| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 551. | Fabrice Santoro | 0 | 0 | 0 | 1 | 3 | 13 | 24 | 29 | 70 | 4137 | 59 |
| 552. | Paul Haarhuis | 0 | 0 | 0 | 1 | 3 | 11 | 10 | 16 | 41 | 2975 | 73 |
| 553. | Laura duPont | 0 | 0 | 0 | 1 | 3 | 10 | 11 | 9 | 34 | 2853 | 84 |
| 554. | Camila Giorgi | 0 | 0 | 0 | 1 | 3 | 9 | 14 | 19 | 46 | 3017 | 66 |
| 555. | Amos Mansdorf | 0 | 0 | 0 | 1 | 3 | 9 | 11 | 10 | 34 | 2753 | 81 |
| 556. | Patricia Hy-Boulais | 0 | 0 | 0 | 1 | 3 | 8 | 15 | 14 | 41 | 2915 | 71 |
| 557. | Vince Spadea | 0 | 0 | 0 | 1 | 3 | 8 | 13 | 29 | 54 | 2949 | 55 |
| 558. | Meghann Shaughnessy | 0 | 0 | 0 | 1 | 3 | 7 | 11 | 18 | 40 | 2613 | 65 |
| 559. | Jan-Lennard Struff | 0 | 0 | 0 | 1 | 3 | 7 | 9 | 27 | 47 | 2587 | 55 |
| 560. | Christina Sandberg | 0 | 0 | 0 | 1 | 3 | 7 | 6 | 3 | 20 | 2173 | 109 |
| 561. | Lisa Bonder | 0 | 0 | 0 | 1 | 3 | 7 | 5 | 8 | 24 | 2165 | 90 |
| 562. | Laura Arraya | 0 | 0 | 0 | 1 | 3 | 6 | 13 | 11 | 34 | 2549 | 75 |
| 563. | Igor Andreev | 0 | 0 | 0 | 1 | 3 | 6 | 11 | 11 | 32 | 2433 | 76 |
| 564. | Márton Fucsovics | 0 | 0 | 0 | 1 | 3 | 6 | 10 | 16 | 36 | 2425 | 67 |
| 565. | Derrick Rostagno | 0 | 0 | 0 | 1 | 3 | 6 | 10 | 11 | 31 | 2375 | 77 |
| 566. | Fiorella Bonicelli | 0 | 0 | 0 | 1 | 3 | 6 | 9 | 5 | 24 | 2257 | 94 |
| 567. | Alison Riske-Amritraj | 0 | 0 | 0 | 1 | 3 | 6 | 6 | 28 | 44 | 2313 | 53 |
| 568. | Max Mirnyi | 0 | 0 | 0 | 1 | 3 | 5 | 9 | 16 | 34 | 2257 | 66 |
| 569. | Martín Jaite | 0 | 0 | 0 | 1 | 3 | 5 | 6 | 4 | 19 | 1963 | 103 |
| 570. | Hsieh Su-wei | 0 | 0 | 0 | 1 | 3 | 4 | 14 | 19 | 41 | 2467 | 60 |
| 571. | Michèle Gurdal | 0 | 0 | 0 | 1 | 3 | 3 | 8 | 8 | 23 | 1899 | 83 |
| 572. | Pascale Paradis | 0 | 0 | 0 | 1 | 3 | 3 | 6 | 20 | 33 | 1903 | 58 |
| 573. | Henrik Sundström | 0 | 0 | 0 | 1 | 3 | 2 | 6 | 9 | 21 | 1683 | 80 |
| 574. | Marise Kruger | 0 | 0 | 0 | 1 | 3 | 1 | 2 | 2 | 9 | 1271 | 141 |
| 575. | Julien Benneteau | 0 | 0 | 0 | 1 | 2 | 12 | 13 | 29 | 57 | 3179 | 56 |
| 576. | Charlie Pasarell | 0 | 0 | 0 | 1 | 2 | 10 | 8 | 9 | 30 | 2469 | 82 |
| 577. | Geoff Masters | 0 | 0 | 0 | 1 | 2 | 9 | 15 | 8 | 35 | 2755 | 79 |
| 578. | Barry Phillips-Moore | 0 | 0 | 0 | 1 | 2 | 9 | 10 | 10 | 32 | 2485 | 78 |
| 579. | Elizabeth Smylie | 0 | 0 | 0 | 1 | 2 | 8 | 9 | 23 | 43 | 2447 | 57 |
| 580. | Alexandr Dolgopolov | 0 | 0 | 0 | 1 | 2 | 7 | 10 | 10 | 30 | 2265 | 76 |
| 581. | Jan Siemerink | 0 | 0 | 0 | 1 | 2 | 7 | 8 | 23 | 41 | 2279 | 56 |
| 582. | Tim Wilkinson | 0 | 0 | 0 | 1 | 2 | 6 | 14 | 16 | 39 | 2447 | 63 |
| 583. | Borna Ćorić | 0 | 0 | 0 | 1 | 2 | 6 | 8 | 19 | 36 | 2129 | 59 |
| 584. | JoAnne Russell | 0 | 0 | 0 | 1 | 2 | 6 | 7 | 11 | 27 | 1991 | 74 |
| 585. | Mel Purcell | 0 | 0 | 0 | 1 | 2 | 6 | 6 | 7 | 22 | 1893 | 86 |
| 586. | Brad Drewett | 0 | 0 | 0 | 1 | 2 | 5 | 13 | 13 | 34 | 2249 | 66 |
| 587. | Paul Annacone | 0 | 0 | 0 | 1 | 2 | 5 | 8 | 6 | 22 | 1889 | 86 |
| 588. | Ismail El Shafei | 0 | 0 | 0 | 1 | 2 | 5 | 6 | 13 | 27 | 1843 | 68 |
| 589. | Sebastian Korda | 0 | 0 | 0 | 1 | 2 | 5 | 4 | 8 | 20 | 1677 | 84 |
| 590. | Eva Pfaff | 0 | 0 | 0 | 1 | 2 | 4 | 11 | 19 | 37 | 2083 | 56 |
| 591. | Marie Bouzková | 0 | 0 | 0 | 1 | 2 | 4 | 8 | 15 | 30 | 1869 | 62 |
| 592. | Veronika Kudermetova | 0 | 0 | 0 | 1 | 2 | 4 | 6 | 13 | 26 | 1733 | 67 |
| 593. | Sabine Hack | 0 | 0 | 0 | 1 | 2 | 4 | 6 | 13 | 26 | 1733 | 67 |
| 594. | Paul Kronk | 0 | 0 | 0 | 1 | 2 | 4 | 5 | 14 | 26 | 1685 | 65 |
| 595. | Łukasz Kubot | 0 | 0 | 0 | 1 | 2 | 4 | 4 | 9 | 20 | 1577 | 79 |
| 596. | Tatiana Golovin | 0 | 0 | 0 | 1 | 2 | 4 | 4 | 6 | 17 | 1547 | 91 |
| 597. | Linda Tuero | 0 | 0 | 0 | 1 | 2 | 4 | 3 | 2 | 12 | 1449 | 121 |
| 598. | Dan Goldie | 0 | 0 | 0 | 1 | 2 | 4 | 1 | 9 | 17 | 1403 | 83 |
| 599. | Barbara Hawcroft | 0 | 0 | 0 | 1 | 2 | 4 | 1 | 0 | 8 | 1313 | 164 |
| 600. | Ion Țiriac | 0 | 0 | 0 | 1 | 2 | 3 | 10 | 4 | 20 | 1765 | 88 |
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.