Rankings as of: Oct 12, 2026

WTA 2026 Season Leaders & Rankings

Compare singles rankings, points, and season records. Choose a year to explore earlier standings.

Elena Rybakina is WTA No. 1 in the latest rankings on October 12, 2026, with 9,696 points.

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Rankings Leaders

Ranking points, results, and season metrics for 2026.

313 players with >= 1 match

# Player Country Rank Points Wk +/− YTD Δ W L Win % Titles AORGWUSO Elo P+ Serve+ Return+ PD Set Win % Set Margin Pressure+ Schedule Form Δ
1 Elena Rybakina KAZ 1 9,696 – ▲ 4 49 14 77.8% 3 W R64 R32 W 2,160 172.8 +7.74 +1.46 1.215 71.6% +1.41 101.5 -1.9 +17.0
2 Aryna Sabalenka BLR 2 7,550 – ▼ 1 47 11 81.0% 3 F QF R16 F 2,130 169.8 +7.78 +3.32 1.323 79.1% +1.76 93.5 -0.4 -30.5
3 Mirra Andreeva RUS 3 6,371 ↑2 ▲ 5 50 16 75.8% 3 R16 W R64 QF 2,041 168.0 +5.12 +5.25 1.290 70.6% +1.68 103.8 +1.6 -1.9
4 Jessica Pegula USA 4 6,225 ↓1 ▲ 2 50 14 78.1% 2 SF R128 QF SF 2,113 168.1 +6.04 +3.57 1.231 69.3% +1.25 107.7 -1.0 -5.8
5 Coco Gauff USA 5 5,974 ↓1 ▼ 2 45 14 76.3% 1 QF R32 SF SF 2,136 166.4 +3.08 +5.67 1.177 68.1% +1.31 106.5 -0.1 -2.3
6 Elina Svitolina UKR 6 5,024 ↑1 ▲ 6 48 16 75.0% 2 SF QF R128 R32 2,048 167.1 +3.18 +5.11 1.192 67.3% +1.38 108.0 +0.0 -23.4
7 Karolina Muchova CZE 7 4,773 ↑1 ▲ 12 40 12 76.9% 2 R16 R32 F R32 2,073 162.2 +5.84 +1.66 1.206 68.3% +1.00 116.0 -1.1 -32.6
8 Linda Noskova CZE 8 4,679 ↓2 ▲ 5 36 15 70.6% 2 R32 R128 W QF 2,046 157.0 +6.17 +0.32 1.163 63.2% +1.09 103.7 -0.1 -0.2
9 Iga Swiatek POL 9 3,999 – ▼ 7 39 14 73.6% 1 QF R16 R32 R16 2,095 167.8 +5.69 +7.06 1.351 70.0% +1.87 93.3 +1.0 -28.6
10 Marta Kostyuk UKR 10 3,910 – ▲ 10 36 11 76.6% 2 R128 SF SF R16 2,031 165.9 +4.25 +5.34 1.223 70.1% +1.59 102.1 -2.5 -41.1
11 Iva Jovic USA 11 2,860 ↑2 ▲ 19 41 19 68.3% 1 QF R32 R16 R16 1,960 157.1 +2.71 +3.32 1.156 65.7% +1.07 103.3 +1.1 +2.8
12 Belinda Bencic SUI 12 2,760 – ▼ 2 22 14 61.1% 0 R64 R16 R16 R128 1,935 155.7 +4.16 +3.58 1.218 64.2% +1.00 94.7 +1.0 -53.4
13 Diana Shnaider RUS 13 2,643 ↑1 ▲ 10 32 21 60.4% 0 R32 SF R64 R32 1,953 161.2 +2.35 +2.95 1.101 59.0% +0.80 100.4 -1.3 -1.1
14 Elise Mertens BEL 14 2,540 ↑5 ▲ 7 31 20 60.8% 0 R16 R64 QF R32 1,919 151.5 +2.99 +1.96 1.108 57.9% +0.68 104.3 +1.0 +20.2
15 Victoria Mboko CAN 15 2,502 – ▲ 2 23 9 71.9% 0 R16 R32 — — 1,981 164.0 +3.43 +2.51 1.128 65.8% +1.03 110.8 +0.5 —
16 Sorana Cirstea ROU 16 2,424 – ▲ 25 35 16 68.6% 1 R64 QF R32 R16 1,957 160.6 +3.69 +3.03 1.166 67.8% +1.31 102.9 -0.8 -25.2
17 Amanda Anisimova USA 17 2,363 ↓6 ▼ 13 23 12 65.7% 0 QF R32 R32 R32 2,011 157.7 +4.45 +4.17 1.250 60.8% +1.05 96.9 +1.1 -3.8
18 Naomi Osaka JPN 18 2,351 ↓1 ▼ 2 29 12 70.7% 0 R32 R16 QF R16 2,050 159.6 +5.20 +0.94 1.155 66.3% +1.11 109.2 -1.0 +4.7
19 Alexandra Eala PHI 19 2,241 ↓1 ▲ 30 32 22 59.3% 1 R128 R128 R16 R32 1,917 153.4 +0.14 +2.34 1.032 57.1% +0.41 103.2 -0.8 -51.1
20 Madison Keys USA 20 2,110 ↑3 ▼ 11 31 14 68.9% 1 R16 R16 R16 R32 1,982 152.9 +5.19 +2.76 1.218 65.7% +1.21 93.5 +1.0 -25.3
21 Anna Kalinskaya RUS 21 2,043 ↑1 ▲ 12 27 19 58.7% 0 R32 QF R32 R16 1,914 153.5 +1.05 +1.64 1.031 56.0% +0.11 107.8 -0.7 -3.7
22 Maja Chwalinska POL 22 2,043 ↓1 ▲ 123 17 9 65.4% 0 Q3 F R128 R128 1,889 149.2 +1.41 +3.01 1.101 62.7% +0.97 103.5 -0.4 +79.6
23 Qinwen Zheng CHN 23 2,018 ↑31 ▲ 2 22 13 62.9% 1 — R128 R128 QF 2,020 151.9 +4.67 -1.49 1.054 55.6% +0.31 107.7 -1.2 +85.8
24 Ekaterina Alexandrova RUS 24 1,906 ↑4 ▼ 13 20 24 45.5% 0 R128 R128 R32 R32 1,860 144.5 +1.60 -0.07 1.010 47.6% -0.01 92.6 +1.2 +12.8
25 Leylah Fernandez CAN 25 1,839 ↑1 ▼ 3 24 24 50.0% 1 R128 R128 R128 R32 1,851 147.8 +1.81 -0.46 1.029 50.0% +0.30 94.6 +1.8 +22.9
26 Anastasia Potapova AUT 26 1,816 ↓1 ▲ 28 26 18 59.1% 0 R32 R16 R128 R16 1,854 144.9 -1.70 +1.46 0.968 55.9% +0.35 105.9 +0.5 -11.9
27 Emma Navarro USA 27 1,809 ↓3 ▼ 12 24 18 57.1% 1 R128 R64 R32 QF 1,911 139.7 +1.69 +0.48 1.041 55.2% +0.35 98.8 +0.2 +31.4
28 Marie Bouzkova CZE 28 1,763 ↓1 ▲ 17 31 20 60.8% 2 R64 R32 R16 R32 1,873 150.0 +2.50 +2.61 1.143 58.2% +0.65 102.7 +1.7 0.0
29 Nikola Bartunkova CZE 29 1,661 ↑5 ▲ 97 25 15 62.5% 0 R32 R128 R32 R32 1,892 148.0 +2.08 +0.71 1.028 55.6% +0.36 104.4 -0.5 +45.6
30 Sara Bejlek CZE 30 1,650 ↓1 ▲ 58 22 19 53.7% 1 R128 R64 R128 R128 1,827 147.5 -1.62 +3.00 1.004 52.3% +0.22 106.4 -0.3 -0.1
31 Ann Li USA 31 1,648 ↓1 ▲ 7 29 25 53.7% 0 R64 R64 R128 R32 1,869 149.5 +1.84 -0.30 1.017 51.2% +0.14 104.7 +1.3 +58.9
32 Diane Parry FRA 32 1,541 ↓1 ▲ 90 19 14 57.6% 1 Q1 R16 R64 R64 1,774 130.2 +1.32 -1.57 0.972 53.3% +0.03 108.5 +1.3 +2.2
33 Jasmine Paolini ITA 33 1,528 ↓13 ▼ 26 18 15 54.5% 0 R32 R64 QF R32 1,886 140.5 -0.81 +0.91 0.998 51.3% +0.10 97.6 +2.5 +4.9
34 Jelena Ostapenko LAT 34 1,527 ↓2 ▼ 10 27 21 56.2% 0 R64 R64 R32 R128 1,867 150.1 -0.06 +1.69 1.046 56.3% +0.39 101.5 +1.5 +36.7
35 Maria Sakkari GRE 35 1,492 ↓2 ▲ 17 24 20 54.5% 0 R64 R32 R32 R64 1,844 150.0 +2.52 +0.58 1.049 53.9% +0.34 96.7 +1.3 +6.4
