| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 201. | Todd Woodbridge | 0 | 0 | 1 | 0 | 2 | 13 | 19 | 11 | 46 | 3215 | 70 |
| 202. | Georges Goven | 0 | 0 | 1 | 0 | 2 | 5 | 8 | 19 | 35 | 2080 | 59 |
| 203. | Karl Meiler | 0 | 0 | 1 | 0 | 2 | 5 | 2 | 12 | 22 | 1740 | 79 |
| 204. | Jan Gunnarsson | 0 | 0 | 1 | 0 | 2 | 3 | 9 | 9 | 24 | 1845 | 77 |
| 205. | Fernando Meligeni | 0 | 0 | 1 | 0 | 2 | 3 | 8 | 19 | 33 | 1900 | 58 |
| 206. | Joachim Johansson | 0 | 0 | 1 | 0 | 2 | 2 | 0 | 4 | 9 | 1300 | 144 |
| 207. | Matteo Arnaldi | 0 | 0 | 1 | 0 | 2 | 1 | 3 | 7 | 14 | 1375 | 98 |
| 208. | Victor Amaya | 0 | 0 | 1 | 0 | 1 | 7 | 7 | 12 | 28 | 1965 | 70 |
| 209. | Darren Cahill | 0 | 0 | 1 | 0 | 1 | 6 | 8 | 9 | 25 | 1890 | 76 |
| 210. | Kyle Edmund | 0 | 0 | 1 | 0 | 1 | 4 | 7 | 12 | 25 | 1695 | 68 |
| 211. | Jakub Menšík | 0 | 0 | 1 | 0 | 1 | 4 | 4 | 1 | 11 | 1450 | 132 |
| 212. | Franco Squillari | 0 | 0 | 1 | 0 | 1 | 1 | 7 | 13 | 23 | 1435 | 62 |
| 213. | Jerzy Janowicz | 0 | 0 | 1 | 0 | 0 | 8 | 2 | 8 | 19 | 1610 | 85 |
| 214. | Ben Testerman | 0 | 0 | 1 | 0 | 0 | 5 | 3 | 9 | 18 | 1395 | 78 |
| 215. | Aslan Karatsev | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 6 | 13 | 1185 | 91 |
| 216. | Chung Hyeon | 0 | 0 | 1 | 0 | 0 | 2 | 5 | 3 | 11 | 1155 | 105 |
| 217. | Marco Cecchinato | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 19 | 23 | 1135 | 49 |
| 218. | Christophe Roger-Vasselin | 0 | 0 | 1 | 0 | 0 | 1 | 6 | 10 | 18 | 1180 | 66 |
| 219. | Vladimir Voltchkov | 0 | 0 | 1 | 0 | 0 | 1 | 3 | 10 | 15 | 1045 | 70 |
| 220. | Arthur Fery | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 5 | 830 | 166 |
| 221. | Andrey Rublev | 0 | 0 | 0 | 10 | 8 | 6 | 3 | 8 | 35 | 5795 | 166 |
| 222. | Tommy Robredo | 0 | 0 | 0 | 7 | 16 | 10 | 11 | 14 | 58 | 6935 | 120 |
| 223. | Alex de Minaur | 0 | 0 | 0 | 7 | 8 | 6 | 7 | 8 | 36 | 4895 | 136 |
| 224. | Guy Forget | 0 | 0 | 0 | 5 | 7 | 7 | 12 | 17 | 48 | 4400 | 92 |
| 225. | Wojciech Fibak | 0 | 0 | 0 | 4 | 10 | 3 | 4 | 13 | 34 | 3820 | 112 |
| 226. | David Goffin | 0 | 0 | 0 | 4 | 9 | 11 | 4 | 20 | 48 | 4430 | 92 |
| 227. | Feliciano López | 0 | 0 | 0 | 4 | 8 | 22 | 14 | 33 | 81 | 5820 | 72 |
| 228. | Roy Emerson | 0 | 0 | 0 | 4 | 7 | 0 | 0 | 1 | 12 | 2710 | 226 |
| 229. | Nicolás Almagro | 0 | 0 | 0 | 4 | 5 | 12 | 9 | 18 | 48 | 4005 | 83 |
| 230. | Eliot Teltscher | 0 | 0 | 0 | 4 | 4 | 5 | 4 | 5 | 22 | 2840 | 129 |
| 231. | Fred Stolle | 0 | 0 | 0 | 4 | 4 | 1 | 3 | 3 | 15 | 2415 | 161 |
| 232. | Gene Mayer | 0 | 0 | 0 | 4 | 3 | 2 | 5 | 6 | 20 | 2445 | 122 |
| 233. | Younes El Aynaoui | 0 | 0 | 0 | 4 | 2 | 5 | 7 | 14 | 32 | 2705 | 85 |
| 234. | Hicham Arazi | 0 | 0 | 0 | 4 | 1 | 10 | 7 | 13 | 35 | 2965 | 85 |
| 235. | Vijay Amritraj | 0 | 0 | 0 | 4 | 1 | 4 | 12 | 11 | 32 | 2630 | 82 |
| 236. | Joakim Nyström | 0 | 0 | 0 | 3 | 7 | 6 | 5 | 5 | 26 | 3155 | 121 |
| 237. | James Blake | 0 | 0 | 0 | 3 | 5 | 10 | 13 | 11 | 42 | 3575 | 85 |
| 238. | Holger Rune | 0 | 0 | 0 | 3 | 5 | 1 | 2 | 6 | 17 | 2220 | 131 |
| 239. | Mardy Fish | 0 | 0 | 0 | 3 | 4 | 7 | 14 | 11 | 39 | 3170 | 81 |
| 240. | Guillermo Cañas | 0 | 0 | 0 | 3 | 4 | 3 | 12 | 9 | 31 | 2700 | 87 |
| 241. | Juan Ignacio Chela | 0 | 0 | 0 | 3 | 2 | 7 | 14 | 16 | 42 | 2860 | 68 |
| 242. | Christian Bergström | 0 | 0 | 0 | 3 | 2 | 1 | 9 | 15 | 30 | 2085 | 70 |
| 243. | Jarkko Nieminen | 0 | 0 | 0 | 3 | 1 | 10 | 19 | 19 | 52 | 3205 | 62 |
| 244. | Cliff Drysdale | 0 | 0 | 0 | 3 | 1 | 5 | 4 | 7 | 20 | 1960 | 98 |
| 245. | Hans Gildemeister | 0 | 0 | 0 | 3 | 1 | 3 | 4 | 4 | 15 | 1750 | 117 |
| 246. | Andrei Cherkasov | 0 | 0 | 0 | 3 | 1 | 0 | 6 | 15 | 25 | 1680 | 67 |
| 247. | Ramesh Krishnan | 0 | 0 | 0 | 3 | 0 | 11 | 11 | 15 | 40 | 2715 | 68 |
| 248. | Butch Buchholz | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 0 | 5 | 1215 | 243 |
| 249. | Gilles Simon | 0 | 0 | 0 | 2 | 9 | 19 | 18 | 13 | 61 | 4990 | 82 |
| 250. | Marty Riessen | 0 | 0 | 0 | 2 | 9 | 5 | 9 | 6 | 31 | 3255 | 105 |
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.