Rankings as of: Aug 31, 2026

WTA 2026 Season Leaders & Rankings

Rankings, leaderboards, and performance stats by season.

Aryna Sabalenka is WTA No. 1 in the latest 2026 ranking snapshot on August 31, 2026, with 8,575 points.

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Rankings Leaders

Ranking points, results, and season metrics for 2026.

284 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 Aryna Sabalenka BLR 1 8,575 – ▶ 0 40 8 83.3% 3 F QF R16 — 2,165 167.9 +7.56 +3.28 1.325 81.1% +1.86 94.9 +0.1 -46.0
2 Elena Rybakina KAZ 2 8,141 – ▲ 3 42 13 76.4% 2 W R64 R32 — 2,128 171.8 +7.12 +1.21 1.193 71.1% +1.38 100.2 -1.0 +8.1
3 Jessica Pegula USA 3 7,265 – ▲ 3 46 12 79.3% 2 SF R128 QF R128 2,131 167.1 +6.24 +3.51 1.242 70.3% +1.32 109.6 -0.5 +15.7
4 Coco Gauff USA 4 6,704 – ▼ 1 38 12 76.0% 1 QF R32 SF — 2,144 165.0 +2.63 +6.02 1.178 67.5% +1.33 104.4 +0.3 +38.5
5 Mirra Andreeva RUS 5 5,443 – ▲ 3 40 13 75.5% 3 R16 W R64 — 2,034 165.9 +4.74 +5.00 1.270 70.2% +1.61 102.1 +1.0 -28.6
6 Linda Noskova CZE 6 5,028 – ▲ 7 30 13 69.8% 2 R32 R128 W — 2,032 152.0 +6.06 +0.35 1.167 62.2% +0.98 104.2 +0.3 +29.8
7 Karolina Muchova CZE 7 4,983 – ▲ 12 34 9 79.1% 2 R16 R32 F — 2,107 161.2 +6.06 +1.62 1.219 70.7% +1.13 113.0 -1.3 +35.4
8 Iga Swiatek POL 8 4,809 – ▼ 6 30 11 73.2% 1 QF R16 R32 — 2,129 167.6 +5.04 +7.77 1.360 69.5% +1.94 91.8 +0.2 +42.7
9 Elina Svitolina UKR 9 4,689 – ▲ 3 42 13 76.4% 2 SF QF R128 R128 2,084 166.4 +3.34 +5.05 1.199 68.5% +1.46 111.3 -0.6 -9.0
10 Amanda Anisimova USA 10 4,533 – ▼ 6 21 11 65.6% 0 QF R32 R32 — 2,022 157.7 +4.71 +4.04 1.263 61.1% +1.06 96.2 +1.1 -0.9
11 Marta Kostyuk UKR 11 3,980 – ▲ 9 33 8 80.5% 2 R128 SF SF R128 2,091 165.6 +4.46 +5.47 1.239 72.3% +1.79 106.5 -2.5 -3.8
12 Belinda Bencic SUI 12 2,995 – ▼ 2 21 11 65.6% 0 R64 R16 R16 — 1,999 156.6 +4.70 +4.00 1.265 68.1% +1.26 95.5 +0.8 +0.8
13 Naomi Osaka JPN 13 2,846 – ▲ 3 24 10 70.6% 0 R32 R16 QF — 2,043 156.0 +5.32 +1.21 1.178 67.6% +1.22 106.1 -0.7 +6.2
14 Iva Jovic USA 14 2,671 – ▲ 16 31 16 66.0% 0 QF R32 R16 — 1,910 153.5 +2.74 +3.31 1.166 64.2% +1.08 100.6 +0.6 -8.2
15 Victoria Mboko CAN 15 2,531 – ▲ 2 23 9 71.9% 0 R16 R32 — — 1,980 163.9 +3.31 +2.33 1.129 65.8% +1.03 110.8 +0.7 -48.6
16 Diana Shnaider RUS 16 2,468 – ▲ 7 26 18 59.1% 0 R32 SF R64 — 1,945 158.1 +2.01 +2.40 1.072 56.9% +0.68 102.3 -1.5 +43.0
17 Sorana Cirstea ROU 17 2,294 – ▲ 24 32 14 69.6% 1 R64 QF R32 — 1,969 159.8 +3.88 +2.43 1.157 68.3% +1.28 105.7 -0.8 -34.9