36 Donna Vekic CRO 36 1,325 ↑4 ▲ 34 13 16 44.8% 1 R128 R64 R128 R64 1,726 138.4 +0.74 -0.85 0.952 47.1% -0.21 98.6 +0.1 -51.9
37 Peyton Stearns USA 37 1,316 ↓1 ▲ 30 23 19 54.8% 1 R32 R32 R128 R128 1,741 140.7 +0.86 +0.86 1.067 55.7% +0.40 98.5 +0.3 -12.2
38 Cristina Bucsa ESP 38 1,294 ↓3 ▲ 13 14 19 42.4% 1 R128 R128 — R32 1,724 136.9 -2.18 -0.41 0.921 44.2% -0.42 97.4 +1.1 +6.1
39 Xinyu Wang CHN 39 1,288 ↓1 ▲ 4 22 22 50.0% 0 R16 R64 R64 R64 1,735 137.1 +1.25 -1.64 0.975 49.5% -0.08 98.1 +1.2 -1.5
40 Kimberly Birrell AUS 40 1,280 ↑1 ▲ 36 18 20 47.4% 1 R128 R64 R64 R64 1,758 137.4 -1.01 +0.36 0.967 47.9% -0.20 98.3 -0.7 +38.0
41 Talia Gibson AUS 41 1,273 ↓4 ▲ 78 18 18 50.0% 0 R64 R128 R128 R128 1,689 141.3 +0.35 -0.60 0.964 49.4% -0.25 102.3 -0.9 -18.1
42 Daria Snigur UKR 42 1,254 ↑4 ▲ 94 18 11 62.1% 0 Q3 R64 R32 R128 1,836 139.7 -0.57 +1.15 0.998 56.1% +0.30 109.5 -0.3 +12.6
43 Liudmila Samsonova RUS 43 1,229 ↓4 ▼ 25 21 25 45.6% 0 R128 R128 R32 R128 1,839 150.6 +1.12 +0.11 1.010 50.4% +0.10 93.1 +0.1 -2.1
44 Yuliia Starodubtseva UKR 44 1,165 ↑1 ▲ 66 16 18 47.1% 0 R128 R32 R128 R32 1,694 141.3 +1.04 +1.48 1.097 50.6% +0.12 94.2 +0.1 -8.8
45 Hailey Baptiste USA 45 1,155 ↓3 ▲ 21 17 11 60.7% 0 R32 R64 — — 1,856 151.5 +3.78 -0.24 1.064 57.1% +0.44 104.5 +0.1 —
46 Barbora Krejcikova CZE 46 1,134 ↓3 ▲ 9 18 12 60.0% 1 R128 R128 R16 R128 1,874 137.9 +2.61 +1.50 1.138 64.1% +1.09 94.9 +0.3 -50.8
47 Janice Tjen INA 47 1,125 ↑2 ▲ 9 15 26 36.6% 0 R64 R128 R64 R128 1,714 138.1 +0.36 -3.30 0.898 39.8% -0.83 100.2 -0.4 +28.7
48 Anhelina Kalinina UKR 48 1,107 ↑2 ▲ 131 11 15 42.3% 0 R128 R128 R128 R128 1,730 131.8 -2.09 +1.54 0.999 46.6% -0.05 — +0.2 -44.1
49 Karolina Pliskova CZE 49 1,105 ↑2 ▲ 367 21 11 65.6% 0 R32 Q2 R64 R64 1,855 135.9 +1.11 -1.26 0.979 58.9% -0.01 108.7 +0.3 -12.8
50 Tamara Korpatsch GER 50 1,086 ↑3 ▲ 74 13 11 54.2% 1 Q3 R32 R128 R128 1,682 129.1 -2.03 +0.15 0.957 50.0% -0.25 102.9 +0.3 -12.3
51 Oleksandra Oliynykova UKR 51 1,082 ↓4 ▲ 39 18 17 51.4% 0 R128 R32 R128 R64 1,705 122.1 -3.68 +0.97 0.919 52.0% -0.32 101.6 +0.6 -39.3
52 Mayar Sherif EGY 52 1,077 – ▲ 57 9 7 56.2% 1 Q1 R64 Q1 R128 1,745 128.0 -0.26 -1.23 0.991 54.1% +0.22 101.6 -0.6 -30.1
53 Clara Tauson DEN 53 1,065 ↓9 ▼ 39 16 23 41.0% 0 R32 R128 R128 R128 1,724 135.2 -0.51 -1.82 0.936 45.7% -0.18 93.5 +2.0 -38.6
54 Katie Boulter GBR 54 1,062 ↑2 ▲ 59 20 18 52.6% 1 R128 R64 R128 R64 1,766 140.2 -0.52 +0.07 0.966 49.4% -0.02 103.2 -1.4 -27.5
55 Lilli Tagger AUT 55 1,054 ↑6 ▲ 100 11 13 45.8% 1 Q3 R128 R128 R64 1,713 130.3 +2.44 -1.61 1.038 50.9% -0.14 95.1 -0.3 +11.4
56 Magdalena Frech POL 56 1,045 ↓8 ▲ 1 18 22 45.0% 0 R64 R64 R128 R128 1,720 140.4 +0.21 +1.37 1.045 47.3% -0.19 98.5 -0.2 -14.3
57 Elena-Gabriela Ruse ROU 57 1,033 ↑5 ▲ 22 17 20 46.0% 0 R32 R128 R128 R128 1,806 141.8 -1.54 +0.87 0.946 47.0% -0.28 101.5 -2.9 -24.7
58 Paula Badosa ESP 58 1,023 ↑1 ▼ 32 19 19 50.0% 0 R64 — R128 R64 1,847 139.9 -0.27 +0.54 0.992 50.6% +0.01 94.4 -0.9 -15.5
59 Zeynep Sonmez TUR 59 1,022 ↓1 ▲ 53 20 22 47.6% 0 R32 R128 R64 R128 1,766 136.9 -0.92 +0.68 1.001 45.4% -0.22 106.4 +0.4 -13.1
60 Lanlana Tararudee THA 60 1,022 ↑3 ▲ 71 8 9 47.1% 0 R128 Q1 R64 R64 1,745 127.1 -0.69 -0.13 0.956 44.7% -0.32 105.2 +0.5 -5.8
61 Jaqueline Cristian ROU 61 1,016 ↓1 ▼ 24 15 16 48.4% 0 R128 R128 R128 — 1,820 144.6 +0.41 -1.50 0.932 47.3% -0.33 99.9 -0.9 —
62 Tereza Valentova CZE 62 1,004 ↑3 ▼ 2 14 16 46.7% 0 R32 R128 R128 — 1,806 144.0 +0.02 +1.02 1.000 45.6% -0.09 99.6 -1.4 +4.5
63 Maria Timofeeva UZB 63 997 ↑5 ▲ 75 5 9 35.7% 0 Q1 Q2 R64 R64 1,789 124.4 -2.89 +0.76 0.914 42.9% -0.75 — -0.5 +43.0
64 Alycia Parks USA 64 985 ↑6 ▲ 36 19 23 45.2% 0 R64 R64 R64 R128 1,621 127.8 -0.07 -2.61 0.918 45.9% -0.56 103.0 +2.1 -13.9
65 Elisabetta Cocciaretto ITA 65 975 ↑6 ▲ 15 16 15 51.6% 1 R128 R128 R128 R128 1,734 137.9 +0.80 -0.72 0.994 54.8% +0.29 99.5 +0.3 -55.7
66 Anna Bondar HUN 66 974 ↓2 ▲ 9 24 25 49.0% 0 R64 R128 R128 R64 1,695 136.7 +1.44 -1.34 1.015 49.1% +0.05 100.7 -0.2 -36.8
67 Camila Osorio COL 67 963 ↓1 ▲ 15 16 19 45.7% 0 R128 R32 R64 R128 1,741 143.4 -1.25 +2.61 1.024 48.2% +0.04 96.0 -1.6 -23.8
68 Ashlyn Krueger USA 68 962 ↑5 ▼ 7 14 15 48.3% 0 R64 R128 R16 R128 1,799 137.2 +0.40 -0.31 0.995 47.0% -0.03 103.4 -0.6 -5.0
69 Kamilla Rakhimova UZB 69 959 ↑7 ▲ 22 15 17 46.9% 0 R128 R64 R64 R32 1,755 141.5 -1.32 +1.87 0.989 46.8% -0.09 104.1 -1.4 +24.4
70 Caty Mcnally USA 70 958 ↑2 ▲ 13 24 22 52.2% 0 R64 R64 R64 R64 1,837 141.7 -0.96 +1.84 1.006 52.3% +0.23 101.1 -2.0 -8.5
71 Tatjana Maria GER 71 945 ↑13 ▼ 29 18 25 41.9% 0 R128 R128 R64 R64 1,782 130.5 +0.69 -0.26 1.007 44.6% -0.25 96.5 -0.0 -7.5
72 Viktorija Golubic SUI 72 938 ↓5 ▲ 9 14 13 51.9% 0 R128 R32 R64 R128 1,774 135.9 -1.73 +2.03 1.005 50.0% +0.22 99.9 +0.3 -4.8
73 Anna Blinkova RUS 73 921 ↑16 ▼ 11 8 19 29.6% 0 R128 R128 R64 R128 1,733 122.3 -3.58 +0.24 0.889 36.9% -0.98 94.7 +0.0 +9.1
74 Alina Korneeva RUS 74 913 ↓5 ▲ 138 10 7 58.8% 0 Q1 R64 R128 R128 1,795 139.4 -0.84 +5.08 1.148 58.3% +1.00 — -0.5 +32.9
