| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 151. | Diego Schwartzman | 0 | 0 | 1 | 4 | 4 | 8 | 10 | 11 | 38 | 4160 | 109 |
| 152. | Sjeng Schalken | 0 | 0 | 1 | 4 | 1 | 9 | 6 | 16 | 37 | 3580 | 97 |
| 153. | Fernando Verdasco | 0 | 0 | 1 | 3 | 14 | 17 | 20 | 16 | 71 | 6910 | 97 |
| 154. | Andrei Chesnokov | 0 | 0 | 1 | 3 | 6 | 4 | 8 | 17 | 39 | 3770 | 97 |
| 155. | Dominik Hrbatý | 0 | 0 | 1 | 3 | 5 | 6 | 10 | 23 | 48 | 3920 | 82 |
| 156. | Peter McNamara | 0 | 0 | 1 | 3 | 5 | 2 | 5 | 9 | 25 | 3195 | 128 |
| 157. | Tommy Paul | 0 | 0 | 1 | 3 | 4 | 8 | 6 | 6 | 28 | 3570 | 128 |
| 158. | Dennis Ralston | 0 | 0 | 1 | 3 | 4 | 2 | 2 | 2 | 14 | 2810 | 201 |
| 159. | Sam Querrey | 0 | 0 | 1 | 3 | 3 | 12 | 11 | 30 | 60 | 4215 | 70 |
| 160. | Colin Dibley | 0 | 0 | 1 | 3 | 3 | 11 | 6 | 14 | 38 | 3740 | 98 |
| 161. | Magnus Larsson | 0 | 0 | 1 | 3 | 3 | 10 | 8 | 15 | 40 | 3750 | 94 |
| 162. | Mario Ančić | 0 | 0 | 1 | 3 | 3 | 7 | 3 | 4 | 21 | 3145 | 150 |
| 163. | John Isner | 0 | 0 | 1 | 2 | 8 | 20 | 11 | 17 | 59 | 5345 | 91 |
| 164. | David Wheaton | 0 | 0 | 1 | 2 | 6 | 6 | 8 | 13 | 36 | 3550 | 99 |
| 165. | Sandy Mayer | 0 | 0 | 1 | 2 | 5 | 6 | 3 | 9 | 26 | 3105 | 119 |
| 166. | Ross Case | 0 | 0 | 1 | 2 | 4 | 8 | 12 | 10 | 37 | 3520 | 95 |
| 167. | Karel Nováček | 0 | 0 | 1 | 2 | 3 | 7 | 3 | 18 | 34 | 2925 | 86 |
| 168. | Bill Scanlon | 0 | 0 | 1 | 2 | 3 | 2 | 9 | 17 | 34 | 2735 | 80 |
| 169. | Denis Shapovalov | 0 | 0 | 1 | 2 | 2 | 11 | 8 | 10 | 34 | 3250 | 96 |
| 170. | Nicolas Escudé | 0 | 0 | 1 | 2 | 2 | 5 | 8 | 6 | 24 | 2670 | 111 |
| 171. | Karol Kučera | 0 | 0 | 1 | 2 | 1 | 6 | 13 | 18 | 41 | 2925 | 71 |
| 172. | Lucas Pouille | 0 | 0 | 1 | 2 | 1 | 5 | 7 | 15 | 31 | 2535 | 82 |
| 173. | Roberto Bautista Agut | 0 | 0 | 1 | 1 | 12 | 12 | 10 | 16 | 52 | 4930 | 95 |
| 174. | Bob Lutz | 0 | 0 | 1 | 1 | 7 | 7 | 5 | 12 | 33 | 3315 | 100 |
| 175. | François Jauffret | 0 | 0 | 1 | 1 | 7 | 1 | 5 | 6 | 21 | 2715 | 129 |
| 176. | Alexander Volkov | 0 | 0 | 1 | 1 | 5 | 10 | 7 | 14 | 38 | 3335 | 88 |
| 177. | Hubert Hurkacz | 0 | 0 | 1 | 1 | 5 | 2 | 13 | 9 | 31 | 2835 | 91 |
| 178. | Paul McNamee | 0 | 0 | 1 | 1 | 4 | 10 | 12 | 11 | 39 | 3350 | 86 |
| 179. | Marc Rosset | 0 | 0 | 1 | 1 | 4 | 5 | 14 | 26 | 51 | 3140 | 62 |
| 180. | Felix Mantilla | 0 | 0 | 1 | 1 | 4 | 3 | 8 | 17 | 34 | 2600 | 76 |
| 181. | Cameron Norrie | 0 | 0 | 1 | 1 | 3 | 11 | 5 | 13 | 34 | 2965 | 87 |
| 182. | Jimmy Arias | 0 | 0 | 1 | 1 | 3 | 5 | 8 | 10 | 28 | 2530 | 90 |
| 183. | Bob Giltinan | 0 | 0 | 1 | 1 | 3 | 4 | 8 | 4 | 21 | 2380 | 113 |
| 184. | Ernests Gulbis | 0 | 0 | 1 | 1 | 3 | 3 | 16 | 21 | 45 | 2820 | 63 |
| 185. | Pancho Gonzales | 0 | 0 | 1 | 1 | 3 | 3 | 2 | 2 | 12 | 2000 | 167 |
| 186. | Ivan Ljubičić | 0 | 0 | 1 | 1 | 2 | 11 | 11 | 22 | 48 | 3145 | 66 |
| 187. | Nicolás Lapentti | 0 | 0 | 1 | 1 | 2 | 4 | 19 | 20 | 47 | 2855 | 61 |
| 188. | Pat DuPré | 0 | 0 | 1 | 1 | 2 | 4 | 4 | 12 | 24 | 2100 | 88 |
| 189. | Patrick McEnroe | 0 | 0 | 1 | 1 | 1 | 4 | 8 | 8 | 23 | 2060 | 90 |
| 190. | Rod Frawley | 0 | 0 | 1 | 1 | 1 | 2 | 8 | 2 | 15 | 1820 | 121 |
| 191. | Frank Froehling | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 3 | 7 | 1335 | 191 |
| 192. | Filip Dewulf | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 8 | 15 | 1385 | 92 |
| 193. | Allan Stone | 0 | 0 | 1 | 0 | 8 | 9 | 8 | 7 | 33 | 3400 | 103 |
| 194. | Xavier Malisse | 0 | 0 | 1 | 0 | 8 | 8 | 13 | 19 | 49 | 3655 | 75 |
| 195. | Mark Woodforde | 0 | 0 | 1 | 0 | 7 | 15 | 13 | 19 | 55 | 4105 | 75 |
| 196. | Jürgen Melzer | 0 | 0 | 1 | 0 | 4 | 13 | 16 | 19 | 53 | 3520 | 66 |
| 197. | Jiří Novák | 0 | 0 | 1 | 0 | 4 | 11 | 13 | 11 | 40 | 3125 | 78 |
| 198. | Robby Ginepri | 0 | 0 | 1 | 0 | 4 | 4 | 6 | 21 | 36 | 2280 | 63 |
| 199. | Jason Stoltenberg | 0 | 0 | 1 | 0 | 3 | 10 | 16 | 20 | 50 | 3080 | 62 |
| 200. | Jack Draper | 0 | 0 | 1 | 0 | 3 | 1 | 5 | 4 | 14 | 1615 | 115 |
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.