Rankings as of: Sep 28, 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 September 28, 2026, with 9,901 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 9,901 – ▲ 4 49 14 77.8% 3 W R64 R32 W 2,160 172.8 +7.75 +1.48 1.215 71.6% +1.41 101.5 -1.7 +17.0
2 Aryna Sabalenka BLR 2 7,810 – ▼ 1 47 10 82.5% 3 F QF R16 F 2,158 169.9 +7.85 +3.49 1.331 80.2% +1.80 95.2 -0.4 -22.3
3 Jessica Pegula USA 3 7,265 – ▲ 3 50 13 79.4% 2 SF R128 QF SF 2,140 168.3 +6.14 +3.69 1.237 70.0% +1.27 110.3 -0.9 +20.5
4 Coco Gauff USA 4 7,244 – ▼ 1 45 14 76.3% 1 QF R32 SF SF 2,136 166.4 +3.14 +5.72 1.177 68.1% +1.31 106.5 +0.1 -2.3
5 Mirra Andreeva RUS 5 5,841 – ▲ 3 49 15 76.6% 3 R16 W R64 QF 2,050 167.4 +5.07 +5.35 1.293 71.1% +1.70 103.8 +1.4 +5.7
6 Linda Noskova CZE 6 5,328 – ▲ 7 36 15 70.6% 2 R32 R128 W QF 2,046 157.0 +6.20 +0.39 1.163 63.2% +1.09 103.7 +0.0 -0.2
7 Elina Svitolina UKR 7 4,809 – ▲ 5 46 14 76.7% 2 SF QF R128 R32 2,084 166.9 +3.41 +5.16 1.202 68.6% +1.43 109.7 -0.3 +5.7
8 Karolina Muchova CZE 8 4,683 – ▲ 11 39 11 78.0% 2 R16 R32 F R32 2,089 162.2 +5.95 +1.99 1.221 69.6% +1.09 114.9 -1.2 -10.1
9 Iga Swiatek POL 9 4,119 – ▼ 7 36 12 75.0% 1 QF R16 R32 R16 2,131 167.6 +5.59 +7.38 1.362 70.9% +1.94 94.3 +0.8 +0.9
10 Marta Kostyuk UKR 10 4,040 – ▲ 10 36 10 78.3% 2 R128 SF SF R16 2,056 166.0 +4.37 +5.61 1.235 71.2% +1.69 103.5 -2.5 -31.2
11 Amanda Anisimova USA 11 3,363 – ▼ 7 23 12 65.7% 0 QF R32 R32 R32 2,011 157.7 +4.46 +4.24 1.250 60.8% +1.05 96.9 +1.2 -3.8
12 Belinda Bencic SUI 12 2,925 – ▼ 2 22 13 62.9% 0 R64 R16 R16 R128 1,956 156.1 +4.56 +3.77 1.244 65.8% +1.13 94.7 +1.1 -31.6
13 Iva Jovic USA 13 2,841 – ▲ 17 40 18 69.0% 1 QF R32 R16 R16 1,976 157.5 +2.73 +3.39 1.158 66.2% +1.11 103.3 +0.8 +32.4
14 Diana Shnaider RUS 14 2,588 – ▲ 9 29 20 59.2% 0 R32 SF R64 R32 1,933 159.5 +2.38 +2.55 1.090 57.9% +0.73 101.3 -1.4 +4.1
15 Victoria Mboko CAN 15 2,521 – ▲ 2 23 9 71.9% 0 R16 R32 — — 1,981 164.0 +3.47 +2.52 1.128 65.8% +1.03 110.8 +0.6 —
16 Sorana Cirstea ROU 16 2,464 – ▲ 25 35 15 70.0% 1 R64 QF R32 R16 1,987 161.2 +3.77 +3.05 1.167 68.8% +1.33 105.7 -0.9 -2.1
17 Naomi Osaka JPN 17 2,296 – ▼ 1 29 12 70.7% 0 R32 R16 QF R16 2,050 159.6 +5.27 +1.03 1.155 66.3% +1.11 109.2 -0.9 +4.7
18 Alexandra Eala PHI 18 2,276 – ▲ 31 32 21 60.4% 1 R128 R128 R16 R32 1,946 153.9 +0.13 +2.65 1.037 57.7% +0.46 104.7 -0.9 -21.5
19 Elise Mertens BEL 19 2,165 – ▲ 2 30 18 62.5% 0 R16 R64 QF R32 1,930 149.2 +2.95 +2.45 1.121 59.3% +0.78 103.2 +1.6 +25.0
20 Jasmine Paolini ITA 20 2,122 – ▼ 13 16 14 53.3% 0 R32 R64 QF R32 1,871 138.6 -0.28 +0.77 1.016 50.0% +0.12 96.7 +2.5 -3.8
21 Maja Chwalinska POL 21 2,082 ↑4 ▲ 124 12 9 57.1% 0 Q3 F R128 R128 1,788 143.8 +0.02 +2.64 1.069 57.4% +0.55 100.2 -0.2 -22.8
22 Anna Kalinskaya RUS 22 2,043 ↓1 ▲ 11 27 19 58.7% 0 R32 QF R32 R16 1,914 153.5 +1.02 +1.67 1.031 56.0% +0.11 107.8 -0.6 -3.7
23 Madison Keys USA 23 2,029 ↓1 ▼ 14 31 14 68.9% 1 R16 R16 R16 R32 1,982 152.9 +5.16 +2.77 1.218 65.7% +1.21 93.5 +1.1 -25.3
24 Emma Navarro USA 24 2,024 ↓1 ▼ 9 24 18 57.1% 1 R128 R64 R32 QF 1,911 139.7 +1.67 +0.49 1.041 55.2% +0.35 98.8 +0.2 +31.4
25 Anastasia Potapova AUT 25 1,926 ↓1 ▲ 29 26 18 59.1% 0 R32 R16 R128 R16 1,854 144.9 -1.72 +1.55 0.968 55.9% +0.35 105.9 +0.5 -11.9
26 Leylah Fernandez CAN 26 1,894 ↑5 ▼ 4 22 23 48.9% 1 R128 R128 R128 R32 1,845 147.1 +1.79 -0.50 1.029 49.0% +0.28 94.8 +1.4 +33.8
27 Marie Bouzkova CZE 27 1,873 ↓1 ▲ 18 30 19 61.2% 2 R64 R32 R16 R32 1,883 149.5 +2.49 +2.17 1.129 58.1% +0.66 104.2 +1.5 -10.3
28 Ekaterina Alexandrova RUS 28 1,811 ↓1 ▼ 17 20 23 46.5% 0 R128 R128 R32 R32 1,877 144.0 +1.76 -0.09 1.013 48.0% +0.01 93.5 +1.1 +29.6
29 Sara Bejlek CZE 29 1,710 ↓1 ▲ 59 22 18 55.0% 1 R128 R64 R128 R128 1,842 147.3 -1.50 +3.04 1.008 53.5% +0.28 106.4 -0.2 +16.4
30 Ann Li USA 30 1,573 ↓1 ▲ 8 26 24 52.0% 0 R64 R64 R128 R32 1,825 145.3 +1.51 -0.37 1.010 50.0% +0.09 102.5 +1.4 +41.3
31 Diane Parry FRA 31 1,551 ↓1 ▲ 91 19 13 59.4% 1 Q1 R16 R64 R64 1,792 130.3 +1.64 -1.40 0.982 54.8% +0.12 108.5 +1.2 +18.6
32 Jelena Ostapenko LAT 32 1,481 – ▼ 8 23 20 53.5% 0 R64 R64 R32 R128 1,801 144.9 -0.49 +0.95 1.020 55.0% +0.28 98.1 +1.8 -33.3
33 Maria Sakkari GRE 33 1,462 – ▲ 19 21 19 52.5% 0 R64 R32 R32 R64 1,815 148.5 +2.36 +0.26 1.035 52.2% +0.23 96.8 +0.9 -7.6
34 Nikola Bartunkova CZE 34 1,352 – ▲ 92 24 13 64.9% 0 R32 R128 R32 R32 1,910 147.3 +2.37 +1.18 1.052 57.6% +0.50 103.6 -0.5 +70.9
35 Cristina Bucsa ESP 35 1,349 – ▲ 16 14 18 43.8% 1 R128 R128 — R32 1,740 137.2 -2.20 -0.39 0.918 44.6% -0.39 98.8 +1.1 +31.1
36 Peyton Stearns USA 36 1,316 – ▲ 31 23 19 54.8% 1 R32 R32 R128 R128 1,767 141.1 +0.85 +0.95 1.067 55.7% +0.40 98.5 +0.4 +4.3
