| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 351. | Ivan Ljubičić | 0 | 0 | 1 | 1 | 2 | 11 | 11 | 22 | 48 | 3633 | 76 |
| 352. | Nicolás Lapentti | 0 | 0 | 1 | 1 | 2 | 4 | 19 | 20 | 47 | 3307 | 70 |
| 353. | Pat DuPré | 0 | 0 | 1 | 1 | 2 | 4 | 4 | 12 | 24 | 2357 | 98 |
| 354. | Beatriz Haddad Maia | 0 | 0 | 1 | 1 | 2 | 3 | 9 | 9 | 25 | 2507 | 100 |
| 355. | Raquel Giscafré | 0 | 0 | 1 | 1 | 2 | 2 | 12 | 4 | 22 | 2521 | 115 |
| 356. | Natasha Chmyreva | 0 | 0 | 1 | 1 | 2 | 1 | 1 | 0 | 6 | 1733 | 289 |
| 357. | Patrick McEnroe | 0 | 0 | 1 | 1 | 1 | 4 | 8 | 8 | 23 | 2339 | 102 |
| 358. | Claudia Porwik | 0 | 0 | 1 | 1 | 1 | 3 | 8 | 18 | 32 | 2329 | 73 |
| 359. | Rod Frawley | 0 | 0 | 1 | 1 | 1 | 2 | 8 | 2 | 15 | 2059 | 137 |
| 360. | Frank Froehling | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 3 | 7 | 1443 | 206 |
| 361. | Martina Trevisan | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 11 | 18 | 1545 | 86 |
| 362. | Filip Dewulf | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 8 | 15 | 1515 | 101 |
| 363. | Allan Stone | 0 | 0 | 1 | 0 | 8 | 9 | 8 | 7 | 33 | 3954 | 120 |
| 364. | Xavier Malisse | 0 | 0 | 1 | 0 | 8 | 8 | 13 | 19 | 49 | 4254 | 87 |
| 365. | Mark Woodforde | 0 | 0 | 1 | 0 | 7 | 15 | 13 | 19 | 55 | 4814 | 88 |
| 366. | Julia Görges | 0 | 0 | 1 | 0 | 6 | 9 | 13 | 20 | 49 | 3954 | 81 |
| 367. | Peng Shuai | 0 | 0 | 1 | 0 | 6 | 6 | 18 | 20 | 51 | 3914 | 77 |
| 368. | Nathalie Dechy | 0 | 0 | 1 | 0 | 5 | 15 | 12 | 22 | 55 | 4366 | 79 |
| 369. | Jürgen Melzer | 0 | 0 | 1 | 0 | 4 | 13 | 16 | 19 | 53 | 4138 | 78 |
| 370. | Jiří Novák | 0 | 0 | 1 | 0 | 4 | 11 | 13 | 11 | 40 | 3664 | 92 |
| 371. | Yanina Wickmayer | 0 | 0 | 1 | 0 | 4 | 7 | 13 | 25 | 50 | 3364 | 67 |
| 372. | Nicole Bradtke | 0 | 0 | 1 | 0 | 4 | 7 | 13 | 16 | 41 | 3274 | 80 |
| 373. | Robby Ginepri | 0 | 0 | 1 | 0 | 4 | 4 | 6 | 21 | 36 | 2588 | 72 |
| 374. | Elena Vesnina | 0 | 0 | 1 | 0 | 3 | 10 | 17 | 20 | 51 | 3666 | 72 |
| 375. | Jason Stoltenberg | 0 | 0 | 1 | 0 | 3 | 10 | 16 | 20 | 50 | 3608 | 72 |
| 376. | Jack Draper | 0 | 0 | 1 | 0 | 3 | 1 | 5 | 4 | 14 | 1820 | 130 |
| 377. | Todd Woodbridge | 0 | 0 | 1 | 0 | 2 | 13 | 19 | 11 | 46 | 3812 | 83 |
| 378. | Yvonne Vermaak | 0 | 0 | 1 | 0 | 2 | 6 | 14 | 10 | 33 | 2742 | 83 |
| 379. | Georges Goven | 0 | 0 | 1 | 0 | 2 | 5 | 8 | 19 | 35 | 2374 | 68 |
| 380. | Karl Meiler | 0 | 0 | 1 | 0 | 2 | 5 | 2 | 12 | 22 | 1956 | 89 |
| 381. | Jan Gunnarsson | 0 | 0 | 1 | 0 | 2 | 3 | 9 | 9 | 24 | 2112 | 88 |
| 382. | Fernando Meligeni | 0 | 0 | 1 | 0 | 2 | 3 | 8 | 19 | 33 | 2154 | 65 |
| 383. | Joachim Johansson | 0 | 0 | 1 | 0 | 2 | 2 | 0 | 4 | 9 | 1430 | 159 |
| 384. | Matteo Arnaldi | 0 | 0 | 1 | 0 | 2 | 1 | 3 | 7 | 14 | 1524 | 109 |
| 385. | Victor Amaya | 0 | 0 | 1 | 0 | 1 | 7 | 7 | 12 | 28 | 2256 | 81 |
| 386. | Dayana Yastremska | 0 | 0 | 1 | 0 | 1 | 7 | 3 | 14 | 26 | 2044 | 79 |
| 387. | Darren Cahill | 0 | 0 | 1 | 0 | 1 | 6 | 8 | 9 | 25 | 2174 | 87 |
| 388. | Magdaléna Rybáriková | 0 | 0 | 1 | 0 | 1 | 5 | 12 | 25 | 44 | 2456 | 56 |
| 389. | Fabiola Zuluaga | 0 | 0 | 1 | 0 | 1 | 5 | 8 | 4 | 19 | 2014 | 106 |
| 390. | Kyle Edmund | 0 | 0 | 1 | 0 | 1 | 4 | 7 | 12 | 25 | 1926 | 77 |
| 391. | Jakub Menšík | 0 | 0 | 1 | 0 | 1 | 4 | 4 | 1 | 11 | 1642 | 149 |
| 392. | Brigitte Simon | 0 | 0 | 1 | 0 | 1 | 4 | 3 | 4 | 13 | 1614 | 124 |
| 393. | Kirsten Flipkens | 0 | 0 | 1 | 0 | 1 | 3 | 24 | 21 | 50 | 2892 | 58 |
| 394. | Marijke Schaar | 0 | 0 | 1 | 0 | 1 | 3 | 6 | 2 | 13 | 1658 | 128 |
| 395. | Diana Shnaider | 0 | 0 | 1 | 0 | 1 | 3 | 5 | 3 | 13 | 1610 | 124 |
| 396. | Belinda Cordwell | 0 | 0 | 1 | 0 | 1 | 3 | 3 | 5 | 13 | 1514 | 116 |
| 397. | Franco Squillari | 0 | 0 | 1 | 0 | 1 | 1 | 7 | 13 | 23 | 1606 | 70 |
| 398. | Meredith McGrath | 0 | 0 | 1 | 0 | 1 | 1 | 5 | 12 | 20 | 1480 | 74 |
| 399. | Camille Benjamin | 0 | 0 | 1 | 0 | 0 | 11 | 11 | 12 | 35 | 2718 | 78 |
| 400. | Magda Linette | 0 | 0 | 1 | 0 | 0 | 9 | 7 | 27 | 44 | 2416 | 55 |
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.