18 Alexandra Eala PHI 18 2,281 – ▲ 31 30 19 61.2% 1 R128 R128 R16 — 1,981 153.9 -0.17 +2.35 1.022 57.5% +0.39 107.6 -1.0 +41.5
19 Ekaterina Alexandrova RUS 19 2,186 – ▼ 8 16 21 43.2% 0 R128 R128 R32 R128 1,825 137.7 +1.40 -0.62 0.997 46.6% -0.12 92.5 +1.7 -3.0
20 Elise Mertens BEL 20 2,165 ↑4 ▲ 1 24 16 60.0% 0 R16 R64 QF — 1,891 146.3 +2.24 +2.24 1.116 58.2% +0.76 101.2 +1.5 +4.2
21 Jasmine Paolini ITA 21 2,123 ↓1 ▼ 14 15 12 55.6% 0 R32 R64 QF R128 1,896 136.3 -0.02 +0.66 1.030 50.7% +0.15 99.0 +2.4 +10.5
22 Maja Chwalinska POL 22 2,037 ↓1 ▲ 123 9 6 60.0% 0 Q3 F R128 — 1,791 139.9 -0.51 +2.65 1.047 58.8% +0.50 101.3 -0.2 -17.5
23 Anna Kalinskaya RUS 23 1,933 ↓1 ▲ 10 24 17 58.5% 0 R32 QF R32 — 1,905 152.0 +0.87 +1.65 1.031 56.3% +0.15 105.9 -0.3 +1.2
24 Madison Keys USA 24 1,909 ↓1 ▼ 15 29 13 69.0% 1 R16 R16 R16 — 1,989 152.2 +5.49 +2.68 1.231 66.0% +1.23 94.6 +1.0 -18.6
25 Anastasia Potapova AUT 25 1,756 – ▲ 29 23 16 59.0% 0 R32 R16 R128 — 1,848 142.8 -1.66 +1.48 0.973 54.3% +0.26 106.1 +0.3 -66.9
26 Marie Bouzkova CZE 26 1,753 – ▲ 19 27 17 61.4% 2 R64 R32 R16 — 1,881 146.3 +2.04 +2.03 1.119 57.4% +0.56 107.1 +1.4 -8.7
27 Emma Navarro USA 27 1,724 – ▼ 12 20 17 54.0% 1 R128 R64 R32 — 1,846 133.1 +1.40 +0.06 1.027 53.3% +0.23 97.6 +1.0 -10.9
28 Ann Li USA 28 1,683 ↑2 ▲ 10 22 22 50.0% 0 R64 R64 R128 — 1,768 141.7 +1.25 -0.63 1.007 48.1% +0.06 100.8 +1.6 +2.6
29 Barbora Krejcikova CZE 29 1,666 ↓1 ▲ 26 17 11 60.7% 1 R128 R128 R16 R128 1,869 138.1 +2.48 +1.22 1.132 63.9% +1.07 93.9 +0.1 -45.6
30 Sara Bejlek CZE 30 1,652 ↓1 ▲ 58 20 15 57.1% 1 R128 R64 R128 — 1,879 146.5 -1.36 +3.93 1.033 54.7% +0.40 108.9 -0.4 +71.2
31 Diane Parry FRA 31 1,611 ↑19 ▲ 91 18 10 64.3% 1 Q1 R16 R64 — 1,831 128.9 +2.30 -1.49 1.002 58.5% +0.35 109.5 +1.2 +77.2
32 Jelena Ostapenko LAT 32 1,512 ↓1 ▼ 8 21 17 55.3% 0 R64 R64 R32 — 1,823 144.9 -0.28 +1.27 1.038 55.7% +0.41 99.5 +2.0 -30.4
33 Leylah Fernandez CAN 33 1,454 ↓1 ▼ 11 16 21 43.2% 0 R128 R128 R128 R128 1,790 142.1 +1.75 -1.92 0.989 43.5% 0.00 96.1 +1.2 +13.4
34 Nikola Bartunkova CZE 34 1,417 ↑4 ▲ 92 18 12 60.0% 0 R32 R128 R32 — 1,811 141.1 +0.19 +0.32 0.974 53.9% +0.09 103.8 -0.0 +17.5
35 Maria Sakkari GRE 35 1,415 ↓2 ▲ 17 17 16 51.5% 0 R64 R32 R32 — 1,825 147.3 +1.94 +0.29 1.018 50.7% +0.11 99.9 +0.3 +16.0
36 Janice Tjen INA 36 1,323 ↓1 ▲ 20 11 22 33.3% 0 R64 R128 R64 — 1,677 134.5 +0.08 -2.73 0.897 38.2% -0.93 100.7 -0.3 +14.6
