WTA live rankings
| Rank | Player | Age | Points | Week | Current | Next | Max | |
|---|---|---|---|---|---|---|---|---|
| 1 | – | 🇰🇿Elena Rybakina Lost in Tokyo QF | 27 | 9609 | +108 | Lost in Tokyo QF | ||
| 2 | – | 🇧🇾Aryna Sabalenka | 28 | 7550 | ||||
| 3 | – | 🇷🇺Mirra Andreeva | 19 | 6306 | ||||
| 4 | – | 🇺🇸Jessica Pegula | 32 | 6225 | ||||
| 5 | – | 🇺🇸Cori Gauff | 22 | 5973 | ||||
| 6 | – | 🇺🇦Elina Svitolina | 32 | 5229 | ||||
| 7 | – | 🇨🇿Karolina Muchova | 30 | 4725 | ||||
| 8 | – | 🇵🇱Iga Swiatek | 25 | 4389 | ||||
| 9 | – | 🇨🇿Linda Noskova | 21 | 4353 | ||||
| 10 | – | 🇺🇦Marta Kostyuk | 24 | 3920 | ||||
| 11 | ▲2 | 🇷🇺Diana Shnaider Tokyo F, next 3298, max 3298 | 22 | 3123 | +325 | Tokyo F | 3298 | 3298 |
| 12 | ▼1 | 🇵🇱Maja Chwalinska | 25 | 3016 | ||||
| 13 | ▼1 | 🇺🇸Iva Jovic | 18 | 2941 | ||||
| 14 | – | 🇧🇪Elise Mertens Lost in Tokyo R16 | 30 | 2600 | +60 | Lost in Tokyo R16 | ||
| 15 | ▲2 | 🇺🇸Amanda Anisimova | 25 | 2363 | ||||
| 16 | ▲2 | 🇯🇵Naomi Osaka Lost in Tokyo R16 | 29 | 2347 | +60 | Lost in Tokyo R16 | ||
| 17 | ▼1 | 🇷🇴Sorana Cirstea Lost in Tokyo R32 | 36 | 2333 | -53 | Lost in Tokyo R32 | ||
| 18 | ▲1 | 🇵🇭Alexandra Eala Lost in Tokyo QF | 21 | 2319 | +78 | Lost in Tokyo QF | ||
| 19 | ▲4 | 🇨🇦Leylah Annie Fernandez Tokyo F, next 2376, max 2376 | 24 | 2201 | +227 | Tokyo F | 2376 | 2376 |
| 20 | – | 🇨🇭Belinda Bencic | 29 | 2168 | -54 | |||
| 21 | ▼6 | 🇨🇦Victoria Mboko | 20 | 2143 | -250 | |||
| 22 | ▼1 | 🇺🇸Madison Keys | 31 | 2029 | ||||
| 23 | ▼1 | 🇨🇳Qinwen Zheng | 24 | 2018 | ||||
| 24 | – | 🇨🇿Marie Bouzkova | 28 | 1959 | ||||
| 25 | ▲1 | 🇱🇻Jelena Ostapenko | 29 | 1916 | ||||
| 26 | ▼1 | 🇷🇺Anna Kalinskaya | 27 | 1881 | -54 | |||
| 27 | – | 🇦🇹Anastasia Potapova | 25 | 1814 | ||||
| 28 | – | 🇺🇸Emma Navarro | 25 | 1794 | ||||
| 29 | – | 🇨🇿Nikola Bartunkova Lost in Tokyo R32 | 20 | 1711 | Lost in Tokyo R32 | |||
| 30 | – | 🇬🇷Maria Sakkari Lost in Tokyo R32 | 31 | 1683 | +1 | Lost in Tokyo R32 | ||
| 31 | – | 🇺🇸Ann Li Lost in Tokyo R32 | 26 | 1681 | Lost in Tokyo R32 | |||
| 32 | ▲1 | 🇷🇺Ekaterina Alexandrova Lost in Tokyo R16 | 31 | 1651 | +60 | Lost in Tokyo R16 | ||
| 33 | ▼1 | 🇨🇿Sara Bejlek | 20 | 1633 | ||||
| 34 | – | 🇫🇷Diane Parry Lost in Tokyo R32 | 24 | 1520 | -29 | Lost in Tokyo R32 | ||
| 35 | – | 🇮🇹Jasmine Paolini Lost in Tokyo R32 | 30 | 1513 | +1 | Lost in Tokyo R32 | ||
