| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 301. | Julien Benneteau | 0 | 0 | 0 | 1 | 2 | 12 | 13 | 29 | 57 | 2675 | 47 |
| 302. | Charlie Pasarell | 0 | 0 | 0 | 1 | 2 | 10 | 8 | 9 | 30 | 2070 | 69 |
| 303. | Geoff Masters | 0 | 0 | 0 | 1 | 2 | 9 | 15 | 8 | 35 | 2285 | 65 |
| 304. | Barry Phillips-Moore | 0 | 0 | 0 | 1 | 2 | 9 | 10 | 10 | 32 | 2080 | 65 |
| 305. | Alexandr Dolgopolov | 0 | 0 | 0 | 1 | 2 | 7 | 10 | 10 | 30 | 1900 | 63 |
| 306. | Jan Siemerink | 0 | 0 | 0 | 1 | 2 | 7 | 8 | 23 | 41 | 1940 | 47 |
| 307. | Tim Wilkinson | 0 | 0 | 0 | 1 | 2 | 6 | 14 | 16 | 39 | 2050 | 53 |
| 308. | Borna Ćorić | 0 | 0 | 0 | 1 | 2 | 6 | 8 | 19 | 36 | 1810 | 50 |
| 309. | Mel Purcell | 0 | 0 | 0 | 1 | 2 | 6 | 6 | 7 | 22 | 1600 | 73 |
| 310. | Brad Drewett | 0 | 0 | 0 | 1 | 2 | 5 | 13 | 13 | 34 | 1885 | 55 |
| 311. | Paul Annacone | 0 | 0 | 0 | 1 | 2 | 5 | 8 | 6 | 22 | 1590 | 72 |
| 312. | Ismail El Shafei | 0 | 0 | 0 | 1 | 2 | 5 | 6 | 13 | 27 | 1570 | 58 |
| 313. | Sebastian Korda | 0 | 0 | 0 | 1 | 2 | 5 | 4 | 8 | 20 | 1430 | 72 |
| 314. | Paul Kronk | 0 | 0 | 0 | 1 | 2 | 4 | 5 | 14 | 26 | 1445 | 56 |
| 315. | Łukasz Kubot | 0 | 0 | 0 | 1 | 2 | 4 | 4 | 9 | 20 | 1350 | 68 |
| 316. | Dan Goldie | 0 | 0 | 0 | 1 | 2 | 4 | 1 | 9 | 17 | 1215 | 71 |
| 317. | Ion Țiriac | 0 | 0 | 0 | 1 | 2 | 3 | 10 | 4 | 20 | 1480 | 74 |
| 318. | Brian Fairlie | 0 | 0 | 0 | 1 | 2 | 3 | 9 | 5 | 20 | 1445 | 72 |
| 319. | Cristian Garín | 0 | 0 | 0 | 1 | 2 | 3 | 8 | 9 | 23 | 1440 | 63 |
| 320. | Brett Steven | 0 | 0 | 0 | 1 | 2 | 3 | 8 | 9 | 23 | 1440 | 63 |
| 321. | Ronald Agénor | 0 | 0 | 0 | 1 | 2 | 2 | 8 | 16 | 29 | 1420 | 49 |
| 322. | Mariano Zabaleta | 0 | 0 | 0 | 1 | 2 | 2 | 6 | 19 | 30 | 1360 | 45 |
| 323. | Alberto Mancini | 0 | 0 | 0 | 1 | 2 | 1 | 2 | 6 | 12 | 960 | 80 |
| 324. | Guillermo Pérez Roldán | 0 | 0 | 0 | 1 | 2 | 1 | 0 | 6 | 10 | 870 | 87 |
| 325. | Ctislav Doseděl | 0 | 0 | 0 | 1 | 2 | 0 | 16 | 11 | 30 | 1550 | 52 |
| 326. | István Gulyás | 0 | 0 | 0 | 1 | 2 | 0 | 2 | 7 | 12 | 880 | 73 |
| 327. | Andrew Pattison | 0 | 0 | 0 | 1 | 1 | 8 | 11 | 10 | 31 | 1855 | 60 |
| 328. | Victor Hănescu | 0 | 0 | 0 | 1 | 1 | 6 | 12 | 19 | 39 | 1810 | 46 |
| 329. | Stefan Koubek | 0 | 0 | 0 | 1 | 1 | 6 | 12 | 18 | 38 | 1800 | 47 |
| 330. | Bill Bowrey | 0 | 0 | 0 | 1 | 1 | 6 | 5 | 1 | 14 | 1315 | 94 |
| 331. | Scott Davis | 0 | 0 | 0 | 1 | 1 | 5 | 11 | 16 | 34 | 1645 | 48 |
| 332. | Renzo Furlan | 0 | 0 | 0 | 1 | 1 | 5 | 4 | 16 | 27 | 1330 | 49 |
| 333. | Albert Ramos Viñolas | 0 | 0 | 0 | 1 | 1 | 4 | 10 | 35 | 51 | 1700 | 33 |
| 334. | Botic van de Zandschulp | 0 | 0 | 0 | 1 | 1 | 4 | 9 | 8 | 23 | 1385 | 60 |
| 335. | Frew McMillan | 0 | 0 | 0 | 1 | 1 | 4 | 8 | 12 | 26 | 1380 | 53 |
| 336. | Adrian Voinea | 0 | 0 | 0 | 1 | 1 | 4 | 7 | 14 | 27 | 1355 | 50 |
| 337. | Mikael Tillström | 0 | 0 | 0 | 1 | 1 | 4 | 6 | 9 | 21 | 1260 | 60 |
| 338. | Jan-Michael Gambill | 0 | 0 | 0 | 1 | 1 | 3 | 12 | 14 | 31 | 1490 | 48 |
| 339. | Mischa Zverev | 0 | 0 | 0 | 1 | 1 | 3 | 3 | 20 | 28 | 1145 | 41 |
| 340. | Davide Sanguinetti | 0 | 0 | 0 | 1 | 1 | 2 | 11 | 21 | 36 | 1425 | 40 |
| 341. | Todd Witsken | 0 | 0 | 0 | 1 | 1 | 2 | 9 | 11 | 24 | 1235 | 51 |
| 342. | Sammy Giammalva Jr. | 0 | 0 | 0 | 1 | 1 | 2 | 8 | 10 | 22 | 1180 | 54 |
| 343. | Vasek Pospisil | 0 | 0 | 0 | 1 | 1 | 2 | 7 | 22 | 33 | 1255 | 38 |
| 344. | Hans-Jürgen Pohmann | 0 | 0 | 0 | 1 | 1 | 2 | 5 | 6 | 15 | 1005 | 67 |
| 345. | Galo Blanco | 0 | 0 | 0 | 1 | 1 | 2 | 4 | 20 | 28 | 1100 | 39 |
| 346. | Wanaro N'Godrella | 0 | 0 | 0 | 1 | 1 | 2 | 4 | 6 | 14 | 960 | 69 |
| 347. | Thomaz Koch | 0 | 0 | 0 | 1 | 1 | 1 | 10 | 7 | 20 | 1150 | 58 |
| 348. | Roman Safiullin | 0 | 0 | 0 | 1 | 1 | 1 | 5 | 8 | 16 | 935 | 58 |
| 349. | Butch Walts | 0 | 0 | 0 | 1 | 1 | 1 | 3 | 5 | 11 | 815 | 74 |
| 350. | Learner Tien | 0 | 0 | 0 | 1 | 1 | 1 | 2 | 5 | 10 | 770 | 77 |
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.