| # | Player | W | F | S | Q | R16 | R32 | R64 | R128 | APPS | PTS | PTS/APP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1051. | Carol Prosen | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 200 | 100 |
| 1052. | Pixie Lamm | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 200 | 100 |
| 1053. | Francesca Gordigiani | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 200 | 100 |
| 1054. | Yuan Yue | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 13 | 250 | 19 |
| 1055. | Maria Lindström | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | 200 | 25 |
| 1056. | Catrin Jexell | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | 200 | 25 |
| 1057. | Jessika Ponchet | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | 190 | 27 |
| 1058. | Zsófia Gubacsi | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | 190 | 27 |
| 1059. | Angela Haynes | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | 180 | 30 |
| 1060. | Emiko Okagawa | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | 180 | 30 |
| 1061. | Yvona Brzáková | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | 180 | 30 |
| 1062. | Anastasia Pivovarova | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 170 | 34 |
| 1063. | Abigail Spears | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 170 | 34 |
| 1064. | Marzia Grossi | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 170 | 34 |
| 1065. | Andrea Vieira | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 170 | 34 |
| 1066. | Kris Kinney | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | 170 | 34 |
| 1067. | Ahsha Rolle | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | 160 | 40 |
| 1068. | Caroline Dhenin | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | 160 | 40 |
| 1069. | Carol Christian | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | 160 | 40 |
| 1070. | Elena Eliseenko | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | 160 | 40 |
| 1071. | Sheila McInerney | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | 160 | 40 |
| 1072. | Oleksandra Oliynykova | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | 150 | 50 |
| 1073. | Valeria Savinykh | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | 150 | 50 |
| 1074. | Cindy Watson | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | 150 | 50 |
| 1075. | Bea Bielik | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | 150 | 50 |
| 1076. | Romana Tedjakusuma | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | 150 | 50 |
| 1077. | Michaela Pazderova | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | 150 | 50 |
| 1078. | Mananchaya Sawangkaew | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 140 | 70 |
| 1079. | Cecille Calmette | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 140 | 70 |
| 1080. | Cathy Drury | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 140 | 70 |
| 1081. | Heather Crowe | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 140 | 70 |
| 1082. | Hideko Goto | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 140 | 70 |
| 1083. | Marion Cristiani | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 140 | 70 |
| 1084. | Wendy Appleby | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 140 | 70 |
| 1085. | Betty Rosenquest Pratt | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 140 | 70 |
| 1086. | Natalija Stevanović | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1087. | Beatrice Capra | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1088. | Surina De Beer | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1089. | Stacey Schefflin | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1090. | Miranda Yates | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1091. | Birgitte Hermansen | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1092. | Pam Bailey | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1093. | Silvana Urroz | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1094. | Sharon Pichbeck | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1095. | Michelle Berrigan | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1096. | Lotta Stenberg | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1097. | Merrilyn Robinson | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1098. | Daryl Gralka | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1099. | Masako Yokobori | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
| 1100. | Toshiko Sade | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 130 | 130 |
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.