37 Talia Gibson AUS 37 1,301 ↑26 ▲ 82 18 18 50.0% 0 R64 R128 R128 R128 1,709 142.4 +0.30 -0.55 0.964 49.4% -0.25 102.3 -0.8 -6.5
38 Xinyu Wang CHN 38 1,288 ↑2 ▲ 5 22 21 51.2% 0 R16 R64 R64 R64 1,751 138.1 +1.52 -1.37 0.992 50.5% +0.02 98.1 +1.2 +0.1
39 Liudmila Samsonova RUS 39 1,284 ↓2 ▼ 21 20 24 45.5% 0 R128 R128 R32 R128 1,830 149.1 +1.09 +0.07 1.012 50.5% +0.09 92.6 +0.4 +2.7
40 Donna Vekic CRO 40 1,278 ↓2 ▲ 30 13 15 46.4% 1 R128 R64 R128 R64 1,739 138.3 +1.14 -0.89 0.961 48.5% -0.13 98.6 +0.2 -47.4
41 Kimberly Birrell AUS 41 1,255 ↑19 ▲ 35 18 19 48.6% 1 R128 R64 R64 R64 1,771 137.0 -0.98 +0.41 0.969 48.4% -0.18 99.3 -0.7 +44.0
42 Hailey Baptiste USA 42 1,230 ↓3 ▲ 24 17 11 60.7% 0 R32 R64 — — 1,856 151.5 +3.78 -0.22 1.064 57.1% +0.44 104.5 +0.1 —
43 Barbora Krejcikova CZE 43 1,198 ↑1 ▲ 12 18 12 60.0% 1 R128 R128 R16 R128 1,874 137.9 +2.63 +1.53 1.138 64.1% +1.09 94.9 +0.3 -50.8
44 Clara Tauson DEN 44 1,184 ↓3 ▼ 30 16 22 42.1% 0 R32 R128 R128 R128 1,733 135.9 +0.11 -1.56 0.965 46.7% -0.11 93.5 +2.1 -34.0
45 Yuliia Starodubtseva UKR 45 1,165 ↓3 ▲ 65 16 17 48.5% 0 R128 R32 R128 R32 1,723 141.6 +1.05 +1.55 1.102 51.3% +0.11 95.8 +0.2 -8.3
46 Daria Snigur UKR 46 1,163 ↓3 ▲ 90 17 10 63.0% 0 Q3 R64 R32 R128 1,834 139.3 -0.30 +1.10 1.001 56.5% +0.34 109.5 -0.3 +19.4
47 Oleksandra Oliynykova UKR 47 1,126 – ▲ 43 18 17 51.4% 0 R128 R32 R128 R64 1,705 122.1 -3.61 +0.98 0.919 52.0% -0.32 101.6 +0.6 -39.3
48 Magdalena Frech POL 48 1,120 ↓3 ▲ 9 17 21 44.7% 0 R64 R64 R128 R128 1,745 139.5 +0.41 +1.20 1.053 47.2% -0.15 97.7 -0.1 +17.2
49 Janice Tjen INA 49 1,120 ↓3 ▲ 7 13 25 34.2% 0 R64 R128 R64 R128 1,690 136.1 +0.38 -3.81 0.874 37.9% -0.97 100.9 -0.8 +15.3
50 Anhelina Kalinina UKR 50 1,112 ↓2 ▲ 129 11 14 44.0% 0 R128 R128 R128 R128 1,729 131.7 -2.27 +1.79 1.007 48.2% +0.04 — +0.3 -65.8
51 Karolina Pliskova CZE 51 1,106 ↓2 ▲ 365 21 11 65.6% 0 R32 Q2 R64 R64 1,855 135.9 +1.09 -1.24 0.979 58.9% -0.01 108.7 +0.3 -12.8
52 Mayar Sherif EGY 52 1,105 ↓2 ▲ 57 9 6 60.0% 1 Q1 R64 Q1 R128 1,781 129.2 -0.38 -0.76 1.013 57.1% +0.43 101.6 -0.6 +17.9
53 Tamara Korpatsch GER 53 1,091 ↓2 ▲ 71 13 11 54.2% 1 Q3 R32 R128 R128 1,682 129.1 -1.98 +0.19 0.957 50.0% -0.25 102.9 +0.3 -12.3
54 Qinwen Zheng CHN 54 1,083 ↓2 ▼ 29 19 13 59.4% 0 — R128 R128 QF 1,966 147.7 +4.10 -2.09 1.025 52.4% +0.17 106.9 -0.9 +61.7
55 Katerina Siniakova CZE 55 1,075 ↓2 ▼ 9 15 17 46.9% 0 R64 R64 R64 R64 1,825 144.5 +0.13 +1.88 1.027 50.7% -0.01 95.1 -1.0 -15.5
56 Katie Boulter GBR 56 1,062 ↓2 ▲ 57 20 17 54.0% 1 R128 R64 R128 R64 1,775 140.1 -0.28 +0.12 0.973 50.6% +0.07 103.2 -1.2 -31.6
57 Shuai Zhang CHN 57 1,055 ↓2 ▲ 16 11 19 36.7% 0 R128 R128 R64 R128 1,698 130.8 -0.82 -1.95 0.899 39.7% -0.74 100.8 -0.3 -8.9
58 Zeynep Sonmez TUR 58 1,052 ↓2 ▲ 54 20 21 48.8% 0 R32 R128 R64 R128 1,754 135.5 -0.91 +0.88 1.006 45.7% -0.18 106.7 +0.3 -27.9
59 Paula Badosa ESP 59 1,052 ↓2 ▼ 33 19 19 50.0% 0 R64 — R128 R64 1,847 139.9 -0.27 +0.59 0.992 50.6% +0.01 94.4 -0.9 -15.5
60 Jaqueline Cristian ROU 60 1,051 ↓2 ▼ 23 15 16 48.4% 0 R128 R128 R128 — 1,820 144.6 +0.40 -1.40 0.932 47.3% -0.33 99.9 -0.8 —
61 Lilli Tagger AUT 61 1,045 ↓2 ▲ 94 11 12 47.8% 1 Q3 R128 R128 R64 1,721 129.4 +2.42 -1.65 1.038 51.9% -0.11 96.8 -0.2 +24.8
62 Elena-Gabriela Ruse ROU 62 1,033 ↑4 ▲ 17 17 20 46.0% 0 R32 R128 R128 R128 1,826 141.9 -1.52 +0.88 0.946 47.0% -0.28 101.5 -2.9 -0.7
63 Lanlana Tararudee THA 63 1,032 ↓1 ▲ 68 7 8 46.7% 0 R128 Q1 R64 R64 1,739 124.7 -0.36 -0.70 0.939 42.4% -0.39 106.9 +0.3 -23.8
64 Anna Bondar HUN 64 1,029 ↑5 ▲ 11 24 24 50.0% 0 R64 R128 R128 R64 1,737 137.9 +1.54 -1.12 1.024 50.0% +0.12 100.7 -0.5 +4.3
65 Tereza Valentova CZE 65 1,014 ↓4 ▼ 5 14 16 46.7% 0 R32 R128 R128 — 1,806 144.0 -0.05 +1.07 1.000 45.6% -0.09 99.6 -1.4 +4.5
66 Camila Osorio COL 66 993 ↓2 ▲ 16 16 18 47.1% 0 R128 R32 R64 R128 1,758 144.9 -0.91 +2.85 1.043 49.4% +0.13 96.0 -1.6 -27.1
67 Viktorija Golubic SUI 67 993 ↓2 ▲ 14 14 13 51.9% 0 R128 R32 R64 R128 1,793 135.8 -1.73 +2.08 1.005 50.0% +0.22 99.9 +0.3 -4.3
68 Maria Timofeeva UZB 68 989 ↑20 ▲ 70 5 9 35.7% 0 Q1 Q2 R64 R64 1,789 124.4 -2.84 +0.72 0.914 42.9% -0.75 — -0.5 +43.0
69 Alina Korneeva RUS 69 988 ↑13 ▲ 143 10 7 58.8% 0 Q1 R64 R128 R128 1,789 138.7 -0.86 +5.14 1.148 58.3% +1.00 — -0.5 +36.1
70 Alycia Parks USA 70 985 – ▲ 30 19 23 45.2% 0 R64 R64 R64 R128 1,624 128.6 -0.10 -2.64 0.918 45.9% -0.56 103.0 +2.1 -5.3
71 Elisabetta Cocciaretto ITA 71 985 ↓4 ▲ 9 16 15 51.6% 1 R128 R128 R128 R128 1,734 137.9 +0.82 -0.71 0.994 54.8% +0.29 99.5 +0.3 -55.7
