| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 51. | Victoria Azarenka | 2 | 3 | 4 | 9 | 12 | 16 | 10 | 13 | 69 | 19295 | 280 |
| 52. | Simona Halep | 2 | 3 | 4 | 7 | 6 | 3 | 8 | 13 | 46 | 15699 | 341 |
| 53. | Ilie Năstase | 2 | 3 | 1 | 6 | 5 | 7 | 10 | 9 | 43 | 13360 | 311 |
| 54. | Lleyton Hewitt | 2 | 2 | 4 | 7 | 15 | 10 | 9 | 17 | 66 | 17207 | 261 |
| 55. | Marat Safin | 2 | 2 | 3 | 2 | 7 | 7 | 11 | 7 | 41 | 12488 | 305 |
| 56. | Pat Rafter | 2 | 2 | 3 | 0 | 6 | 6 | 5 | 11 | 35 | 11070 | 316 |
| 57. | Li Na | 2 | 2 | 2 | 4 | 6 | 8 | 4 | 5 | 33 | 12002 | 364 |
| 58. | Svetlana Kuznetsova | 2 | 2 | 1 | 11 | 16 | 11 | 9 | 19 | 71 | 16877 | 238 |
| 59. | Garbiñe Muguruza | 2 | 2 | 1 | 3 | 8 | 4 | 11 | 9 | 40 | 11283 | 282 |
| 60. | Amélie Mauresmo | 2 | 1 | 5 | 9 | 9 | 8 | 7 | 5 | 46 | 15781 | 343 |
| 61. | Petra Kvitová | 2 | 1 | 4 | 6 | 10 | 12 | 12 | 15 | 62 | 14886 | 240 |
| 62. | Coco Gauff | 2 | 1 | 4 | 5 | 7 | 3 | 3 | 4 | 29 | 12239 | 422 |
| 63. | Yevgeny Kafelnikov | 2 | 1 | 3 | 7 | 3 | 8 | 11 | 3 | 38 | 12443 | 327 |
| 64. | Stan Smith | 2 | 1 | 2 | 5 | 13 | 6 | 7 | 8 | 44 | 12601 | 286 |
| 65. | Sergi Bruguera | 2 | 1 | 1 | 0 | 5 | 2 | 11 | 11 | 33 | 8018 | 243 |
| 66. | Tracy Austin | 2 | 0 | 3 | 8 | 1 | 1 | 1 | 1 | 17 | 9798 | 576 |
| 67. | Johan Kriek | 2 | 0 | 3 | 6 | 3 | 11 | 5 | 6 | 36 | 10810 | 300 |
| 68. | Barbora Krejčíková | 2 | 0 | 0 | 4 | 4 | 2 | 6 | 8 | 26 | 7068 | 272 |
| 69. | Daniil Medvedev | 1 | 5 | 3 | 2 | 8 | 5 | 3 | 11 | 38 | 13804 | 363 |
| 70. | Andy Roddick | 1 | 4 | 5 | 9 | 5 | 9 | 6 | 7 | 46 | 16763 | 364 |
| 71. | Jana Novotná | 1 | 3 | 5 | 13 | 9 | 8 | 4 | 7 | 50 | 17707 | 354 |
| 72. | Michael Chang | 1 | 3 | 4 | 5 | 7 | 9 | 16 | 12 | 57 | 14233 | 250 |
| 73. | Goran Ivanišević | 1 | 3 | 3 | 7 | 5 | 9 | 9 | 14 | 51 | 13467 | 264 |
| 74. | Dominic Thiem | 1 | 3 | 2 | 2 | 7 | 2 | 7 | 13 | 37 | 10266 | 277 |
| 75. | Gabriela Sabatini | 1 | 2 | 15 | 10 | 7 | 4 | 1 | 3 | 43 | 21698 | 505 |
| 76. | Conchita Martínez | 1 | 2 | 9 | 11 | 11 | 12 | 9 | 9 | 64 | 19837 | 310 |
| 77. | Kerry Melville | 1 | 2 | 6 | 10 | 7 | 5 | 5 | 0 | 36 | 15260 | 424 |
| 78. | Vitas Gerulaitis | 1 | 2 | 5 | 3 | 6 | 3 | 9 | 9 | 38 | 11637 | 306 |
| 79. | Caroline Wozniacki | 1 | 2 | 4 | 3 | 13 | 14 | 11 | 7 | 55 | 13663 | 248 |
| 80. | Marin Čilić | 1 | 2 | 3 | 8 | 14 | 13 | 9 | 15 | 65 | 14952 | 230 |
| 81. | Michael Stich | 1 | 2 | 3 | 4 | 4 | 5 | 7 | 6 | 32 | 10186 | 318 |
| 82. | Juan Carlos Ferrero | 1 | 2 | 3 | 3 | 6 | 13 | 9 | 9 | 46 | 11237 | 244 |
| 83. | Ann Jones | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 6750 | 1125 |
| 84. | Mima Jaušovec | 1 | 2 | 2 | 5 | 5 | 13 | 9 | 5 | 42 | 11027 | 263 |
| 85. | Pat Cash | 1 | 2 | 2 | 4 | 5 | 3 | 6 | 11 | 34 | 9418 | 277 |
| 86. | Ana Ivanovic | 1 | 2 | 2 | 3 | 11 | 13 | 8 | 8 | 48 | 11469 | 239 |
| 87. | Madison Keys | 1 | 1 | 5 | 5 | 13 | 14 | 8 | 6 | 53 | 13769 | 260 |
| 88. | Juan Martín del Potro | 1 | 1 | 4 | 7 | 4 | 7 | 10 | 3 | 37 | 11235 | 304 |
| 89. | Roscoe Tanner | 1 | 1 | 4 | 5 | 7 | 8 | 4 | 4 | 34 | 10847 | 319 |
| 90. | Nancy Richey | 1 | 1 | 4 | 4 | 4 | 3 | 4 | 1 | 22 | 9242 | 420 |
| 91. | Samantha Stosur | 1 | 1 | 3 | 2 | 5 | 12 | 19 | 26 | 69 | 10022 | 145 |
| 92. | Manuel Orantes | 1 | 1 | 2 | 5 | 4 | 4 | 5 | 8 | 30 | 8375 | 279 |
| 93. | Andrés Gimeno | 1 | 1 | 2 | 1 | 3 | 2 | 2 | 3 | 15 | 6141 | 409 |
| 94. | Virginia Ruzici | 1 | 1 | 1 | 8 | 7 | 6 | 11 | 5 | 40 | 9978 | 249 |
| 95. | Carlos Moyá | 1 | 1 | 1 | 5 | 5 | 5 | 15 | 14 | 47 | 8585 | 183 |
| 96. | Sloane Stephens | 1 | 1 | 1 | 4 | 9 | 11 | 7 | 20 | 54 | 9286 | 172 |
| 97. | Marion Bartoli | 1 | 1 | 1 | 3 | 4 | 11 | 16 | 10 | 47 | 8263 | 176 |
| 98. | Francesca Schiavone | 1 | 1 | 0 | 5 | 11 | 13 | 13 | 26 | 70 | 9979 | 143 |
| 99. | Petr Korda | 1 | 1 | 0 | 4 | 4 | 5 | 10 | 14 | 39 | 6940 | 178 |
| 100. | Markéta Vondroušová | 1 | 1 | 0 | 3 | 3 | 3 | 8 | 9 | 28 | 5949 | 212 |
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.