| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 101. | Thomas Enqvist | 0 | 1 | 0 | 2 | 6 | 10 | 11 | 16 | 46 | 4555 | 99 |
| 102. | John Sadri | 0 | 1 | 0 | 2 | 3 | 5 | 9 | 8 | 28 | 3395 | 121 |
| 103. | John Lloyd | 0 | 1 | 0 | 2 | 2 | 10 | 13 | 16 | 44 | 3925 | 89 |
| 104. | Flavio Cobolli | 0 | 1 | 0 | 2 | 0 | 4 | 2 | 3 | 12 | 2400 | 200 |
| 105. | Greg Rusedski | 0 | 1 | 0 | 1 | 7 | 7 | 10 | 22 | 48 | 4120 | 86 |
| 106. | Nikola Pilić | 0 | 1 | 0 | 1 | 5 | 7 | 4 | 5 | 23 | 3320 | 144 |
| 107. | MaliVai Washington | 0 | 1 | 0 | 1 | 5 | 3 | 10 | 12 | 32 | 3300 | 103 |
| 108. | Mikael Pernfors | 0 | 1 | 0 | 1 | 3 | 2 | 3 | 11 | 21 | 2525 | 120 |
| 109. | Alberto Berasategui | 0 | 1 | 0 | 1 | 2 | 3 | 3 | 9 | 19 | 2415 | 127 |
| 110. | Chris Lewis | 0 | 1 | 0 | 0 | 2 | 6 | 19 | 7 | 35 | 3025 | 86 |
| 111. | Mal Anderson | 0 | 1 | 0 | 0 | 2 | 4 | 3 | 0 | 10 | 2055 | 206 |
| 112. | Mariano Puerta | 0 | 1 | 0 | 0 | 0 | 1 | 7 | 9 | 18 | 1695 | 94 |
| 113. | Martin Verkerk | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 5 | 9 | 1430 | 159 |
| 114. | John Marks | 0 | 1 | 0 | 0 | 0 | 0 | 6 | 6 | 13 | 1530 | 118 |
| 115. | Tim Henman | 0 | 0 | 6 | 4 | 6 | 11 | 12 | 10 | 49 | 8470 | 173 |
| 116. | Nikolay Davydenko | 0 | 0 | 4 | 6 | 4 | 5 | 16 | 15 | 50 | 7080 | 142 |
| 117. | Sébastien Grosjean | 0 | 0 | 4 | 5 | 2 | 11 | 10 | 11 | 43 | 6590 | 153 |
| 118. | Tommy Haas | 0 | 0 | 4 | 4 | 8 | 17 | 11 | 16 | 60 | 7945 | 132 |
| 119. | Raúl Ramírez | 0 | 0 | 3 | 6 | 3 | 2 | 8 | 9 | 31 | 5490 | 177 |
| 120. | Grigor Dimitrov | 0 | 0 | 3 | 5 | 11 | 11 | 14 | 17 | 61 | 7730 | 127 |
| 121. | Richard Gasquet | 0 | 0 | 3 | 2 | 17 | 15 | 13 | 25 | 75 | 8125 | 108 |
| 122. | John Alexander | 0 | 0 | 3 | 2 | 11 | 6 | 20 | 11 | 53 | 6410 | 121 |
| 123. | Cliff Richey | 0 | 0 | 3 | 1 | 5 | 3 | 5 | 3 | 20 | 3945 | 197 |
| 124. | Roger Taylor | 0 | 0 | 3 | 1 | 3 | 3 | 7 | 11 | 28 | 3755 | 134 |
| 125. | Tom Gorman | 0 | 0 | 3 | 0 | 6 | 5 | 7 | 11 | 32 | 4115 | 129 |
| 126. | Hank Pfister | 0 | 0 | 3 | 0 | 4 | 4 | 8 | 9 | 28 | 3690 | 132 |
| 127. | Gaël Monfils | 0 | 0 | 2 | 8 | 11 | 18 | 19 | 12 | 70 | 8895 | 127 |
| 128. | Tim Mayotte | 0 | 0 | 2 | 7 | 6 | 4 | 6 | 11 | 36 | 5780 | 161 |
| 129. | Jonas Björkman | 0 | 0 | 2 | 5 | 8 | 10 | 13 | 20 | 58 | 6365 | 110 |
| 130. | Eddie Dibbs | 0 | 0 | 2 | 5 | 1 | 4 | 4 | 2 | 18 | 3980 | 221 |
| 131. | Mikhail Youzhny | 0 | 0 | 2 | 4 | 10 | 14 | 17 | 22 | 69 | 6925 | 100 |
| 132. | Karen Khachanov | 0 | 0 | 2 | 4 | 5 | 14 | 7 | 5 | 37 | 5405 | 146 |
| 133. | Félix Auger-Aliassime | 0 | 0 | 2 | 4 | 5 | 2 | 3 | 13 | 29 | 4225 | 146 |
| 134. | Wayne Ferreira | 0 | 0 | 2 | 3 | 15 | 13 | 11 | 13 | 57 | 7015 | 123 |
| 135. | Frances Tiafoe | 0 | 0 | 2 | 3 | 4 | 9 | 11 | 12 | 41 | 4665 | 114 |
| 136. | Ben Shelton | 0 | 0 | 2 | 3 | 2 | 4 | 2 | 3 | 16 | 3360 | 210 |
| 137. | Clark Graebner | 0 | 0 | 2 | 3 | 2 | 2 | 3 | 3 | 15 | 3225 | 215 |
| 138. | Aaron Krickstein | 0 | 0 | 2 | 2 | 11 | 7 | 8 | 5 | 35 | 5180 | 148 |
| 139. | Pablo Carreño Busta | 0 | 0 | 2 | 2 | 6 | 8 | 9 | 17 | 44 | 4535 | 103 |
| 140. | Dick Stockton | 0 | 0 | 2 | 2 | 4 | 6 | 6 | 11 | 31 | 3800 | 123 |
| 141. | Lorenzo Musetti | 0 | 0 | 2 | 2 | 2 | 5 | 2 | 7 | 20 | 3130 | 157 |
| 142. | José Higueras | 0 | 0 | 2 | 2 | 2 | 3 | 6 | 3 | 18 | 3090 | 172 |
| 143. | Ray Ruffels | 0 | 0 | 2 | 2 | 1 | 8 | 10 | 5 | 28 | 3560 | 127 |
| 144. | Wally Masur | 0 | 0 | 2 | 1 | 7 | 8 | 15 | 15 | 48 | 4605 | 96 |
| 145. | Jonas Svensson | 0 | 0 | 2 | 1 | 3 | 9 | 9 | 6 | 30 | 3615 | 121 |
| 146. | Slobodan Živojinović | 0 | 0 | 2 | 1 | 2 | 4 | 4 | 12 | 25 | 2820 | 113 |
| 147. | Corrado Barazzutti | 0 | 0 | 2 | 1 | 1 | 4 | 4 | 9 | 21 | 2610 | 124 |
| 148. | José Luis Clerc | 0 | 0 | 2 | 0 | 3 | 5 | 6 | 7 | 23 | 2770 | 120 |
| 149. | Anders Järryd | 0 | 0 | 1 | 4 | 5 | 6 | 14 | 17 | 47 | 4400 | 94 |
| 150. | Nicolas Kiefer | 0 | 0 | 1 | 4 | 4 | 9 | 9 | 18 | 45 | 4275 | 95 |
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.