72 Caty Mcnally USA 72 983 ↓4 ▲ 11 23 21 52.3% 0 R64 R64 R64 R64 1,812 139.5 -1.16 +1.90 1.006 52.4% +0.24 100.6 -1.8 -18.5
73 Ashlyn Krueger USA 73 945 ↓2 ▼ 12 12 14 46.1% 0 R64 R128 R16 R128 1,783 133.2 +0.64 -1.15 0.979 45.8% -0.17 102.0 -0.8 -27.5
74 Katie Volynets USA 74 935 ↑4 ▲ 20 12 18 40.0% 0 R128 R64 Q3 R128 1,814 135.3 -0.64 +1.11 1.019 45.1% -0.03 94.1 -1.0 +19.0
75 Maya Joint AUS 75 934 ↑24 ▼ 43 11 20 35.5% 0 R128 R128 R64 R64 1,727 132.1 -2.25 +1.10 0.950 41.6% -0.58 96.1 -0.0 +23.0
76 Kamilla Rakhimova UZB 76 929 ↑1 ▲ 15 15 17 46.9% 0 R128 R64 R64 R32 1,753 141.3 -1.29 +1.87 0.989 46.8% -0.09 104.1 -1.3 +38.1
77 Mccartney Kessler USA 77 925 ↓5 ▼ 41 14 18 43.8% 0 R64 R64 R64 R128 1,759 133.6 -0.78 -0.53 0.945 43.8% -0.41 102.2 -1.2 -23.1
78 Kaitlin Quevedo ESP 78 920 ↓5 ▲ 51 9 7 56.2% 1 Q1 R64 Q2 R128 1,719 124.5 +0.87 +0.16 1.052 52.9% +0.12 — +0.3 +36.5
79 Panna Udvardy HUN 79 919 ↓5 ▲ 10 18 20 47.4% 0 R128 R128 R128 R128 1,669 126.1 +0.18 -3.03 0.914 46.7% -0.51 107.2 -0.1 -38.6
80 Magda Linette POL 80 916 ↓5 ▼ 27 19 20 48.7% 0 R32 R32 R128 R128 1,707 135.0 -0.37 -1.75 0.906 44.2% -0.27 107.1 -0.2 -88.9
81 Petra Marcinko CRO 81 915 ↓5 ▼ 4 13 15 46.4% 1 R64 R128 R128 R128 1,648 120.7 -1.54 +0.15 0.981 47.7% -0.41 103.7 +0.5 -45.1
82 Yulia Putintseva KAZ 82 904 ↓3 ▲ 12 14 16 46.7% 0 R16 R64 R128 R64 1,737 137.7 -1.30 +1.10 0.982 48.6% -0.15 98.4 -1.5 -28.5
83 Antonia Ruzic CRO 83 894 ↓3 ▼ 12 12 19 38.7% 0 R128 R64 R64 R128 1,677 132.1 -4.26 -0.72 0.832 38.7% -0.77 101.6 -1.3 -19.8
84 Tatjana Maria GER 84 894 ↓3 ▼ 42 18 25 41.9% 0 R128 R128 R64 R64 1,782 130.5 +0.65 -0.23 1.007 44.6% -0.25 96.5 0.0 -7.5
85 Xiyu Wang CHN 85 889 ↓2 ▲ 99 6 5 54.5% 0 — R16 Q2 R128 1,769 138.1 +1.48 +3.07 1.082 47.6% +0.38 — -0.3 +33.6
86 Hanne Vandewinkel BEL 86 887 ↓2 ▲ 39 2 7 22.2% 0 Q1 R128 R128 R128 1,639 109.9 -2.22 -1.18 0.796 28.6% -1.45 — -0.5 +24.4
87 Daria Kasatkina AUS 87 883 ↓2 ▼ 39 11 19 36.7% 0 R128 R32 R32 R128 1,729 134.0 -3.28 +2.83 0.962 44.0% -0.39 88.8 -0.2 -43.0
88 Darja Vidmanova CZE 88 877 ↓2 ▲ 54 6 11 35.3% 0 Q3 Q1 R128 R128 1,662 120.3 -0.71 -2.63 0.926 40.0% -0.57 97.3 +0.3 -37.1
89 Anna Blinkova RUS 89 875 ↓2 ▼ 27 8 19 29.6% 0 R128 R128 R64 R128 1,738 122.3 -3.55 +0.29 0.889 36.9% -0.98 94.7 +0.1 +15.5
90 Mananchaya Sawangkaew THA 90 868 ↓1 ▲ 107 3 5 37.5% 0 R128 — R32 R64 1,699 117.6 -0.42 +0.01 0.926 38.9% -0.67 — -0.1 -22.0
91 Taylah Preston AUS 91 848 ↑3 ▲ 70 10 6 62.5% 0 R64 Q1 Q1 R64 1,685 126.3 -1.66 +0.64 0.959 60.5% +0.16 104.2 -0.3 +28.4
92 Taylor Townsend USA 92 843 ↓2 ▲ 24 15 12 55.6% 0 R128 R128 R128 R16 1,893 145.9 +4.10 +1.52 1.100 55.7% +0.47 102.1 -1.8 +52.0
93 Solana Sierra ARG 93 830 ↓2 ▼ 29 12 16 42.9% 0 R128 R32 R64 R128 1,672 123.5 -2.50 -3.11 0.819 42.4% -0.85 105.9 -0.3 -71.4
94 Renata Zarazua MEX 94 819 ↓2 ▼ 10 9 18 33.3% 0 R128 R128 R128 R128 1,658 120.5 -2.98 -2.45 0.823 36.5% -1.19 — -0.4 +0.9
95 Sinja Kraus AUT 95 817 – ▲ 11 5 13 27.8% 0 Q1 R128 R128 R128 1,745 123.6 -2.14 -1.22 0.905 30.0% -1.33 — -0.7 +14.7
96 Jessica Bouzas Maneiro ESP 96 809 ↓3 ▼ 56 14 22 38.9% 0 R128 R128 R32 R64 1,722 135.1 -2.00 +1.18 0.959 42.0% -0.48 96.9 -0.6 -4.4
97 Claire Liu USA 97 790 ↓1 ▲ 130 3 5 37.5% 0 Q2 R64 R32 Q1 1,720 123.9 -0.96 -1.46 0.911 40.0% -0.55 101.3 +0.1 -5.5
98 Simona Waltert SUI 98 790 ↓1 ▼ 12 4 12 25.0% 0 R128 R128 R128 R128 1,657 127.3 -1.95 -1.26 0.847 28.9% -1.21 100.4 -1.3 -17.2
99 Julia Grabher AUT 99 787 ↑12 ▼ 7 3 8 27.3% 0 R64 R64 Q1 R128 1,698 116.4 -3.35 -2.68 0.750 27.3% -1.27 — -0.5 +32.1
100 Emma Raducanu GBR 100 785 ↓2 ▼ 71 11 9 55.0% 0 R64 R128 — — 1,834 130.1 +1.06 +3.25 1.174 55.8% +0.40 94.6 +1.1 —
101 Oksana Selekhmeteva ESP 101 778 – ▼ 3 7 11 38.9% 0 R32 R128 R64 R64 1,618 126.1 -2.42 -0.63 0.919 44.4% -0.56 — +0.0 —
102 Eva Lys GER 102 747 ↓2 ▼ 63 6 16 27.3% 0 R128 R64 R128 R64 1,674 111.9 -5.20 -0.58 0.797 32.7% -1.37 95.7 -0.7 —
103 Ajla Tomljanovic AUS 103 742 ↓1 ▼ 27 12 13 48.0% 0 R64 R128 R128 — 1,715 134.5 -0.04 +1.19 1.055 50.0% +0.13 96.0 -0.1 —
104 Polina Kudermetova UZB 104 728 ↓1 ▲ 46 5 9 35.7% 0 R64 Q3 R128 Q1 1,703 120.6 -2.62 -1.55 0.811 35.3% -0.97 102.8 -0.1 —
105 Francesca Jones GBR 105 726 ↓1 ▼ 36 5 13 27.8% 0 R128 R64 R128 R64 1,699 112.3 -3.96 -4.10 0.749 30.2% -1.51 — +0.7 —
106 Moyuka Uchijima JPN 106 725 ↓1 ▼ 19 2 11 15.4% 0 R64 R128 Q1 Q2 1,589 121.5 -2.85 -0.03 0.885 29.0% -1.42 — -0.1 —
107 Sofia Kenin USA 107 711 ↓1 ▼ 79 6 19 24.0% 0 R128 R128 R64 R64 1,637 126.4 +0.03 -3.23 0.888 33.3% -1.17 93.5 -1.4 —
108 Fiona Ferro FRA 108 708 ↓1 ▲ 261 2 5 28.6% 0 Q2 R128 Q1 Q1 1,665 124.6 -1.44 +3.00 1.019 41.2% -0.12 — -0.4 —
