| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 301. | Sam Querrey | 0 | 0 | 1 | 3 | 3 | 12 | 11 | 30 | 60 | 4823 | 80 |
| 302. | Colin Dibley | 0 | 0 | 1 | 3 | 3 | 11 | 6 | 14 | 38 | 4263 | 112 |
| 303. | Magnus Larsson | 0 | 0 | 1 | 3 | 3 | 10 | 8 | 15 | 40 | 4279 | 107 |
| 304. | Mario Ančić | 0 | 0 | 1 | 3 | 3 | 7 | 3 | 4 | 21 | 3549 | 169 |
| 305. | Kazuko Sawamatsu | 0 | 0 | 1 | 3 | 2 | 8 | 6 | 3 | 23 | 3613 | 157 |
| 306. | Paola Suárez | 0 | 0 | 1 | 3 | 2 | 6 | 11 | 18 | 41 | 3833 | 93 |
| 307. | Anastasija Sevastova | 0 | 0 | 1 | 3 | 2 | 4 | 8 | 18 | 36 | 3439 | 96 |
| 308. | Emma Navarro | 0 | 0 | 1 | 3 | 2 | 3 | 2 | 5 | 16 | 2851 | 178 |
| 309. | Tsvetana Pironkova | 0 | 0 | 1 | 3 | 2 | 2 | 22 | 22 | 52 | 4071 | 78 |
| 310. | Andrea Petkovic | 0 | 0 | 1 | 3 | 1 | 9 | 15 | 20 | 49 | 4205 | 86 |
| 311. | John Isner | 0 | 0 | 1 | 2 | 8 | 20 | 11 | 17 | 59 | 6228 | 106 |
| 312. | Elena Likhovtseva | 0 | 0 | 1 | 2 | 8 | 17 | 13 | 15 | 56 | 5994 | 107 |
| 313. | David Wheaton | 0 | 0 | 1 | 2 | 6 | 6 | 8 | 13 | 36 | 4054 | 113 |
| 314. | Daria Kasatkina | 0 | 0 | 1 | 2 | 5 | 14 | 10 | 11 | 43 | 4820 | 112 |
| 315. | Gigi Fernández | 0 | 0 | 1 | 2 | 5 | 9 | 11 | 19 | 47 | 4408 | 94 |
| 316. | Donna Vekić | 0 | 0 | 1 | 2 | 5 | 6 | 16 | 22 | 52 | 4398 | 85 |
| 317. | Sandy Mayer | 0 | 0 | 1 | 2 | 5 | 6 | 3 | 9 | 26 | 3514 | 135 |
| 318. | Kathy Rinaldi | 0 | 0 | 1 | 2 | 5 | 5 | 13 | 19 | 45 | 4084 | 91 |
| 319. | Paula Badosa | 0 | 0 | 1 | 2 | 5 | 4 | 6 | 7 | 25 | 3448 | 138 |
| 320. | Ross Case | 0 | 0 | 1 | 2 | 4 | 8 | 12 | 10 | 37 | 4056 | 110 |
| 321. | Karel Nováček | 0 | 0 | 1 | 2 | 3 | 7 | 3 | 18 | 34 | 3294 | 97 |
| 322. | Bill Scanlon | 0 | 0 | 1 | 2 | 3 | 2 | 9 | 17 | 34 | 3082 | 91 |
| 323. | Denis Shapovalov | 0 | 0 | 1 | 2 | 2 | 12 | 8 | 10 | 35 | 3844 | 110 |
| 324. | Anna Chakvetadze | 0 | 0 | 1 | 2 | 2 | 6 | 8 | 9 | 28 | 3174 | 113 |
| 325. | Nicolas Escudé | 0 | 0 | 1 | 2 | 2 | 5 | 8 | 6 | 24 | 3034 | 126 |
| 326. | Karol Kučera | 0 | 0 | 1 | 2 | 1 | 6 | 13 | 18 | 41 | 3344 | 82 |
| 327. | Lucas Pouille | 0 | 0 | 1 | 2 | 1 | 5 | 7 | 15 | 31 | 2856 | 92 |
| 328. | Maria Bueno | 0 | 0 | 1 | 2 | 1 | 2 | 2 | 0 | 8 | 2086 | 261 |
| 329. | Chris Matison | 0 | 0 | 1 | 2 | 0 | 4 | 5 | 2 | 14 | 2290 | 164 |
| 330. | Mary Sawyer | 0 | 0 | 1 | 2 | 0 | 1 | 0 | 0 | 4 | 1650 | 413 |
| 331. | Roberto Bautista Agut | 0 | 0 | 1 | 1 | 12 | 12 | 10 | 16 | 52 | 5725 | 110 |
| 332. | Bob Lutz | 0 | 0 | 1 | 1 | 7 | 7 | 5 | 12 | 33 | 3795 | 115 |
| 333. | Irina Spîrlea | 0 | 0 | 1 | 1 | 7 | 5 | 3 | 11 | 28 | 3449 | 123 |
| 334. | Anna Kournikova | 0 | 0 | 1 | 1 | 7 | 3 | 4 | 5 | 21 | 3227 | 154 |
| 335. | François Jauffret | 0 | 0 | 1 | 1 | 7 | 1 | 5 | 6 | 21 | 3075 | 146 |
| 336. | Bettina Bunge | 0 | 0 | 1 | 1 | 6 | 11 | 8 | 3 | 30 | 4109 | 137 |
| 337. | Caroline Garcia | 0 | 0 | 1 | 1 | 6 | 9 | 17 | 19 | 53 | 4571 | 86 |
| 338. | Alexander Volkov | 0 | 0 | 1 | 1 | 5 | 10 | 7 | 14 | 38 | 3841 | 101 |
| 339. | Kerry Harris | 0 | 0 | 1 | 1 | 5 | 5 | 8 | 2 | 22 | 3229 | 147 |
| 340. | Hubert Hurkacz | 0 | 0 | 1 | 1 | 5 | 2 | 14 | 9 | 32 | 3317 | 104 |
| 341. | Barbora Strýcová | 0 | 0 | 1 | 1 | 4 | 10 | 14 | 29 | 59 | 4187 | 71 |
| 342. | Paul McNamee | 0 | 0 | 1 | 1 | 4 | 10 | 12 | 11 | 39 | 3891 | 100 |
| 343. | Marc Rosset | 0 | 0 | 1 | 1 | 4 | 5 | 14 | 26 | 51 | 3607 | 71 |
| 344. | Felix Mantilla | 0 | 0 | 1 | 1 | 4 | 3 | 8 | 17 | 34 | 2949 | 87 |
| 345. | Cameron Norrie | 0 | 0 | 1 | 1 | 3 | 11 | 5 | 14 | 35 | 3415 | 98 |
| 346. | Kiki Bertens | 0 | 0 | 1 | 1 | 3 | 6 | 7 | 16 | 34 | 3001 | 88 |
| 347. | Jimmy Arias | 0 | 0 | 1 | 1 | 3 | 5 | 8 | 10 | 28 | 2889 | 103 |
| 348. | Bob Giltinan | 0 | 0 | 1 | 1 | 3 | 4 | 8 | 4 | 21 | 2719 | 129 |
| 349. | Ernests Gulbis | 0 | 0 | 1 | 1 | 3 | 3 | 16 | 21 | 45 | 3243 | 72 |
| 350. | Pancho Gonzales | 0 | 0 | 1 | 1 | 3 | 3 | 2 | 2 | 12 | 2241 | 187 |
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.