75 Sinja Kraus AUT 75 910 ↑20 ▲ 31 5 13 27.8% 0 Q1 R128 R128 R128 1,748 123.9 -2.20 -1.28 0.905 30.0% -1.33 — -0.8 +23.9
76 Kaitlin Quevedo ESP 76 908 ↑2 ▲ 53 9 7 56.2% 1 Q1 R64 Q2 R128 1,719 124.5 +0.76 +0.14 1.052 52.9% +0.12 — +0.3 +36.5
77 Magda Linette POL 77 907 ↑3 ▼ 24 19 20 48.7% 0 R32 R32 R128 R128 1,693 134.5 -0.38 -1.73 0.906 44.2% -0.27 107.1 -0.3 -90.1
78 Petra Marcinko CRO 78 905 ↑3 ▼ 1 13 15 46.4% 1 R64 R128 R128 R128 1,648 120.7 -1.58 +0.12 0.981 47.7% -0.41 103.7 +0.5 -45.1
79 Yulia Putintseva KAZ 79 904 ↑3 ▲ 15 15 17 46.9% 0 R16 R64 R128 R64 1,786 139.3 -1.63 +1.13 0.973 48.1% -0.19 98.6 -1.5 +30.6
80 Panna Udvardy HUN 80 899 ↓1 ▲ 9 18 20 47.4% 0 R128 R128 R128 R128 1,669 126.1 +0.15 -3.06 0.914 46.7% -0.51 107.2 -0.1 -38.6
81 Shuai Zhang CHN 81 895 ↓24 ▼ 8 11 20 35.5% 0 R128 R128 R64 R128 1,686 130.0 -1.28 -1.93 0.888 38.6% -0.84 100.8 -0.3 -26.7
82 Daria Kasatkina AUS 82 884 ↑5 ▼ 34 11 20 35.5% 0 R128 R32 R32 R128 1,745 133.7 -4.05 +2.66 0.938 42.9% -0.51 88.8 -0.2 -26.6
83 Mananchaya Sawangkaew THA 83 868 ↑7 ▲ 114 3 6 33.3% 0 R128 — R32 R64 1,700 120.7 -0.84 +0.15 0.914 35.0% -0.80 — +0.1 -27.1
84 Hanne Vandewinkel BEL 84 866 ↑2 ▲ 41 2 7 22.2% 0 Q1 R128 R128 R128 1,639 109.9 -2.26 -1.23 0.796 28.6% -1.45 — -0.5 +24.4
85 Renata Zarazua MEX 85 862 ↑9 ▼ 1 9 18 33.3% 0 R128 R128 R128 R128 1,642 120.5 -2.96 -2.48 0.823 36.5% -1.19 — -0.4 -4.9
86 Taylah Preston AUS 86 858 ↑5 ▲ 75 10 6 62.5% 0 R64 Q1 Q1 R64 1,679 126.2 -1.63 +0.62 0.959 60.5% +0.16 104.2 -0.3 +39.1
87 Katerina Siniakova CZE 87 855 ↓32 ▼ 41 15 18 45.5% 0 R64 R64 R64 R64 1,809 144.5 +0.16 +1.56 1.021 50.0% -0.10 94.1 -1.1 -13.7
88 Katie Volynets USA 88 851 ↓14 ▲ 6 13 19 40.6% 0 R128 R64 Q3 R128 1,799 136.8 -0.79 +1.25 1.021 45.5% 0.00 94.0 -0.5 -11.4
89 Taylor Townsend USA 89 843 ↑3 ▲ 27 15 12 55.6% 0 R128 R128 R128 R16 1,893 145.9 +4.13 +1.47 1.100 55.7% +0.47 102.1 -1.8 +52.0
90 Darja Vidmanova CZE 90 838 ↓2 ▲ 52 6 11 35.3% 0 Q3 Q1 R128 R128 1,662 120.3 -0.71 -2.65 0.926 40.0% -0.57 97.3 +0.3 -37.1
91 Xiyu Wang CHN 91 835 ↓6 ▲ 93 7 6 53.9% 0 — R16 Q2 R128 1,761 140.0 +2.04 +3.01 1.126 50.0% +0.50 95.9 +0.1 +37.7
92 Maya Joint AUS 92 824 ↓17 ▼ 60 11 20 35.5% 0 R128 R128 R64 R64 1,722 132.5 -2.20 +1.08 0.950 41.6% -0.58 96.1 -0.1 +12.6
93 Antonia Ruzic CRO 93 823 ↓10 ▼ 22 12 19 38.7% 0 R128 R64 R64 R128 1,670 132.1 -4.23 -0.73 0.832 38.7% -0.77 101.6 -1.4 -34.8
94 Leolia Jeanjean FRA 94 816 ↑15 ▲ 9 4 8 33.3% 0 R128 R128 R64 R64 1,728 125.5 -1.79 -2.20 0.870 37.0% -0.89 99.9 +0.5 +37.7
95 Mccartney Kessler USA 95 805 ↓18 ▼ 59 14 18 43.8% 0 R64 R64 R64 R128 1,759 133.6 -0.75 -0.66 0.945 43.8% -0.41 102.2 -1.2 -23.1
96 Claire Liu USA 96 789 ↑1 ▲ 131 3 5 37.5% 0 Q2 R64 R32 Q1 1,712 125.9 -0.92 -1.49 0.911 40.0% -0.55 101.3 +0.1 +0.9
97 Julia Grabher AUT 97 760 ↑2 ▼ 5 3 8 27.3% 0 R64 R64 Q1 R128 1,690 116.4 -3.36 -2.67 0.750 27.3% -1.27 — -0.5 +6.6
98 Alina Charaeva RUS 98 759 ↑20 ▲ 65 9 8 52.9% 0 Q1 Q1 Q3 Q1 1,724 128.0 -1.75 +2.62 1.032 50.0% +0.07 106.9 -0.6 +30.6
99 Jessica Bouzas Maneiro ESP 99 750 ↓3 ▼ 59 14 22 38.9% 0 R128 R128 R32 R64 1,728 135.1 -1.98 +1.15 0.959 42.0% -0.48 96.9 -0.6 -9.9
100 Oksana Selekhmeteva ESP 100 743 ↑1 ▼ 2 7 11 38.9% 0 R32 R128 R64 R64 1,599 126.1 -2.40 -0.68 0.919 44.4% -0.56 — +0.0 -19.2
101 Solana Sierra ARG 101 730 ↓8 ▼ 37 12 16 42.9% 0 R128 R32 R64 R128 1,672 123.5 -2.52 -3.13 0.819 42.4% -0.85 105.9 -0.3 —
102 Polina Kudermetova UZB 102 730 ↑2 ▲ 48 5 9 35.7% 0 R64 Q3 R128 Q1 1,710 121.3 -2.61 -1.65 0.811 35.3% -0.97 102.8 -0.1 —
103 Dayana Yastremska UKR 103 727 ↑8 ▼ 76 14 22 38.9% 0 R128 R128 R64 R128 1,724 130.6 -1.92 -1.46 0.925 43.0% -0.62 98.6 +0.3 —
104 Francesca Jones GBR 104 726 ↑1 ▼ 35 5 13 27.8% 0 R128 R64 R128 R64 1,695 112.3 -3.92 -4.12 0.749 30.2% -1.51 — +0.7 —
105 Fiona Ferro FRA 105 722 ↑3 ▲ 264 2 5 28.6% 0 Q2 R128 Q1 Q1 1,660 124.6 -1.52 +2.96 1.019 41.2% -0.12 — -0.4 —
106 Lucrezia Stefanini ITA 106 717 ↑19 ▲ 33 2 6 25.0% 0 Q2 Q2 Q2 R64 1,690 119.6 -2.39 -0.98 0.835 18.8% -1.81 — -0.4 —
107 Emma Raducanu GBR 107 710 ↓7 ▼ 78 11 9 55.0% 0 R64 R128 — — 1,834 130.1 +1.04 +3.20 1.174 55.8% +0.40 94.6 +1.1 —
108 Ajla Tomljanovic AUS 108 707 ↓5 ▼ 32 12 13 48.0% 0 R64 R128 R128 — 1,715 134.5 -0.08 +1.11 1.055 50.0% +0.13 96.0 -0.1 —
109 Lisa Pigato ITA 109 706 ↑5 ▲ 82 0 1 0.0% 0 — Q2 Q1 Q1 1,568 100.8 -1.60 +2.44 0.950 33.3% -0.33 — +0.2 —
110 Simona Waltert SUI 110 705 ↓12 ▼ 24 4 12 25.0% 0 R128 R128 R128 R128 1,628 127.2 -2.04 -1.35 0.847 28.9% -1.21 100.4 -1.3 —
111 Anastasia Zakharova RUS 111 704 ↓1 ▼ 6 11 17 39.3% 0 R128 R128 R128 R128 1,701 130.6 -1.19 -2.75 0.859 38.5% -0.80 105.5 -1.4 —
112 Elvina Kalieva USA 112 697 ↑5 ▲ 95 4 10 28.6% 0 Q3 Q1 Q2 R128 1,641 114.1 -1.02 -3.16 0.852 30.3% -1.49 101.5 -0.3 —
113 Harriet Dart GBR 113 692 ↑3 ▲ 57 4 8 33.3% 0 Q2 Q2 R128 R64 1,654 120.1 -1.62 -0.22 0.879 37.5% -0.91 — +0.7 —