109 Leolia Jeanjean FRA 109 706 ↓1 ▼ 6 4 8 33.3% 0 R128 R128 R64 R64 1,728 125.5 -1.84 -2.11 0.870 37.0% -0.89 99.9 +0.5 —
110 Anastasia Zakharova RUS 110 699 ↓1 ▼ 5 11 17 39.3% 0 R128 R128 R128 R128 1,698 130.5 -1.20 -2.69 0.859 38.5% -0.80 105.5 -1.3 —
111 Dayana Yastremska UKR 111 692 ↓1 ▼ 84 13 21 38.2% 0 R128 R128 R64 R128 1,730 129.3 -1.84 -1.32 0.934 43.2% -0.61 97.2 +0.3 —
112 Kayla Day USA 112 677 ↑6 ▲ 145 3 6 33.3% 0 — Q1 R128 Q1 1,614 131.4 +0.02 -0.22 0.945 40.9% -0.50 99.1 -0.5 —
113 Laura Samson CZE 113 676 ↓1 ▲ 92 2 2 50.0% 0 Q1 Q1 Q1 Q1 1,611 106.0 -0.08 +0.44 1.051 50.0% +0.20 — +0.3 —
114 Lisa Pigato ITA 114 675 ↓1 ▲ 77 0 1 0.0% 0 — Q2 Q1 Q1 1,575 100.8 -1.59 +2.43 0.950 33.3% -0.33 — +0.2 —
115 Mary Stoiana USA 115 666 ↓1 ▲ 107 2 6 25.0% 0 Q2 Q3 Q2 R128 1,679 116.4 -1.23 -1.48 0.900 36.8% -1.16 97.1 -0.6 —
116 Harriet Dart GBR 116 662 ↓1 ▲ 54 4 8 33.3% 0 Q2 Q2 R128 R64 1,645 119.6 -1.73 -0.25 0.879 37.5% -0.91 — +0.7 —
117 Elvina Kalieva USA 117 661 ↓1 ▲ 90 4 10 28.6% 0 Q3 Q1 Q2 R128 1,658 114.1 -1.01 -3.15 0.852 30.3% -1.49 101.5 -0.3 —
118 Alina Charaeva RUS 118 648 ↑3 ▲ 45 9 8 52.9% 0 Q1 Q1 Q3 Q1 1,751 128.0 -1.82 +2.60 1.032 50.0% +0.07 106.9 -0.6 —
119 Kristina Liutova RUS 119 643 ↓2 ▲ 362 5 1 83.3% 1 — — — R128 1,659 126.8 -0.66 +1.53 1.123 68.8% +0.75 — -0.1 —
120 Himeno Sakatsume JPN 120 634 ↓1 ▲ 20 2 5 28.6% 0 R128 Q3 Q1 R64 1,639 120.9 +0.97 -2.88 0.875 37.5% -0.94 — +0.1 —
121 Aliaksandra Sasnovich BLR 121 631 ↑11 ▼ 17 6 11 35.3% 0 R128 Q3 Q3 Q2 1,698 134.7 -1.03 +0.15 0.950 35.1% -0.54 — -1.8 —
122 Laura Siegemund GER 122 627 ↓2 ▼ 75 8 12 40.0% 0 R64 R128 R128 — 1,748 131.9 +0.13 -0.44 0.964 42.9% -0.41 97.9 -0.2 —
123 Tatiana Prozorova RUS 123 621 ↑57 ▲ 51 4 2 66.7% 0 Q2 Q1 Q2 Q1 1,682 113.8 -0.83 +0.20 1.010 57.1% +0.36 — -0.1 —
124 Darja Semenistaja LAT 124 619 ↓2 ▼ 28 3 7 30.0% 0 R128 Q2 R128 R128 1,543 107.6 -3.21 -0.59 0.874 34.8% -1.26 — -0.1 —
125 Lucrezia Stefanini ITA 125 617 ↓2 ▲ 14 2 6 25.0% 0 Q2 Q2 Q2 R64 1,677 119.6 -2.47 -0.88 0.835 18.8% -1.81 — -0.4 —
126 Dominika Salkova CZE 126 614 ↓2 ▲ 18 4 4 50.0% 0 Q2 Q2 Q1 Q2 1,567 115.8 -1.97 +0.86 1.026 50.0% +0.13 — +0.2 —
127 Veronika Podrez UKR 127 610 ↓2 ▲ 159 4 2 66.7% 0 — Q1 Q2 Q2 1,595 115.5 -1.43 +2.92 1.039 58.3% +0.42 — -0.3 —
128 Sonay Kartal GBR 129 597 ↓2 ▼ 66 9 6 60.0% 0 R128 — — — 1,845 145.4 +2.36 +0.92 1.153 57.1% +0.63 102.6 -0.2 —
129 Noma Noha Akugue GER 130 597 ↓2 ▲ 141 1 2 33.3% 0 — Q2 Q2 Q1 1,566 104.6 -1.95 -0.16 0.875 37.5% -0.87 — +0.2 —
130 Marina Bassols Ribera ESP 131 583 ↓2 ▲ 107 1 3 25.0% 0 Q3 R64 Q3 Q2 1,612 120.6 +0.80 -1.09 0.899 40.0% -0.80 — +0.0 —
131 Lucia Bronzetti ITA 132 576 ↓2 ▼ 25 0 3 0.0% 0 Q3 R128 Q3 Q2 1,617 105.5 -0.49 -1.07 0.823 25.0% -1.63 — -0.4 —
132 Katarzyna Kawa POL 133 576 ↓2 ▲ 2 3 4 42.9% 0 Q1 Q2 Q3 Q1 1,593 115.2 -0.79 +1.39 1.157 50.0% +0.75 — -0.1 —
133 Emerson Jones AUS 134 573 ↓1 ▲ 19 2 7 22.2% 0 R128 R128 Q2 Q1 1,564 124.8 -4.13 +0.51 0.775 25.0% -2.10 — -0.4 —
134 Yue Yuan CHN 135 570 ↓1 ▼ 5 6 7 46.1% 0 R128 Q1 Q1 Q3 1,580 123.1 -0.98 -1.27 0.903 47.1% -0.47 100.1 -0.3 —
135 Sloane Stephens USA 136 551 ↓1 ▲ 260 9 13 40.9% 0 R128 R128 — R64 1,709 132.4 -1.38 -2.15 0.881 40.4% -1.00 103.1 -0.2 —
136 Andrea Lazaro Garcia ESP 137 550 ↓1 ▲ 46 0 1 0.0% 0 Q1 Q1 Q2 Q3 1,608 109.7 +0.03 +2.02 0.678 0.0% -3.50 — -0.1 —
137 Emiliana Arango COL 138 541 ↓1 ▼ 88 8 18 30.8% 0 R128 R128 R128 R128 1,563 118.1 -3.57 -0.05 0.908 36.7% -1.00 98.1 +0.4 —
138 Teodora Kostovic SRB 139 540 ↑20 ▲ 38 3 3 50.0% 0 Q2 R128 R128 Q1 1,639 113.2 +0.90 +0.75 1.060 53.8% +0.46 — +0.7 —
139 Maddison Inglis AUS 140 536 ↓2 ▲ 28 4 3 57.1% 0 R16 Q1 Q1 Q1 1,663 118.0 +1.05 -0.12 0.890 46.7% -0.66 101.4 -0.2 —
140 Susan Bandecchi SUI 141 534 ↓2 ▲ 107 1 1 50.0% 0 — R64 Q1 Q3 1,582 105.8 +0.03 -2.92 0.897 40.0% -0.60 — +0.0 —
141 Tamara Zidansek SLO 142 532 ↓2 ▲ 9 4 4 50.0% 0 Q3 Q2 Q1 R128 1,638 113.8 -0.94 +1.23 1.064 47.4% 0.00 101.0 -0.4 —
142 Joanna Garland TPE 143 532 ↑25 ▼ 26 1 1 50.0% 0 Q1 Q1 Q2 Q3 1,633 113.2 -1.15 -0.65 0.966 40.0% +0.40 — +0.1 —
143 Lulu Sun NZL 144 528 ↓3 ▼ 59 0 5 0.0% 0 R128 Q3 Q2 — 1,626 108.0 +0.24 -3.37 0.805 9.1% -2.36 — -0.2 —
144 Guiomar Maristany Zuleta De Reales ESP 145 527 ↑25 ▲ 40 1 2 33.3% 0 R128 Q3 — Q2 1,662 112.4 -2.79 -2.95 0.975 33.3% -0.50 — +0.2 —
145 Leyre Romero Gormaz ESP 146 516 ↓2 ▼ 5 1 2 33.3% 0 Q1 Q3 Q1 Q1 1,569 110.7 -2.17 -1.88 0.990 50.0% +0.25 — -0.2 —
146 Julia Riera ARG 147 514 ↓5 ▲ 34 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 —
147 Carol Young Suh Lee USA 148 513 ↓5 ▲ 62 1 3 25.0% 0 Q3 Q1 Q1 R128 1,606 112.6 -0.53 -2.28 0.796 30.0% -1.00 — -0.2 —
