| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2501. | Toma Ovici | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 4 | 184 | 46 |
| 2502. | Stephen Myers | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 4 | 184 | 46 |
| 2503. | Vicki Berner | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 4 | 184 | 46 |
| 2504. | Sonia Pachta | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 4 | 184 | 46 |
| 2505. | Tam O'Shaughnessy | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 4 | 184 | 46 |
| 2506. | Robin Harris | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 174 | 58 |
| 2507. | Nicole Bimes | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 174 | 58 |
| 2508. | Robert Casey | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 174 | 58 |
| 2509. | Marilyn Greenwood | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 174 | 58 |
| 2510. | Nadine Netter | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 174 | 58 |
| 2511. | Jitka Horcickova | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 174 | 58 |
| 2512. | Judy Congdon | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 174 | 58 |
| 2513. | Pavlina Nola | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 14 | 16 | 256 | 16 |
| 2514. | Maryna Zanevska | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 14 | 236 | 17 |
| 2515. | Tomas Behrend | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 14 | 236 | 17 |
| 2516. | Kerry-Anne Guse | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 14 | 236 | 17 |
| 2517. | Thierry Ascione | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | 13 | 226 | 17 |
| 2518. | Bjorn Fratangelo | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | 12 | 216 | 18 |
| 2519. | Katie O'Brien | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | 12 | 216 | 18 |
| 2520. | Simon Greul | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | 12 | 216 | 18 |
| 2521. | Natalia Vikhlyantseva | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | 11 | 206 | 19 |
| 2522. | Mariya Koryttseva | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | 11 | 206 | 19 |
| 2523. | Alexander Waske | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | 11 | 206 | 19 |
| 2524. | Marcos Gorriz-Bonhora | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | 11 | 206 | 19 |
| 2525. | Sybille Niox-Château | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | 11 | 206 | 19 |
| 2526. | Camilo Ugo Carabelli | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2527. | Sára Bejlek | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2528. | Naomi Broady | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2529. | Sandra Záhlavová | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2530. | Rui Machado | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2531. | Todd Larkham | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2532. | Amanda Hopmans | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2533. | Eugenia Maniokova | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2534. | Cecilia Dahlman | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2535. | José López-Maeso | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2536. | Ramiro Benavides | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 10 | 196 | 20 |
| 2537. | Francesca Jones | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 9 | 186 | 21 |
| 2538. | Matthias Bachinger | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 9 | 186 | 21 |
| 2539. | Sophie Ferguson | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 9 | 186 | 21 |
| 2540. | Ivan Navarro | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 9 | 186 | 21 |
| 2541. | Yuan Meng | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 9 | 186 | 21 |
| 2542. | Joan Balcells | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 9 | 186 | 21 |
| 2543. | Marion Maruska | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 9 | 186 | 21 |
| 2544. | Julian Alonso-Pintor | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 9 | 186 | 21 |
| 2545. | Derek Tarr | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 9 | 186 | 21 |
| 2546. | Talia Gibson | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 8 | 176 | 22 |
| 2547. | Sumit Nagal | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 8 | 176 | 22 |
| 2548. | Barry Cowan | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 8 | 176 | 22 |
| 2549. | Florin Segărceanu | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 8 | 176 | 22 |
| 2550. | Ángel Giménez | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 8 | 176 | 22 |
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.