| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 701. | Melissa Gurney | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 5 | 12 | 780 | 65 |
| 702. | Rika Hiraki | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 14 | 20 | 800 | 40 |
| 703. | Els Callens | 0 | 0 | 0 | 0 | 0 | 3 | 15 | 17 | 35 | 1610 | 46 |
| 704. | Anne Kremer | 0 | 0 | 0 | 0 | 0 | 3 | 14 | 15 | 32 | 1520 | 48 |
| 705. | Kurumi Nara | 0 | 0 | 0 | 0 | 0 | 3 | 13 | 9 | 25 | 1390 | 56 |
| 706. | Katie Boulter | 0 | 0 | 0 | 0 | 0 | 3 | 11 | 8 | 22 | 1240 | 56 |
| 707. | Johanna Larsson | 0 | 0 | 0 | 0 | 0 | 3 | 10 | 24 | 37 | 1330 | 36 |
| 708. | Beth Herr | 0 | 0 | 0 | 0 | 0 | 3 | 10 | 13 | 26 | 1220 | 47 |
| 709. | Elena Baltacha | 0 | 0 | 0 | 0 | 0 | 3 | 10 | 11 | 24 | 1200 | 50 |
| 710. | Etsuko Inoue | 0 | 0 | 0 | 0 | 0 | 3 | 9 | 13 | 25 | 1150 | 46 |
| 711. | Alexandra Dulgheru | 0 | 0 | 0 | 0 | 0 | 3 | 9 | 8 | 20 | 1100 | 55 |
| 712. | Sandra Collins | 0 | 0 | 0 | 0 | 0 | 3 | 8 | 19 | 30 | 1140 | 38 |
| 713. | Meike Babel | 0 | 0 | 0 | 0 | 0 | 3 | 8 | 8 | 19 | 1030 | 54 |
| 714. | Sílvia Soler Espinosa | 0 | 0 | 0 | 0 | 0 | 3 | 8 | 6 | 17 | 1010 | 59 |
| 715. | Cristina Torrens-Valero | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 20 | 30 | 1080 | 36 |
| 716. | Melinda Czink | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 17 | 27 | 1050 | 39 |
| 717. | Patricia Tarabini | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 14 | 24 | 1020 | 43 |
| 718. | Akiko Morigami | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 13 | 23 | 1010 | 44 |
| 719. | Tanya Harford | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 6 | 16 | 940 | 59 |
| 720. | Helena Anliot | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 2 | 12 | 900 | 75 |
| 721. | Silvija Talaja | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 19 | 28 | 1000 | 36 |
| 722. | Dally Randriantefy | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 12 | 21 | 930 | 44 |
| 723. | Tina Pisnik | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 12 | 21 | 930 | 44 |
| 724. | Tatiana Perebiynis | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 10 | 19 | 910 | 48 |
| 725. | Mimmi Wikstedt | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 7 | 16 | 880 | 55 |
| 726. | Maria Strandlund | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 8 | 16 | 820 | 51 |
| 727. | Yone Kamio | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 7 | 15 | 810 | 54 |
| 728. | Nanne Dahlman | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 4 | 12 | 780 | 65 |
| 729. | Sue Stap | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 2 | 10 | 760 | 76 |
| 730. | Jill Cooper | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 1 | 9 | 750 | 83 |
| 731. | Marissa Irvin | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 15 | 22 | 820 | 37 |
| 732. | Evie Dominikovic | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 11 | 18 | 780 | 43 |
| 733. | Flora Perfetti | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 10 | 17 | 770 | 45 |
| 734. | Caroline Kuhlman | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 9 | 16 | 760 | 48 |
| 735. | Ángeles Montolio | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 15 | 21 | 750 | 36 |
| 736. | Anne-Gaëlle Sidot | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 12 | 18 | 720 | 40 |
| 737. | Nathalie Baudone | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 9 | 15 | 690 | 46 |
| 738. | Nancy Feber | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 6 | 12 | 660 | 55 |
| 739. | Julie Harrington | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 6 | 12 | 660 | 55 |
| 740. | Maja Matevžič | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 5 | 11 | 650 | 59 |
| 741. | Michelle Larcher de Brito | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 10 | 640 | 64 |
| 742. | Iwona Kuczyńska | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 10 | 640 | 64 |
| 743. | Caroline Stoll | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 2 | 8 | 620 | 78 |
| 744. | Florence Guedy | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 1 | 7 | 610 | 87 |
| 745. | Trudy Groenman | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 6 | 600 | 100 |
| 746. | Ada Bakker | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 6 | 600 | 100 |
| 747. | Jaqueline Cristian | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 10 | 15 | 630 | 42 |
| 748. | Dalma Gálfi | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 8 | 13 | 610 | 47 |
| 749. | Yuliia Starodubtseva | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 6 | 11 | 590 | 54 |
| 750. | CiCi Bellis | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 4 | 9 | 570 | 63 |
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.