| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 751. | Tine Zwaan | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 2 | 7 | 550 | 79 |
| 752. | Carol Sherriff | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 6 | 540 | 90 |
| 753. | Heide Orth | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 6 | 540 | 90 |
| 754. | Daniele Bouteleux | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 0 | 5 | 530 | 106 |
| 755. | Marketa Kochta | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 9 | 13 | 550 | 42 |
| 756. | Beverly Mould | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 6 | 10 | 520 | 52 |
| 757. | Vicki Lancaster | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 3 | 7 | 490 | 70 |
| 758. | Helle Sparre | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 6 | 480 | 80 |
| 759. | Karen Gulley | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 5 | 470 | 94 |
| 760. | Mandy Morgan | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 4 | 460 | 115 |
| 761. | Eva Švíglerová | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 11 | 14 | 500 | 36 |
| 762. | Nikola Bartůňková | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 4 | 400 | 100 |
| 763. | Maria Elena Camerin | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 21 | 35 | 1310 | 37 |
| 764. | Sara Gomer | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 17 | 31 | 1270 | 41 |
| 765. | Iris Riedel-Kühn | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 2 | 16 | 1120 | 70 |
| 766. | Lourdes Domínguez Lino | 0 | 0 | 0 | 0 | 0 | 2 | 11 | 20 | 33 | 1230 | 37 |
| 767. | Kristýna Plíšková | 0 | 0 | 0 | 0 | 0 | 2 | 11 | 17 | 30 | 1200 | 40 |
| 768. | Catherine Suire | 0 | 0 | 0 | 0 | 0 | 2 | 11 | 16 | 29 | 1190 | 41 |
| 769. | Mariana Díaz Oliva | 0 | 0 | 0 | 0 | 0 | 2 | 10 | 17 | 29 | 1130 | 39 |
| 770. | Camila Osorio | 0 | 0 | 0 | 0 | 0 | 2 | 9 | 12 | 23 | 1010 | 44 |
| 771. | Karine Quentrec | 0 | 0 | 0 | 0 | 0 | 2 | 9 | 8 | 19 | 970 | 51 |
| 772. | Galina Voskoboeva | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 14 | 24 | 960 | 40 |
| 773. | Elena Pampoulova | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 13 | 23 | 950 | 41 |
| 774. | Danka Kovinić | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 16 | 25 | 910 | 36 |
| 775. | Adriana Gerši | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 14 | 23 | 890 | 39 |
| 776. | Irina Falconi | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 12 | 21 | 870 | 41 |
| 777. | Christina Singer | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 12 | 21 | 870 | 41 |
| 778. | Mariana Duque Mariño | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 11 | 20 | 860 | 43 |
| 779. | Akgul Amanmuradova | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 11 | 20 | 860 | 43 |
| 780. | Andrea Holíková | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 2 | 11 | 770 | 70 |
| 781. | Beverly Bowes | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 18 | 26 | 860 | 33 |
| 782. | Ľudmila Cervanová | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 15 | 23 | 830 | 36 |
| 783. | Ayumi Morita | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 14 | 22 | 820 | 37 |
| 784. | Ashley Harkleroad | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 13 | 21 | 810 | 39 |
| 785. | Corina Morariu | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 13 | 21 | 810 | 39 |
| 786. | Harriet Dart | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 12 | 20 | 800 | 40 |
| 787. | Annabel Croft | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 10 | 18 | 780 | 43 |
| 788. | Nicole Gibbs | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 8 | 16 | 760 | 48 |
| 789. | Kim Steinmetz | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 7 | 15 | 750 | 50 |
| 790. | Petra Langrová | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 20 | 27 | 810 | 30 |
| 791. | Latisha Chan | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 16 | 23 | 770 | 33 |
| 792. | Janet Lee | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 14 | 21 | 750 | 36 |
| 793. | Jana Čepelová | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 10 | 17 | 710 | 42 |
| 794. | Aiko Nakamura | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 10 | 17 | 710 | 42 |
| 795. | Halle Cioffi | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 10 | 17 | 710 | 42 |
| 796. | Nancy Yeargin | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 6 | 13 | 670 | 52 |
| 797. | Brenda Kirk | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 4 | 11 | 650 | 59 |
| 798. | Pamela Austin | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 0 | 7 | 610 | 87 |
| 799. | Jana Nejedly | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 18 | 24 | 720 | 30 |
| 800. | Gréta Arn | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 17 | 23 | 710 | 31 |
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.