| 36 | ▲2 | 🇦🇺Talia Gibson Lost in Tokyo R16 | 22 | 1365 | +59 | Lost in Tokyo R16 | ||
| 37 | – | 🇺🇸Peyton Stearns | 25 | 1316 | ||||
| 38 | ▲1 | 🇨🇳Xinyu Wang Lost in Tokyo R32 | 25 | 1289 | +1 | Lost in Tokyo R32 | ||
| 39 | ▲1 | 🇺🇦Daria Snigur Lost in Guangzhou R32 | 24 | 1281 | +1 | Lost in Guangzhou R32 | ||
| 40 | ▼4 | 🇭🇷Donna Vekic | 30 | 1279 | -54 | |||
| 41 | ▲2 | 🇷🇺Liudmila Samsonova | 27 | 1234 | ||||
| 42 | ▲2 | 🇺🇸Ashlyn Krueger | 22 | 1233 | ||||
| 43 | ▼2 | 🇦🇺Kimberly Birrell Lost in Tokyo R16 | 28 | 1177 | -103 | Lost in Tokyo R16 | ||
| 44 | ▼2 | 🇪🇸Cristina Bucsa Lost in Tokyo R16 | 28 | 1176 | -103 | Lost in Tokyo R16 | ||
| 45 | ▲21 | 🇺🇿Kamilla Rakhimova Lost in Tokyo SF | 25 | 1170 | +194 | Lost in Tokyo SF | ||
| 46 | ▼1 | 🇺🇸Hailey Baptiste | 24 | 1153 | ||||
| 47 | ▲2 | 🇨🇿Katerina Siniakova Lost in Guangzhou R16 | 30 | 1144 | +30 | Lost in Guangzhou R16 | ||
| 48 | ▼2 | 🇨🇿Barbora Krejcikova | 30 | 1133 | ||||
| 49 | ▼1 | 🇬🇧Katie Boulter | 30 | 1114 | -1 | |||
| 50 | – | 🇵🇱Magdalena Frech | 28 | 1110 | ||||
| 51 | – | 🇨🇿Karolina Pliskova | 34 | 1105 | ||||
| 52 | – | 🇬🇧Sonay Kartal | 25 | 1097 | ||||
| 53 | – | 🇦🇹Lilli Tagger Guangzhou F, next 1178, max 1178 | 18 | 1091 | Guangzhou F | 1178 | 1178 | |
| 54 | – | 🇺🇦Yuliia Starodubtseva | 26 | 1089 | -1 | |||
| 55 | – | 🇺🇦Anhelina Kalinina | 29 | 1087 | ||||
| 56 | – | 🇪🇬Mayar Sherif | 30 | 1085 | ||||
| 57 | ▲4 | 🇪🇸Paula Badosa Gibert Lost in Guangzhou QF | 28 | 1077 | +54 | Lost in Guangzhou QF | ||
| 58 | – | 🇩🇰Clara Tauson | 23 | 1074 | ||||
| 59 | ▲6 | 🇺🇸Alycia Parks Lost in Tokyo QF | 25 | 1039 | +54 | Lost in Tokyo QF | ||
| 60 | – | 🇷🇴Elena Gabriela Ruse | 28 | 1033 | ||||
| 61 | ▲1 | 🇺🇦Oleksandra Oliynykova | 25 | 1022 | ||||
| 62 | ▼3 | 🇩🇪Tamara Korpatsch | 31 | 1016 | -54 | |||
| 63 | – | 🇺🇸Caty McNally | 24 | 999 | ||||
| 64 | – | 🇹🇷Zeynep Sonmez Lost in Guangzhou R16 | 24 | 987 | Lost in Guangzhou R16 | |||
| 65 | ▼8 | 🇹🇭Lanlana Tararudee Lost in Guangzhou R32 | 22 | 986 | -97 | Lost in Guangzhou R32 | ||
| 66 | ▲1 | 🇰🇿Yulia Putintseva Lost in Tokyo R16 | 31 | 975 | +6 | Lost in Tokyo R16 | ||
| 67 | ▲4 | 🇵🇱Magda Linette Lost in Guangzhou R16 | 34 | 966 | +30 | Lost in Guangzhou R16 | ||
