| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1501. | Kjell Johansson | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 6 | 12 | 564 | 47 |
| 1502. | Maja Matevžič | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 5 | 11 | 554 | 50 |
| 1503. | Michelle Larcher de Brito | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 10 | 544 | 54 |
| 1504. | Iwona Kuczyńska | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 10 | 544 | 54 |
| 1505. | Caroline Stoll | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 2 | 8 | 524 | 66 |
| 1506. | Graeme Thomson | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 2 | 8 | 524 | 66 |
| 1507. | Florence Guedy | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 1 | 7 | 514 | 73 |
| 1508. | Trudy Groenman | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 6 | 504 | 84 |
| 1509. | Ada Bakker | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 6 | 504 | 84 |
| 1510. | Jaqueline Cristian | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 10 | 15 | 546 | 36 |
| 1511. | Belus Prajoux | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 10 | 15 | 546 | 36 |
| 1512. | Dalma Gálfi | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 8 | 13 | 526 | 40 |
| 1513. | Zhang Zhizhen | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 8 | 13 | 526 | 40 |
| 1514. | Yuliia Starodubtseva | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 6 | 11 | 506 | 46 |
| 1515. | Francisco Comesaña | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 4 | 9 | 486 | 54 |
| 1516. | CiCi Bellis | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 4 | 9 | 486 | 54 |
| 1517. | Petre Marmureanu | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 3 | 8 | 476 | 60 |
| 1518. | Tine Zwaan | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 2 | 7 | 466 | 67 |
| 1519. | Carol Sherriff | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 6 | 456 | 76 |
| 1520. | Heide Orth | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 6 | 456 | 76 |
| 1521. | Jan Leschly | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 6 | 456 | 76 |
| 1522. | Daniele Bouteleux | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 0 | 5 | 446 | 89 |
| 1523. | Marketa Kochta | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 9 | 13 | 478 | 37 |
| 1524. | Beverly Mould | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 6 | 10 | 448 | 45 |
| 1525. | Vicki Lancaster | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 3 | 7 | 418 | 60 |
| 1526. | Helle Sparre | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 6 | 408 | 68 |
| 1527. | Karen Gulley | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 5 | 398 | 80 |
| 1528. | Mandy Morgan | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 4 | 388 | 97 |
| 1529. | Markus Zoecke | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 14 | 17 | 470 | 28 |
| 1530. | Eva Švíglerová | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 11 | 14 | 440 | 31 |
| 1531. | Vincent Van Patten | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 11 | 14 | 440 | 31 |
| 1532. | Thiemo De Bakker | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 10 | 13 | 430 | 33 |
| 1533. | Charlie Owens | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 6 | 360 | 60 |
| 1534. | Nikola Bartůňková | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 4 | 340 | 85 |
| 1535. | Florent Serra | 0 | 0 | 0 | 0 | 0 | 2 | 17 | 14 | 33 | 1346 | 41 |
| 1536. | Robin Haase | 0 | 0 | 0 | 0 | 0 | 2 | 16 | 26 | 44 | 1408 | 32 |
| 1537. | Maria Elena Camerin | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 21 | 35 | 1126 | 32 |
| 1538. | Sara Gomer | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 17 | 31 | 1086 | 35 |
| 1539. | Roberto Carballés Baena | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 16 | 30 | 1076 | 36 |
| 1540. | Iris Riedel-Kühn | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 2 | 16 | 936 | 59 |
| 1541. | Steve Darcis | 0 | 0 | 0 | 0 | 0 | 2 | 11 | 20 | 33 | 1058 | 32 |
| 1542. | Lourdes Domínguez Lino | 0 | 0 | 0 | 0 | 0 | 2 | 11 | 20 | 33 | 1058 | 32 |
| 1543. | Kristýna Plíšková | 0 | 0 | 0 | 0 | 0 | 2 | 11 | 17 | 30 | 1028 | 34 |
| 1544. | Catherine Suire | 0 | 0 | 0 | 0 | 0 | 2 | 11 | 16 | 29 | 1018 | 35 |
| 1545. | Ryan Harrison | 0 | 0 | 0 | 0 | 0 | 2 | 10 | 17 | 29 | 970 | 33 |
| 1546. | Mariana Díaz Oliva | 0 | 0 | 0 | 0 | 0 | 2 | 10 | 17 | 29 | 970 | 33 |
| 1547. | Philipp Petzschner | 0 | 0 | 0 | 0 | 0 | 2 | 10 | 9 | 21 | 890 | 42 |
| 1548. | Stefano Pescosolido | 0 | 0 | 0 | 0 | 0 | 2 | 10 | 8 | 20 | 880 | 44 |
| 1549. | Fritz Buehning | 0 | 0 | 0 | 0 | 0 | 2 | 10 | 4 | 16 | 840 | 53 |
| 1550. | Lars Burgsmüller | 0 | 0 | 0 | 0 | 0 | 2 | 9 | 15 | 26 | 892 | 34 |
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.