37 Hailey Baptiste USA 37 1,300 ↓3 ▲ 29 17 11 60.7% 0 R32 R64 — — 1,857 151.5 +3.77 -0.38 1.063 57.1% +0.44 104.5 +0.1 —
38 Clara Tauson DEN 38 1,282 ↑4 ▼ 24 16 20 44.4% 0 R32 R128 R128 — 1,771 136.9 +0.17 -0.91 0.982 48.2% -0.01 94.8 +2.0 +8.3
39 Donna Vekic CRO 39 1,278 ↓3 ▲ 31 12 12 50.0% 1 R128 R64 R128 R128 1,759 136.0 +1.27 -0.65 0.982 50.9% -0.05 100.2 +0.1 -7.2
40 Cristina Bucsa ESP 40 1,274 – ▲ 11 9 15 37.5% 1 R128 R128 — — 1,690 130.8 -3.28 -0.69 0.872 41.1% -0.64 96.0 +1.0 -48.1
41 Magdalena Frech POL 41 1,240 ↓4 ▲ 16 14 18 43.8% 0 R64 R64 R128 — 1,746 140.1 +0.39 +1.99 1.079 47.4% -0.05 96.8 -0.2 +31.5
42 Katerina Siniakova CZE 42 1,234 ↓3 ▲ 4 13 15 46.4% 0 R64 R64 R64 — 1,814 140.4 -0.10 +1.35 1.014 49.2% -0.08 96.7 -0.3 -13.7
43 Xinyu Wang CHN 43 1,195 ↓2 ▶ 0 20 18 52.6% 0 R16 R64 R64 R128 1,764 135.9 +1.36 -1.50 0.981 50.6% -0.02 100.3 +1.2 +18.1
44 Jaqueline Cristian ROU 44 1,181 ↓1 ▼ 7 15 16 48.4% 0 R128 R128 R128 — 1,819 144.6 +0.39 -1.38 0.932 47.3% -0.33 99.9 -0.7 -14.8
45 Daria Snigur UKR 45 1,180 ↓1 ▲ 91 14 8 63.6% 0 Q3 R64 R32 — 1,816 136.5 -0.12 +0.95 1.010 58.0% +0.46 106.5 -0.3 +26.8
46 Oleksandra Oliynykova UKR 46 1,170 – ▲ 44 16 14 53.3% 0 R128 R32 R128 — 1,757 124.2 -2.87 +1.44 0.943 53.8% -0.14 100.8 -0.0 +11.4
47 Liudmila Samsonova RUS 47 1,159 ↓2 ▼ 29 16 21 43.2% 0 R128 R128 R32 — 1,831 148.4 +1.21 +0.23 1.025 50.0% +0.15 90.3 +0.2 +39.8
48 Tamara Korpatsch GER 48 1,148 ↓1 ▲ 76 13 9 59.1% 1 Q3 R32 R128 — 1,729 129.4 -1.68 +0.88 0.982 53.8% -0.04 — +0.3 +34.3
49 Lilli Tagger AUT 49 1,141 ↓1 ▲ 106 10 10 50.0% 1 Q3 R128 R128 — 1,734 130.7 +3.00 -1.73 1.065 53.2% -0.04 100.5 +0.1 +40.2
50 Tereza Valentova CZE 50 1,124 ↑7 ▲ 10 14 16 46.7% 0 R32 R128 R128 — 1,804 144.1 -0.19 +0.95 0.999 45.6% -0.09 99.6 -1.2 +4.7
51 Anhelina Kalinina UKR 51 1,115 ↓2 ▲ 128 11 12 47.8% 0 R128 R128 R128 — 1,770 131.7 -2.17 +2.40 1.026 51.0% +0.16 — +0.0 -41.1
52 Mayar Sherif EGY 52 1,105 ↓1 ▲ 57 9 5 64.3% 1 Q1 R64 Q1 — 1,794 129.7 -0.11 +0.04 1.063 60.6% +0.73 101.6 -0.5 +37.0
53 Zeynep Sonmez TUR 53 1,087 ↓1 ▲ 59 19 18 51.4% 0 R32 R128 R64 — 1,779 133.1 -1.10 +0.78 0.998 47.7% -0.17 107.5 +0.7 -17.5
54 Shuai Zhang CHN 54 1,085 ↓1 ▲ 19 11 19 36.7% 0 R128 R128 R64 R128 1,697 130.9 -0.80 -2.01 0.900 39.7% -0.74 100.8 -0.2 -9.2
55 Peyton Stearns USA 55 1,061 ↓1 ▲ 12 19 16 54.3% 1 R32 R32 R128 — 1,749 139.0 +1.02 +0.42 1.061 54.3% +0.37 99.2 -0.0 -42.5
56 Viktorija Golubic SUI 56 1,053 ↓1 ▲ 25 12 11 52.2% 0 R128 R32 R64 — 1,788 133.9 -1.42 +2.23 1.022 50.9% +0.31 98.7 +0.5 -3.4
