| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1551. | Alex O'Brien | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 14 | 24 | 824 | 34 |
| 1552. | Elena Pampoulova | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 13 | 23 | 814 | 35 |
| 1553. | Blaž Kavčič | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 11 | 21 | 794 | 38 |
| 1554. | Danka Kovinić | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 16 | 25 | 786 | 31 |
| 1555. | Malek Jaziri | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 15 | 24 | 776 | 32 |
| 1556. | Adriana Gerši | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 14 | 23 | 766 | 33 |
| 1557. | Irina Falconi | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 12 | 21 | 746 | 36 |
| 1558. | Christina Singer | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 12 | 21 | 746 | 36 |
| 1559. | Mariana Duque Mariño | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 11 | 20 | 736 | 37 |
| 1560. | Akgul Amanmuradova | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 11 | 20 | 736 | 37 |
| 1561. | Andrea Holíková | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 2 | 11 | 646 | 59 |
| 1562. | Beverly Bowes | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 18 | 26 | 748 | 29 |
| 1563. | Evgeny Donskoy | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 15 | 23 | 718 | 31 |
| 1564. | Ľudmila Cervanová | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 15 | 23 | 718 | 31 |
| 1565. | Ayumi Morita | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 14 | 22 | 708 | 32 |
| 1566. | Rodolphe Gilbert | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 14 | 22 | 708 | 32 |
| 1567. | Ashley Harkleroad | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 13 | 21 | 698 | 33 |
| 1568. | Corina Morariu | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 13 | 21 | 698 | 33 |
| 1569. | Gary Muller | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 13 | 21 | 698 | 33 |
| 1570. | Sebastián Báez | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 11 | 19 | 678 | 36 |
| 1571. | Annabel Croft | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 10 | 18 | 668 | 37 |
| 1572. | Jun Kuki | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 10 | 18 | 668 | 37 |
| 1573. | Marcel Freeman | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 9 | 17 | 658 | 39 |
| 1574. | Nicole Gibbs | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 8 | 16 | 648 | 41 |
| 1575. | Kim Steinmetz | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 7 | 15 | 638 | 43 |
| 1576. | Jonathan Smith | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 7 | 15 | 638 | 43 |
| 1577. | Bob Maud | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 3 | 11 | 598 | 54 |
| 1578. | Chris Johnstone | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 2 | 10 | 588 | 59 |
| 1579. | Potito Starace | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 26 | 33 | 770 | 23 |
| 1580. | Petra Langrová | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 20 | 27 | 710 | 26 |
| 1581. | Luis Horna | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 18 | 25 | 690 | 28 |
| 1582. | Latisha Chan | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 16 | 23 | 670 | 29 |
| 1583. | Kristof Vliegen | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 16 | 23 | 670 | 29 |
| 1584. | Janet Lee | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 14 | 21 | 650 | 31 |
| 1585. | Dustin Brown | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 13 | 20 | 640 | 32 |
| 1586. | Harriet Dart | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 12 | 19 | 630 | 33 |
| 1587. | Jana Čepelová | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 10 | 17 | 610 | 36 |
| 1588. | Aiko Nakamura | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 10 | 17 | 610 | 36 |
| 1589. | Halle Cioffi | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 10 | 17 | 610 | 36 |
| 1590. | Jean-Baptiste Chanfreau | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 10 | 17 | 610 | 36 |
| 1591. | Hans-Joachim Plötz | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 7 | 14 | 580 | 41 |
| 1592. | Claudio Panatta | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 6 | 13 | 570 | 44 |
| 1593. | Nancy Yeargin | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 6 | 13 | 570 | 44 |
| 1594. | Hans Simonsson | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 4 | 11 | 550 | 50 |
| 1595. | Brenda Kirk | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 4 | 11 | 550 | 50 |
| 1596. | Alex Molčan | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 3 | 10 | 540 | 54 |
| 1597. | Pamela Austin | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 0 | 7 | 510 | 73 |
| 1598. | Jana Nejedly | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 18 | 24 | 632 | 26 |
| 1599. | Gréta Arn | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 17 | 23 | 622 | 27 |
| 1600. | Diego Nargiso | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 17 | 23 | 622 | 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.