| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. | Novak Djokovic | 24 | 14 | 17 | 11 | 5 | 7 | 3 | 2 | 83 | 84609 | 1019 |
| 2. | Serena Williams | 23 | 10 | 7 | 14 | 10 | 11 | 3 | 4 | 82 | 72804 | 888 |
| 3. | Steffi Graf | 22 | 9 | 6 | 5 | 6 | 2 | 2 | 2 | 54 | 63341 | 1173 |
| 4. | Rafael Nadal | 22 | 8 | 8 | 9 | 7 | 5 | 6 | 3 | 68 | 65953 | 970 |
| 5. | Roger Federer | 20 | 11 | 15 | 12 | 11 | 5 | 1 | 6 | 81 | 72718 | 898 |
| 6. | Chris Evert | 18 | 16 | 18 | 2 | 0 | 2 | 0 | 0 | 56 | 70510 | 1259 |
| 7. | Martina Navratilova | 18 | 14 | 12 | 9 | 6 | 1 | 3 | 4 | 67 | 67639 | 1010 |
| 8. | Pete Sampras | 14 | 4 | 5 | 6 | 7 | 2 | 7 | 7 | 52 | 41286 | 794 |
| 9. | Björn Borg | 11 | 5 | 1 | 4 | 4 | 1 | 1 | 0 | 27 | 31588 | 1170 |
| 10. | Margaret Court | 11 | 1 | 4 | 4 | 1 | 0 | 0 | 0 | 21 | 28040 | 1335 |
| 11. | Monica Seles | 9 | 4 | 5 | 13 | 3 | 3 | 2 | 1 | 40 | 32971 | 824 |
| 12. | Ivan Lendl | 8 | 11 | 9 | 6 | 8 | 4 | 4 | 7 | 57 | 41292 | 724 |
| 13. | Jimmy Connors | 8 | 7 | 16 | 10 | 2 | 4 | 4 | 7 | 58 | 41862 | 722 |
| 14. | Andre Agassi | 8 | 7 | 11 | 10 | 6 | 3 | 7 | 9 | 61 | 39036 | 640 |
| 15. | Billie Jean King | 8 | 4 | 5 | 11 | 1 | 2 | 0 | 1 | 32 | 29535 | 923 |
| 16. | Evonne Goolagong Cawley | 7 | 11 | 4 | 4 | 2 | 3 | 2 | 0 | 33 | 33196 | 1006 |
| 17. | Venus Williams | 7 | 9 | 7 | 16 | 11 | 13 | 11 | 21 | 95 | 41408 | 436 |
| 18. | Justine Henin | 7 | 5 | 5 | 2 | 8 | 1 | 3 | 4 | 35 | 26794 | 766 |
| 19. | John McEnroe | 7 | 4 | 8 | 7 | 7 | 2 | 4 | 6 | 45 | 29747 | 661 |
| 20. | Mats Wilander | 7 | 4 | 3 | 6 | 6 | 5 | 8 | 5 | 44 | 25944 | 590 |
| 21. | Carlos Alcaraz | 7 | 1 | 2 | 4 | 1 | 2 | 3 | 0 | 20 | 18934 | 947 |
| 22. | Stefan Edberg | 6 | 5 | 8 | 7 | 7 | 4 | 13 | 4 | 54 | 29719 | 550 |
| 23. | Boris Becker | 6 | 4 | 8 | 5 | 8 | 5 | 5 | 5 | 46 | 27545 | 599 |
| 24. | Iga Świątek | 6 | 0 | 3 | 5 | 8 | 5 | 2 | 1 | 30 | 18581 | 619 |
| 25. | Martina Hingis | 5 | 7 | 7 | 5 | 3 | 5 | 2 | 3 | 37 | 27301 | 738 |
| 26. | Maria Sharapova | 5 | 5 | 10 | 5 | 15 | 7 | 4 | 7 | 58 | 29947 | 516 |
| 27. | John Newcombe | 5 | 2 | 3 | 8 | 3 | 2 | 0 | 3 | 26 | 18790 | 723 |
| 28. | Jannik Sinner | 5 | 2 | 3 | 5 | 5 | 0 | 3 | 4 | 27 | 17989 | 666 |
| 29. | Rod Laver | 5 | 1 | 0 | 1 | 6 | 1 | 1 | 0 | 15 | 13073 | 872 |
| 30. | Arantxa Sánchez Vicario | 4 | 8 | 10 | 13 | 8 | 2 | 6 | 7 | 58 | 32953 | 568 |
| 31. | Kim Clijsters | 4 | 4 | 8 | 3 | 6 | 3 | 5 | 3 | 36 | 22095 | 614 |
| 32. | Hana Mandlíková | 4 | 4 | 6 | 9 | 7 | 8 | 5 | 1 | 44 | 23705 | 539 |
| 33. | Aryna Sabalenka | 4 | 4 | 6 | 2 | 4 | 4 | 4 | 5 | 33 | 19852 | 602 |
| 34. | Ken Rosewall | 4 | 4 | 5 | 2 | 4 | 3 | 1 | 0 | 23 | 18768 | 816 |
| 35. | Guillermo Vilas | 4 | 4 | 4 | 7 | 8 | 7 | 6 | 9 | 49 | 21653 | 442 |
| 36. | Jim Courier | 4 | 3 | 4 | 4 | 7 | 4 | 8 | 8 | 42 | 18784 | 447 |
| 37. | Naomi Osaka | 4 | 0 | 1 | 1 | 3 | 14 | 5 | 6 | 34 | 11665 | 343 |
| 38. | Andy Murray | 3 | 8 | 10 | 9 | 8 | 7 | 7 | 8 | 60 | 29991 | 500 |
| 39. | Lindsay Davenport | 3 | 4 | 11 | 13 | 10 | 5 | 6 | 3 | 55 | 27413 | 498 |
| 40. | Arthur Ashe | 3 | 2 | 5 | 5 | 9 | 4 | 1 | 2 | 31 | 16633 | 537 |
| 41. | Jan Kodeš | 3 | 2 | 1 | 4 | 6 | 3 | 8 | 9 | 36 | 12974 | 360 |
| 42. | Stan Wawrinka | 3 | 1 | 5 | 9 | 10 | 15 | 14 | 20 | 77 | 19317 | 251 |
| 43. | Angelique Kerber | 3 | 1 | 4 | 3 | 12 | 10 | 5 | 23 | 61 | 15575 | 255 |
| 44. | Jennifer Capriati | 3 | 0 | 10 | 10 | 8 | 1 | 3 | 8 | 43 | 19494 | 453 |
| 45. | Virginia Wade | 3 | 0 | 6 | 12 | 6 | 14 | 7 | 4 | 52 | 18486 | 356 |
| 46. | Ashleigh Barty | 3 | 0 | 1 | 2 | 3 | 5 | 4 | 9 | 27 | 9042 | 335 |
| 47. | Gustavo Kuerten | 3 | 0 | 0 | 5 | 3 | 3 | 9 | 10 | 33 | 9557 | 290 |
| 48. | Mary Pierce | 2 | 4 | 0 | 8 | 16 | 8 | 8 | 6 | 52 | 16924 | 325 |
| 49. | Victoria Azarenka | 2 | 3 | 4 | 9 | 12 | 16 | 10 | 13 | 69 | 19295 | 280 |
| 50. | Simona Halep | 2 | 3 | 4 | 7 | 6 | 3 | 8 | 13 | 46 | 15699 | 341 |
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.