57 Karolina Pliskova CZE 57 1,051 ↓1 ▲ 359 21 10 67.7% 0 R32 Q2 R64 R128 1,867 135.0 +1.13 -1.15 0.985 60.6% +0.07 109.5 +0.5 +0.2
58 Yuliia Starodubtseva UKR 58 1,045 ↑16 ▲ 52 14 15 48.3% 0 R128 R32 R128 — 1,713 139.2 +1.03 +1.40 1.114 51.4% +0.13 95.0 +0.1 -35.5
59 Camila Osorio COL 59 1,023 ↓1 ▲ 23 15 16 48.4% 0 R128 R32 R64 — 1,746 139.8 -1.01 +2.86 1.046 50.0% +0.19 97.1 -0.6 -53.3
60 Ashlyn Krueger USA 60 1,005 ↑2 ▲ 1 11 12 47.8% 0 R64 R128 R16 — 1,794 131.6 +1.09 -0.79 0.995 47.2% -0.04 102.0 -0.5 -6.1
61 Daria Kasatkina AUS 61 1,003 ↓2 ▼ 13 11 16 40.7% 0 R128 R32 R32 — 1,772 133.6 -2.94 +3.21 0.982 47.1% -0.19 90.2 +0.2 -9.6
62 Katie Boulter GBR 62 1,002 ↓2 ▲ 51 19 15 55.9% 1 R128 R64 R128 R128 1,772 138.2 +0.20 +0.25 1.001 51.9% +0.22 103.8 -0.7 -23.9
63 Talia Gibson AUS 63 997 ↓2 ▲ 56 14 16 46.7% 0 R64 R128 R128 R128 1,694 142.2 +0.55 -0.72 0.962 48.6% -0.29 99.4 -1.3 -18.5
64 Elena-Gabriela Ruse ROU 64 991 ↓1 ▲ 15 14 18 43.8% 0 R32 R128 R128 R128 1,824 140.0 -1.38 -0.14 0.917 45.1% -0.45 101.3 -2.6 -10.1
65 Caty Mcnally USA 65 990 ↓1 ▲ 18 22 19 53.7% 0 R64 R64 R64 — 1,843 139.6 -1.33 +2.49 1.016 53.1% +0.28 101.8 -1.8 +24.9
66 Mccartney Kessler USA 66 985 ↓1 ▼ 30 14 18 43.8% 0 R64 R64 R64 R128 1,759 133.6 -0.72 -0.40 0.947 43.8% -0.41 102.2 -1.1 -22.5
67 Elisabetta Cocciaretto ITA 67 985 ↓1 ▲ 13 16 14 53.3% 1 R128 R128 R128 — 1,742 138.2 +1.04 -0.29 1.011 56.3% +0.39 101.1 +0.3 -36.9
68 Panna Udvardy HUN 68 984 ↑8 ▲ 21 17 17 50.0% 0 R128 R128 R128 — 1,705 127.2 +0.34 -2.64 0.923 49.4% -0.43 107.0 -0.5 -5.9
69 Alina Korneeva RUS 69 980 ↓2 ▲ 143 7 5 58.3% 0 Q1 R64 R128 — 1,745 139.4 -0.68 +5.18 1.163 60.0% +1.04 — -0.2 +86.2
70 Emma Raducanu GBR 70 975 ↓2 ▼ 41 11 9 55.0% 0 R64 R128 — — 1,834 130.1 +1.08 +3.44 1.176 55.8% +0.40 94.6 +1.1 +3.5
71 Kimberly Birrell AUS 71 974 ↓2 ▲ 5 11 17 39.3% 0 R128 R64 R64 — 1,688 133.9 -1.32 -0.73 0.914 42.0% -0.55 95.8 -0.8 -38.2
72 Maya Joint AUS 72 966 ↑3 ▼ 40 6 17 26.1% 0 R128 R128 R64 — 1,679 121.6 -2.90 +0.48 0.904 35.1% -0.98 92.8 +0.6 +11.6
73 Anna Bondar HUN 73 961 ↓3 ▲ 2 20 21 48.8% 0 R64 R128 R128 — 1,731 137.2 +2.23 -1.50 1.028 49.5% +0.09 100.7 -0.6 +0.5
74 Renata Zarazua MEX 74 957 ↓3 ▲ 10 8 15 34.8% 0 R128 R128 R128 R128 1,630 117.6 -3.39 -2.12 0.825 35.8% -1.17 — -0.1 -8.8
75 Darja Vidmanova CZE 75 957 ↑15 ▲ 67 6 8 42.9% 0 Q3 Q1 R128 — 1,736 122.1 -0.84 -1.34 0.971 47.1% -0.21 98.3 +0.7 +37.0
