| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1001. | Mary-Ann Eisel | 0 | 0 | 0 | 0 | 1 | 4 | 6 | 0 | 11 | 998 | 91 |
| 1002. | Sherry Acker | 0 | 0 | 0 | 0 | 1 | 4 | 5 | 5 | 15 | 990 | 66 |
| 1003. | Stacy Margolin | 0 | 0 | 0 | 0 | 1 | 4 | 5 | 4 | 14 | 980 | 70 |
| 1004. | Karin Knapp | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 16 | 25 | 1042 | 42 |
| 1005. | Jenson Brooksby | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 7 | 16 | 952 | 60 |
| 1006. | Aleksandra Krunić | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 16 | 24 | 984 | 41 |
| 1007. | Mara Santangelo | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 13 | 21 | 954 | 45 |
| 1008. | Michelle Tyler | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 4 | 12 | 864 | 72 |
| 1009. | Jenny Dimond | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 9 | 834 | 93 |
| 1010. | Nell Truman | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 9 | 834 | 93 |
| 1011. | Richard Lewis | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 14 | 21 | 906 | 43 |
| 1012. | Jéssica Bouzas Maneiro | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 5 | 12 | 816 | 68 |
| 1013. | Pauline Parmentier | 0 | 0 | 0 | 0 | 1 | 3 | 15 | 30 | 49 | 1710 | 35 |
| 1014. | Thomaz Bellucci | 0 | 0 | 0 | 0 | 1 | 3 | 14 | 18 | 36 | 1532 | 43 |
| 1015. | Emmanuelle Gagliardi | 0 | 0 | 0 | 0 | 1 | 3 | 13 | 25 | 42 | 1544 | 37 |
| 1016. | Olga Govortsova | 0 | 0 | 0 | 0 | 1 | 3 | 13 | 21 | 38 | 1504 | 40 |
| 1017. | Alejandro Falla | 0 | 0 | 0 | 0 | 1 | 3 | 12 | 18 | 34 | 1416 | 42 |
| 1018. | Sania Mirza | 0 | 0 | 0 | 0 | 1 | 3 | 12 | 10 | 26 | 1336 | 51 |
| 1019. | Cara Black | 0 | 0 | 0 | 0 | 1 | 3 | 11 | 15 | 30 | 1328 | 44 |
| 1020. | Eddie Edwards | 0 | 0 | 0 | 0 | 1 | 3 | 11 | 9 | 24 | 1268 | 53 |
| 1021. | Christiane Jolissaint | 0 | 0 | 0 | 0 | 1 | 3 | 10 | 11 | 25 | 1230 | 49 |
| 1022. | Martin Kližan | 0 | 0 | 0 | 0 | 1 | 3 | 9 | 15 | 28 | 1212 | 43 |
| 1023. | Květa Peschke | 0 | 0 | 0 | 0 | 1 | 3 | 9 | 13 | 26 | 1192 | 46 |
| 1024. | Jackie Fayter | 0 | 0 | 0 | 0 | 1 | 3 | 9 | 5 | 18 | 1112 | 62 |
| 1025. | Reilly Opelka | 0 | 0 | 0 | 0 | 1 | 3 | 8 | 10 | 22 | 1104 | 50 |
| 1026. | Lee Duk-hee | 0 | 0 | 0 | 0 | 1 | 3 | 8 | 2 | 14 | 1024 | 73 |
| 1027. | Linda Ferrando | 0 | 0 | 0 | 0 | 1 | 3 | 7 | 12 | 23 | 1066 | 46 |
| 1028. | Ann Li | 0 | 0 | 0 | 0 | 1 | 3 | 7 | 8 | 19 | 1026 | 54 |
| 1029. | Nduka Odizor | 0 | 0 | 0 | 0 | 1 | 3 | 7 | 7 | 18 | 1016 | 56 |
| 1030. | Jens Knippschild | 0 | 0 | 0 | 0 | 1 | 3 | 7 | 6 | 17 | 1006 | 59 |
| 1031. | Henrik Holm | 0 | 0 | 0 | 0 | 1 | 3 | 7 | 6 | 17 | 1006 | 59 |
| 1032. | Marc Gicquel | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 14 | 24 | 1028 | 43 |
| 1033. | Daniel Nestor | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 13 | 23 | 1018 | 44 |
| 1034. | Magdalena Fręch | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 12 | 22 | 1008 | 46 |
| 1035. | Laura Garrone | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 12 | 22 | 1008 | 46 |
| 1036. | Diego Perez | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 11 | 21 | 998 | 48 |
| 1037. | Eric Jelen | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 11 | 21 | 998 | 48 |
| 1038. | Paul Gerken | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 5 | 15 | 938 | 63 |
| 1039. | Jeanne Evert | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 1 | 11 | 898 | 82 |
| 1040. | Esme Emmanuel | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 1 | 11 | 898 | 82 |
| 1041. | Annika Beck | 0 | 0 | 0 | 0 | 1 | 3 | 5 | 12 | 21 | 950 | 45 |
| 1042. | Horacio de la Peña | 0 | 0 | 0 | 0 | 1 | 3 | 5 | 12 | 21 | 950 | 45 |
| 1043. | Mark Kratzmann | 0 | 0 | 0 | 0 | 1 | 3 | 5 | 12 | 21 | 950 | 45 |
| 1044. | Cristina Bucșa | 0 | 0 | 0 | 0 | 1 | 3 | 5 | 10 | 19 | 930 | 49 |
| 1045. | Elly Appel-Vessies | 0 | 0 | 0 | 0 | 1 | 3 | 5 | 6 | 15 | 890 | 59 |
| 1046. | Frédérique Thibault | 0 | 0 | 0 | 0 | 1 | 3 | 5 | 4 | 13 | 870 | 67 |
| 1047. | Marina Kroschina | 0 | 0 | 0 | 0 | 1 | 3 | 5 | 0 | 9 | 830 | 92 |
| 1048. | Karol Beck | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 16 | 24 | 932 | 39 |
| 1049. | Christian Ruud | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 16 | 24 | 932 | 39 |
| 1050. | Lars Jonsson | 0 | 0 | 0 | 0 | 1 | 3 | 4 | 14 | 22 | 912 | 41 |
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.