| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 801. | John Frawley | 0 | 0 | 0 | 0 | 3 | 4 | 2 | 6 | 15 | 1246 | 83 |
| 802. | Ugo Humbert | 0 | 0 | 0 | 0 | 3 | 3 | 7 | 18 | 31 | 1546 | 50 |
| 803. | Mariana Simionescu | 0 | 0 | 0 | 0 | 3 | 3 | 7 | 5 | 18 | 1416 | 79 |
| 804. | Lesley Charles | 0 | 0 | 0 | 0 | 3 | 3 | 7 | 4 | 17 | 1406 | 83 |
| 805. | Kristien Kemmer Shaw | 0 | 0 | 0 | 0 | 3 | 3 | 6 | 3 | 15 | 1338 | 89 |
| 806. | Francisco Cerúndolo | 0 | 0 | 0 | 0 | 3 | 3 | 5 | 8 | 19 | 1330 | 70 |
| 807. | Greg Holmes | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 6 | 16 | 1252 | 78 |
| 808. | Stephanie Rehe | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 5 | 15 | 1242 | 83 |
| 809. | Kristy Pigeon | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 4 | 14 | 1232 | 88 |
| 810. | Jordan Thompson | 0 | 0 | 0 | 0 | 3 | 2 | 15 | 22 | 42 | 1940 | 46 |
| 811. | Nathalie Fuchs | 0 | 0 | 0 | 0 | 3 | 2 | 10 | 2 | 17 | 1450 | 85 |
| 812. | Wang Xinyu | 0 | 0 | 0 | 0 | 3 | 2 | 8 | 8 | 21 | 1394 | 66 |
| 813. | Scott Draper | 0 | 0 | 0 | 0 | 3 | 2 | 7 | 22 | 34 | 1476 | 43 |
| 814. | Donna Faber | 0 | 0 | 0 | 0 | 3 | 2 | 7 | 7 | 19 | 1326 | 70 |
| 815. | Beth Norton | 0 | 0 | 0 | 0 | 3 | 2 | 7 | 4 | 16 | 1296 | 81 |
| 816. | Patricia Bostrom | 0 | 0 | 0 | 0 | 3 | 2 | 4 | 3 | 12 | 1112 | 93 |
| 817. | Christine Truman | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 1 | 6 | 808 | 135 |
| 818. | Barbara Rittner | 0 | 0 | 0 | 0 | 2 | 12 | 18 | 18 | 50 | 2964 | 59 |
| 819. | Dmitry Tursunov | 0 | 0 | 0 | 0 | 2 | 11 | 10 | 24 | 47 | 2450 | 52 |
| 820. | Robin White | 0 | 0 | 0 | 0 | 2 | 11 | 8 | 10 | 31 | 2194 | 71 |
| 821. | Dan Evans | 0 | 0 | 0 | 0 | 2 | 11 | 5 | 15 | 33 | 2070 | 63 |
| 822. | Wendy Gilchrist | 0 | 0 | 0 | 0 | 2 | 10 | 7 | 3 | 22 | 1956 | 89 |
| 823. | Leonardo Mayer | 0 | 0 | 0 | 0 | 2 | 9 | 10 | 18 | 39 | 2170 | 56 |
| 824. | Richard Fromberg | 0 | 0 | 0 | 0 | 2 | 8 | 12 | 23 | 45 | 2226 | 49 |
| 825. | Miriam Oremans | 0 | 0 | 0 | 0 | 2 | 8 | 12 | 22 | 44 | 2216 | 50 |
| 826. | Sargis Sargsian | 0 | 0 | 0 | 0 | 2 | 8 | 12 | 13 | 35 | 2126 | 61 |
| 827. | Jack Sock | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 11 | 31 | 1990 | 64 |
| 828. | Albert Montañés | 0 | 0 | 0 | 0 | 2 | 8 | 8 | 35 | 53 | 2114 | 40 |
| 829. | Anne White | 0 | 0 | 0 | 0 | 2 | 8 | 7 | 7 | 24 | 1776 | 74 |
| 830. | Guillermo García López | 0 | 0 | 0 | 0 | 2 | 7 | 24 | 24 | 57 | 2822 | 50 |
| 831. | Varvara Lepchenko | 0 | 0 | 0 | 0 | 2 | 7 | 14 | 23 | 46 | 2232 | 49 |
| 832. | Anna Smashnova | 0 | 0 | 0 | 0 | 2 | 7 | 10 | 30 | 49 | 2070 | 42 |
| 833. | Taylor Dent | 0 | 0 | 0 | 0 | 2 | 7 | 8 | 10 | 27 | 1754 | 65 |
| 834. | Amanda Tobin | 0 | 0 | 0 | 0 | 2 | 7 | 5 | 7 | 21 | 1550 | 74 |
| 835. | Mikhail Kukushkin | 0 | 0 | 0 | 0 | 2 | 6 | 10 | 27 | 45 | 1930 | 43 |
| 836. | Jiří Veselý | 0 | 0 | 0 | 0 | 2 | 6 | 10 | 21 | 39 | 1870 | 48 |
| 837. | Elna Reinach | 0 | 0 | 0 | 0 | 2 | 6 | 10 | 18 | 36 | 1840 | 51 |
| 838. | João Sousa | 0 | 0 | 0 | 0 | 2 | 6 | 9 | 21 | 38 | 1812 | 48 |
| 839. | Thierry Tulasne | 0 | 0 | 0 | 0 | 2 | 6 | 7 | 13 | 28 | 1616 | 58 |
| 840. | Alexei Popyrin | 0 | 0 | 0 | 0 | 2 | 6 | 6 | 16 | 30 | 1588 | 53 |
| 841. | Julie Anthony | 0 | 0 | 0 | 0 | 2 | 6 | 6 | 3 | 17 | 1458 | 86 |
| 842. | Zarina Diyas | 0 | 0 | 0 | 0 | 2 | 6 | 5 | 14 | 27 | 1510 | 56 |
| 843. | Laura Rossouw | 0 | 0 | 0 | 0 | 2 | 6 | 5 | 2 | 15 | 1390 | 93 |
| 844. | Rolf Gehring | 0 | 0 | 0 | 0 | 2 | 6 | 1 | 7 | 16 | 1208 | 76 |
| 845. | Richey Reneberg | 0 | 0 | 0 | 0 | 2 | 5 | 15 | 24 | 46 | 2080 | 45 |
| 846. | Aliaksandra Sasnovich | 0 | 0 | 0 | 0 | 2 | 5 | 14 | 17 | 38 | 1952 | 51 |
| 847. | Miomir Kecmanović | 0 | 0 | 0 | 0 | 2 | 5 | 12 | 11 | 30 | 1776 | 59 |
| 848. | Bethanie Mattek-Sands | 0 | 0 | 0 | 0 | 2 | 5 | 11 | 24 | 42 | 1848 | 44 |
| 849. | Åsa Svensson | 0 | 0 | 0 | 0 | 2 | 5 | 11 | 19 | 37 | 1798 | 49 |
| 850. | Alycia Moulton | 0 | 0 | 0 | 0 | 2 | 5 | 11 | 8 | 26 | 1688 | 65 |
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.