76 Lanlana Tararudee THA 76 955 ↓4 ▲ 55 5 5 50.0% 0 R128 Q1 R64 R128 1,761 121.7 -0.72 -0.19 0.926 45.5% -0.36 106.3 +0.5 +14.7
77 Petra Marcinko CRO 77 954 ↓4 ▶ 0 13 14 48.1% 1 R64 R128 R128 — 1,662 120.1 -1.70 +0.25 0.978 48.4% -0.41 105.3 +0.5 -21.2
78 Katie Volynets USA 78 938 ↑13 ▲ 16 9 15 37.5% 0 R128 R64 Q3 — 1,820 132.1 -0.64 +0.45 0.988 42.1% -0.16 96.3 -0.4 +22.0
79 Alycia Parks USA 79 927 ↑10 ▲ 21 17 20 46.0% 0 R64 R64 R64 R128 1,635 128.5 +0.07 -2.10 0.938 47.1% -0.51 102.1 +1.6 -1.9
80 Xiyu Wang CHN 80 919 ↑2 ▲ 104 6 4 60.0% 0 — R16 Q2 — 1,771 133.9 +1.63 +4.05 1.150 52.6% +0.79 — +0.2 +29.7
81 Hanne Vandewinkel BEL 81 919 ↓4 ▲ 44 2 7 22.2% 0 Q1 R128 R128 R128 1,640 109.8 -2.18 -1.38 0.798 28.6% -1.45 — -0.5 +24.7
82 Magda Linette POL 82 916 ↓4 ▼ 29 19 17 52.8% 0 R32 R32 R128 — 1,760 135.8 -0.23 -1.89 0.906 46.0% -0.21 110.1 -0.1 -41.8
83 Tatjana Maria GER 83 912 ↓4 ▼ 41 17 23 42.5% 0 R128 R128 R64 — 1,792 128.6 +0.55 -0.25 1.008 44.6% -0.22 94.0 +0.4 +6.4
84 Yulia Putintseva KAZ 84 904 ↓4 ▲ 10 13 15 46.4% 0 R16 R64 R128 — 1,720 134.9 -1.43 +1.01 0.974 48.5% -0.16 97.5 -1.1 -50.0
85 Antonia Ruzic CRO 85 894 ↓4 ▼ 14 12 18 40.0% 0 R128 R64 R64 — 1,694 132.4 -4.06 -0.66 0.837 39.7% -0.70 101.6 -1.2 -43.9
86 Maria Timofeeva UZB 86 890 ↑6 ▲ 52 3 7 30.0% 0 Q1 Q2 R64 — 1,733 119.0 -3.67 +0.32 0.859 36.8% -1.26 — -0.1 +26.4
87 Paula Badosa ESP 87 885 ↓4 ▼ 61 14 16 46.7% 0 R64 — R128 — 1,858 136.5 -0.63 +0.17 0.961 49.3% -0.21 93.3 -0.9 +18.0
88 Emiliana Arango COL 88 868 ↓4 ▼ 38 8 17 32.0% 0 R128 R128 R128 R128 1,612 118.4 -3.19 +0.06 0.921 37.9% -0.91 98.1 +0.3 -0.5
89 Simona Waltert SUI 89 861 ↓4 ▼ 3 4 11 26.7% 0 R128 R128 R128 — 1,657 127.1 -1.85 -1.16 0.843 28.6% -1.26 102.5 -1.4 -4.9
90 Sinja Kraus AUT 90 860 ↓4 ▲ 16 2 11 15.4% 0 Q1 R128 R128 — 1,726 120.1 -2.73 -1.31 0.861 23.3% -1.53 — -0.6 -3.2
91 Solana Sierra ARG 91 854 ↓4 ▼ 27 11 15 42.3% 0 R128 R32 R64 R128 1,710 124.7 -1.74 -3.11 0.828 42.6% -0.87 104.7 -0.6 -49.9
92 Kamilla Rakhimova UZB 92 852 ↓4 ▼ 1 11 14 44.0% 0 R128 R64 R64 R128 1,715 137.7 -1.56 +2.10 0.988 45.9% -0.07 100.1 -1.2 +21.7
93 Oksana Selekhmeteva ESP 93 824 – ▲ 5 6 10 37.5% 0 R32 R128 R64 — 1,622 126.1 -2.46 +0.18 0.945 43.9% -0.54 — -0.3 -21.1
94 Mananchaya Sawangkaew THA 94 804 ↑3 ▲ 103 2 3 40.0% 0 R128 — R32 — 1,733 115.2 +0.23 -0.22 0.977 41.7% -0.33 — -0.0 -4.2
95 Anna Blinkova RUS 95 789 ↓1 ▼ 33 5 17 22.7% 0 R128 R128 R64 — 1,679 118.4 -4.14 -0.42 0.835 31.5% -1.48 96.0 -0.1 -8.3
