| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1601. | Pamela Austin | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 0 | 7 | 510 | 73 |
| 1602. | Jana Nejedly | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 18 | 24 | 632 | 26 |
| 1603. | Gréta Arn | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 17 | 23 | 622 | 27 |
| 1604. | Diego Nargiso | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 17 | 23 | 622 | 27 |
| 1605. | Rebecca Marino | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 14 | 20 | 592 | 30 |
| 1606. | Greet Minnen | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 14 | 20 | 592 | 30 |
| 1607. | Mandy Minella | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 14 | 20 | 592 | 30 |
| 1608. | David Sánchez | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 13 | 19 | 582 | 31 |
| 1609. | Elena-Gabriela Ruse | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 12 | 18 | 572 | 32 |
| 1610. | Van Winitsky | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 12 | 18 | 572 | 32 |
| 1611. | Ruben Bemelmans | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 9 | 15 | 542 | 36 |
| 1612. | Sonya Jeyaseelan | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 9 | 15 | 542 | 36 |
| 1613. | Silke Frankl | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 9 | 15 | 542 | 36 |
| 1614. | Michael Mmoh | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 8 | 14 | 532 | 38 |
| 1615. | Jaime Pinto | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 8 | 14 | 532 | 38 |
| 1616. | Patrick Hombergen | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 7 | 13 | 522 | 40 |
| 1617. | Henri Laaksonen | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 6 | 12 | 512 | 43 |
| 1618. | Mariano Navone | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 5 | 11 | 502 | 46 |
| 1619. | Grega Žemlja | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 5 | 11 | 502 | 46 |
| 1620. | Chris Pridham | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 5 | 11 | 502 | 46 |
| 1621. | Marko Ostoja | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 5 | 11 | 502 | 46 |
| 1622. | Premjit Lall | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 5 | 11 | 502 | 46 |
| 1623. | Eduardo Bengoechea | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 4 | 10 | 492 | 49 |
| 1624. | Jacob Fearnley | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 3 | 9 | 482 | 54 |
| 1625. | Marco Chiudinelli | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 3 | 9 | 482 | 54 |
| 1626. | Jan Norbäck | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 3 | 9 | 482 | 54 |
| 1627. | Alex Olmedo | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 3 | 9 | 482 | 54 |
| 1628. | William Durham | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 1 | 7 | 462 | 66 |
| 1629. | Vladimir Korotkov | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 1 | 7 | 462 | 66 |
| 1630. | Carole Caldwell Graebner | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 1 | 7 | 462 | 66 |
| 1631. | Patricia Reese | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 0 | 6 | 452 | 75 |
| 1632. | Matt Mitchell | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 16 | 21 | 554 | 26 |
| 1633. | Aleksandr Bogomolov Jr. | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 15 | 20 | 544 | 27 |
| 1634. | Karsten Braasch | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 13 | 18 | 524 | 29 |
| 1635. | Beate Reinstadler | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 13 | 18 | 524 | 29 |
| 1636. | Eva Birnerová | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 12 | 17 | 514 | 30 |
| 1637. | Bobby Reynolds | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 12 | 17 | 514 | 30 |
| 1638. | Gloria Pizzichini | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 12 | 17 | 514 | 30 |
| 1639. | Angeliki Kanellopoulous | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 10 | 15 | 494 | 33 |
| 1640. | Naoko Kijimuta | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 9 | 14 | 484 | 35 |
| 1641. | Cho Yoon-jeong | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 8 | 13 | 474 | 36 |
| 1642. | Masako Yanagi | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 8 | 13 | 474 | 36 |
| 1643. | Grace Kim | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 8 | 13 | 474 | 36 |
| 1644. | Sam Groth | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 7 | 12 | 464 | 39 |
| 1645. | Vesna Dolonc | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 7 | 12 | 464 | 39 |
| 1646. | Daniele Bracciali | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 7 | 12 | 464 | 39 |
| 1647. | Lars-Anders Wahlgren | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 6 | 11 | 454 | 41 |
| 1648. | Juan Gisbert Sr. | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 6 | 11 | 454 | 41 |
| 1649. | Jared Donaldson | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 5 | 10 | 444 | 44 |
| 1650. | Peter Elter | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 5 | 10 | 444 | 44 |
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.