| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1301. | Linda Fruhvirtová | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 6 | 9 | 386 | 43 |
| 1302. | Olivier Mutis | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 6 | 9 | 386 | 43 |
| 1303. | Harmony Tan | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 5 | 8 | 376 | 47 |
| 1304. | Shintaro Mochizuki | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 4 | 7 | 366 | 52 |
| 1305. | Juan Manuel Cerúndolo | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 4 | 7 | 366 | 52 |
| 1306. | Evgenia Linetskaya | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 4 | 7 | 366 | 52 |
| 1307. | Rene Uys | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 4 | 7 | 366 | 52 |
| 1308. | Jane O'Hara | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 5 | 346 | 69 |
| 1309. | Antonella Rosa | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 3 | 326 | 109 |
| 1310. | Maria-Victoria Baldovinos | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 3 | 326 | 109 |
| 1311. | Susan Alexander | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 3 | 326 | 109 |
| 1312. | Ksenia Pervak | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 11 | 13 | 378 | 29 |
| 1313. | Giovanni Mpetshi Perricard | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 9 | 11 | 358 | 33 |
| 1314. | Jan Vacek | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 9 | 11 | 358 | 33 |
| 1315. | Oliver Gross | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 9 | 11 | 358 | 33 |
| 1316. | Ricki Osterthun | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 10 | 348 | 35 |
| 1317. | Debbie Spence | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 7 | 9 | 338 | 38 |
| 1318. | Kristie Ahn | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 6 | 8 | 328 | 41 |
| 1319. | Verónica Cepede Royg | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 6 | 8 | 328 | 41 |
| 1320. | Alexandra Eala | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | 308 | 51 |
| 1321. | Dominic Stricker | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | 308 | 51 |
| 1322. | Juan Pablo Varillas | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | 308 | 51 |
| 1323. | Jorge Lozano | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | 298 | 60 |
| 1324. | Gary Donnelly | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | 298 | 60 |
| 1325. | Monica Giorgi | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | 298 | 60 |
| 1326. | Lorenzo Manta | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 4 | 288 | 72 |
| 1327. | Andrew Foster | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 4 | 288 | 72 |
| 1328. | Francisco Maciel | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 4 | 288 | 72 |
| 1329. | Maria Timofeeva | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3 | 278 | 93 |
| 1330. | Borna Gojo | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3 | 278 | 93 |
| 1331. | Mike Brunnberg | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3 | 278 | 93 |
| 1332. | Tim van Rijthoven | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 268 | 134 |
| 1333. | Xavier Daufresne | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 268 | 134 |
| 1334. | Julie Hanrahan | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 268 | 134 |
| 1335. | Judy Harris | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 268 | 134 |
| 1336. | Norma Eastburn | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 268 | 134 |
| 1337. | Toomas Leius | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | 260 | 43 |
| 1338. | Andreea Mitu | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | 250 | 50 |
| 1339. | Chris Garner | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | 230 | 77 |
| 1340. | Silvia La Fratta | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | 230 | 77 |
| 1341. | Patrice Hagelauer | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | 230 | 77 |
| 1342. | Leandro Riedi | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 220 | 110 |
| 1343. | Jutta Diesslin | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 210 | 210 |
| 1344. | Emilie Burrer | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 210 | 210 |
| 1345. | Margaret Starr | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 210 | 210 |
| 1346. | Wendy White | 0 | 0 | 0 | 0 | 0 | 10 | 11 | 11 | 32 | 1848 | 58 |
| 1347. | Jeff Tarango | 0 | 0 | 0 | 0 | 0 | 8 | 13 | 25 | 46 | 1884 | 41 |
| 1348. | Tatiana Panova | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 15 | 31 | 1494 | 48 |
| 1349. | Susan Leo | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 8 | 21 | 1250 | 60 |
| 1350. | Kristie Boogert | 0 | 0 | 0 | 0 | 0 | 7 | 15 | 12 | 34 | 1760 | 52 |
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.