| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1701. | Judith Szorenyi | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 5 | 298 | 60 |
| 1702. | Michael Zheng | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 288 | 72 |
| 1703. | Valentin Vacherot | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 288 | 72 |
| 1704. | Christophe Van Garsse | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 288 | 72 |
| 1705. | Michelle Boulle | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 288 | 72 |
| 1706. | Maureen Pratt | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 3 | 278 | 93 |
| 1707. | Patricia Cody | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 3 | 278 | 93 |
| 1708. | Connie Capozzi | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 3 | 278 | 93 |
| 1709. | Marianna Brummer | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 3 | 278 | 93 |
| 1710. | Nuria Párrizas Díaz | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 8 | 10 | 300 | 30 |
| 1711. | Jeff Simpson | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 8 | 10 | 300 | 30 |
| 1712. | Claudine Schaul | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 8 | 280 | 35 |
| 1713. | Nina Bratchikova | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 7 | 270 | 39 |
| 1714. | Frank Gebert | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 7 | 270 | 39 |
| 1715. | Raphaël Collignon | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 6 | 260 | 43 |
| 1716. | Giulia Casoni | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 6 | 260 | 43 |
| 1717. | Leigh-Anne Eldredge | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 6 | 260 | 43 |
| 1718. | Eric Korita | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 6 | 260 | 43 |
| 1719. | Mary Carillo | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 6 | 260 | 43 |
| 1720. | Mauricio Hadad | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 5 | 250 | 50 |
| 1721. | Bret Garnett | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 5 | 250 | 50 |
| 1722. | Paul Hutchins | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 5 | 250 | 50 |
| 1723. | Ivana Lisjak | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 230 | 77 |
| 1724. | Anne Coleman | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 230 | 77 |
| 1725. | Rita Bentley | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 230 | 77 |
| 1726. | Sandra Walsham | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 230 | 77 |
| 1727. | Kerstin Seelbach | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 230 | 77 |
| 1728. | Linda Cassell | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 220 | 110 |
| 1729. | Brenda Catton | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 220 | 110 |
| 1730. | Cathy Griffiths | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 220 | 110 |
| 1731. | John Stephens | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 220 | 110 |
| 1732. | Helen Worland | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 220 | 110 |
| 1733. | Cheryl Norquay | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 220 | 110 |
| 1734. | Adrienne Avis | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 220 | 110 |
| 1735. | Darlene Hard | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 220 | 110 |
| 1736. | Silke Meier | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 15 | 31 | 1130 | 36 |
| 1737. | James Duckworth | 0 | 0 | 0 | 0 | 0 | 1 | 13 | 28 | 42 | 1144 | 27 |
| 1738. | Louise Field | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 10 | 23 | 906 | 39 |
| 1739. | Stéphanie Foretz | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 28 | 40 | 1028 | 26 |
| 1740. | Sofia Arvidsson | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 19 | 31 | 938 | 30 |
| 1741. | Meilen Tu | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 19 | 31 | 938 | 30 |
| 1742. | Sashi Menon | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 9 | 21 | 838 | 40 |
| 1743. | Tímea Babos | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 22 | 33 | 910 | 28 |
| 1744. | Antonio Munoz | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 11 | 22 | 800 | 36 |
| 1745. | Sébastien Lareau | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 10 | 21 | 790 | 38 |
| 1746. | Mathilde Johansson | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 16 | 26 | 792 | 30 |
| 1747. | Anhelina Kalinina | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 12 | 22 | 752 | 34 |
| 1748. | Arantxa Parra Santonja | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 10 | 20 | 732 | 37 |
| 1749. | Martina Muller | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 19 | 722 | 38 |
| 1750. | Caty McNally | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 4 | 14 | 672 | 48 |
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.