114 Mary Stoiana USA 114 666 ↑1 ▲ 108 2 6 25.0% 0 Q2 Q3 Q2 R128 1,685 115.8 -1.27 -1.47 0.900 36.8% -1.16 97.1 -0.6 —
115 Himeno Sakatsume JPN 115 665 ↑5 ▲ 25 2 5 28.6% 0 R128 Q3 Q1 R64 1,634 120.9 +0.88 -2.84 0.875 37.5% -0.94 — +0.1 —
116 Kristina Liutova RUS 116 643 ↑3 ▲ 365 5 1 83.3% 1 — — — R128 1,659 126.8 -0.61 +1.62 1.123 68.8% +0.75 — -0.1 —
117 Tatiana Prozorova RUS 117 634 ↑6 ▲ 57 4 2 66.7% 0 Q2 Q1 Q2 Q1 1,701 112.9 -0.92 +0.16 1.010 57.1% +0.36 — -0.1 —
118 Aliaksandra Sasnovich BLR 118 626 ↑3 ▼ 14 6 11 35.3% 0 R128 Q3 Q3 Q2 1,714 135.2 -1.09 +0.01 0.950 35.1% -0.54 — -1.8 —
119 Kayla Day USA 119 614 ↓7 ▲ 138 3 6 33.3% 0 — Q1 R128 Q1 1,623 130.6 -0.02 -0.30 0.945 40.9% -0.50 99.1 -0.5 —
120 Dominika Salkova CZE 120 614 ↑6 ▲ 24 4 4 50.0% 0 Q2 Q2 Q1 Q2 1,622 115.8 -1.97 +0.86 1.026 50.0% +0.13 — +0.2 —
121 Moyuka Uchijima JPN 121 603 ↓15 ▼ 34 2 11 15.4% 0 R64 R128 Q1 Q2 1,580 121.7 -2.89 -0.10 0.885 29.0% -1.42 — -0.1 —
122 Emerson Jones AUS 122 602 ↑12 ▲ 31 2 7 22.2% 0 R128 R128 Q2 Q1 1,581 125.4 -4.10 +0.47 0.775 25.0% -2.10 — -0.4 —
123 Veronika Podrez UKR 124 598 ↑3 ▲ 162 4 2 66.7% 0 — Q1 Q2 Q2 1,595 115.5 -1.46 +2.85 1.039 58.3% +0.42 — -0.3 —
124 Sofia Kenin USA 125 592 ↓18 ▼ 97 6 19 24.0% 0 R128 R128 R64 R64 1,636 125.9 +0.10 -3.27 0.888 33.3% -1.17 93.5 -1.4 —
125 Noma Noha Akugue GER 126 591 ↑4 ▲ 145 1 2 33.3% 0 — Q2 Q2 Q1 1,553 104.6 -2.03 -0.18 0.875 37.5% -0.87 — +0.2 —
126 Katarzyna Kawa POL 127 586 ↑6 ▲ 8 3 4 42.9% 0 Q1 Q2 Q3 Q1 1,619 115.2 -0.78 +1.37 1.157 50.0% +0.75 — -0.1 —
127 Laura Samson CZE 128 578 ↓15 ▲ 77 2 2 50.0% 0 Q1 Q1 Q1 Q1 1,668 106.0 -0.21 +0.35 1.051 50.0% +0.20 — +0.3 —
128 Marina Bassols Ribera ESP 129 572 ↑2 ▲ 109 1 3 25.0% 0 Q3 R64 Q3 Q2 1,603 120.6 +0.75 -1.06 0.899 40.0% -0.80 — +0.0 —
129 Maddison Inglis AUS 130 571 ↑10 ▲ 38 4 3 57.1% 0 R16 Q1 Q1 Q1 1,678 118.7 +1.00 -0.15 0.890 46.7% -0.66 101.4 -0.2 —
130 Darja Semenistaja LAT 131 563 ↓7 ▼ 35 3 7 30.0% 0 R128 Q2 R128 R128 1,527 107.6 -3.17 -0.59 0.874 34.8% -1.26 — -0.1 —
131 Sloane Stephens USA 133 551 ↑3 ▲ 263 9 13 40.9% 0 R128 R128 — R64 1,709 132.4 -1.40 -2.21 0.881 40.4% -1.00 103.1 -0.2 —
132 Rebecca Sramkova SVK 134 551 ↑18 ▼ 62 3 11 21.4% 0 R128 R128 Q2 Q1 1,688 121.2 -3.17 -2.93 0.826 31.3% -1.36 — +0.7 —
133 Lucia Bronzetti ITA 135 546 ↓3 ▼ 28 0 3 0.0% 0 Q3 R128 Q3 Q2 1,620 105.5 -0.36 -1.04 0.823 25.0% -1.63 — -0.4 —
134 Eva Lys GER 136 542 ↓34 ▼ 97 6 16 27.3% 0 R128 R64 R128 R64 1,674 111.9 -5.17 -0.66 0.797 32.7% -1.37 95.7 -0.7 —
135 Susan Bandecchi SUI 137 530 ↑4 ▲ 111 1 1 50.0% 0 — R64 Q1 Q3 1,581 105.8 -0.01 -3.28 0.897 40.0% -0.60 — +0.0 —
136 Julia Riera ARG 138 517 ↑9 ▲ 43 2 2 50.0% 0 Q2 Q3 Q2 Q1 1,554 104.4 +0.12 -0.40 0.995 50.0% -0.30 — +0.5 —
137 Leyre Romero Gormaz ESP 139 516 ↑7 ▲ 2 1 2 33.3% 0 Q1 Q3 Q1 Q1 1,627 110.7 -2.18 -1.88 0.990 50.0% +0.25 — -0.2 —
138 Carol Young Suh Lee USA 140 509 ↑8 ▲ 70 1 3 25.0% 0 Q3 Q1 Q1 R128 1,606 112.6 -0.43 -2.33 0.796 30.0% -1.00 — -0.2 —
139 Yue Yuan CHN 141 507 ↓6 ▼ 11 6 7 46.1% 0 R128 Q1 Q1 Q3 1,573 122.9 -1.02 -1.32 0.903 47.1% -0.47 100.1 -0.3 —
140 Polina Iatcenko RUS 142 504 ↑18 ▲ 17 1 1 50.0% 0 Q1 Q1 Q3 R64 1,611 116.4 -2.48 +1.36 0.678 40.0% -1.80 — -0.0 —
141 Andrea Lazaro Garcia ESP 143 500 ↓6 ▲ 40 0 1 0.0% 0 Q1 Q1 Q2 Q3 1,618 109.7 +1.11 +2.70 0.678 0.0% -3.50 — -0.1 —
142 Veronika Erjavec SLO 144 498 ↑9 ▼ 45 0 6 0.0% 0 R128 R128 R128 R128 1,554 106.6 -2.88 -2.08 0.698 14.3% -2.57 — -0.2 —
143 Elina Avanesyan ARM 145 498 ↑10 ▲ 4 6 4 60.0% 0 — — — Q1 1,621 111.9 -1.08 +2.65 1.152 52.4% +0.52 99.1 +0.2 —
144 Joanna Garland TPE 147 495 ↓4 ▼ 30 1 1 50.0% 0 Q1 Q1 Q2 Q3 1,633 113.2 -1.28 -0.80 0.966 40.0% +0.40 — +0.1 —
145 Guiomar Maristany Zuleta De Reales ESP 148 493 ↓3 ▲ 37 1 2 33.3% 0 R128 Q3 — Q2 1,665 112.4 -2.80 -2.95 0.975 33.3% -0.50 — +0.2 —
146 Teodora Kostovic SRB 149 493 ↓10 ▲ 28 3 3 50.0% 0 Q2 R128 R128 Q1 1,630 113.2 +0.88 +0.74 1.060 53.8% +0.46 — +0.7 —
147 Storm Hunter AUS 150 492 ↑32 ▲ 217 3 6 33.3% 0 R64 Q2 Q2 R128 1,683 126.5 -0.88 -0.22 0.871 35.0% -1.30 — -0.1 —
148 Tyra Caterina Grant ITA 151 491 ↑5 ▲ 85 3 3 50.0% 0 — — R64 Q2 1,569 119.1 +2.30 -0.73 1.076 50.0% +0.21 — +0.3 —
149 Dalma Galfi HUN 152 489 ↓2 ▼ 59 4 11 26.7% 0 R128 R128 Q1 Q1 1,627 124.3 -0.93 -2.90 0.886 34.3% -0.97 — -0.2 —
150 Robin Montgomery USA 153 485 ↑18 ▲ 127 5 6 45.5% 1 — Q2 R128 R128 1,730 120.9 +0.09 -1.03 0.981 43.5% -0.04 — -0.1 —
151 Marketa Vondrousova CZE 153 493 – ▼ 119 1 1 50.0% 0 — — — — 1,974 112.4 +1.43 -0.09 1.185 50.0% +0.83 — -0.1 —
152 Ekaterine Gorgodze GEO 154 482 ↓3 ▲ 15 0 1 0.0% 0 Q1 Q1 Q2 Q3 1,552 104.6 +0.52 +1.27 0.748 33.3% -2.00 — +0.1 —
153 Jazmin Ortenzi ARG 155 482 ↑3 ▲ 63 4 2 66.7% 0 Q2 Q2 Q1 Q1 1,527 118.0 -1.07 +2.25 1.069 64.3% +0.79 — +0.3 —
154 Ayla Aksu TUR 156 482 ↑54 ▲ 266 1 1 50.0% 0 — — — Q1 1,571 106.5 +0.51 -1.57 0.879 40.0% -1.20 — -0.0 —
155 Linda Fruhvirtova CZE 157 478 ↑24 ▼ 25 4 10 28.6% 0 R64 R128 Q1 Q2 1,562 119.2 -3.74 +0.30 0.936 37.5% -0.56 92.9 +0.1 —
