| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. | Serena Williams | 23 | 10 | 7 | 14 | 10 | 11 | 3 | 3 | 81 | 74550 | 920 |
| 2. | Steffi Graf | 22 | 9 | 6 | 5 | 6 | 2 | 2 | 2 | 54 | 64390 | 1192 |
| 3. | Chris Evert | 18 | 16 | 18 | 2 | 0 | 2 | 0 | 0 | 56 | 71960 | 1285 |
| 4. | Martina Navratilova | 18 | 14 | 12 | 9 | 6 | 1 | 3 | 4 | 67 | 69250 | 1034 |
| 5. | Margaret Court | 11 | 1 | 4 | 4 | 1 | 0 | 0 | 0 | 21 | 28380 | 1351 |
| 6. | Monica Seles | 9 | 4 | 5 | 13 | 3 | 3 | 2 | 1 | 40 | 33950 | 849 |
| 7. | Billie Jean King | 8 | 4 | 5 | 11 | 1 | 2 | 0 | 1 | 32 | 30340 | 948 |
| 8. | Evonne Goolagong Cawley | 7 | 11 | 4 | 4 | 2 | 3 | 2 | 0 | 33 | 34150 | 1035 |
| 9. | Venus Williams | 7 | 9 | 7 | 16 | 11 | 13 | 11 | 21 | 95 | 43350 | 456 |
| 10. | Justine Henin | 7 | 5 | 5 | 2 | 8 | 1 | 3 | 4 | 35 | 27560 | 787 |
| 11. | Iga Świątek | 6 | 0 | 3 | 5 | 8 | 4 | 2 | 1 | 29 | 19080 | 658 |
| 12. | Martina Hingis | 5 | 7 | 7 | 5 | 3 | 5 | 2 | 3 | 37 | 28250 | 764 |
| 13. | Maria Sharapova | 5 | 5 | 10 | 5 | 15 | 7 | 4 | 7 | 58 | 31310 | 540 |
| 14. | Arantxa Sánchez Vicario | 4 | 8 | 10 | 13 | 8 | 2 | 6 | 7 | 58 | 34460 | 594 |
| 15. | Kim Clijsters | 4 | 4 | 8 | 3 | 6 | 3 | 5 | 3 | 36 | 22940 | 637 |
| 16. | Hana Mandlíková | 4 | 4 | 6 | 9 | 7 | 8 | 5 | 1 | 44 | 24830 | 564 |
| 17. | Aryna Sabalenka | 4 | 4 | 6 | 2 | 3 | 4 | 4 | 5 | 32 | 20310 | 635 |
| 18. | Naomi Osaka | 4 | 0 | 1 | 0 | 3 | 14 | 5 | 6 | 33 | 11730 | 355 |
| 19. | Lindsay Davenport | 3 | 4 | 11 | 13 | 10 | 5 | 6 | 3 | 55 | 28870 | 525 |
| 20. | Angelique Kerber | 3 | 1 | 4 | 3 | 12 | 10 | 5 | 23 | 61 | 16470 | 270 |
| 21. | Jennifer Capriati | 3 | 0 | 10 | 10 | 8 | 1 | 3 | 8 | 43 | 20440 | 475 |
| 22. | Virginia Wade | 3 | 0 | 6 | 12 | 6 | 14 | 7 | 4 | 52 | 19630 | 378 |
| 23. | Ashleigh Barty | 3 | 0 | 1 | 2 | 3 | 5 | 4 | 9 | 27 | 9380 | 347 |
| 24. | Mary Pierce | 2 | 4 | 0 | 8 | 16 | 8 | 8 | 6 | 52 | 18140 | 349 |
| 25. | Victoria Azarenka | 2 | 3 | 4 | 9 | 12 | 16 | 10 | 13 | 69 | 20680 | 300 |
| 26. | Simona Halep | 2 | 3 | 4 | 7 | 6 | 3 | 8 | 13 | 46 | 16550 | 360 |
| 27. | Li Na | 2 | 2 | 2 | 4 | 6 | 8 | 4 | 5 | 33 | 12690 | 385 |
| 28. | Svetlana Kuznetsova | 2 | 2 | 1 | 11 | 16 | 11 | 9 | 19 | 71 | 18200 | 256 |
| 29. | Garbiñe Muguruza | 2 | 2 | 1 | 3 | 8 | 4 | 11 | 9 | 40 | 11970 | 299 |
| 30. | Amélie Mauresmo | 2 | 1 | 5 | 9 | 9 | 8 | 7 | 5 | 46 | 16810 | 365 |
| 31. | Petra Kvitová | 2 | 1 | 4 | 6 | 10 | 12 | 12 | 15 | 62 | 15950 | 257 |
| 32. | Coco Gauff | 2 | 1 | 2 | 5 | 7 | 3 | 3 | 4 | 27 | 11330 | 420 |
| 33. | Elena Rybakina | 2 | 1 | 1 | 3 | 4 | 6 | 7 | 3 | 27 | 9630 | 357 |
| 34. | Tracy Austin | 2 | 0 | 3 | 8 | 1 | 1 | 1 | 1 | 17 | 10230 | 602 |
| 35. | Barbora Krejčíková | 2 | 0 | 0 | 4 | 3 | 2 | 6 | 7 | 24 | 7190 | 300 |
| 36. | Jana Novotná | 1 | 3 | 5 | 13 | 9 | 8 | 4 | 7 | 50 | 18940 | 379 |
| 37. | Gabriela Sabatini | 1 | 2 | 15 | 10 | 7 | 4 | 1 | 3 | 43 | 22900 | 533 |
| 38. | Conchita Martínez | 1 | 2 | 9 | 11 | 11 | 12 | 9 | 9 | 64 | 21270 | 332 |
| 39. | Kerry Melville | 1 | 2 | 6 | 10 | 7 | 5 | 5 | 0 | 36 | 16260 | 452 |
| 40. | Caroline Wozniacki | 1 | 2 | 4 | 3 | 13 | 14 | 11 | 7 | 55 | 14790 | 269 |
| 41. | Ann Jones | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 6940 | 1157 |
| 42. | Mima Jaušovec | 1 | 2 | 2 | 5 | 5 | 13 | 9 | 5 | 42 | 11880 | 283 |
| 43. | Ana Ivanovic | 1 | 2 | 2 | 3 | 11 | 13 | 8 | 8 | 48 | 12420 | 259 |
| 44. | Madison Keys | 1 | 1 | 5 | 5 | 12 | 13 | 8 | 6 | 51 | 14540 | 285 |
| 45. | Nancy Richey | 1 | 1 | 4 | 4 | 4 | 3 | 4 | 1 | 22 | 9780 | 445 |
| 46. | Samantha Stosur | 1 | 1 | 3 | 2 | 5 | 12 | 19 | 26 | 69 | 10850 | 157 |
| 47. | Virginia Ruzici | 1 | 1 | 1 | 8 | 7 | 6 | 11 | 5 | 40 | 10800 | 270 |
| 48. | Sloane Stephens | 1 | 1 | 1 | 4 | 9 | 11 | 6 | 20 | 53 | 10010 | 189 |
| 49. | Marion Bartoli | 1 | 1 | 1 | 3 | 4 | 11 | 16 | 10 | 47 | 8980 | 191 |
| 50. | Francesca Schiavone | 1 | 1 | 0 | 5 | 11 | 13 | 13 | 26 | 70 | 10950 | 156 |
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.