| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 451. | Jeremy Bates | 0 | 0 | 0 | 0 | 2 | 4 | 8 | 22 | 36 | 1300 | 36 |
| 452. | Lee Hyung-taik | 0 | 0 | 0 | 0 | 2 | 4 | 8 | 15 | 29 | 1230 | 42 |
| 453. | Andrei Olhovskiy | 0 | 0 | 0 | 0 | 2 | 4 | 7 | 11 | 24 | 1145 | 48 |
| 454. | Robert Seguso | 0 | 0 | 0 | 0 | 2 | 4 | 6 | 9 | 21 | 1080 | 51 |
| 455. | Tomáš Macháč | 0 | 0 | 0 | 0 | 2 | 4 | 5 | 5 | 16 | 995 | 62 |
| 456. | Matt Anger | 0 | 0 | 0 | 0 | 2 | 4 | 4 | 5 | 15 | 950 | 63 |
| 457. | Dušan Lajović | 0 | 0 | 0 | 0 | 2 | 3 | 15 | 26 | 46 | 1565 | 34 |
| 458. | Olivier Delaître | 0 | 0 | 0 | 0 | 2 | 3 | 11 | 14 | 30 | 1265 | 42 |
| 459. | Donald Young | 0 | 0 | 0 | 0 | 2 | 3 | 9 | 22 | 36 | 1255 | 35 |
| 460. | Milan Holeček | 0 | 0 | 0 | 0 | 2 | 3 | 7 | 9 | 21 | 1035 | 49 |
| 461. | Teymuraz Gabashvili | 0 | 0 | 0 | 0 | 2 | 3 | 6 | 21 | 32 | 1110 | 35 |
| 462. | Teimuraz Kakulia | 0 | 0 | 0 | 0 | 2 | 3 | 6 | 5 | 16 | 950 | 59 |
| 463. | Ian Fletcher | 0 | 0 | 0 | 0 | 2 | 3 | 6 | 2 | 13 | 920 | 71 |
| 464. | Nick Saviano | 0 | 0 | 0 | 0 | 2 | 3 | 4 | 12 | 21 | 930 | 44 |
| 465. | Damir Keretić | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 7 | 15 | 835 | 56 |
| 466. | Gerald Battrick | 0 | 0 | 0 | 0 | 2 | 2 | 10 | 8 | 22 | 1070 | 49 |
| 467. | Mackenzie McDonald | 0 | 0 | 0 | 0 | 2 | 2 | 8 | 18 | 30 | 1080 | 36 |
| 468. | Andreas Maurer | 0 | 0 | 0 | 0 | 2 | 2 | 5 | 10 | 19 | 865 | 46 |
| 469. | Szabolcs Baranyi | 0 | 0 | 0 | 0 | 2 | 2 | 5 | 3 | 12 | 795 | 66 |
| 470. | Daniel Altmaier | 0 | 0 | 0 | 0 | 2 | 2 | 4 | 12 | 20 | 840 | 42 |
| 471. | Nicolás Jarry | 0 | 0 | 0 | 0 | 2 | 2 | 3 | 16 | 23 | 835 | 36 |
| 472. | Kent Carlsson | 0 | 0 | 0 | 0 | 2 | 2 | 1 | 1 | 6 | 595 | 99 |
| 473. | Gianluca Pozzi | 0 | 0 | 0 | 0 | 2 | 1 | 17 | 20 | 40 | 1415 | 35 |
| 474. | Yoshihito Nishioka | 0 | 0 | 0 | 0 | 2 | 1 | 11 | 24 | 38 | 1185 | 31 |
| 475. | John Feaver | 0 | 0 | 0 | 0 | 2 | 1 | 9 | 17 | 29 | 1025 | 35 |
| 476. | Simon Youl | 0 | 0 | 0 | 0 | 2 | 1 | 7 | 22 | 32 | 985 | 31 |
| 477. | Christian Saceanu | 0 | 0 | 0 | 0 | 2 | 1 | 6 | 9 | 18 | 810 | 45 |
| 478. | Peter Doohan | 0 | 0 | 0 | 0 | 2 | 1 | 3 | 13 | 19 | 715 | 38 |
| 479. | Ilya Ivashka | 0 | 0 | 0 | 0 | 2 | 1 | 3 | 8 | 14 | 665 | 48 |
| 480. | Francesco Cancellotti | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 3 | 8 | 570 | 71 |
| 481. | Colin Dowdeswell | 0 | 0 | 0 | 0 | 2 | 0 | 9 | 15 | 26 | 915 | 35 |
| 482. | Arnaud Di Pasquale | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 11 | 16 | 605 | 38 |
| 483. | Steve Johnson | 0 | 0 | 0 | 0 | 1 | 10 | 11 | 19 | 41 | 1765 | 43 |
| 484. | Ken Flach | 0 | 0 | 0 | 0 | 1 | 8 | 4 | 6 | 19 | 1140 | 60 |
| 485. | Nicolas Mahut | 0 | 0 | 0 | 0 | 1 | 7 | 14 | 29 | 51 | 1730 | 34 |
| 486. | Nikoloz Basilashvili | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 18 | 32 | 1260 | 39 |
| 487. | Russell Simpson | 0 | 0 | 0 | 0 | 1 | 6 | 10 | 17 | 34 | 1340 | 39 |
| 488. | Fernando Vicente | 0 | 0 | 0 | 0 | 1 | 6 | 8 | 15 | 30 | 1230 | 41 |
| 489. | Jim Grabb | 0 | 0 | 0 | 0 | 1 | 6 | 8 | 14 | 29 | 1220 | 42 |
| 490. | Jiří Hřebec | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 10 | 23 | 1090 | 47 |
| 491. | Nicolás Massú | 0 | 0 | 0 | 0 | 1 | 5 | 10 | 19 | 35 | 1270 | 36 |
| 492. | David Prinosil | 0 | 0 | 0 | 0 | 1 | 5 | 10 | 19 | 35 | 1270 | 36 |
| 493. | Martin Damm (born 1972) | 0 | 0 | 0 | 0 | 1 | 5 | 9 | 22 | 37 | 1255 | 34 |
| 494. | Jean-Philippe Fleurian | 0 | 0 | 0 | 0 | 1 | 5 | 6 | 23 | 35 | 1130 | 32 |
| 495. | Andrey Kuznetsov | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 10 | 21 | 955 | 45 |
| 496. | John Yuill | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 10 | 21 | 955 | 45 |
| 497. | Omar Camporese | 0 | 0 | 0 | 0 | 1 | 5 | 3 | 9 | 18 | 855 | 48 |
| 498. | Joaquín Loyo Mayo | 0 | 0 | 0 | 0 | 1 | 5 | 3 | 5 | 14 | 815 | 58 |
| 499. | Frank Sedgman | 0 | 0 | 0 | 0 | 1 | 5 | 2 | 2 | 10 | 740 | 74 |
| 500. | Pablo Andújar | 0 | 0 | 0 | 0 | 1 | 4 | 13 | 24 | 42 | 1365 | 33 |
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.