156 Elsa Jacquemot FRA 158 478 ↑7 ▼ 100 5 16 23.8% 0 R64 R64 R128 R128 1,551 111.7 -3.52 -1.40 0.803 24.4% -1.91 100.6 0.0 —
157 Sofia Costoulas BEL 159 471 – ▼ 16 2 5 28.6% 0 Q1 Q3 Q1 Q2 1,516 114.3 -0.29 -0.23 0.979 38.9% -0.33 — +0.7 —
158 Emiliana Arango COL 160 470 ↓22 ▼ 110 8 18 30.8% 0 R128 R128 R128 R128 1,551 118.1 -3.60 -0.07 0.908 36.7% -1.00 98.1 +0.4 —
159 Tamara Zidansek SLO 161 464 ↓19 ▼ 10 4 4 50.0% 0 Q3 Q2 Q1 R128 1,659 113.8 -0.96 +1.21 1.064 47.4% 0.00 101.0 -0.4 —
160 Vendula Valdmannova CZE 162 464 ↓8 ▲ 159 1 2 33.3% 0 — — Q1 Q3 1,581 106.2 -3.02 -1.48 0.894 28.6% -1.43 — +0.2 —
161 Gabriela Knutson CZE 163 463 ↑1 ▲ 13 0 3 0.0% 0 Q1 Q1 Q1 R128 1,661 115.2 -1.49 -2.87 0.668 14.3% -3.29 — -0.1 —
162 Mai Hontama JPN 164 461 ↑13 ▲ 80 2 3 40.0% 0 Q2 Q2 Q2 Q2 1,566 112.5 -2.14 +0.91 1.013 45.5% -0.18 — -0.2 —
163 Anna Siskova CZE 165 458 ↑5 ▲ 95 0 1 0.0% 0 — Q1 Q1 Q2 1,501 100.6 +0.30 -1.59 1.021 0.0% -2.00 — +0.1 —
164 Bianca Andreescu CAN 168 449 ↑4 ▲ 60 2 8 20.0% 0 — Q2 R128 Q3 1,736 117.6 -2.19 -3.33 0.795 26.1% -1.65 97.4 -0.2 —
165 Alevtina Ibragimova RUS 169 448 ↓1 ▲ 145 1 2 33.3% 0 — — — Q2 1,589 115.6 +0.14 +0.13 0.989 42.9% +0.14 — +0.2 —
166 Sonay Kartal GBR 170 447 ↓41 ▼ 107 14 6 70.0% 0 R128 — — — 1,931 153.3 +3.77 +2.06 1.213 65.2% +1.06 106.0 -0.3 —
167 Rebeka Masarova SUI 171 444 ↓4 ▼ 56 5 6 45.5% 0 Q2 Q1 Q1 Q1 1,640 121.4 +1.00 -2.69 0.925 44.4% -0.52 — -0.5 —
168 Varvara Gracheva FRA 172 440 ↓10 ▼ 98 4 7 36.4% 0 R64 — — — 1,787 139.8 -2.13 +1.12 0.891 37.0% -1.30 — -0.7 —
169 Akasha Urhobo USA 173 438 ↑6 ▲ 164 1 2 33.3% 0 — R128 Q1 Q1 1,497 112.6 -1.62 -1.55 0.934 42.9% -1.00 — -0.0 —
170 Darya Astakhova RUS 174 436 ↑13 ▲ 230 1 1 50.0% 0 — — — Q1 1,555 110.2 +0.31 -0.29 0.948 50.0% -0.50 — -0.2 —
171 Sara Sorribes Tormo ESP 175 435 ↑19 ▲ 122 2 5 28.6% 0 — R128 R64 — 1,620 118.8 -2.28 +1.82 1.011 37.5% -0.62 — -0.1 —
172 Yeonwoo Ku KOR 177 428 ↓2 ▲ 11 1 1 50.0% 0 Q1 Q1 Q1 Q2 1,514 109.3 +0.43 -0.53 1.128 60.0% +1.00 — -0.1 —
173 Kayla Cross CAN 178 427 ↓12 ▲ 22 1 1 50.0% 0 Q1 Q1 Q1 Q1 1,442 98.8 -0.36 -0.51 0.914 50.0% -0.25 — 0.0 —
174 Jil Teichmann SUI 179 425 ↑5 ▼ 59 6 2 75.0% 0 — R16 Q2 — 1,705 124.4 -0.08 +2.01 1.042 70.6% +0.94 — +0.3 —
175 Mona Barthel GER 180 421 ↑6 ▲ 49 0 2 0.0% 0 — Q1 Q1 Q2 1,586 106.9 +0.20 -2.20 0.918 0.0% -2.00 — -0.2 —
176 Anastasia Gasanova RUS 182 418 ↑6 ▲ 31 1 1 50.0% 0 Q3 Q1 R64 Q1 1,566 101.7 -0.23 +0.37 0.924 50.0% +0.25 — +0.0 —
177 Ye-Xin Ma CHN 184 413 ↓23 ▲ 41 2 3 40.0% 0 — — — Q1 1,549 115.0 -1.94 -1.51 0.952 41.7% -0.67 — -0.1 —
178 Elena Pridankina RUS 186 408 ↑10 ▲ 4 1 3 25.0% 0 Q2 R128 Q3 Q3 1,618 121.7 -3.26 -2.35 0.804 25.0% -2.13 — +0.1 —
179 Despina Papamichail GRE 189 404 ↑3 ▼ 29 1 1 50.0% 0 Q2 Q2 Q1 Q2 1,497 99.2 -1.69 -1.35 1.060 60.0% +0.80 — +0.3 —
180 Laura Siegemund GER 190 402 ↓68 ▼ 143 8 12 40.0% 0 R64 R128 R128 — 1,748 131.9 +0.08 -0.54 0.964 42.9% -0.41 97.9 -0.3 —
181 Katie Swan GBR 191 401 ↑9 ▲ 78 1 1 50.0% 0 — — R64 Q2 1,592 108.0 +0.41 +0.60 1.025 50.0% -0.75 — -0.1 —
182 Varvara Lepchenko USA 192 401 ↓3 ▼ 46 2 4 33.3% 0 Q1 Q1 Q1 Q1 1,515 108.3 -0.32 -2.27 0.959 37.5% -0.44 — +0.5 —
183 Ella Seidel GER 193 397 ↓24 ▼ 115 2 14 12.5% 0 R128 R128 R128 R128 1,560 113.9 -3.26 -3.91 0.745 25.0% -2.03 — -0.0 —
184 Nao Hibino JPN 196 393 ↓39 ▲ 8 1 3 25.0% 0 Q1 Q1 Q2 Q3 1,580 112.1 -1.18 -1.19 0.805 22.2% -1.89 — +0.4 —
185 Lin Zhu CHN 198 391 ↑1 ▼ 34 1 1 50.0% 0 Q3 — Q3 Q1 1,647 109.1 -1.81 +0.58 1.140 60.0% -0.20 — +0.2 —
186 Lulu Sun NZL 199 390 ↓55 ▼ 114 0 5 0.0% 0 R128 Q3 Q2 — 1,626 108.0 +0.25 -3.45 0.805 9.1% -2.36 — -0.2 —
187 Zhuoxuan Bai CHN 200 388 ↑33 ▲ 173 1 2 33.3% 0 R64 — Q2 — 1,621 121.5 -1.80 -0.23 0.749 28.6% -2.28 — +0.0 —
188 Xiaodi You CHN 201 387 ↑2 ▲ 84 0 1 0.0% 0 — — — Q1 1,463 110.2 +1.72 -0.82 1.000 33.3% -0.33 — -0.0 —
189 Mia Pohankova SVK 202 384 ↓9 ▲ 162 3 2 60.0% 0 — — Q1 — 1,639 109.7 -0.24 -0.08 0.984 54.5% +0.18 — +0.2 —
190 Nadia Podoroska ARG 203 381 ↑1 ▲ 244 5 5 50.0% 0 — — R128 R64 1,677 122.0 -0.22 +0.20 0.990 52.0% -0.28 — -0.0 —
191 Lucie Havlickova CZE 204 378 ↓19 ▲ 77 1 3 25.0% 0 — Q1 Q1 R128 1,585 114.8 -0.71 -1.27 0.830 33.3% -1.11 — -0.2 —
192 Carole Monnet FRA 210 368 ↓8 ▼ 35 1 3 25.0% 0 Q1 Q2 Q1 Q1 1,512 97.0 -3.62 -0.62 0.703 22.2% -2.33 — -0.2 —
193 Victoria Jimenez Kasintseva AND 211 366 ↓35 ▼ 97 3 7 30.0% 0 Q2 Q1 R128 Q1 1,526 111.1 -4.60 -3.53 0.716 29.2% -1.67 — +0.2 —
194 Irene Burillo ESP 212 364 ↓3 ▲ 43 0 1 0.0% 0 — Q1 — — 1,502 93.4 +1.12 -1.30 0.754 0.0% -3.50 — +0.1 —
195 Iryna Shymanovich BLR 213 360 ↓22 ▼ 59 3 4 42.9% 0 Q2 Q1 R128 Q2 1,604 110.8 -1.74 -1.33 0.846 43.8% -0.75 — +0.1 —
196 Clara Burel FRA 214 358 ↑4 ▲ 247 2 2 50.0% 0 — R128 — Q2 1,744 116.2 -2.85 +1.04 1.037 44.4% -0.11 — +0.2 —
197 Caroline Dolehide USA 215 356 ↓8 ▼ 104 2 4 33.3% 0 — — Q1 Q1 1,611 119.3 -1.06 -1.74 0.910 35.7% -0.71 — -0.2 —
198 Han Shi CHN 217 355 ↑14 ▲ 222 1 2 33.3% 0 — — — — 1,618 130.7 +0.28 +0.52 0.950 37.5% -0.50 — -0.2 —