96 Taylor Townsend USA 96 783 ↓1 ▲ 20 11 10 52.4% 0 R128 R128 R128 — 1,846 140.7 +3.12 +0.12 1.030 53.1% +0.10 101.9 -1.6 +2.8
97 Polina Kudermetova UZB 97 783 ↓1 ▲ 53 3 7 30.0% 0 R64 Q3 R128 Q1 1,685 116.3 -3.24 -2.21 0.753 30.4% -1.43 103.0 -0.1 -18.4
98 Eva Lys GER 98 777 – ▼ 59 4 12 25.0% 0 R128 R64 R128 — 1,718 113.2 -3.11 -0.77 0.826 33.3% -1.26 94.8 -1.1 -43.1
99 Moyuka Uchijima JPN 99 775 – ▼ 12 2 10 16.7% 0 R64 R128 Q1 Q1 1,616 120.4 -2.83 +0.47 0.891 28.6% -1.39 — +0.1 +0.8
100 Taylah Preston AUS 100 762 – ▲ 61 6 3 66.7% 0 R64 Q1 Q1 R128 1,628 122.4 -1.77 +2.58 1.046 65.2% +0.48 — -0.2 +23.4
101 Anastasia Zakharova RUS 101 759 – ▲ 4 10 14 41.7% 0 R128 R128 R128 — 1,712 127.3 -1.29 -3.04 0.840 40.4% -0.82 107.8 -0.8 —
102 Laura Siegemund GER 102 758 – ▼ 55 8 12 40.0% 0 R64 R128 R128 — 1,748 132.0 +0.36 -0.46 0.968 42.9% -0.41 97.9 -0.2 —
103 Ajla Tomljanovic AUS 103 752 – ▼ 27 12 13 48.0% 0 R64 R128 R128 — 1,715 134.6 -0.10 +1.22 1.056 50.0% +0.13 96.0 +0.1 —
104 Francesca Jones GBR 104 751 – ▼ 35 4 12 25.0% 0 R128 R64 R128 Q3 1,728 109.6 -4.52 -4.07 0.738 28.9% -1.60 — +0.8 —
105 Jessica Bouzas Maneiro ESP 105 749 – ▼ 65 13 20 39.4% 0 R128 R128 R32 — 1,726 132.5 -2.10 +1.20 0.961 42.7% -0.41 96.9 -0.3 —
106 Veronika Erjavec SLO 106 741 – ▼ 7 0 6 0.0% 0 R128 R128 R128 R128 1,575 106.7 -2.86 -1.73 0.700 14.3% -2.57 — -0.2 —
107 Kaitlin Quevedo ESP 107 735 – ▲ 22 4 6 40.0% 0 Q1 R64 Q2 — 1,625 113.9 -0.73 -0.53 0.928 40.0% -1.00 — -0.3 —
108 Alina Charaeva RUS 108 715 – ▲ 55 3 5 37.5% 0 Q1 Q1 Q3 Q1 1,692 117.3 -2.72 +0.26 0.971 40.0% -0.45 — -0.6 —
109 Darja Semenistaja LAT 109 714 – ▼ 13 2 5 28.6% 0 R128 Q2 R128 Q3 1,569 109.1 -2.85 +0.01 0.903 35.3% -1.06 — -0.4 —
110 Sofia Kenin USA 110 709 – ▼ 82 6 16 27.3% 0 R128 R128 R64 R128 1,655 125.2 -0.22 -2.87 0.902 33.3% -1.20 94.9 -1.3 —
111 Claire Liu USA 111 704 – ▲ 116 3 4 42.9% 0 Q2 R64 R32 Q1 1,690 124.9 -0.15 -1.72 0.927 44.4% -0.33 101.3 +0.1 —
112 Julia Grabher AUT 112 694 ↑2 ▼ 20 3 7 30.0% 0 R64 R64 Q1 — 1,669 109.7 -2.68 -2.60 0.769 30.0% -0.95 — -0.1 —
113 Dayana Yastremska UKR 113 692 ↓1 ▼ 86 11 20 35.5% 0 R128 R128 R64 R128 1,705 127.8 -2.56 -1.57 0.906 41.3% -0.73 97.2 +0.5 —
114 Elsa Jacquemot FRA 114 668 ↓1 ▼ 56 5 13 27.8% 0 R64 R64 R128 — 1,532 108.4 -3.26 -0.85 0.811 26.3% -1.90 — +0.2 —
115 Elvina Kalieva USA 115 636 – ▲ 92 4 7 36.4% 0 Q3 Q1 Q2 R128 1,666 116.9 -0.48 -1.99 0.903 37.0% -1.07 102.5 -0.2 —