| 68 | ▲4 | 🇺🇿Maria Timofeeva Lost in Guangzhou R16 | 960 | +29 | Lost in Guangzhou R16 | |||
| 69 | ▲17 | 🇪🇸Kaitlin Quevedo Lost in Guangzhou SF | 20 | 953 | +98 | Lost in Guangzhou SF | ||
| 70 | ▼2 | 🇨🇴Maria Camila Osorio Serrano | 24 | 952 | -1 | |||
| 71 | ▼1 | 🇩🇪Tatjana Maria | 39 | 945 | ||||
| 72 | ▲5 | 🇦🇹Sinja Kraus Lost in Guangzhou R16 | 24 | 939 | +30 | Lost in Guangzhou R16 | ||
| 73 | ▼4 | 🇮🇹Elisabetta Cocciaretto | 25 | 921 | -30 | |||
| 74 | ▲1 | 🇦🇺Daria Kasatkina Lost in Tokyo R32 | 29 | 914 | +1 | Lost in Tokyo R32 | ||
| 75 | ▲1 | 🇭🇺Anna Bondar Lost in Guangzhou R16 | 29 | 913 | Lost in Guangzhou R16 | |||
| 76 | ▼29 | 🇮🇩Janice Tjen Lost in Guangzhou R16 | 24 | 900 | -220 | Lost in Guangzhou R16 | ||
| 77 | ▲1 | 🇭🇺Panna Udvardy Lost in Guangzhou R32 | 28 | 900 | +1 | Lost in Guangzhou R32 | ||
| 78 | ▲1 | 🇷🇺Alina Korneeva | 19 | 894 | -1 | |||
| 79 | ▲1 | 🇹🇭Mananchaya Sawangkaew Lost in Guangzhou R32 | 887 | +1 | Lost in Guangzhou R32 | |||
| 80 | ▲1 | 🇺🇸Katie Volynets Lost in Guangzhou R32 | 24 | 875 | +1 | Lost in Guangzhou R32 | ||
| 81 | ▲2 | 🇷🇴Jaqueline Cristian | 28 | 869 | ||||
| 82 | – | 🇨🇳Xiyu Wang | 25 | 868 | -1 | |||
| 83 | ▲1 | 🇭🇷Antonia Ruzic Lost in Guangzhou R32 | 23 | 863 | +1 | Lost in Guangzhou R32 | ||
| 84 | ▲1 | 🇦🇺Taylah Preston | 858 | |||||
| 85 | ▲2 | 🇨🇿Tereza Valentova Lost in Tokyo R32 | 19 | 854 | +1 | Lost in Tokyo R32 | ||
| 86 | ▲2 | 🇭🇷Petra Marcinko | 20 | 835 | ||||
| 87 | ▲2 | 🇺🇸Taylor Townsend | 30 | 831 | ||||
| 88 | ▲27 | 🇬🇧Harriet Dart Guangzhou F, next 911, max 911 | 824 | +163 | Guangzhou F | 911 | 911 | |
| 89 | ▼15 | 🇨🇭Viktorija Golubic | 34 | 816 | -98 | |||
| 90 | – | 🇫🇷Leolia Jeanjean | 816 | |||||
| 91 | – | 🇺🇿Polina Kudermetova Lost in Guangzhou R32 | 23 | 813 | Lost in Guangzhou R32 | |||
| 92 | – | 🇨🇿Darja Vidmanova | 812 | |||||
| 93 | ▲1 | 🇦🇺Maya Joint Lost in Tokyo QF | 20 | 792 | +10 | Lost in Tokyo QF | ||
| 94 | ▲1 | 🇲🇽Renata Zarazua | 782 | |||||
| 95 | ▲2 | 🇺🇦Dayana Yastremska Lost in Guangzhou R16 | 26 | 782 | +30 | Lost in Guangzhou R16 | ||
| 96 | ▼3 | 🇨🇳Shuai Zhang | 37 | 777 | -30 | |||
| 97 | ▼1 | 🇪🇸Jessica Bouzas Maneiro | 24 | 769 | ||||
| 98 | – | 🇬🇧Francesca Jones | 751 | -1 | ||||
| 99 | – | 🇫🇷Fiona Ferro | 748 | |||||
| 100 | ▲12 | 🇧🇾Aliaksandra Sasnovich Lost in Tokyo R16 | 32 | 745 | +59 | Lost in Tokyo R16 |