| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 451. | Jil Teichmann | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 13 | 20 | 960 | 48 |
| 452. | Kyōko Nagatsuka | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 10 | 17 | 930 | 55 |
| 453. | Janine Thompson | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 8 | 13 | 770 | 59 |
| 454. | Edda Buding | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 3 | 550 | 183 |
| 455. | Iva Budařová | 0 | 0 | 0 | 0 | 1 | 9 | 12 | 13 | 35 | 2380 | 68 |
| 456. | Alona Bondarenko | 0 | 0 | 0 | 0 | 1 | 9 | 5 | 12 | 27 | 1880 | 70 |
| 457. | Tathiana Garbin | 0 | 0 | 0 | 0 | 1 | 8 | 17 | 19 | 45 | 2660 | 59 |
| 458. | Shaun Stafford | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 14 | 30 | 1910 | 64 |
| 459. | Kateřina Siniaková | 0 | 0 | 0 | 0 | 1 | 7 | 15 | 24 | 47 | 2440 | 52 |
| 460. | Émilie Loit | 0 | 0 | 0 | 0 | 1 | 7 | 15 | 18 | 41 | 2380 | 58 |
| 461. | Ilana Kloss | 0 | 0 | 0 | 0 | 1 | 7 | 9 | 2 | 19 | 1800 | 95 |
| 462. | Isabelle Demongeot | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 22 | 37 | 1860 | 50 |
| 463. | Elise Burgin | 0 | 0 | 0 | 0 | 1 | 6 | 18 | 8 | 33 | 2360 | 72 |
| 464. | Marcella Mesker | 0 | 0 | 0 | 0 | 1 | 6 | 12 | 10 | 29 | 1960 | 68 |
| 465. | Tami Whitlinger | 0 | 0 | 0 | 0 | 1 | 6 | 9 | 18 | 34 | 1830 | 54 |
| 466. | Ingrid Löfdahl Bentzer | 0 | 0 | 0 | 0 | 1 | 6 | 9 | 4 | 20 | 1690 | 85 |
| 467. | Nicole Pratt | 0 | 0 | 0 | 0 | 1 | 5 | 17 | 27 | 50 | 2350 | 47 |
| 468. | Alexia Dechaume-Balleret | 0 | 0 | 0 | 0 | 1 | 5 | 14 | 23 | 43 | 2100 | 49 |
| 469. | Madison Brengle | 0 | 0 | 0 | 0 | 1 | 5 | 10 | 24 | 40 | 1830 | 46 |
| 470. | María Sánchez Lorenzo | 0 | 0 | 0 | 0 | 1 | 5 | 10 | 22 | 38 | 1810 | 48 |
| 471. | Nathalie Herreman | 0 | 0 | 0 | 0 | 1 | 5 | 9 | 18 | 33 | 1700 | 52 |
| 472. | Lea Antonoplis | 0 | 0 | 0 | 0 | 1 | 5 | 9 | 17 | 32 | 1690 | 53 |
| 473. | Bernarda Pera | 0 | 0 | 0 | 0 | 1 | 5 | 7 | 17 | 30 | 1550 | 52 |
| 474. | Nicole Muns-Jagerman | 0 | 0 | 0 | 0 | 1 | 5 | 7 | 14 | 27 | 1520 | 56 |
| 475. | Varvara Gracheva | 0 | 0 | 0 | 0 | 1 | 5 | 7 | 8 | 21 | 1460 | 70 |
| 476. | Diane Parry | 0 | 0 | 0 | 0 | 1 | 5 | 6 | 10 | 22 | 1410 | 64 |
| 477. | Sue Saliba | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 2 | 13 | 1260 | 97 |
| 478. | Akiko Kijimuta | 0 | 0 | 0 | 0 | 1 | 5 | 3 | 11 | 20 | 1210 | 61 |
| 479. | Peyton Stearns | 0 | 0 | 0 | 0 | 1 | 5 | 1 | 8 | 15 | 1040 | 69 |
| 480. | Heather Watson | 0 | 0 | 0 | 0 | 1 | 4 | 12 | 28 | 45 | 1880 | 42 |
| 481. | Nicole Arendt | 0 | 0 | 0 | 0 | 1 | 4 | 11 | 8 | 24 | 1610 | 67 |
| 482. | Anna Karolína Schmiedlová | 0 | 0 | 0 | 0 | 1 | 4 | 10 | 24 | 39 | 1700 | 44 |
| 483. | Mona Barthel | 0 | 0 | 0 | 0 | 1 | 4 | 10 | 21 | 36 | 1670 | 46 |
| 484. | Mariaan de Swardt | 0 | 0 | 0 | 0 | 1 | 4 | 9 | 10 | 24 | 1490 | 62 |
| 485. | Monica Puig | 0 | 0 | 0 | 0 | 1 | 4 | 8 | 15 | 28 | 1470 | 53 |
| 486. | Aleksandra Wozniak | 0 | 0 | 0 | 0 | 1 | 4 | 7 | 15 | 27 | 1400 | 52 |
| 487. | Mana Endo | 0 | 0 | 0 | 0 | 1 | 4 | 6 | 11 | 22 | 1290 | 59 |
| 488. | Mary-Ann Eisel | 0 | 0 | 0 | 0 | 1 | 4 | 6 | 0 | 11 | 1180 | 107 |
| 489. | Sherry Acker | 0 | 0 | 0 | 0 | 1 | 4 | 5 | 5 | 15 | 1160 | 77 |
| 490. | Stacy Margolin | 0 | 0 | 0 | 0 | 1 | 4 | 5 | 4 | 14 | 1150 | 82 |
| 491. | Karin Knapp | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 16 | 25 | 1200 | 48 |
| 492. | Aleksandra Krunić | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 16 | 24 | 1130 | 47 |
| 493. | Mara Santangelo | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 13 | 21 | 1100 | 52 |
| 494. | Michelle Tyler | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 4 | 12 | 1010 | 84 |
| 495. | Jenny Dimond | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 9 | 980 | 109 |
| 496. | Nell Truman | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 9 | 980 | 109 |
| 497. | Jéssica Bouzas Maneiro | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 5 | 11 | 880 | 80 |
| 498. | Pauline Parmentier | 0 | 0 | 0 | 0 | 1 | 3 | 15 | 30 | 49 | 1980 | 40 |
| 499. | Emmanuelle Gagliardi | 0 | 0 | 0 | 0 | 1 | 3 | 13 | 25 | 42 | 1790 | 43 |
| 500. | Olga Govortsova | 0 | 0 | 0 | 0 | 1 | 3 | 13 | 21 | 38 | 1750 | 46 |
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.