| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1451. | Sandon Stolle | 0 | 0 | 0 | 0 | 0 | 3 | 9 | 9 | 21 | 942 | 45 |
| 1452. | Alexandra Dulgheru | 0 | 0 | 0 | 0 | 0 | 3 | 9 | 8 | 20 | 932 | 47 |
| 1453. | Sandra Collins | 0 | 0 | 0 | 0 | 0 | 3 | 8 | 19 | 30 | 984 | 33 |
| 1454. | Jonathan Stark | 0 | 0 | 0 | 0 | 0 | 3 | 8 | 12 | 23 | 914 | 40 |
| 1455. | Luiz Mattar | 0 | 0 | 0 | 0 | 0 | 3 | 8 | 12 | 23 | 914 | 40 |
| 1456. | Meike Babel | 0 | 0 | 0 | 0 | 0 | 3 | 8 | 8 | 19 | 874 | 46 |
| 1457. | Sílvia Soler Espinosa | 0 | 0 | 0 | 0 | 0 | 3 | 8 | 6 | 17 | 854 | 50 |
| 1458. | Cristina Torrens-Valero | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 20 | 30 | 936 | 31 |
| 1459. | Melinda Czink | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 17 | 27 | 906 | 34 |
| 1460. | Patricia Tarabini | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 14 | 24 | 876 | 37 |
| 1461. | Akiko Morigami | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 13 | 23 | 866 | 38 |
| 1462. | Paul Goldstein | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 11 | 21 | 846 | 40 |
| 1463. | Alvin Gardiner | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 9 | 19 | 826 | 43 |
| 1464. | Gianni Ocleppo | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 6 | 16 | 796 | 50 |
| 1465. | Tanya Harford | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 6 | 16 | 796 | 50 |
| 1466. | Fred McNair | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 6 | 16 | 796 | 50 |
| 1467. | Jan Kukal | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 5 | 15 | 786 | 52 |
| 1468. | Helena Anliot | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 2 | 12 | 756 | 63 |
| 1469. | Silvija Talaja | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 19 | 28 | 868 | 31 |
| 1470. | Raemon Sluiter | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 14 | 23 | 818 | 36 |
| 1471. | Dally Randriantefy | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 12 | 21 | 798 | 38 |
| 1472. | Tina Pisnik | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 12 | 21 | 798 | 38 |
| 1473. | Tatiana Perebiynis | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 10 | 19 | 778 | 41 |
| 1474. | John Bartlett | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 8 | 17 | 758 | 45 |
| 1475. | Mimmi Wikstedt | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 7 | 16 | 748 | 47 |
| 1476. | Ove Bengston | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 7 | 16 | 748 | 47 |
| 1477. | Fábián Marozsán | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 5 | 14 | 728 | 52 |
| 1478. | Karim Alami | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 16 | 24 | 780 | 33 |
| 1479. | Jim Pugh | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 11 | 19 | 730 | 38 |
| 1480. | Ray Keldie | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 9 | 17 | 710 | 42 |
| 1481. | Maria Strandlund | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 8 | 16 | 700 | 44 |
| 1482. | Ján Krošlák | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 7 | 15 | 690 | 46 |
| 1483. | Yone Kamio | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 7 | 15 | 690 | 46 |
| 1484. | Mike Bauer | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 6 | 14 | 680 | 49 |
| 1485. | Nanne Dahlman | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 4 | 12 | 660 | 55 |
| 1486. | Sue Stap | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 2 | 10 | 640 | 64 |
| 1487. | Jill Cooper | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 1 | 9 | 630 | 70 |
| 1488. | Marissa Irvin | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 15 | 22 | 712 | 32 |
| 1489. | Christopher O'Connell | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 14 | 21 | 702 | 33 |
| 1490. | Evie Dominikovic | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 11 | 18 | 672 | 37 |
| 1491. | Flora Perfetti | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 10 | 17 | 662 | 39 |
| 1492. | Caroline Kuhlman | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 9 | 16 | 652 | 41 |
| 1493. | Terry Ryan | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 7 | 14 | 632 | 45 |
| 1494. | Toshiro Sakai | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 3 | 10 | 592 | 59 |
| 1495. | Ángeles Montolio | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 15 | 21 | 654 | 31 |
| 1496. | Anne-Gaëlle Sidot | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 12 | 18 | 624 | 35 |
| 1497. | Nathalie Baudone | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 9 | 15 | 594 | 40 |
| 1498. | José Edison Mandarino | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 9 | 15 | 594 | 40 |
| 1499. | Nancy Feber | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 6 | 12 | 564 | 47 |
| 1500. | Julie Harrington | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 6 | 12 | 564 | 47 |
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.