116 Laura Samson CZE 116 627 – ▲ 89 2 2 50.0% 0 Q1 Q1 Q1 Q1 1,634 109.9 -0.39 +0.35 1.051 50.0% +0.20 — +0.4 —
117 Kayla Day USA 117 625 – ▲ 140 2 5 28.6% 0 — Q1 R128 Q1 1,607 129.9 +0.06 +0.10 0.921 35.3% -0.94 — -0.6 —
118 Dominika Salkova CZE 118 622 – ▲ 26 3 3 50.0% 0 Q2 Q2 Q1 Q2 1,586 113.5 -1.90 +0.89 1.039 50.0% +0.08 — +0.3 —
119 Lucrezia Stefanini ITA 119 620 – ▲ 20 2 4 33.3% 0 Q2 Q2 Q2 R128 1,677 117.4 -1.44 -0.87 0.850 25.0% -1.42 — -0.4 —
120 Victoria Jimenez Kasintseva AND 120 617 – ▼ 6 3 7 30.0% 0 Q2 Q1 R128 Q1 1,550 111.3 -4.50 -3.50 0.716 29.2% -1.67 — +0.3 —
121 Qinwen Zheng CHN 121 613 – ▼ 96 11 12 47.8% 0 — R128 R128 Q3 1,868 138.8 +2.86 -3.03 0.985 46.6% -0.09 101.6 -0.7 —
122 Mary Stoiana USA 122 612 – ▲ 100 0 4 0.0% 0 Q2 Q3 Q2 Q3 1,664 111.9 -0.68 -2.06 0.849 27.3% -1.64 — -0.2 —
123 Ella Seidel GER 123 611 ↑1 ▼ 45 2 13 13.3% 0 R128 R128 R128 — 1,570 114.7 -3.06 -3.31 0.757 26.5% -1.91 — +0.0 —
124 Sonay Kartal GBR 124 607 ↓1 ▼ 61 7 5 58.3% 0 R128 — — — 1,848 145.5 +1.78 +1.22 1.149 55.2% +0.52 102.6 -0.5 —
125 Kristina Liutova RUS 125 603 – ▲ 356 5 0 100.0% 1 — — — Q3 1,667 123.7 +0.02 +1.81 1.210 76.9% +1.38 — +0.1 —
126 Emerson Jones AUS 126 601 – ▲ 27 2 6 25.0% 0 R128 R128 Q2 Q1 1,553 121.8 -3.36 +0.45 0.775 23.5% -2.06 — -0.2 —
127 Leolia Jeanjean FRA 127 599 – ▼ 24 3 7 30.0% 0 R128 R128 R64 — 1,662 124.6 -2.40 -2.20 0.841 31.8% -1.27 — +0.1 —
128 Lulu Sun NZL 128 597 – ▼ 43 0 5 0.0% 0 R128 Q3 Q2 — 1,624 108.0 +0.09 -3.66 0.809 9.1% -2.36 — -0.2 —
129 Katarzyna Kawa POL 129 590 – ▲ 6 3 3 50.0% 0 Q1 Q2 Q3 Q1 1,622 115.1 -0.95 +1.54 1.203 53.8% +1.00 — -0.0 —
130 Lisa Pigato ITA 130 577 – ▲ 61 0 1 0.0% 0 — Q2 Q1 Q1 1,497 99.3 -1.56 +2.43 0.950 33.3% -0.33 — +0.2 —
131 Harriet Dart GBR 131 575 – ▲ 39 2 6 25.0% 0 Q2 Q2 R128 Q3 1,601 114.2 -2.36 -0.30 0.856 33.3% -1.33 — +0.6 —
132 Veronika Podrez UKR 132 572 – ▲ 154 4 2 66.7% 0 — Q1 Q2 Q2 1,615 121.1 -1.20 +3.13 1.039 58.3% +0.42 — -0.3 —
133 Marina Bassols Ribera ESP 133 571 – ▲ 105 1 2 33.3% 0 Q3 R64 Q3 Q2 1,619 116.8 +1.33 -0.28 0.934 50.0% -0.62 — +0.0 —
134 Maddison Inglis AUS 134 566 – ▲ 34 3 2 60.0% 0 R16 Q1 Q1 Q1 1,627 113.3 +0.93 +0.47 0.842 45.5% -0.82 101.4 -0.2 —
135 Lucia Bronzetti ITA 135 566 – ▼ 28 0 3 0.0% 0 Q3 R128 Q3 Q2 1,679 105.8 -0.44 -1.14 0.823 25.0% -1.63 — -0.3 —
136 Aliaksandra Sasnovich BLR 136 563 – ▼ 32 4 9 30.8% 0 R128 Q3 Q3 Q2 1,659 131.7 -1.13 -0.93 0.931 31.0% -0.69 — -1.3 —