148 Dalma Galfi HUN 150 504 ↓5 ▼ 57 4 11 26.7% 0 R128 R128 Q1 Q1 1,601 124.3 -0.83 -2.83 0.886 34.3% -0.97 — -0.2 —
149 Ekaterine Gorgodze GEO 151 500 ↑3 ▲ 18 0 1 0.0% 0 Q1 Q1 Q2 Q3 1,572 104.6 +0.59 +1.34 0.748 33.3% -2.00 — +0.1 —
150 Rebecca Sramkova SVK 152 499 ↓6 ▼ 80 3 11 21.4% 0 R128 R128 Q2 Q1 1,644 121.2 -3.31 -3.01 0.826 31.3% -1.36 — +0.7 —
151 Marketa Vondrousova CZE 153 493 – ▼ 119 1 1 50.0% 0 — — — — 1,974 112.4 +1.39 +0.09 1.185 50.0% +0.83 — -0.1 —
152 Veronika Erjavec SLO 153 498 ↓4 ▼ 54 0 6 0.0% 0 R128 R128 R128 R128 1,554 106.6 -2.90 -1.92 0.698 14.3% -2.57 — -0.2 —
153 Vendula Valdmannova CZE 154 498 ↓7 ▲ 167 1 2 33.3% 0 — — Q1 Q3 1,581 106.2 -3.02 -1.48 0.894 28.6% -1.43 — +0.2 —
154 Elina Avanesyan ARM 155 498 ↓7 ▼ 6 6 4 60.0% 0 — — — Q1 1,643 113.0 -1.06 +2.70 1.152 52.4% +0.52 99.1 +0.2 —
155 Tyra Caterina Grant ITA 156 490 ↓6 ▲ 80 3 3 50.0% 0 — — R64 Q2 1,595 118.7 +2.30 -0.64 1.076 50.0% +0.21 — +0.3 —
156 Nao Hibino JPN 157 487 ↑33 ▲ 47 1 3 25.0% 0 Q1 Q1 Q2 Q3 1,580 112.1 -1.21 -0.97 0.805 22.2% -1.89 — +0.4 —
157 Jazmin Ortenzi ARG 158 486 ↓7 ▲ 60 4 2 66.7% 0 Q2 Q2 Q1 Q1 1,530 118.0 -1.10 +2.30 1.069 64.3% +0.79 — +0.3 —
158 Sofia Costoulas BEL 159 483 ↓7 ▼ 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 —
159 Polina Iatcenko RUS 160 478 ↑18 ▼ 1 1 1 50.0% 0 Q1 Q1 Q3 R64 1,645 116.4 -2.41 +1.38 0.678 40.0% -1.80 — -0.0 —
160 Ye-Xin Ma CHN 161 474 ↑14 ▲ 64 2 3 40.0% 0 — — — Q1 1,549 115.0 -1.90 -1.51 0.952 41.7% -0.67 — -0.1 —
161 Varvara Gracheva FRA 162 472 ↓7 ▼ 88 4 7 36.4% 0 R64 — — — 1,787 139.8 -2.15 +1.13 0.891 37.0% -1.30 — -0.6 —
162 Gabriela Knutson CZE 164 470 ↓1 ▲ 12 0 3 0.0% 0 Q1 Q1 Q1 R128 1,660 115.2 -1.49 -2.83 0.668 14.3% -3.29 — -0.1 —
163 Elsa Jacquemot FRA 165 468 ↓9 ▼ 107 5 16 23.8% 0 R64 R64 R128 R128 1,570 111.7 -3.52 -1.33 0.803 24.4% -1.91 100.6 +0.0 —
164 Kayla Cross CAN 166 467 ↓9 ▲ 34 1 1 50.0% 0 Q1 Q1 Q1 Q1 1,442 98.8 -0.37 -0.50 0.914 50.0% -0.25 — +0.0 —
165 Rebeka Masarova SUI 167 462 ↑6 ▼ 52 5 6 45.5% 0 Q2 Q1 Q1 Q1 1,630 121.4 +1.09 -2.64 0.925 44.4% -0.52 — -0.5 —
166 Alevtina Ibragimova RUS 168 462 ↓2 ▲ 146 1 2 33.3% 0 — — — Q2 1,589 115.6 +0.15 +0.13 0.989 42.9% +0.14 — +0.2 —
167 Ella Seidel GER 169 460 ↓9 ▼ 91 2 14 12.5% 0 R128 R128 R128 R128 1,560 113.9 -3.31 -3.96 0.745 25.0% -2.03 — -0.0 —
168 Anna Siskova CZE 170 460 ↓9 ▲ 90 0 1 0.0% 0 — Q1 Q1 Q2 1,510 100.6 +0.30 -1.60 1.021 0.0% -2.00 — +0.1 —
169 Robin Montgomery USA 171 455 ↓9 ▲ 109 5 6 45.5% 1 — Q2 R128 R128 1,730 120.9 +0.04 -0.89 0.981 43.5% -0.04 — -0.1 —
170 Bianca Andreescu CAN 172 451 ↓8 ▲ 56 2 8 20.0% 0 — Q2 R128 Q3 1,698 117.6 -2.09 -3.23 0.795 26.1% -1.65 97.4 -0.2 —
171 Elizabeth Mandlik USA 174 450 ↓7 ▲ 8 0 4 0.0% 0 R128 R128 Q1 Q1 1,479 104.0 -3.02 -1.42 0.731 11.1% -2.89 — +0.5 —
172 Yeonwoo Ku KOR 175 448 ↑10 ▲ 13 1 1 50.0% 0 Q1 Q1 Q1 Q2 1,514 109.3 +0.43 -0.54 1.128 60.0% +1.00 — -0.1 —
173 Victoria Jimenez Kasintseva AND 176 447 ↓7 ▼ 62 3 7 30.0% 0 Q2 Q1 R128 Q1 1,526 111.1 -4.60 -3.46 0.716 29.2% -1.67 — +0.2 —
174 Mai Hontama JPN 177 440 ↓6 ▲ 67 2 3 40.0% 0 Q2 Q2 Q2 Q2 1,566 112.5 -2.12 +1.00 1.013 45.5% -0.18 — -0.2 —
175 Akasha Urhobo USA 179 434 ↓5 ▲ 158 1 2 33.3% 0 — R128 Q1 Q1 1,497 112.6 -1.63 -1.41 0.934 42.9% -1.00 — -0.0 —
176 Linda Fruhvirtova CZE 181 431 ↓4 ▼ 49 4 10 28.6% 0 R64 R128 Q1 Q2 1,562 119.2 -3.77 +0.32 0.936 37.5% -0.56 92.9 +0.1 —
177 Storm Hunter AUS 182 429 ↓3 ▲ 185 3 6 33.3% 0 R64 Q2 Q2 R128 1,683 126.5 -0.85 -0.10 0.871 35.0% -1.30 — -0.1 —
178 Jil Teichmann SUI 184 425 ↓3 ▼ 64 6 2 75.0% 0 — R16 Q2 — 1,708 124.4 -0.05 +2.07 1.042 70.6% +0.94 — +0.3 —
179 Lucie Havlickova CZE 185 425 ↓3 ▲ 96 1 3 25.0% 0 — Q1 Q1 R128 1,540 114.8 -0.65 -1.20 0.830 33.3% -1.11 — -0.2 —
180 Mona Barthel GER 186 421 ↓3 ▲ 43 0 2 0.0% 0 — Q1 Q1 Q2 1,602 106.9 +0.17 -2.01 0.918 0.0% -2.00 — -0.2 —
181 Darya Astakhova RUS 187 421 ↑16 ▲ 217 1 1 50.0% 0 — — — Q1 1,555 110.2 +0.32 -0.30 0.948 50.0% -0.50 — -0.2 —
182 Anastasia Gasanova RUS 188 420 ↑7 ▲ 25 1 1 50.0% 0 Q3 Q1 R64 Q1 1,566 101.7 -0.22 +0.36 0.924 50.0% +0.25 — +0.0 —
183 Varvara Lepchenko USA 189 420 ↓5 ▼ 43 2 4 33.3% 0 Q1 Q1 Q1 Q1 1,515 108.3 -0.33 -2.20 0.959 37.5% -0.44 — +0.5 —
184 Iryna Shymanovich BLR 191 417 ↓5 ▼ 37 3 4 42.9% 0 Q2 Q1 R128 Q2 1,604 110.8 -1.76 -1.31 0.846 43.8% -0.75 — +0.1 —
185 Despina Papamichail GRE 192 413 ↓5 ▼ 32 1 1 50.0% 0 Q2 Q2 Q1 Q2 1,508 99.2 -1.69 -1.36 1.060 60.0% +0.80 — +0.3 —
186 Mia Pohankova SVK 193 413 ↑19 ▲ 171 1 1 50.0% 0 — — Q1 — 1,602 98.1 -2.66 -0.27 0.906 50.0% -1.00 — -0.1 —
