| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 451. | Ivana Madruga | 0 | 0 | 0 | 3 | 3 | 2 | 4 | 4 | 16 | 2307 | 144 |
| 452. | Yulia Putintseva | 0 | 0 | 0 | 3 | 2 | 9 | 20 | 16 | 50 | 3915 | 78 |
| 453. | Juan Ignacio Chela | 0 | 0 | 0 | 3 | 2 | 7 | 14 | 16 | 42 | 3347 | 80 |
| 454. | Christian Bergström | 0 | 0 | 0 | 3 | 2 | 1 | 9 | 15 | 30 | 2387 | 80 |
| 455. | Jarkko Nieminen | 0 | 0 | 0 | 3 | 1 | 10 | 19 | 19 | 52 | 3787 | 73 |
| 456. | Cliff Drysdale | 0 | 0 | 0 | 3 | 1 | 5 | 4 | 7 | 20 | 2247 | 112 |
| 457. | Hans Gildemeister | 0 | 0 | 0 | 3 | 1 | 3 | 4 | 4 | 15 | 1997 | 133 |
| 458. | Ajla Tomljanović | 0 | 0 | 0 | 3 | 1 | 1 | 19 | 20 | 44 | 2807 | 64 |
| 459. | Andrei Cherkasov | 0 | 0 | 0 | 3 | 1 | 0 | 6 | 15 | 25 | 1893 | 76 |
| 460. | Ramesh Krishnan | 0 | 0 | 0 | 3 | 0 | 11 | 11 | 15 | 40 | 3183 | 80 |
| 461. | Gretchen Anne Rush | 0 | 0 | 0 | 3 | 0 | 3 | 10 | 11 | 27 | 2205 | 82 |
| 462. | Butch Buchholz | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 0 | 5 | 1353 | 271 |
| 463. | Sandrine Testud | 0 | 0 | 0 | 2 | 11 | 8 | 11 | 14 | 46 | 4758 | 103 |
| 464. | Gilles Simon | 0 | 0 | 0 | 2 | 9 | 19 | 18 | 13 | 61 | 5944 | 97 |
| 465. | Ai Sugiyama | 0 | 0 | 0 | 2 | 9 | 14 | 21 | 17 | 63 | 5608 | 89 |
| 466. | Marty Riessen | 0 | 0 | 0 | 2 | 9 | 5 | 9 | 6 | 31 | 3812 | 123 |
| 467. | Emilio Sánchez | 0 | 0 | 0 | 2 | 9 | 3 | 5 | 17 | 36 | 3470 | 96 |
| 468. | Pam Teeguarden | 0 | 0 | 0 | 2 | 7 | 13 | 19 | 8 | 49 | 4872 | 99 |
| 469. | Judith Wiesner | 0 | 0 | 0 | 2 | 7 | 10 | 6 | 14 | 39 | 3848 | 99 |
| 470. | Brenda Schultz-McCarthy | 0 | 0 | 0 | 2 | 7 | 9 | 9 | 15 | 42 | 3922 | 93 |
| 471. | Amy Frazier | 0 | 0 | 0 | 2 | 6 | 15 | 18 | 30 | 71 | 5044 | 71 |
| 472. | Lisa Raymond | 0 | 0 | 0 | 2 | 6 | 12 | 18 | 18 | 56 | 4594 | 82 |
| 473. | Rosalyn Fairbank | 0 | 0 | 0 | 2 | 6 | 11 | 20 | 15 | 54 | 4570 | 85 |
| 474. | Shahar Pe'er | 0 | 0 | 0 | 2 | 6 | 7 | 9 | 12 | 36 | 3462 | 96 |
| 475. | Brad Gilbert | 0 | 0 | 0 | 2 | 5 | 11 | 8 | 12 | 38 | 3634 | 96 |
| 476. | Janko Tipsarević | 0 | 0 | 0 | 2 | 5 | 9 | 11 | 24 | 51 | 3708 | 73 |
| 477. | Ray Moore | 0 | 0 | 0 | 2 | 5 | 8 | 11 | 16 | 42 | 3518 | 84 |
| 478. | Greer Stevens | 0 | 0 | 0 | 2 | 5 | 2 | 2 | 1 | 12 | 2186 | 182 |
| 479. | Bob Carmichael | 0 | 0 | 0 | 2 | 4 | 5 | 13 | 12 | 36 | 3054 | 85 |
| 480. | Dominique Monami | 0 | 0 | 0 | 2 | 3 | 8 | 9 | 14 | 36 | 2962 | 82 |
| 481. | Zhang Shuai | 0 | 0 | 0 | 2 | 3 | 8 | 8 | 31 | 52 | 3074 | 59 |
| 482. | Larisa Neiland | 0 | 0 | 0 | 2 | 3 | 7 | 18 | 24 | 54 | 3474 | 64 |
| 483. | Balázs Taróczy | 0 | 0 | 0 | 2 | 3 | 7 | 10 | 6 | 28 | 2830 | 101 |
| 484. | Tomáš Šmíd | 0 | 0 | 0 | 2 | 3 | 5 | 14 | 11 | 35 | 2892 | 83 |
| 485. | Bonnie Gadusek | 0 | 0 | 0 | 2 | 3 | 3 | 1 | 3 | 12 | 1838 | 153 |
| 486. | Jiří Lehečka | 0 | 0 | 0 | 2 | 3 | 2 | 3 | 7 | 17 | 1884 | 111 |
| 487. | Virginia Ruano Pascual | 0 | 0 | 0 | 2 | 2 | 10 | 19 | 24 | 57 | 3652 | 64 |
| 488. | Jaime Yzaga | 0 | 0 | 0 | 2 | 2 | 7 | 7 | 14 | 32 | 2526 | 79 |
| 489. | Shelby Rogers | 0 | 0 | 0 | 2 | 2 | 7 | 6 | 18 | 35 | 2508 | 72 |
| 490. | Heinz Günthardt | 0 | 0 | 0 | 2 | 2 | 6 | 5 | 9 | 24 | 2250 | 94 |
| 491. | Gilles Müller | 0 | 0 | 0 | 2 | 2 | 4 | 14 | 20 | 42 | 2662 | 63 |
| 492. | Linky Boshoff | 0 | 0 | 0 | 2 | 2 | 3 | 2 | 3 | 12 | 1686 | 141 |
| 493. | Jacco Eltingh | 0 | 0 | 0 | 2 | 2 | 2 | 7 | 10 | 23 | 1936 | 84 |
| 494. | Jay Berger | 0 | 0 | 0 | 2 | 2 | 2 | 5 | 1 | 12 | 1730 | 144 |
| 495. | Tamira Paszek | 0 | 0 | 0 | 2 | 2 | 0 | 6 | 19 | 29 | 1748 | 60 |
| 496. | Byron Black | 0 | 0 | 0 | 2 | 1 | 8 | 11 | 17 | 39 | 2688 | 69 |
| 497. | Michiel Schapers | 0 | 0 | 0 | 2 | 1 | 7 | 5 | 15 | 30 | 2210 | 74 |
| 498. | Florian Mayer | 0 | 0 | 0 | 2 | 1 | 6 | 15 | 23 | 47 | 2760 | 59 |
| 499. | Helen Kelesi | 0 | 0 | 0 | 2 | 1 | 5 | 7 | 17 | 32 | 2126 | 66 |
| 500. | John Cooper | 0 | 0 | 0 | 2 | 1 | 5 | 5 | 0 | 13 | 1840 | 142 |
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.