | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | 14 | 428 | 31 |
| 2291. | Cláudia Monteiro | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | 14 | 428 | 31 |
| 2292. | Sachia Vickery | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | 13 | 418 | 32 |
| 2293. | Marco Trungelliti | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 11 | 398 | 36 |
| 2294. | Selima Sfar | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 11 | 398 | 36 |
| 2295. | Mark Knowles | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 10 | 388 | 39 |
| 2296. | Colin Stubs | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 7 | 358 | 51 |
| 2297. | Nancy Ornstein | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 6 | 348 | 58 |
| 2298. | Jiri Vanek | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 19 | 24 | 480 | 20 |
| 2299. | Iván Molina | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 18 | 23 | 470 | 20 |
| 2300. | Horst Skoff | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 16 | 21 | 450 | 21 |
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.