187 Sara Sorribes Tormo ESP 194 409 ↓6 ▲ 103 2 5 28.6% 0 — R128 R64 — 1,627 114.1 -2.24 +1.84 1.011 37.5% -0.62 — -0.1 —
188 Elena Pridankina RUS 196 408 – ▼ 6 1 3 25.0% 0 Q2 R128 Q3 Q3 1,618 121.7 -3.25 -2.35 0.804 25.0% -2.13 — +0.1 —
189 Marina Stakusic CAN 198 406 ↓6 ▼ 71 1 3 25.0% 0 R128 — — — 1,683 128.9 -1.58 -2.49 0.937 40.0% -0.30 — +0.1 —
190 Lin Zhu CHN 199 400 ↓5 ▼ 35 1 1 50.0% 0 Q3 — Q3 Q1 1,647 109.1 -1.82 +0.75 1.140 60.0% -0.20 — +0.2 —
191 Katie Swan GBR 200 398 ↑8 ▲ 69 1 1 50.0% 0 — — R64 Q2 1,592 108.0 +0.42 +0.60 1.025 50.0% -0.75 — -0.1 —
192 Carole Monnet FRA 202 388 ↑4 ▼ 27 1 3 25.0% 0 Q1 Q2 Q1 Q1 1,510 97.0 -3.61 -0.62 0.703 22.2% -2.33 — -0.2 —
193 Xiaodi You CHN 203 382 ↓4 ▲ 82 0 1 0.0% 0 — — — Q1 1,463 110.2 +1.73 -0.83 1.000 33.3% -0.33 — -0.0 —
194 Nadia Podoroska ARG 204 381 ↓4 ▲ 243 5 5 50.0% 0 — — R128 R64 1,677 122.0 -0.17 +0.20 0.990 52.0% -0.28 — -0.0 —
195 Linda Klimovicova POL 206 379 ↓4 ▼ 72 1 2 33.3% 0 R64 Q1 Q1 Q2 1,527 111.6 -0.21 -1.55 0.847 33.3% -1.83 — -0.2 —
196 Caroline Dolehide USA 207 378 ↓3 ▼ 96 2 4 33.3% 0 — — Q1 Q1 1,611 119.3 -1.01 -1.57 0.910 35.7% -0.71 — -0.2 —
197 Irene Burillo ESP 209 376 ↓4 ▲ 46 0 1 0.0% 0 — Q1 — — 1,493 93.4 +1.12 -1.30 0.754 0.0% -3.50 — +0.1 —
198 Ayla Aksu TUR 210 372 ↑6 ▲ 212 1 1 50.0% 0 — — — Q1 1,507 106.5 +0.48 -1.49 0.879 40.0% -1.20 — -0.0 —
199 Suzan Lamens NED 215 360 ↓1 ▼ 120 2 5 28.6% 0 R128 Q3 Q2 Q2 1,584 112.6 -0.62 -0.88 0.996 38.9% -0.55 98.5 +0.1 —
200 Hayu Kinoshita JPN 216 360 ↓1 ▲ 232 0 1 0.0% 0 — — Q2 Q1 1,451 93.4 -0.40 -3.23 0.859 0.0% -2.00 — +0.1 —
201 Greet Minnen BEL 217 359 – ▼ 94 1 2 33.3% 0 Q3 Q3 Q2 Q1 1,639 110.8 -0.79 -2.43 0.695 33.3% -0.83 — -0.1 —
202 Clara Burel FRA 218 358 – ▲ 243 2 2 50.0% 0 — R128 — Q2 1,697 116.2 -2.91 +1.07 1.037 44.4% -0.11 — +0.2 —
203 Nuria Brancaccio ITA 221 355 ↑8 ▼ 56 0 1 0.0% 0 Q1 Q1 Q1 Q1 1,534 97.1 -0.82 +2.38 0.730 0.0% -3.50 — -0.1 —
204 Maria Lourdes Carle ARG 222 354 ↓1 ▼ 64 1 2 33.3% 0 Q2 Q3 Q2 Q1 1,555 113.8 -1.22 -1.84 0.842 42.9% -1.00 — +0.1 —
205 Katherine Sebov CAN 223 353 ↓1 ▲ 16 1 2 33.3% 0 — Q1 Q3 Q1 1,504 112.0 -1.79 -1.29 0.788 33.3% -1.33 — +0.1 —
206 Berfu Cengiz TUR 225 352 ↑82 ▲ 263 0 1 0.0% 0 — — — — 1,491 98.1 +0.70 -0.34 0.791 0.0% -2.00 — +0.2 —
207 Angela Fita Boluda ESP 226 346 ↑2 ▲ 37 0 1 0.0% 0 — — Q1 Q2 1,426 102.8 +1.71 -0.28 0.552 0.0% -3.00 — -0.1 —
208 Laura Pigossi BRA 227 345 ↓3 ▼ 25 0 1 0.0% 0 Q1 Q1 Q1 Q1 1,422 91.0 +0.83 -2.92 0.818 33.3% -2.00 — +0.1 —
209 Alice Tubello FRA 228 343 ↑2 ▲ 207 0 1 0.0% 0 Q1 R128 Q1 Q1 1,473 95.3 -2.60 -0.33 0.630 0.0% -3.50 — 0.0 —
210 Harmony Tan FRA 230 336 ↑6 ▼ 14 0 1 0.0% 0 Q2 Q3 Q3 Q1 1,565 110.3 -1.18 +1.33 0.854 33.3% -2.67 — -0.1 —
211 Han Shi CHN 231 335 ↑11 ▲ 208 0 1 0.0% 0 — — — — 1,522 116.0 -3.30 +3.22 0.794 33.3% -1.00 — -0.1 —
212 Priscilla Hon AUS 232 332 ↓6 ▼ 111 2 3 40.0% 0 R64 Q1 Q1 Q2 1,510 107.6 -4.21 -2.64 0.646 33.3% -2.17 — -0.1 —
213 Zhuoxuan Bai CHN 233 331 ↑1 ▲ 140 1 2 33.3% 0 R64 — Q2 — 1,621 121.5 -1.75 -0.22 0.749 28.6% -2.28 — +0.0 —
214 Jennifer Ruggeri ITA 235 330 ↓4 ▲ 83 0 1 0.0% 0 — — — Q1 1,472 100.5 +0.65 -1.29 0.814 33.3% -2.00 — -0.0 —
215 Polona Hercog SLO 237 329 ↓4 ▲ 78 0 1 0.0% 0 — — Q1 Q1 1,561 98.5 -0.10 -1.20 0.381 — — — -0.2 —
216 Caijsa Hennemann SWE 238 327 ↑5 ▲ 138 0 1 0.0% 0 — — — — 1,478 98.9 -5.05 -0.88 0.648 0.0% -3.50 — -0.1 —
217 Hanyu Guo CHN 240 323 ↓5 ▼ 67 0 1 0.0% 0 Q1 R128 Q1 Q1 1,544 100.1 -1.33 -0.99 0.894 33.3% -0.33 — -0.1 —
218 Whitney Osuigwe USA 241 320 ↓4 ▼ 89 1 3 25.0% 0 Q3 Q1 Q1 Q1 1,531 111.3 -1.57 -2.80 0.809 30.0% -1.10 — +0.3 —
219 Noemi Basiletti ITA 243 318 ↑3 ▲ 203 1 1 50.0% 0 — — — — 1,567 111.6 +1.79 +1.94 0.936 50.0% -1.00 — -0.1 —
220 Xinyu Gao CHN 244 317 ↓5 ▼ 35 1 2 33.3% 0 — — — — 1,541 115.1 +0.26 +1.38 0.863 33.3% -1.00 — -0.1 —
221 Vivian Wolff USA 245 317 ↓5 ▲ 85 0 1 0.0% 0 — — — — 1,442 102.2 +0.29 -5.06 0.610 0.0% -3.00 — 0.0 —
222 Justina Mikulskyte LTU 246 315 ↓5 ▼ 29 0 1 0.0% 0 Q2 — Q2 — 1,435 102.2 +0.12 -1.88 0.668 0.0% -3.50 — -0.1 —
223 Kaja Juvan SLO 247 309 ↓3 ▼ 150 2 3 40.0% 0 R128 Q2 — — 1,660 112.7 +0.30 -0.31 0.853 40.0% -1.40 — -0.5 —
224 Cadence Brace CAN 249 307 ↓4 ▼ 62 0 4 0.0% 0 Q1 Q1 Q1 — 1,488 102.4 -2.97 -3.49 0.697 20.0% -2.20 — -0.2 —
225 Alicia Dudeney GBR 251 305 ↓4 ▲ 191 0 3 0.0% 0 — — R128 — 1,488 96.8 -2.63 -3.53 0.659 0.0% -3.00 — +0.1 —
226 Anouk Koevermans NED 255 301 ↓6 ▼ 61 0 1 0.0% 0 Q2 Q1 Q1 R128 1,538 107.4 +1.33 -2.00 0.781 0.0% -3.50 — -0.1 —
227 Anastasia Tikhonova RUS 256 301 ↓6 ▼ 6 0 2 0.0% 0 — — — — 1,465 98.6 -1.71 -1.37 0.592 0.0% -4.50 — +0.1 —