199 Alice Tubello FRA 218 354 ↑10 ▲ 217 0 1 0.0% 0 Q1 R128 Q1 Q1 1,473 95.3 -2.56 -0.68 0.630 0.0% -3.50 — 0.0 —
200 Linda Klimovicova POL 219 353 ↓13 ▼ 85 1 2 33.3% 0 R64 Q1 Q1 Q2 1,512 111.6 -0.14 -1.67 0.847 33.3% -1.83 — -0.2 —
201 Xinyu Gao CHN 220 351 ↑24 ▼ 11 1 2 33.3% 0 — — — — 1,541 115.1 +0.16 +1.41 0.863 33.3% -1.00 — -0.1 —
202 Hayu Kinoshita JPN 221 349 ↓5 ▲ 227 0 1 0.0% 0 — — Q2 Q1 1,451 93.4 -0.40 -3.22 0.859 0.0% -2.00 — +0.1 —
203 Harmony Tan FRA 223 344 ↑7 ▼ 7 0 1 0.0% 0 Q2 Q3 Q3 Q1 1,573 110.3 -1.42 +1.28 0.854 33.3% -2.67 — -0.1 —
204 Polona Hercog SLO 224 344 ↑13 ▲ 91 0 1 0.0% 0 — — Q1 Q1 1,578 98.5 -0.34 -1.25 0.381 — — — -0.2 —
205 Elizabeth Mandlik USA 225 343 ↓51 ▼ 43 0 4 0.0% 0 R128 R128 Q1 Q1 1,479 104.0 -3.08 -1.44 0.731 11.1% -2.89 — +0.5 —
206 Angela Fita Boluda ESP 226 342 – ▲ 37 0 1 0.0% 0 — — Q1 Q2 1,426 102.8 +1.65 -0.35 0.552 0.0% -3.00 — -0.1 —
207 Marina Stakusic CAN 227 341 ↓29 ▼ 100 1 3 25.0% 0 R128 — — — 1,683 128.9 -1.61 -2.53 0.937 40.0% -0.30 — +0.1 —
208 Katherine Sebov CAN 228 341 ↓5 ▲ 11 1 2 33.3% 0 — Q1 Q3 Q1 1,504 112.0 -1.88 -1.60 0.788 33.3% -1.33 — +0.1 —
209 Whitney Osuigwe USA 229 339 ↑12 ▼ 77 1 3 25.0% 0 Q3 Q1 Q1 Q1 1,531 111.3 -1.57 -2.79 0.809 30.0% -1.10 — +0.3 —
210 Suzan Lamens NED 230 338 ↓15 ▼ 135 2 5 28.6% 0 R128 Q3 Q2 Q2 1,584 112.6 -0.65 -0.85 0.996 38.9% -0.55 98.5 +0.1 —
211 Berfu Cengiz TUR 231 338 ↓6 ▲ 257 0 1 0.0% 0 — — — — 1,491 98.1 +0.70 -0.34 0.791 0.0% -2.00 — +0.2 —
212 Nuria Brancaccio ITA 232 335 ↓11 ▼ 67 0 1 0.0% 0 Q1 Q1 Q1 Q1 1,532 97.1 -0.83 +2.39 0.730 0.0% -3.50 — -0.1 —
213 Vivian Wolff USA 234 328 ↑11 ▲ 96 0 1 0.0% 0 — — — — 1,442 102.2 +0.28 -5.05 0.610 0.0% -3.00 — 0.0 —
214 Greet Minnen BEL 235 326 ↓18 ▼ 112 1 2 33.3% 0 Q3 Q3 Q2 Q1 1,639 110.8 -0.58 -2.40 0.695 33.3% -0.83 — -0.1 —
215 Alicia Dudeney GBR 236 324 ↑15 ▲ 206 0 3 0.0% 0 — — R128 — 1,488 96.8 -2.68 -3.60 0.659 0.0% -3.00 — +0.1 —
216 Maria Lourdes Carle ARG 238 315 ↓16 ▼ 80 1 2 33.3% 0 Q2 Q3 Q2 Q1 1,555 113.8 -1.34 -1.81 0.842 42.9% -1.00 — +0.1 —
217 Justina Mikulskyte LTU 239 315 ↑7 ▼ 22 0 1 0.0% 0 Q2 — Q2 — 1,435 102.2 +0.11 -1.86 0.668 0.0% -3.50 — -0.1 —
218 Hanyu Guo CHN 240 314 – ▼ 67 2 2 50.0% 0 Q1 R128 Q1 Q1 1,598 112.4 -0.49 +1.55 0.889 45.5% -0.82 — -0.2 —
219 Noemi Basiletti ITA 241 313 ↑2 ▲ 205 1 1 50.0% 0 — — — — 1,549 111.6 +1.76 +1.84 0.936 50.0% -1.00 — -0.1 —
220 Anna-Lena Friedsam GER 242 313 ↑18 ▼ 86 0 1 0.0% 0 Q1 Q3 Q1 — 1,571 108.4 +0.38 +2.52 0.771 33.3% -1.67 — -0.1 —
221 Laura Pigossi BRA 243 312 ↓16 ▼ 41 0 1 0.0% 0 Q1 Q1 Q1 Q1 1,411 91.0 +0.83 -2.91 0.818 33.3% -2.00 — +0.1 —
222 Kyoka Okamura JPN 244 307 ↑59 ▲ 66 0 1 0.0% 0 — — — — 1,619 109.2 -2.02 +2.06 0.809 0.0% -3.50 — -0.1 —
223 Anouk Koevermans NED 249 301 ↑6 ▼ 55 0 1 0.0% 0 Q2 Q1 Q1 R128 1,562 107.4 +1.17 -1.84 0.781 0.0% -3.50 — -0.1 —
224 Julieta Pareja USA 250 294 ↑15 ▲ 99 1 2 33.3% 0 — — — Q3 1,585 112.8 -3.47 -0.36 0.889 42.9% -0.71 — +0.2 —
225 Jennifer Ruggeri ITA 252 293 ↓17 ▲ 66 0 1 0.0% 0 — — — Q1 1,459 100.5 +0.53 -1.32 0.814 33.3% -2.00 — -0.0 —
226 Dayeon Back KOR 253 293 ↑8 ▲ 58 1 1 50.0% 0 — — — — 1,513 103.6 -1.40 -2.41 0.801 40.0% -0.60 — +0.1 —
227 Anastasia Tikhonova RUS 254 290 ↑2 ▼ 4 0 2 0.0% 0 — — — — 1,465 98.6 -1.72 -1.37 0.592 0.0% -4.50 — +0.1 —
228 Yasmine Kabbaj MAR 255 288 ↑9 ▲ 172 2 1 66.7% 0 — — — — 1,523 104.1 +0.06 +1.31 1.133 71.4% +0.86 — +0.4 —
229 Arantxa Rus NED 256 286 ↑2 ▼ 123 0 2 0.0% 0 Q1 Q1 Q1 R128 1,525 102.3 +0.10 -3.23 0.643 0.0% -3.50 — +0.1 —
230 Mei Yamaguchi JPN 257 285 ↑2 ▲ 25 0 1 0.0% 0 — — — — 1,485 96.5 -3.19 -0.73 0.760 0.0% -2.50 — +0.1 —
231 Lois Boisson FRA 258 284 ↑16 ▼ 223 3 10 23.1% 0 — R128 R128 R128 1,684 119.6 +0.34 -2.12 0.909 35.5% -0.97 94.6 -1.1 —
232 Caijsa Hennemann SWE 261 282 ↓23 ▲ 115 0 1 0.0% 0 — — — — 1,478 98.9 -4.40 -0.80 0.648 0.0% -3.50 — -0.1 —
233 Cadence Brace CAN 262 281 ↓13 ▼ 75 0 4 0.0% 0 Q1 Q1 Q1 — 1,488 102.4 -3.03 -3.50 0.697 20.0% -2.20 — -0.2 —
234 Federica Urgesi ITA 264 278 ↑3 ▲ 185 0 1 0.0% 0 — — — — 1,498 103.6 -0.40 -1.75 0.613 0.0% -5.00 — 0.0 —
235 Xinxin Yao CHN 270 266 ↑1 ▲ 198 0 1 0.0% 0 — — — — 1,489 108.0 +0.16 -1.84 1.011 33.3% 0.00 — -0.1 —
236 Martha Matoula GRE 273 261 ↑17 ▲ 122 0 1 0.0% 0 — — — — 1,487 97.6 -0.90 -0.15 0.935 0.0% -2.50 — +0.2 —
237 Elena Micic AUS 276 258 ↑2 ▲ 76 1 1 50.0% 0 Q2 — — — 1,470 108.0 -1.94 +1.84 0.909 50.0% -0.50 — +0.1 —
238 Mina Hodzic GER 277 257 ↑8 ▲ 169 0 1 0.0% 0 — — — — 1,453 107.7 -1.58 -1.87 0.934 33.3% -0.33 — +0.2 —
239 Reese Brantmeier USA 279 253 ↑13 ▲ 204 0 2 0.0% 0 — — — R128 1,570 98.7 -0.98 -3.30 0.848 0.0% -2.25 — +0.1 —
240 Vera Zvonareva RUS 286 247 ↑8 ▲ 71 1 2 33.3% 0 — — — — 1,648 127.3 +0.98 -0.31 0.887 28.6% -1.00 — +0.0 —
241 Viktoria Morvayova SVK 288 247 ↑8 ▲ 63 0 2 0.0% 0 — — — — 1,482 109.5 -0.89 -1.75 0.744 0.0% -2.50 — -0.0 —
242 Lisa Zaar SWE 293 244 ↑5 ▲ 135 0 1 0.0% 0 — — — — 1,428 98.3 -0.49 -2.63 0.673 0.0% -4.00 — -0.1 —
