| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 651. | Vasek Pospisil | 0 | 0 | 0 | 1 | 1 | 2 | 7 | 22 | 33 | 1451 | 44 |
| 652. | Rayni Fox | 0 | 0 | 0 | 1 | 1 | 2 | 7 | 1 | 12 | 1241 | 103 |
| 653. | Karolina Šprem | 0 | 0 | 0 | 1 | 1 | 2 | 5 | 15 | 24 | 1265 | 53 |
| 654. | Hans-Jürgen Pohmann | 0 | 0 | 0 | 1 | 1 | 2 | 5 | 6 | 15 | 1175 | 78 |
| 655. | Galo Blanco | 0 | 0 | 0 | 1 | 1 | 2 | 4 | 20 | 28 | 1257 | 45 |
| 656. | Wanaro N'Godrella | 0 | 0 | 0 | 1 | 1 | 2 | 4 | 6 | 14 | 1117 | 80 |
| 657. | Ruta Gerulaitis | 0 | 0 | 0 | 1 | 1 | 2 | 4 | 4 | 12 | 1097 | 91 |
| 658. | Jan Wilton | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 4 | 825 | 206 |
| 659. | Thomaz Koch | 0 | 0 | 0 | 1 | 1 | 1 | 10 | 7 | 20 | 1365 | 68 |
| 660. | Barbara Hallquist | 0 | 0 | 0 | 1 | 1 | 1 | 10 | 4 | 17 | 1335 | 79 |
| 661. | Petra Mandula | 0 | 0 | 0 | 1 | 1 | 1 | 9 | 9 | 21 | 1327 | 63 |
| 662. | Ana Konjuh | 0 | 0 | 0 | 1 | 1 | 1 | 8 | 10 | 21 | 1279 | 61 |
| 663. | Marta Marrero | 0 | 0 | 0 | 1 | 1 | 1 | 6 | 12 | 21 | 1183 | 56 |
| 664. | Roman Safiullin | 0 | 0 | 0 | 1 | 1 | 1 | 5 | 8 | 16 | 1085 | 68 |
| 665. | Iva Jovic | 0 | 0 | 0 | 1 | 1 | 1 | 4 | 1 | 8 | 957 | 120 |
| 666. | Lina Krasnoroutskaya | 0 | 0 | 0 | 1 | 1 | 1 | 3 | 8 | 14 | 969 | 69 |
| 667. | Butch Walts | 0 | 0 | 0 | 1 | 1 | 1 | 3 | 5 | 11 | 939 | 85 |
| 668. | Jule Niemeier | 0 | 0 | 0 | 1 | 1 | 1 | 3 | 4 | 10 | 929 | 93 |
| 669. | Learner Tien | 0 | 0 | 0 | 1 | 1 | 1 | 2 | 5 | 10 | 881 | 88 |
| 670. | John Andrews | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 4 | 8 | 813 | 102 |
| 671. | Boro Jovanović | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 5 | 8 | 765 | 96 |
| 672. | Alison Van Uytvanck | 0 | 0 | 0 | 1 | 1 | 0 | 10 | 24 | 36 | 1425 | 40 |
| 673. | Séverine Beltrame | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 14 | 23 | 1151 | 50 |
| 674. | Adriana Serra-Zanetti | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 11 | 20 | 1121 | 56 |
| 675. | Marcelo Filippini | 0 | 0 | 0 | 1 | 1 | 0 | 6 | 12 | 20 | 1073 | 54 |
| 676. | Melanie Oudin | 0 | 0 | 0 | 1 | 1 | 0 | 4 | 12 | 18 | 957 | 53 |
| 677. | Carina Karlsson | 0 | 0 | 0 | 1 | 1 | 0 | 4 | 9 | 15 | 927 | 62 |
| 678. | Tom Gullikson | 0 | 0 | 0 | 1 | 0 | 9 | 8 | 10 | 28 | 1949 | 70 |
| 679. | Patrick Kuehnen | 0 | 0 | 0 | 1 | 0 | 7 | 9 | 10 | 27 | 1787 | 66 |
| 680. | Kateryna Bondarenko | 0 | 0 | 0 | 1 | 0 | 6 | 13 | 18 | 38 | 1989 | 52 |
| 681. | Laura Golarsa | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 26 | 39 | 1663 | 43 |
| 682. | Bruce Manson | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 11 | 23 | 1455 | 63 |
| 683. | Chris Woodruff | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 8 | 20 | 1425 | 71 |
| 684. | Linda Harvey | 0 | 0 | 0 | 1 | 0 | 5 | 11 | 16 | 33 | 1743 | 53 |
| 685. | John Millman | 0 | 0 | 0 | 1 | 0 | 5 | 7 | 17 | 30 | 1521 | 51 |
| 686. | Milan Šrejber | 0 | 0 | 0 | 1 | 0 | 5 | 6 | 4 | 16 | 1333 | 83 |
| 687. | Jennifer Mundel | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 9 | 18 | 1209 | 67 |
| 688. | Guido Pella | 0 | 0 | 0 | 1 | 0 | 4 | 11 | 16 | 32 | 1633 | 51 |
| 689. | Nicklas Kulti | 0 | 0 | 0 | 1 | 0 | 4 | 10 | 16 | 31 | 1575 | 51 |
| 690. | Shlomo Glickstein | 0 | 0 | 0 | 1 | 0 | 4 | 7 | 13 | 25 | 1371 | 55 |
| 691. | Tomás Martín Etcheverry | 0 | 0 | 0 | 1 | 0 | 4 | 6 | 8 | 19 | 1263 | 66 |
| 692. | Jürgen Fassbender | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 11 | 21 | 1235 | 59 |
| 693. | Barbara Schwartz | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 10 | 18 | 1109 | 62 |
| 694. | Ricardo Acuña | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 9 | 15 | 983 | 66 |
| 695. | Peter Fleming | 0 | 0 | 0 | 1 | 0 | 3 | 15 | 8 | 27 | 1675 | 62 |
| 696. | Lu Yen-hsun | 0 | 0 | 0 | 1 | 0 | 3 | 13 | 34 | 51 | 1819 | 36 |
| 697. | Manon Bollegraf | 0 | 0 | 0 | 1 | 0 | 3 | 11 | 16 | 31 | 1523 | 49 |
| 698. | Sylvia Plischke | 0 | 0 | 0 | 1 | 0 | 3 | 9 | 2 | 15 | 1267 | 84 |
| 699. | Viktorija Golubic | 0 | 0 | 0 | 1 | 0 | 3 | 8 | 24 | 36 | 1429 | 40 |
| 700. | Vladimír Zedník | 0 | 0 | 0 | 1 | 0 | 3 | 6 | 10 | 20 | 1173 | 59 |
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.