228 Arantxa Rus NED 258 295 ↓5 ▼ 125 0 2 0.0% 0 Q1 Q1 Q1 R128 1,525 102.3 +0.10 -3.24 0.643 0.0% -3.50 — +0.1 —
229 Mei Yamaguchi JPN 259 295 – ▲ 23 0 1 0.0% 0 — — — — 1,495 97.1 -3.18 -0.74 0.760 0.0% -2.50 — +0.1 —
230 Anna-Lena Friedsam GER 260 294 ↑6 ▼ 104 0 1 0.0% 0 Q1 Q3 Q1 — 1,579 108.4 +0.39 +2.51 0.771 33.3% -1.67 — -0.1 —
231 Dayeon Back KOR 261 293 ↑11 ▲ 50 1 1 50.0% 0 — — — — 1,513 103.6 -1.40 -2.42 0.801 40.0% -0.60 — +0.1 —
232 Yasmine Kabbaj MAR 264 288 ↓6 ▲ 163 2 1 66.7% 0 — — — — 1,536 104.1 +0.06 +1.30 1.133 71.4% +0.86 — +0.4 —
233 Julieta Pareja USA 265 284 ↓4 ▲ 84 1 2 33.3% 0 — — — Q3 1,585 112.8 -3.38 -0.26 0.889 42.9% -0.71 — +0.2 —
234 Federica Urgesi ITA 267 277 ↓4 ▲ 182 0 1 0.0% 0 — — — — 1,498 103.6 -0.39 -1.76 0.613 0.0% -5.00 — 0.0 —
235 Selena Janicijevic FRA 269 272 ↓4 ▼ 46 0 1 0.0% 0 Q1 Q1 — — 1,427 95.4 +0.64 -1.90 0.762 0.0% -3.00 — +0.1 —
236 Xinxin Yao CHN 271 269 ↑13 ▲ 197 0 1 0.0% 0 — — — — 1,489 108.0 +0.17 -1.85 1.011 33.3% 0.00 — -0.1 —
237 Elena Ruxandra Bertea ROU 272 267 ↑10 ▲ 31 0 1 0.0% 0 — — — — 1,481 100.8 -2.22 -0.74 0.812 0.0% -2.50 — -0.0 —
238 Lois Boisson FRA 274 264 ↓5 ▼ 239 3 10 23.1% 0 — R128 R128 R128 1,698 119.6 +0.35 -2.03 0.909 35.5% -0.97 94.6 -1.1 —
239 Olivia Gadecki AUS 275 264 ↓5 ▼ 103 1 1 50.0% 0 Q2 — — — 1,556 120.2 +1.73 +2.60 0.921 60.0% -0.60 — -0.2 —
240 Mika Stojsavljevic GBR 276 264 ↓5 ▲ 3 0 2 0.0% 0 — — R128 — 1,491 97.0 -1.43 +0.94 0.632 0.0% -4.00 — -0.1 —
241 Elena Micic AUS 278 262 ↑7 ▲ 74 1 1 50.0% 0 Q2 — — — 1,470 108.0 -2.14 +1.61 0.909 50.0% -0.50 — +0.1 —
242 Mina Hodzic GER 285 258 ↓7 ▲ 161 0 1 0.0% 0 — — — — 1,465 107.7 -1.57 -1.87 0.934 33.3% -0.33 — +0.2 —
243 Martha Matoula GRE 290 254 ↓7 ▲ 105 0 1 0.0% 0 — — — — 1,484 97.6 -0.90 -0.15 0.935 0.0% -2.50 — +0.2 —
244 Reese Brantmeier USA 292 252 ↑93 ▲ 191 0 2 0.0% 0 — — — R128 1,570 98.7 -0.97 -3.30 0.848 0.0% -2.25 — +0.1 —
245 Vera Zvonareva RUS 294 247 ↓4 ▲ 63 1 2 33.3% 0 — — — — 1,648 127.3 +0.99 -0.32 0.887 28.6% -1.00 — +0.0 —
246 Viktoria Morvayova SVK 296 247 – ▲ 55 0 2 0.0% 0 — — — — 1,498 109.5 -0.90 -1.67 0.744 0.0% -2.50 — -0.0 —
247 Lisa Zaar SWE 298 245 ↓4 ▲ 130 0 1 0.0% 0 — — — — 1,440 98.3 -0.48 -2.64 0.673 0.0% -4.00 — -0.1 —
248 Nastasja Schunk GER 301 242 ↓8 ▼ 5 0 1 0.0% 0 — — — — 1,478 104.6 +0.29 -3.59 0.934 33.3% -1.00 — -0.1 —
249 Kyoka Okamura JPN 303 239 ↑19 ▲ 7 0 1 0.0% 0 — — — — 1,629 108.4 -2.03 +2.05 0.809 0.0% -3.50 — -0.1 —
250 Sohyun Park KOR 304 237 ↑25 ▼ 40 1 1 50.0% 0 — — — — 1,500 107.3 -2.27 +0.42 0.903 50.0% -0.75 — -0.1 —
251 Carolina Alves BRA 305 237 ↓7 ▼ 73 0 1 0.0% 0 — — — — 1,386 96.5 -0.20 -0.80 0.815 33.3% -0.67 — +0.1 —
252 Oceane Dodin FRA 306 236 ↑6 ▲ 160 1 2 33.3% 0 — Q2 Q3 — 1,522 96.6 -2.00 -2.01 0.683 33.3% -1.83 — +0.4 —
253 Martina Trevisan ITA 307 234 ↓7 ▲ 183 0 1 0.0% 0 — Q2 — — 1,554 99.8 -1.97 +1.11 1.076 33.3% +0.33 — -0.0 —
254 Sada Nahimana BDI 310 233 ↓8 ▼ 91 1 1 50.0% 0 Q1 — — — 1,472 100.8 -1.11 -0.50 0.874 50.0% -0.50 — -0.1 —
255 En-Shuo Liang TPE 312 231 ↓8 ▲ 47 0 1 0.0% 0 — — — — 1,588 101.3 +0.26 +0.65 0.792 33.3% -1.00 — +0.0 —
256 Jessika Ponchet FRA 316 226 ↓8 ▼ 150 0 1 0.0% 0 Q1 Q2 Q1 — 1,540 99.2 -1.32 +2.38 0.802 33.3% -0.67 — -0.2 —
257 Chloe Paquet FRA 320 222 ↓7 ▼ 80 0 3 0.0% 0 Q2 Q1 — — 1,513 103.2 -1.23 -2.34 0.623 14.3% -2.57 — -0.1 —
258 Tereza Martincova CZE 324 220 ↓8 ▲ 145 1 2 33.3% 0 — — — — 1,581 103.0 -1.54 -1.84 0.754 28.6% -1.57 — -0.4 —
259 Olga Danilovic SRB 326 218 ↓8 ▼ 258 4 3 57.1% 0 R64 — — — 1,798 118.8 -0.94 -0.57 0.953 52.9% -0.06 — -0.2 —
260 Gabriela Ce BRA 335 210 ↓8 ▼ 13 0 1 0.0% 0 — — — — 1,362 101.0 -2.38 -5.73 0.821 33.3% -1.67 — -0.0 —
261 Viktoriya Tomova BUL 339 201 ↓5 ▼ 211 1 4 20.0% 0 Q3 Q2 Q1 — 1,569 108.0 -2.34 +0.59 0.871 27.3% -1.54 — -0.4 —
262 Mimi Xu GBR 340 200 ↓5 ▼ 99 0 1 0.0% 0 Q1 — R128 — 1,443 93.8 +1.98 -4.03 0.829 33.3% -1.67 — 0.0 —
263 Tessa Johanna Brockmann GER 341 199 ↓5 ▼ 50 0 1 0.0% 0 — — — — 1,478 95.0 -3.65 -4.74 0.650 0.0% -3.50 — +0.1 —
264 Hannah Klugman GBR 343 198 ↓6 ▲ 69 1 3 25.0% 0 — — R128 — 1,507 103.5 +0.27 -0.37 0.893 33.3% -1.00 — +0.0 —
265 Miriam Bulgaru ROU 344 198 ↓6 ▼ 145 0 2 0.0% 0 Q1 Q1 — — 1,442 97.8 -1.32 -2.06 0.833 0.0% -3.00 — -0.1 —
266 Lina Gjorcheska MKD 346 194 ↓6 ▼ 140 0 1 0.0% 0 Q2 Q1 R128 Q1 1,439 110.1 +2.73 +2.01 0.443 0.0% -3.50 — -0.1 —
267 Aoi Ito JPN 361 185 ↑11 ▼ 194 0 5 0.0% 0 — Q2 R128 R128 1,535 99.1 -2.69 -3.55 0.693 9.1% -2.82 — +0.4 —
268 Ipek Oz TUR 365 183 ↓5 ▲ 132 0 1 0.0% 0 — — — — 1,442 107.6 +1.08 -4.04 1.012 0.0% -1.00 — -0.1 —