243 Nastasja Schunk GER 295 242 ↑6 ▲ 1 0 1 0.0% 0 — — — — 1,478 104.6 +0.28 -3.58 0.934 33.3% -1.00 — -0.1 —
244 Priscilla Hon AUS 297 238 ↓65 ▼ 176 2 3 40.0% 0 R64 Q1 Q1 Q2 1,510 107.6 -4.21 -2.77 0.646 33.3% -2.17 — -0.1 —
245 Sohyun Park KOR 299 237 ↑5 ▼ 35 1 1 50.0% 0 — — — — 1,500 107.3 -2.02 +0.36 0.903 50.0% -0.75 — -0.1 —
246 Selena Janicijevic FRA 300 236 ↓31 ▼ 77 0 1 0.0% 0 Q1 Q1 — — 1,439 95.4 +0.64 -1.89 0.762 0.0% -3.00 — +0.1 —
247 Martina Trevisan ITA 301 234 ↑6 ▲ 189 0 1 0.0% 0 — Q2 — — 1,554 99.8 -1.99 +1.12 1.076 33.3% +0.33 — -0.0 —
248 Sada Nahimana BDI 305 231 ↑5 ▼ 86 1 1 50.0% 0 Q1 — — — 1,472 100.8 -1.12 -0.49 0.874 50.0% -0.50 — -0.1 —
249 Oceane Dodin FRA 307 229 ↓1 ▲ 159 1 2 33.3% 0 — Q2 Q3 — 1,522 96.6 -2.04 -2.08 0.683 33.3% -1.83 — +0.4 —
250 Mika Stojsavljevic GBR 308 229 ↓32 ▼ 29 0 2 0.0% 0 — — R128 — 1,491 97.0 -1.52 +0.57 0.632 0.0% -4.00 — -0.1 —
251 Jessika Ponchet FRA 310 225 ↑6 ▼ 144 0 1 0.0% 0 Q1 Q2 Q1 — 1,540 99.2 -1.34 +2.39 0.802 33.3% -0.67 — -0.2 —
252 Alisa Oktiabreva RUS 311 225 ↑125 ▼ 9 0 1 0.0% 0 — — — — 1,519 99.7 -2.14 -2.29 0.847 0.0% -3.00 — +0.2 —
253 Chloe Paquet FRA 313 221 ↑7 ▼ 73 0 3 0.0% 0 Q2 Q1 — — 1,513 103.2 -1.32 -2.44 0.623 14.3% -2.57 — -0.1 —
254 Tereza Martincova CZE 316 220 ↑8 ▲ 153 1 2 33.3% 0 — — — — 1,581 103.0 -1.68 -1.90 0.754 28.6% -1.57 — -0.4 —
255 Carolina Alves BRA 317 220 ↓12 ▼ 85 0 1 0.0% 0 — — — — 1,386 96.5 -0.21 -0.79 0.815 33.3% -0.67 — +0.1 —
256 Ipek Oz TUR 320 215 ↑45 ▲ 177 0 1 0.0% 0 — — — — 1,442 107.6 +1.07 -4.03 1.012 0.0% -1.00 — -0.1 —
257 Elena Ruxandra Bertea ROU 321 214 ↓49 ▼ 18 0 1 0.0% 0 — — — — 1,481 100.8 -2.22 -0.74 0.812 0.0% -2.50 — -0.0 —
258 Olga Danilovic SRB 331 208 ↓5 ▼ 263 4 3 57.1% 0 R64 — — — 1,798 118.8 -0.93 -0.43 0.953 52.9% -0.06 — -0.2 —
259 Tessa Johanna Brockmann GER 333 206 ↑8 ▼ 42 0 1 0.0% 0 — — — — 1,506 95.0 -3.66 -4.73 0.650 0.0% -3.50 — +0.1 —
260 En-Shuo Liang TPE 335 204 ↓23 ▲ 24 0 1 0.0% 0 — — — — 1,588 101.3 -0.20 +0.37 0.792 33.3% -1.00 — +0.0 —
261 Mariam Bolkvadze GEO 338 200 ↑32 ▼ 43 1 1 50.0% 0 — — R64 Q3 1,604 107.8 -2.54 +0.66 0.742 40.0% -1.80 — +0.0 —
262 Mimi Xu GBR 339 200 ↑1 ▼ 98 0 1 0.0% 0 Q1 — R128 — 1,443 93.8 +1.83 -4.80 0.829 33.3% -1.67 — 0.0 —
263 Hannah Klugman GBR 341 198 ↑2 ▲ 71 1 3 25.0% 0 — — R128 — 1,507 103.5 +0.37 -0.35 0.893 33.3% -1.00 — +0.0 —
264 Gabriela Ce BRA 342 197 ↓7 ▼ 20 0 1 0.0% 0 — — — — 1,362 101.0 -2.39 -5.72 0.821 33.3% -1.67 — -0.0 —
265 Aoi Ito JPN 344 194 ↑17 ▼ 177 0 6 0.0% 0 — Q2 R128 R128 1,585 103.9 -4.26 -3.38 0.691 7.7% -3.00 — +0.5 —
266 Miriam Bulgaru ROU 350 188 ↓6 ▼ 151 0 2 0.0% 0 Q1 Q1 — — 1,442 97.8 -1.32 -2.06 0.833 0.0% -3.00 — -0.1 —
267 Kaja Juvan SLO 355 184 ↓108 ▼ 258 2 3 40.0% 0 R128 Q2 — — 1,660 112.7 +0.29 -0.31 0.853 40.0% -1.40 — -0.5 —
268 Lina Gjorcheska MKD 361 180 ↓15 ▼ 155 0 1 0.0% 0 Q2 Q1 R128 Q1 1,433 110.1 +2.71 +2.02 0.443 0.0% -3.50 — -0.1 —
269 Valentina Steiner GER 363 180 ↑6 ▲ 129 0 1 0.0% 0 — — — — 1,521 100.5 -0.60 -0.99 0.938 33.3% -1.00 — +0.1 —
270 Ana Sofia Sanchez MEX 367 177 ↑22 ▼ 174 0 1 0.0% 0 Q1 Q1 — — 1,315 88.9 +1.47 +0.75 0.470 0.0% -5.00 — -0.1 —
271 Carlota Martinez Cirez ESP 373 173 ↑9 ▲ 18 0 1 0.0% 0 — — — — 1,451 99.7 +0.17 -0.85 0.851 0.0% -3.00 — -0.0 —
272 Miriana Tona ITA 374 171 ↓3 ▼ 14 1 1 50.0% 0 — — — — 1,478 96.9 -1.54 -1.34 0.769 40.0% -1.00 — +0.3 —
273 Ariana Arseneault CAN 379 168 ↑8 ▲ 97 0 1 0.0% 0 — — — — 1,506 99.6 +0.22 -2.68 0.770 0.0% -3.00 — -0.0 —
274 Tiantsoa Rakotomanga Rajaonah FRA 382 167 ↓15 ▼ 264 0 5 0.0% 0 R128 R128 Q2 — 1,515 107.5 -2.87 -0.51 0.670 9.1% -2.55 — -0.6 —
275 Yelyzaveta Kotliar UKR 385 166 ↓17 ▲ 114 1 1 50.0% 0 — — — — 1,489 106.6 -3.15 -1.74 0.926 50.0% -0.34 — +0.1 —
276 Heather Watson GBR 388 163 ↑6 ▼ 122 0 1 0.0% 0 — — Q3 Q3 1,577 108.4 -0.38 -2.59 0.695 0.0% -4.00 — +0.0 —
277 Viktoriya Tomova BUL 391 161 ↓52 ▼ 263 1 4 20.0% 0 Q3 Q2 Q1 — 1,569 108.0 -2.34 +0.59 0.871 27.3% -1.54 — -0.4 —
278 Lia Karatancheva BUL 393 161 ↓7 ▼ 99 0 1 0.0% 0 — — — — 1,435 104.2 -0.53 -1.08 0.743 33.3% -1.33 — +0.1 —
279 Julia Stusek GER 394 161 ↓18 ▲ 47 1 1 50.0% 0 — — — — 1,473 104.4 -0.21 -1.48 0.892 50.0% -0.50 — +0.0 —
280 Olivia Gadecki AUS 396 159 ↓121 ▼ 224 1 1 50.0% 0 Q2 — — — 1,557 120.2 +1.65 +2.77 0.921 60.0% -0.60 — -0.2 —
281 Astra Sharma AUS 401 155 ↓3 ▼ 244 0 1 0.0% 0 Q1 — — Q1 1,451 99.6 -0.15 -1.41 1.002 33.3% -0.67 — +0.2 —
282 Xinran Sun CHN 418 145 ↑164 ▶ 0 2 1 66.7% 0 — — — — 1,547 125.9 +0.87 -0.50 1.170 66.7% +0.83 — -0.0 —
283 Rebecca Marino CAN 422 150 ↓5 ▼ 221 0 1 0.0% 0 — — — Q2 1,603 104.4 +1.26 -1.57 0.905 0.0% -2.00 — -0.1 —
284 Beatriz Haddad Maia BRA 428 140 ↑11 ▼ 369 0 11 0.0% 0 R128 R128 R128 — 1,536 108.1 -5.47 -3.65 0.737 15.4% -2.46 93.5 +0.1 —
285 Carol Zhao CAN 432 141 ↓5 ▼ 107 0 1 0.0% 0 — Q1 Q1 — 1,332 86.4 -2.74 -1.44 0.779 33.3% -1.67 — -0.0 —
286 Jana Kovackova CZE 434 138 ↑17 ▲ 40 0 1 0.0% 0 — — — — 1,484 105.5 -0.80 -1.39 0.761 33.3% -1.67 — -0.1 —
