| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 501. | Dudi Sela | 0 | 0 | 0 | 0 | 1 | 4 | 12 | 24 | 41 | 1320 | 32 |
| 502. | Danie Visser | 0 | 0 | 0 | 0 | 1 | 4 | 12 | 7 | 24 | 1150 | 48 |
| 503. | Kenneth Carlsen | 0 | 0 | 0 | 0 | 1 | 4 | 11 | 30 | 46 | 1335 | 29 |
| 504. | Guillaume Raoux | 0 | 0 | 0 | 0 | 1 | 4 | 11 | 26 | 42 | 1295 | 31 |
| 505. | Alberto Martín | 0 | 0 | 0 | 0 | 1 | 4 | 9 | 24 | 38 | 1185 | 31 |
| 506. | Andrea Gaudenzi | 0 | 0 | 0 | 0 | 1 | 4 | 9 | 16 | 30 | 1105 | 37 |
| 507. | Marcos Ondruska | 0 | 0 | 0 | 0 | 1 | 4 | 8 | 15 | 28 | 1050 | 38 |
| 508. | Tallon Griekspoor | 0 | 0 | 0 | 0 | 1 | 4 | 6 | 11 | 22 | 920 | 42 |
| 509. | Owen Davidson | 0 | 0 | 0 | 0 | 1 | 4 | 6 | 3 | 14 | 840 | 60 |
| 510. | Jenson Brooksby | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 6 | 15 | 780 | 52 |
| 511. | Richard Lewis | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 14 | 21 | 770 | 37 |
| 512. | Thomaz Bellucci | 0 | 0 | 0 | 0 | 1 | 3 | 14 | 18 | 36 | 1260 | 35 |
| 513. | Alejandro Falla | 0 | 0 | 0 | 0 | 1 | 3 | 12 | 18 | 34 | 1170 | 34 |
| 514. | Eddie Edwards | 0 | 0 | 0 | 0 | 1 | 3 | 11 | 9 | 24 | 1035 | 43 |
| 515. | Martin Kližan | 0 | 0 | 0 | 0 | 1 | 3 | 9 | 15 | 28 | 1005 | 36 |
| 516. | Arthur Rinderknech | 0 | 0 | 0 | 0 | 1 | 3 | 8 | 11 | 23 | 920 | 40 |
| 517. | Reilly Opelka | 0 | 0 | 0 | 0 | 1 | 3 | 8 | 10 | 22 | 910 | 41 |
| 518. | Nduka Odizor | 0 | 0 | 0 | 0 | 1 | 3 | 7 | 7 | 18 | 835 | 46 |
| 519. | Jens Knippschild | 0 | 0 | 0 | 0 | 1 | 3 | 7 | 6 | 17 | 825 | 49 |
| 520. | Henrik Holm | 0 | 0 | 0 | 0 | 1 | 3 | 7 | 6 | 17 | 825 | 49 |
| 521. | Marc Gicquel | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 14 | 24 | 860 | 36 |
| 522. | Daniel Nestor | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 13 | 23 | 850 | 37 |
| 523. | Diego Perez | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 11 | 21 | 830 | 40 |
| 524. | Eric Jelen | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 11 | 21 | 830 | 40 |
| 525. | Paul Gerken | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 5 | 15 | 770 | 51 |
| 526. | Horacio de la Peña | 0 | 0 | 0 | 0 | 1 | 3 | 5 | 12 | 21 | 795 | 38 |
| 527. | Mark Kratzmann | 0 | 0 | 0 | 0 | 1 | 3 | 5 | 12 | 21 | 795 | 38 |
| 528. | Karol Beck | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 16 | 24 | 790 | 33 |
| 529. | Christian Ruud | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 16 | 24 | 790 | 33 |
| 530. | Lars Jonsson | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 14 | 22 | 770 | 35 |
| 531. | John van Lottum | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 13 | 21 | 760 | 36 |
| 532. | Carlos Kirmayr | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 12 | 20 | 750 | 38 |
| 533. | Mike Estep | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 12 | 20 | 750 | 38 |
| 534. | Antonio Zugarelli | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 10 | 18 | 730 | 41 |
| 535. | Torben Ulrich | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 6 | 14 | 690 | 49 |
| 536. | Flávio Saretta | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 10 | 17 | 685 | 40 |
| 537. | Wayne Black | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 10 | 17 | 685 | 40 |
| 538. | Alex Antonitsch | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 10 | 17 | 685 | 40 |
| 539. | Daniel Elahi Galán | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 8 | 15 | 665 | 44 |
| 540. | Sebastian Ofner | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 7 | 14 | 655 | 47 |
| 541. | Niclas Kroon | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 9 | 14 | 585 | 42 |
| 542. | Robert McKinley | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 2 | 7 | 515 | 74 |
| 543. | Nicola Pietrangeli | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 7 | 11 | 520 | 47 |
| 544. | Benjamin Becker | 0 | 0 | 0 | 0 | 1 | 2 | 12 | 21 | 36 | 1110 | 31 |
| 545. | Jaume Munar | 0 | 0 | 0 | 0 | 1 | 2 | 12 | 16 | 31 | 1060 | 34 |
| 546. | Steve Krulevitz | 0 | 0 | 0 | 0 | 1 | 2 | 11 | 14 | 28 | 995 | 36 |
| 547. | Francisco Gonzalez | 0 | 0 | 0 | 0 | 1 | 2 | 11 | 9 | 23 | 945 | 41 |
| 548. | Denis Kudla | 0 | 0 | 0 | 0 | 1 | 2 | 10 | 17 | 30 | 980 | 33 |
| 549. | Pascal Portes | 0 | 0 | 0 | 0 | 1 | 2 | 10 | 5 | 18 | 860 | 48 |
| 550. | Christophe Rochus | 0 | 0 | 0 | 0 | 1 | 2 | 8 | 24 | 35 | 960 | 27 |
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.