| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 701. | Vladimír Zedník | 0 | 0 | 0 | 1 | 0 | 3 | 6 | 10 | 20 | 1173 | 59 |
| 702. | Kelly Evernden | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 14 | 21 | 1039 | 49 |
| 703. | Paolo Bertolucci | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 8 | 14 | 921 | 66 |
| 704. | João Fonseca | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 7 | 851 | 122 |
| 705. | Franco Davín | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 6 | 10 | 785 | 79 |
| 706. | Hendrik Dreekmann | 0 | 0 | 0 | 1 | 0 | 2 | 7 | 13 | 23 | 1151 | 50 |
| 707. | Billy Martin | 0 | 0 | 0 | 1 | 0 | 2 | 7 | 13 | 23 | 1151 | 50 |
| 708. | Corinne Molesworth | 0 | 0 | 0 | 1 | 0 | 2 | 7 | 5 | 15 | 1071 | 71 |
| 709. | Patricio Cornejo | 0 | 0 | 0 | 1 | 0 | 2 | 5 | 18 | 26 | 1085 | 42 |
| 710. | Bettina Fulco | 0 | 0 | 0 | 1 | 0 | 2 | 5 | 15 | 23 | 1055 | 46 |
| 711. | Barbara Gerken | 0 | 0 | 0 | 1 | 0 | 2 | 5 | 10 | 18 | 1005 | 56 |
| 712. | Michaëlla Krajicek | 0 | 0 | 0 | 1 | 0 | 2 | 4 | 11 | 18 | 957 | 53 |
| 713. | Drew Gitlin | 0 | 0 | 0 | 1 | 0 | 2 | 4 | 2 | 9 | 867 | 96 |
| 714. | Donna Ganz | 0 | 0 | 0 | 1 | 0 | 2 | 4 | 2 | 9 | 867 | 96 |
| 715. | Paul Chamberlin | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 3 | 8 | 761 | 95 |
| 716. | Zenda Liess | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 2 | 6 | 693 | 116 |
| 717. | Maryna Godwin | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 5 | 683 | 137 |
| 718. | Alex Rădulescu | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 6 | 9 | 675 | 75 |
| 719. | Lloyd Harris | 0 | 0 | 0 | 1 | 0 | 1 | 11 | 11 | 24 | 1253 | 52 |
| 720. | Peter Feigl | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 5 | 15 | 1019 | 68 |
| 721. | Sophie Amiach | 0 | 0 | 0 | 1 | 0 | 1 | 7 | 12 | 21 | 1031 | 49 |
| 722. | Cristiano Caratti | 0 | 0 | 0 | 1 | 0 | 1 | 6 | 14 | 22 | 993 | 45 |
| 723. | Byron Bertram | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 6 | 13 | 855 | 66 |
| 724. | Mark Dickson | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 4 | 11 | 835 | 76 |
| 725. | Rodney Harmon | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 3 | 7 | 651 | 93 |
| 726. | Eva Szabo | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1 | 5 | 631 | 126 |
| 727. | Martin Mulligan | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1 | 5 | 631 | 126 |
| 728. | Mirka Koželuhová | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 4 | 621 | 155 |
| 729. | Melissa Brown | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3 | 6 | 593 | 99 |
| 730. | Rafael Jódar | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 4 | 573 | 143 |
| 731. | Brad Pearce | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 8 | 565 | 71 |
| 732. | Elena Subirats | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 3 | 515 | 172 |
| 733. | Norma Marsh | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 505 | 253 |
| 734. | Shuzo Matsuoka | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 15 | 25 | 1067 | 43 |
| 735. | Robin Drysdale | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 15 | 871 | 58 |
| 736. | André Sá | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 10 | 16 | 785 | 49 |
| 737. | Sesil Karatantcheva | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | 14 | 765 | 55 |
| 738. | Petra Schwarz | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 11 | 16 | 737 | 46 |
| 739. | Christopher Eubanks | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 10 | 15 | 727 | 48 |
| 740. | Molly Van Nostrand | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 8 | 12 | 649 | 54 |
| 741. | Miloslava Holubova | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 4 | 521 | 130 |
| 742. | Lulu Sun | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 6 | 8 | 513 | 64 |
| 743. | Alexander Blockx | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 4 | 473 | 118 |
| 744. | Dorte Ekner | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 2 | 453 | 227 |
| 745. | Catherine Tanvier | 0 | 0 | 0 | 0 | 8 | 8 | 8 | 14 | 38 | 3164 | 83 |
| 746. | Janet Young | 0 | 0 | 0 | 0 | 7 | 7 | 1 | 2 | 17 | 2318 | 136 |
| 747. | Andreas Seppi | 0 | 0 | 0 | 0 | 6 | 11 | 23 | 27 | 67 | 4074 | 61 |
| 748. | Anne Hobbs | 0 | 0 | 0 | 0 | 6 | 9 | 10 | 8 | 33 | 2910 | 88 |
| 749. | Adrian Mannarino | 0 | 0 | 0 | 0 | 6 | 8 | 19 | 32 | 65 | 3562 | 55 |
| 750. | Paul-Henri Mathieu | 0 | 0 | 0 | 0 | 6 | 8 | 10 | 27 | 51 | 2990 | 59 |
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.