287 Zarina Diyas KAZ 437 135 ↓9 ▼ 147 0 1 0.0% 0 R128 — — — 1,545 107.0 +0.18 -1.54 0.752 0.0% -3.00 — -0.1 —
288 Anastasia Pavlyuchenkova RUS 445 135 ↓1 ▼ 401 0 6 0.0% 0 R128 — — — 1,727 114.6 -1.44 -1.90 0.702 7.7% -2.46 — -0.3 —
289 Sapfo Sakellaridi GRE 448 130 ↑2 ▼ 45 0 1 0.0% 0 — — — — 1,377 99.6 -1.28 -0.60 0.964 33.3% -1.00 — +0.2 —
290 Irina-Camelia Begu ROU 453 127 ↑7 ▼ 306 1 3 25.0% 0 — Q2 R128 — 1,725 103.3 -3.29 -1.57 0.666 22.2% -2.11 — +0.4 —
291 Jule Niemeier GER 454 127 ↑7 ▼ 202 0 1 0.0% 0 — — — — 1,490 98.4 -0.85 -1.62 0.880 0.0% -3.00 — +0.0 —
292 Venus Williams USA 469 124 ↓2 ▲ 9 0 12 0.0% 0 R128 — — R128 1,470 102.2 -2.90 -4.28 0.793 14.3% -2.36 95.4 +0.3 —
293 Ayano Shimizu JPN 483 120 ↓7 ▼ 86 0 1 0.0% 0 — — — — 1,439 104.6 -0.78 -0.87 0.622 0.0% -2.50 — -0.1 —
294 Valentini Grammatikopoulou GRE 486 116 ↓8 ▼ 25 0 1 0.0% 0 — — — — 1,416 103.0 -3.51 +0.26 0.916 0.0% -1.50 — +0.0 —
295 Ilinca Amariei ROU 499 106 ↓2 ▼ 17 0 1 0.0% 0 — — — — 1,454 100.0 -3.21 -3.77 0.913 0.0% -1.50 — +0.1 —
296 Nauhany Vitoria Leme Da Silva BRA — — – — 1 1 50.0% 0 — — — — 1,490 91.0 -1.38 +0.47 0.825 40.0% -1.40 — +0.3 —
297 Ana Bogdan ROU — — – — 0 1 0.0% 0 — — — — 1,591 98.6 +1.18 +0.78 0.782 0.0% -3.50 — -0.0 —
298 Brenda Fruhvirtova CZE — — – — 0 1 0.0% 0 — — — — 1,610 96.2 +0.17 -1.87 0.678 0.0% -5.00 — +0.1 —
299 Danka Kovinic MNE — — – — 0 2 0.0% 0 — R128 — — 1,542 98.8 -1.00 -0.83 0.671 0.0% -3.75 — 0.0 —
300 Diae El Jardi MAR — — – — 0 1 0.0% 0 — — — — 1,455 97.8 -0.78 -0.14 0.727 0.0% -3.00 — +0.0 —
301 Jennifer Brady USA — — – — 0 3 0.0% 0 — — — — 1,753 99.9 -0.79 -5.07 0.804 14.3% -2.00 — +0.2 —
302 Kristina Mladenovic FRA — — – — 0 1 0.0% 0 Q1 Q1 — Q1 1,374 98.9 -2.14 -0.55 0.979 33.3% -0.33 — +0.1 —
303 Ksenia Efremova FRA — — – — 0 1 0.0% 0 Q1 R128 — — 1,455 99.6 +1.10 +2.11 0.579 0.0% -4.00 — -0.1 —
304 Marianne Argyrokastriti GRE — — – — 0 1 0.0% 0 — — — — 1,489 96.9 -2.87 +1.16 0.491 0.0% -5.00 — +0.0 —
305 Maria Torres Murcia COL — — – — 0 1 0.0% 0 — — — — 1,362 100.6 -3.24 -0.65 0.791 33.3% -2.00 — +0.0 —
306 Monique Barry NZL — — – — 0 1 0.0% 0 — — — — 1,487 99.8 -5.84 -3.79 0.557 0.0% -4.50 — -0.1 —
307 Serena Williams USA — — – — 0 1 0.0% 0 — — R128 — 1,899 96.8 +1.05 -3.04 0.931 33.3% -1.67 — +0.1 —
308 Thea Frodin USA — — – — 0 1 0.0% 0 — — — R128 1,492 115.4 -0.73 +5.40 0.569 0.0% -3.50 — -0.1 —
309 Valentina Mediorreal Arias COL — — – — 0 1 0.0% 0 — — — — 1,415 93.9 -1.59 -0.33 0.574 0.0% -4.50 — +0.1 —
310 Victoria Luiza Barros BRA — — – — 0 1 0.0% 0 — — — — 1,469 97.4 -0.70 +0.45 0.733 0.0% -3.00 — +0.1 —
311 Yihan Qu CHN — — – — 0 1 0.0% 0 — — — — 1,443 105.5 -0.84 -2.93 0.840 33.3% -1.67 — +0.1 —
312 Yu Jun Lin CHN — — – — 0 1 0.0% 0 — — — — 1,487 104.5 -2.17 -2.51 0.630 0.0% -4.50 — +0.0 —
313 Yushan Shao CHN — — – — 0 1 0.0% 0 — — — — 1,457 97.7 -4.90 -2.63 0.471 0.0% -5.00 — +0.0 —

How to read these columns

Rank
For the current season, this is the latest ranking. For past seasons, this is the year-end ranking.
Points
Official ranking points from the selected ranking snapshot.
Wk +/−
Ranking change since the previous ranking snapshot.
YTD Δ
Ranking change since the start of the season.
Win %
Wins divided by total completed main-draw matches.
Elo
For the current season, this is the latest TennisDB Elo rating. For past seasons, this is year-end Elo.
P+
Scoreline performance adjusted for opponent strength on a 0-200 scale. 100 is average; a 10-point difference equals five expected-win percentage points.
Serve+
Estimated percentage points won on serve above or below expectation after opponent and era adjustment. Historical values are best-effort where point denominators are unavailable.
Return+
Estimated percentage points won on return above or below expectation after opponent and era adjustment. Historical values are best-effort where point denominators are unavailable.
PD
Return points won divided by opponents' return points won. 1.000 is even; above 1.000 is better.
Set Win %
Sets won divided by total completed sets in eligible scored matches.
Set Margin
Average per-set game margin from the player's perspective. Positive values mean winning sets by more games on average.
Pressure+
Opponent-adjusted deciding-set and tiebreak performance on a 0-200 scale; 100 is the pre-match surface-Elo expectation. Small samples are shrunk, at least three of each are required, and a deciding-set tiebreak counts only once.
Schedule
Expected wins added by opponent quality versus a typical player-season schedule. Positive means an easier schedule; negative means a tougher one. Career values are per 100 matches.
Form Delta
Result points above or below pre-match Elo expectation over the last 10 matches, with the most recent five weighted more heavily. Ten points equal five win-percentage points above or below expectation.

View the full tennis statistics glossary →

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