| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 51. | Thomas Muster | 1 | 0 | 3 | 5 | 5 | 9 | 3 | 13 | 39 | 7935 | 203 |
| 52. | Adriano Panatta | 1 | 0 | 2 | 3 | 2 | 11 | 7 | 5 | 31 | 6235 | 201 |
| 53. | Mark Edmondson | 1 | 0 | 2 | 2 | 1 | 9 | 7 | 17 | 39 | 5635 | 144 |
| 54. | Yannick Noah | 1 | 0 | 1 | 8 | 9 | 5 | 7 | 6 | 37 | 8045 | 217 |
| 55. | Albert Costa | 1 | 0 | 1 | 3 | 3 | 5 | 8 | 16 | 37 | 5310 | 144 |
| 56. | Thomas Johansson | 1 | 0 | 1 | 2 | 5 | 5 | 14 | 18 | 46 | 5600 | 122 |
| 57. | Andrés Gómez | 1 | 0 | 0 | 5 | 6 | 4 | 9 | 7 | 32 | 5715 | 179 |
| 58. | Brian Teacher | 1 | 0 | 0 | 2 | 3 | 6 | 13 | 9 | 34 | 4475 | 132 |
| 59. | Gastón Gaudio | 1 | 0 | 0 | 0 | 3 | 7 | 7 | 14 | 32 | 3625 | 113 |
| 60. | Tony Roche | 0 | 3 | 5 | 4 | 5 | 4 | 2 | 2 | 25 | 10010 | 400 |
| 61. | Casper Ruud | 0 | 3 | 1 | 0 | 4 | 5 | 11 | 6 | 30 | 6045 | 202 |
| 62. | Todd Martin | 0 | 2 | 4 | 4 | 7 | 11 | 11 | 9 | 48 | 9555 | 199 |
| 63. | Stefanos Tsitsipas | 0 | 2 | 4 | 2 | 5 | 4 | 9 | 10 | 36 | 7765 | 216 |
| 64. | Cédric Pioline | 0 | 2 | 2 | 4 | 5 | 6 | 12 | 16 | 47 | 7420 | 158 |
| 65. | Miloslav Mecir Sr. | 0 | 2 | 2 | 3 | 1 | 5 | 5 | 5 | 23 | 5825 | 253 |
| 66. | Àlex Corretja | 0 | 2 | 1 | 3 | 3 | 7 | 9 | 13 | 38 | 5905 | 155 |
| 67. | Kevin Curren | 0 | 2 | 1 | 1 | 5 | 4 | 10 | 6 | 29 | 5250 | 181 |
| 68. | Robin Söderling | 0 | 2 | 0 | 4 | 2 | 5 | 7 | 11 | 31 | 5075 | 164 |
| 69. | Mark Philippoussis | 0 | 2 | 0 | 3 | 9 | 4 | 10 | 10 | 38 | 6010 | 158 |
| 70. | Kevin Anderson | 0 | 2 | 0 | 1 | 11 | 10 | 7 | 17 | 48 | 6125 | 128 |
| 71. | Steve Denton | 0 | 2 | 0 | 0 | 2 | 2 | 3 | 9 | 18 | 3165 | 176 |
| 72. | Tomáš Berdych | 0 | 1 | 6 | 10 | 16 | 7 | 8 | 13 | 61 | 13120 | 215 |
| 73. | David Ferrer | 0 | 1 | 5 | 11 | 10 | 15 | 11 | 10 | 63 | 12505 | 198 |
| 74. | Jo-Wilfried Tsonga | 0 | 1 | 5 | 9 | 10 | 10 | 5 | 8 | 48 | 11045 | 230 |
| 75. | Tom Okker | 0 | 1 | 4 | 6 | 6 | 4 | 3 | 6 | 30 | 7875 | 263 |
| 76. | David Nalbandian | 0 | 1 | 4 | 5 | 4 | 10 | 8 | 4 | 36 | 7900 | 219 |
| 77. | Henri Leconte | 0 | 1 | 3 | 5 | 5 | 8 | 8 | 14 | 44 | 7280 | 165 |
| 78. | Harold Solomon | 0 | 1 | 3 | 2 | 6 | 5 | 2 | 8 | 27 | 5780 | 214 |
| 79. | Kei Nishikori | 0 | 1 | 2 | 9 | 10 | 8 | 7 | 10 | 47 | 8815 | 188 |
| 80. | Milos Raonic | 0 | 1 | 2 | 7 | 10 | 6 | 6 | 5 | 37 | 7820 | 211 |
| 81. | Aleksandr Metreveli | 0 | 1 | 2 | 5 | 4 | 2 | 7 | 3 | 24 | 5685 | 237 |
| 82. | Matteo Berrettini | 0 | 1 | 2 | 4 | 4 | 3 | 7 | 5 | 26 | 5435 | 209 |
| 83. | Taylor Fritz | 0 | 1 | 1 | 6 | 3 | 9 | 9 | 11 | 40 | 5945 | 149 |
| 84. | Fernando González | 0 | 1 | 1 | 5 | 4 | 12 | 7 | 10 | 40 | 5935 | 148 |
| 85. | Brian Gottfried | 0 | 1 | 1 | 3 | 12 | 7 | 13 | 4 | 41 | 6415 | 156 |
| 86. | Andriy Medvedev | 0 | 1 | 1 | 3 | 8 | 2 | 12 | 7 | 34 | 5230 | 154 |
| 87. | Phil Dent | 0 | 1 | 1 | 3 | 7 | 11 | 10 | 13 | 46 | 5830 | 127 |
| 88. | Guillermo Coria | 0 | 1 | 1 | 2 | 4 | 3 | 3 | 6 | 20 | 3825 | 191 |
| 89. | Dick Crealy | 0 | 1 | 1 | 2 | 3 | 7 | 12 | 13 | 39 | 4480 | 115 |
| 90. | Marcos Baghdatis | 0 | 1 | 1 | 1 | 5 | 10 | 17 | 19 | 54 | 5035 | 93 |
| 91. | Magnus Norman | 0 | 1 | 1 | 1 | 3 | 2 | 6 | 10 | 24 | 3370 | 140 |
| 92. | Željko Franulović | 0 | 1 | 1 | 1 | 2 | 6 | 7 | 7 | 25 | 3565 | 143 |
| 93. | Patrick Proisy | 0 | 1 | 1 | 1 | 0 | 3 | 10 | 13 | 29 | 3130 | 108 |
| 94. | Rainer Schüttler | 0 | 1 | 1 | 0 | 4 | 5 | 12 | 27 | 50 | 3900 | 78 |
| 95. | Víctor Pecci | 0 | 1 | 1 | 0 | 1 | 4 | 9 | 12 | 28 | 2985 | 107 |
| 96. | Marcelo Ríos | 0 | 1 | 0 | 5 | 4 | 4 | 5 | 7 | 26 | 4375 | 168 |
| 97. | Onny Parun | 0 | 1 | 0 | 4 | 4 | 8 | 8 | 16 | 41 | 4600 | 112 |
| 98. | Nick Kyrgios | 0 | 1 | 0 | 3 | 4 | 10 | 6 | 8 | 32 | 4250 | 133 |
| 99. | Kim Warwick | 0 | 1 | 0 | 3 | 4 | 7 | 10 | 13 | 38 | 4210 | 111 |
| 100. | Arnaud Clément | 0 | 1 | 0 | 2 | 7 | 5 | 17 | 23 | 55 | 4625 | 84 |
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.