| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 101. | Sofia Kenin | 1 | 1 | 0 | 0 | 3 | 6 | 8 | 12 | 31 | 5124 | 165 |
| 102. | Richard Krajicek | 1 | 0 | 3 | 5 | 5 | 12 | 9 | 5 | 40 | 9167 | 229 |
| 103. | Thomas Muster | 1 | 0 | 3 | 5 | 5 | 9 | 3 | 13 | 39 | 8569 | 220 |
| 104. | Sue Barker | 1 | 0 | 3 | 2 | 7 | 5 | 6 | 7 | 31 | 7478 | 241 |
| 105. | Adriano Panatta | 1 | 0 | 2 | 3 | 2 | 11 | 7 | 5 | 31 | 6771 | 218 |
| 106. | Mark Edmondson | 1 | 0 | 2 | 2 | 1 | 9 | 7 | 17 | 39 | 6066 | 156 |
| 107. | Yannick Noah | 1 | 0 | 1 | 8 | 9 | 5 | 7 | 6 | 37 | 8816 | 238 |
| 108. | Flavia Pennetta | 1 | 0 | 1 | 5 | 7 | 10 | 7 | 18 | 49 | 7881 | 161 |
| 109. | Jeļena Ostapenko | 1 | 0 | 1 | 4 | 1 | 10 | 10 | 14 | 41 | 6360 | 155 |
| 110. | Albert Costa | 1 | 0 | 1 | 3 | 3 | 5 | 8 | 16 | 37 | 5739 | 155 |
| 111. | Thomas Johansson | 1 | 0 | 1 | 2 | 5 | 5 | 14 | 18 | 46 | 6132 | 133 |
| 112. | Mirra Andreeva | 1 | 0 | 1 | 2 | 4 | 2 | 2 | 1 | 13 | 4726 | 364 |
| 113. | Andrés Gómez | 1 | 0 | 0 | 5 | 6 | 4 | 9 | 7 | 32 | 6267 | 196 |
| 114. | Anastasia Myskina | 1 | 0 | 0 | 5 | 4 | 5 | 5 | 8 | 28 | 5735 | 205 |
| 115. | Iva Majoli | 1 | 0 | 0 | 5 | 3 | 5 | 9 | 11 | 34 | 5787 | 170 |
| 116. | Brian Teacher | 1 | 0 | 0 | 2 | 3 | 6 | 13 | 9 | 34 | 4924 | 145 |
| 117. | Gastón Gaudio | 1 | 0 | 0 | 0 | 3 | 7 | 7 | 14 | 32 | 3946 | 123 |
| 118. | Emma Raducanu | 1 | 0 | 0 | 0 | 2 | 3 | 7 | 3 | 16 | 3186 | 199 |
| 119. | Bianca Andreescu | 1 | 0 | 0 | 0 | 1 | 5 | 6 | 4 | 17 | 3148 | 185 |
| 120. | Chris O'Neil | 1 | 0 | 0 | 0 | 0 | 5 | 12 | 5 | 23 | 3296 | 143 |
| 121. | Barbara Jordan | 1 | 0 | 0 | 0 | 0 | 5 | 8 | 8 | 22 | 3094 | 141 |
| 122. | Helena Suková | 0 | 4 | 3 | 11 | 13 | 10 | 9 | 11 | 61 | 16057 | 263 |
| 123. | Mary Joe Fernández | 0 | 3 | 6 | 8 | 11 | 13 | 2 | 5 | 48 | 15316 | 319 |
| 124. | Tony Roche | 0 | 3 | 5 | 4 | 5 | 4 | 2 | 2 | 25 | 10706 | 428 |
| 125. | Wendy Turnbull | 0 | 3 | 4 | 7 | 13 | 9 | 6 | 7 | 49 | 13653 | 279 |
| 126. | Dinara Safina | 0 | 3 | 2 | 2 | 4 | 6 | 5 | 11 | 33 | 7940 | 241 |
| 127. | Casper Ruud | 0 | 3 | 1 | 0 | 4 | 5 | 11 | 5 | 29 | 6578 | 227 |
| 128. | Ons Jabeur | 0 | 3 | 0 | 4 | 3 | 7 | 4 | 11 | 32 | 7072 | 221 |
| 129. | Elena Dementieva | 0 | 2 | 7 | 3 | 12 | 9 | 7 | 7 | 47 | 12921 | 275 |
| 130. | Andrea Jaeger | 0 | 2 | 5 | 3 | 2 | 0 | 5 | 1 | 18 | 8155 | 453 |
| 131. | Rosemary Casals | 0 | 2 | 4 | 10 | 7 | 4 | 12 | 3 | 42 | 12086 | 288 |
| 132. | Todd Martin | 0 | 2 | 4 | 4 | 7 | 11 | 11 | 9 | 48 | 10488 | 219 |
| 133. | Stefanos Tsitsipas | 0 | 2 | 4 | 2 | 5 | 4 | 8 | 10 | 35 | 8344 | 238 |
| 134. | Helen Gourlay | 0 | 2 | 3 | 3 | 5 | 10 | 8 | 2 | 33 | 8569 | 260 |
| 135. | Karolína Plíšková | 0 | 2 | 2 | 7 | 3 | 8 | 15 | 13 | 50 | 9275 | 186 |
| 136. | Cédric Pioline | 0 | 2 | 2 | 4 | 5 | 6 | 12 | 16 | 47 | 8146 | 173 |
| 137. | Miloslav Mecir Sr. | 0 | 2 | 2 | 3 | 1 | 5 | 5 | 5 | 23 | 6285 | 273 |
| 138. | Vera Zvonareva | 0 | 2 | 2 | 2 | 10 | 11 | 9 | 13 | 49 | 8752 | 179 |
| 139. | Olga Morozova | 0 | 2 | 1 | 7 | 5 | 6 | 2 | 1 | 24 | 7851 | 327 |
| 140. | Renáta Tomanová | 0 | 2 | 1 | 3 | 3 | 11 | 10 | 7 | 37 | 6925 | 187 |
| 141. | Àlex Corretja | 0 | 2 | 1 | 3 | 3 | 7 | 9 | 13 | 38 | 6487 | 171 |
| 142. | Amanda Anisimova | 0 | 2 | 1 | 2 | 5 | 3 | 4 | 8 | 25 | 5732 | 229 |
| 143. | Kevin Curren | 0 | 2 | 1 | 1 | 5 | 4 | 10 | 6 | 29 | 5775 | 199 |
| 144. | Robin Söderling | 0 | 2 | 0 | 4 | 2 | 5 | 7 | 11 | 31 | 5566 | 180 |
| 145. | Mark Philippoussis | 0 | 2 | 0 | 3 | 9 | 4 | 10 | 10 | 38 | 6695 | 176 |
| 146. | Kevin Anderson | 0 | 2 | 0 | 1 | 11 | 10 | 7 | 17 | 48 | 6881 | 143 |
| 147. | Jasmine Paolini | 0 | 2 | 0 | 0 | 3 | 3 | 6 | 12 | 26 | 3928 | 151 |
| 148. | Steve Denton | 0 | 2 | 0 | 0 | 2 | 2 | 3 | 9 | 18 | 3404 | 189 |
| 149. | Pam Shriver | 0 | 1 | 8 | 10 | 5 | 10 | 9 | 10 | 53 | 13972 | 264 |
| 150. | Tomáš Berdych | 0 | 1 | 6 | 10 | 16 | 7 | 8 | 13 | 61 | 14424 | 236 |
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.