| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 251. | Emilio Sánchez | 0 | 0 | 0 | 2 | 9 | 3 | 5 | 17 | 36 | 3005 | 83 |
| 252. | Brad Gilbert | 0 | 0 | 0 | 2 | 5 | 11 | 8 | 12 | 38 | 3090 | 81 |
| 253. | Janko Tipsarević | 0 | 0 | 0 | 2 | 5 | 9 | 11 | 24 | 51 | 3165 | 62 |
| 254. | Ray Moore | 0 | 0 | 0 | 2 | 5 | 8 | 11 | 16 | 42 | 2995 | 71 |
| 255. | Bob Carmichael | 0 | 0 | 0 | 2 | 4 | 5 | 13 | 12 | 36 | 2595 | 72 |
| 256. | Balázs Taróczy | 0 | 0 | 0 | 2 | 3 | 7 | 10 | 6 | 28 | 2400 | 86 |
| 257. | Tomáš Šmíd | 0 | 0 | 0 | 2 | 3 | 5 | 14 | 11 | 35 | 2450 | 70 |
| 258. | Jiří Lehečka | 0 | 0 | 0 | 2 | 3 | 2 | 3 | 7 | 17 | 1645 | 97 |
| 259. | Jaime Yzaga | 0 | 0 | 0 | 2 | 2 | 7 | 7 | 14 | 32 | 2165 | 68 |
| 260. | Heinz Günthardt | 0 | 0 | 0 | 2 | 2 | 6 | 5 | 9 | 24 | 1935 | 81 |
| 261. | Gilles Müller | 0 | 0 | 0 | 2 | 2 | 4 | 14 | 20 | 42 | 2270 | 54 |
| 262. | Jacco Eltingh | 0 | 0 | 0 | 2 | 2 | 2 | 7 | 10 | 23 | 1675 | 73 |
| 263. | Jay Berger | 0 | 0 | 0 | 2 | 2 | 2 | 5 | 1 | 12 | 1495 | 125 |
| 264. | Byron Black | 0 | 0 | 0 | 2 | 1 | 8 | 11 | 17 | 39 | 2285 | 59 |
| 265. | Michiel Schapers | 0 | 0 | 0 | 2 | 1 | 7 | 5 | 15 | 30 | 1905 | 64 |
| 266. | Florian Mayer | 0 | 0 | 0 | 2 | 1 | 6 | 15 | 23 | 47 | 2345 | 50 |
| 267. | John Cooper | 0 | 0 | 0 | 2 | 1 | 5 | 5 | 0 | 13 | 1575 | 121 |
| 268. | Javier Sánchez | 0 | 0 | 0 | 2 | 1 | 3 | 9 | 25 | 40 | 1825 | 46 |
| 269. | Tennys Sandgren | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 10 | 17 | 1225 | 72 |
| 270. | Alexander Popp | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 10 | 17 | 1225 | 72 |
| 271. | Thierry Champion | 0 | 0 | 0 | 2 | 0 | 4 | 11 | 13 | 30 | 1705 | 57 |
| 272. | Bernd Karbacher | 0 | 0 | 0 | 2 | 0 | 4 | 7 | 13 | 26 | 1525 | 59 |
| 273. | Peter Rennert | 0 | 0 | 0 | 2 | 0 | 3 | 1 | 4 | 10 | 1075 | 108 |
| 274. | Goran Prpić | 0 | 0 | 0 | 2 | 0 | 1 | 5 | 4 | 12 | 1075 | 90 |
| 275. | Philipp Kohlschreiber | 0 | 0 | 0 | 1 | 10 | 13 | 18 | 26 | 68 | 4400 | 65 |
| 276. | Tim Gullikson | 0 | 0 | 0 | 1 | 8 | 6 | 4 | 12 | 31 | 2640 | 85 |
| 277. | Fabio Fognini | 0 | 0 | 0 | 1 | 7 | 16 | 14 | 25 | 63 | 3940 | 63 |
| 278. | Jaime Fillol | 0 | 0 | 0 | 1 | 6 | 12 | 5 | 15 | 39 | 2895 | 74 |
| 279. | Jakob Hlasek | 0 | 0 | 0 | 1 | 5 | 12 | 15 | 16 | 49 | 3175 | 65 |
| 280. | Bernard Tomic | 0 | 0 | 0 | 1 | 5 | 5 | 12 | 15 | 38 | 2400 | 63 |
| 281. | Ivo Karlović | 0 | 0 | 0 | 1 | 4 | 10 | 18 | 30 | 63 | 3090 | 49 |
| 282. | Mark Cox | 0 | 0 | 0 | 1 | 4 | 10 | 7 | 5 | 27 | 2345 | 87 |
| 283. | Jérémy Chardy | 0 | 0 | 0 | 1 | 4 | 7 | 24 | 20 | 56 | 2990 | 53 |
| 284. | Magnus Gustafsson | 0 | 0 | 0 | 1 | 4 | 7 | 12 | 18 | 42 | 2430 | 58 |
| 285. | Alejandro Davidovich Fokina | 0 | 0 | 0 | 1 | 4 | 5 | 10 | 5 | 25 | 2030 | 81 |
| 286. | Lorenzo Sonego | 0 | 0 | 0 | 1 | 4 | 4 | 11 | 12 | 32 | 2055 | 64 |
| 287. | Alexander Bublik | 0 | 0 | 0 | 1 | 4 | 4 | 9 | 13 | 31 | 1975 | 64 |
| 288. | Andrei Pavel | 0 | 0 | 0 | 1 | 4 | 3 | 12 | 22 | 42 | 2110 | 50 |
| 289. | Radek Štěpánek | 0 | 0 | 0 | 1 | 3 | 15 | 15 | 21 | 55 | 3135 | 57 |
| 290. | Fabrice Santoro | 0 | 0 | 0 | 1 | 3 | 13 | 24 | 29 | 70 | 3440 | 49 |
| 291. | Paul Haarhuis | 0 | 0 | 0 | 1 | 3 | 11 | 10 | 16 | 41 | 2500 | 61 |
| 292. | Amos Mansdorf | 0 | 0 | 0 | 1 | 3 | 9 | 11 | 10 | 34 | 2305 | 68 |
| 293. | Vince Spadea | 0 | 0 | 0 | 1 | 3 | 8 | 13 | 29 | 54 | 2495 | 46 |
| 294. | Jan-Lennard Struff | 0 | 0 | 0 | 1 | 3 | 7 | 9 | 27 | 47 | 2205 | 47 |
| 295. | Igor Andreev | 0 | 0 | 0 | 1 | 3 | 6 | 11 | 11 | 32 | 2045 | 64 |
| 296. | Márton Fucsovics | 0 | 0 | 0 | 1 | 3 | 6 | 10 | 16 | 36 | 2050 | 57 |
| 297. | Derrick Rostagno | 0 | 0 | 0 | 1 | 3 | 6 | 10 | 11 | 31 | 2000 | 65 |
| 298. | Max Mirnyi | 0 | 0 | 0 | 1 | 3 | 5 | 9 | 16 | 34 | 1915 | 56 |
| 299. | Martín Jaite | 0 | 0 | 0 | 1 | 3 | 5 | 6 | 4 | 19 | 1660 | 87 |
| 300. | Henrik Sundström | 0 | 0 | 0 | 1 | 3 | 2 | 6 | 9 | 21 | 1440 | 69 |
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.