269 Tiantsoa Rakotomanga Rajaonah FRA 367 181 ↓13 ▼ 249 0 5 0.0% 0 R128 R128 Q2 — 1,515 107.5 -2.86 -0.47 0.670 9.1% -2.55 — -0.6 —
270 Yelyzaveta Kotliar UKR 368 181 ↓13 ▲ 131 1 1 50.0% 0 — — — — 1,489 106.6 -3.14 -1.75 0.926 50.0% -0.34 — +0.1 —
271 Valentina Steiner GER 369 180 ↑30 ▲ 123 0 1 0.0% 0 — — — — 1,521 100.5 -0.60 -0.99 0.938 33.3% -1.00 — +0.1 —
272 Mariam Bolkvadze GEO 370 179 ↓13 ▼ 75 1 1 50.0% 0 — — R64 Q3 1,604 107.8 -2.94 +0.82 0.742 40.0% -1.80 — +0.0 —
273 Miriana Tona ITA 371 178 ↑3 ▼ 11 1 1 50.0% 0 — — — — 1,478 96.9 -1.39 -0.99 0.769 40.0% -1.00 — +0.3 —
274 Julia Stusek GER 376 177 ↓13 ▲ 65 1 1 50.0% 0 — — — — 1,473 104.4 -0.20 -1.49 0.892 50.0% -0.50 — +0.0 —
275 Carlota Martinez Cirez ESP 382 173 ↓9 ▲ 9 0 1 0.0% 0 — — — — 1,451 99.7 +0.28 -0.81 0.851 0.0% -3.00 — -0.0 —
276 Lia Karatancheva BUL 386 169 ↓7 ▼ 92 0 1 0.0% 0 — — — — 1,449 104.2 -0.52 -1.08 0.743 33.3% -1.33 — +0.1 —
277 Ariana Arseneault CAN 387 168 ↓6 ▲ 89 0 1 0.0% 0 — — — — 1,506 99.6 +0.23 -2.69 0.770 0.0% -3.00 — -0.0 —
278 Ana Sofia Sanchez MEX 389 166 ↓7 ▼ 196 0 1 0.0% 0 Q1 Q1 — — 1,315 88.9 +1.06 +0.68 0.470 0.0% -5.00 — -0.1 —
279 Heather Watson GBR 394 163 ↓7 ▼ 128 0 1 0.0% 0 — — Q3 Q3 1,595 109.3 -0.37 -2.60 0.695 0.0% -4.00 — +0.0 —
280 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 —
281 Rebecca Marino CAN 422 150 ↓5 ▼ 221 0 1 0.0% 0 — — — Q2 1,603 104.4 +1.37 -1.53 0.905 0.0% -2.00 — -0.1 —
282 Carol Zhao CAN 432 141 ↓5 ▼ 107 0 1 0.0% 0 — Q1 Q1 — 1,332 86.4 -2.73 -1.45 0.779 33.3% -1.67 — -0.0 —
283 Alisa Oktiabreva RUS 436 140 ↑71 ▼ 134 0 1 0.0% 0 — — — — 1,519 99.7 -2.14 -2.30 0.847 0.0% -3.00 — +0.2 —
284 Zarina Diyas KAZ 437 135 ↓9 ▼ 147 0 1 0.0% 0 R128 — — — 1,545 107.0 +0.19 -1.55 0.752 0.0% -3.00 — -0.1 —
285 Beatriz Haddad Maia BRA 439 138 ↓11 ▼ 380 0 11 0.0% 0 R128 R128 R128 — 1,536 108.1 -5.52 -3.57 0.737 15.4% -2.46 93.5 +0.1 —
286 Anastasia Pavlyuchenkova RUS 445 135 ↓1 ▼ 401 0 6 0.0% 0 R128 — — — 1,727 114.6 -1.32 -1.92 0.702 7.7% -2.46 — -0.3 —
287 Sapfo Sakellaridi GRE 450 132 ↓4 ▼ 47 0 1 0.0% 0 — — — — 1,389 99.6 -1.27 -0.60 0.964 33.3% -1.00 — +0.2 —
288 Jana Kovackova CZE 451 132 ↓8 ▲ 23 0 1 0.0% 0 — — — — 1,484 105.5 -1.31 -1.26 0.761 33.3% -1.67 — -0.1 —
289 Irina-Camelia Begu ROU 460 127 ↓9 ▼ 313 1 3 25.0% 0 — Q2 R128 — 1,725 103.3 -3.22 -1.54 0.666 22.2% -2.11 — +0.4 —
290 Jule Niemeier GER 461 127 ↑2 ▼ 209 0 1 0.0% 0 — — — — 1,490 98.4 -0.84 -1.62 0.880 0.0% -3.00 — +0.0 —
291 Venus Williams USA 469 124 ↓2 ▲ 9 0 12 0.0% 0 R128 — — R128 1,470 102.2 -2.89 -4.26 0.793 14.3% -2.36 95.4 +0.3 —
292 Ayano Shimizu JPN 483 120 ↓7 ▼ 86 0 1 0.0% 0 — — — — 1,439 104.6 -0.77 -0.88 0.622 0.0% -2.50 — -0.1 —
293 Valentini Grammatikopoulou GRE 486 116 ↓8 ▼ 25 0 1 0.0% 0 — — — — 1,416 103.0 -3.50 +0.25 0.916 0.0% -1.50 — +0.0 —
294 Ilinca Amariei ROU 499 106 ↓2 ▼ 17 0 1 0.0% 0 — — — — 1,454 100.0 -3.20 -3.78 0.913 0.0% -1.50 — +0.1 —
295 Xinran Sun CHN — — – — 2 1 66.7% 0 — — — — 1,547 125.9 +0.86 -0.52 1.170 66.7% +0.83 — -0.0 —
296 Nauhany Vitoria Leme Da Silva BRA — — – — 1 1 50.0% 0 — — — — 1,490 91.0 -1.37 +0.47 0.825 40.0% -1.40 — +0.3 —
297 Ana Bogdan ROU — — – — 0 1 0.0% 0 — — — — 1,591 98.6 +1.13 -0.17 0.782 0.0% -3.50 — -0.0 —
298 Brenda Fruhvirtova CZE — — – — 0 1 0.0% 0 — — — — 1,610 96.2 +0.18 -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 -1.36 0.671 0.0% -3.75 — 0.0 —
300 Diae El Jardi MAR — — – — 0 1 0.0% 0 — — — — 1,455 97.8 -0.77 -0.16 0.727 0.0% -3.00 — +0.0 —
301 Jennifer Brady USA — — – — 0 3 0.0% 0 — — — — 1,753 99.9 -0.78 -5.08 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 +1.05 +2.17 0.579 0.0% -4.00 — -0.1 —
304 Marianne Argyrokastriti GRE — — – — 0 1 0.0% 0 — — — — 1,489 96.9 -2.86 +1.16 0.491 0.0% -5.00 — +0.0 —
305 Maria Torres Murcia COL — — – — 0 1 0.0% 0 — — — — 1,362 100.6 -3.22 -0.66 0.791 33.3% -2.00 — +0.0 —
306 Monique Barry NZL — — – — 0 1 0.0% 0 — — — — 1,487 99.8 -5.83 -3.80 0.557 0.0% -4.50 — -0.1 —
307 Serena Williams USA — — – — 0 1 0.0% 0 — — R128 — 1,899 96.8 +1.06 -3.05 0.931 33.3% -1.67 — +0.1 —
308 Thea Frodin USA — — – — 0 1 0.0% 0 — — — R128 1,492 115.4 -0.72 +5.39 0.569 0.0% -3.50 — -0.1 —
309 Valentina Mediorreal Arias COL — — – — 0 1 0.0% 0 — — — — 1,415 93.9 -1.58 -0.34 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 — — — — 1,447 102.3 -0.83 -2.94 0.840 33.3% -1.67 — +0.1 —
312 Yu Jun Lin CHN — — – — 0 1 0.0% 0 — — — — 1,491 99.4 -2.16 -2.52 0.630 0.0% -4.50 — +0.0 —
313 Yushan Shao CHN — — – — 0 1 0.0% 0 — — — — 1,457 97.7 -4.88 -2.64 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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