137 Noma Noha Akugue GER 137 559 – ▲ 134 1 2 33.3% 0 — Q2 Q2 Q1 1,501 102.0 -1.90 +0.07 0.875 37.5% -0.87 — +0.2 —
138 Yue Yuan CHN 138 550 – ▼ 8 5 5 50.0% 0 R128 Q1 Q1 Q3 1,577 122.3 -0.34 -1.67 0.913 46.2% -0.31 102.5 -0.3 —
139 Marina Stakusic CAN 140 542 – ▼ 13 1 3 25.0% 0 R128 — — — 1,679 128.8 -1.71 -2.88 0.937 40.0% -0.30 — +0.2 —
140 Fiona Ferro FRA 141 534 – ▲ 228 2 4 33.3% 0 Q2 R128 Q1 Q1 1,646 125.0 -0.18 +2.19 1.061 46.7% +0.27 — -0.4 —
141 Carol Young Suh Lee USA 143 527 – ▲ 67 1 2 33.3% 0 Q3 Q1 Q1 R128 1,635 112.9 +1.27 +0.16 0.986 37.5% -0.25 — -0.1 —
142 Himeno Sakatsume JPN 144 526 – ▼ 4 1 3 25.0% 0 R128 Q3 Q1 Q3 1,629 119.3 +0.83 -2.56 0.748 25.0% -1.88 — -0.1 —
143 Leyre Romero Gormaz ESP 145 521 – ▼ 4 1 2 33.3% 0 Q1 Q3 Q1 Q1 1,598 110.5 -1.95 -1.63 0.990 50.0% +0.25 — -0.2 —
144 Tamara Zidansek SLO 146 520 – ▲ 5 4 2 66.7% 0 Q3 Q2 Q1 Q3 1,726 114.4 +0.34 +0.85 1.169 60.0% +0.53 — -0.4 —
145 Julia Riera ARG 147 517 – ▲ 34 2 1 66.7% 0 Q2 Q3 Q2 Q1 1,548 103.7 +0.06 -0.76 1.113 62.5% +0.38 — +0.5 —
146 Varvara Gracheva FRA 148 503 – ▼ 74 4 7 36.4% 0 R64 — — — 1,786 139.7 -1.98 +1.09 0.892 37.0% -1.30 — -0.6 —
147 Tyra Caterina Grant ITA 149 503 – ▲ 87 3 3 50.0% 0 — — R64 Q2 1,586 114.8 +2.28 -0.89 1.078 50.0% +0.21 — +0.4 —
148 Rebecca Sramkova SVK 151 496 – ▼ 79 3 10 23.1% 0 R128 R128 Q2 Q1 1,634 122.4 -3.39 -2.47 0.846 33.3% -1.26 — +0.6 —
149 Susan Bandecchi SUI 152 494 – ▲ 96 1 1 50.0% 0 — R64 Q1 Q3 1,597 106.2 +0.10 -3.34 0.893 40.0% -0.60 — +0.0 —
150 Marketa Vondrousova CZE 153 493 – ▼ 119 1 1 50.0% 0 — — — — 1,974 112.4 +1.24 +0.04 1.185 50.0% +0.83 — -0.1 —
151 Beatriz Haddad Maia BRA 154 489 – ▼ 95 0 11 0.0% 0 R128 R128 R128 — 1,536 108.1 -5.36 -3.83 0.737 15.4% -2.46 93.5 +0.3 —
152 Sofia Costoulas BEL 155 486 – ▼ 12 2 4 33.3% 0 Q1 Q3 Q1 Q2 1,556 113.8 -0.84 +0.19 1.002 40.0% -0.20 — +0.6 —
153 Priscilla Hon AUS 156 482 – ▼ 35 2 3 40.0% 0 R64 Q1 Q1 Q2 1,529 108.5 -4.09 -2.59 0.648 33.3% -2.17 — -0.0 —
154 Dalma Galfi HUN 157 481 – ▼ 64 4 11 26.7% 0 R128 R128 Q1 Q1 1,581 124.1 -0.71 -2.75 0.886 34.3% -0.97 — -0.1 —
155 Jazmin Ortenzi ARG 158 479 – ▲ 60 3 1 75.0% 0 Q2 Q2 Q1 Q1 1,536 117.4 +0.06 +2.42 1.085 66.7% +1.11 — +0.3 —
156 Elina Avanesyan ARM 159 477 – ▼ 10 5 3 62.5% 0 — — — Q1 1,644 113.7 -0.81 +2.63 1.204 52.9% +0.71 99.1 +0.1 —
157 Polina Iatcenko RUS 160 473 – ▼ 1 1 0 100.0% 0 Q1 Q1 Q3 R128 1,625 109.4 -2.34 -3.11 1.091 66.7% +0.33 — +0.1 —
158 Ekaterine Gorgodze GEO 161 472 – ▲ 8 0 1 0.0% 0 Q1 Q1 Q2 Q3 1,567 101.7 +0.76 +1.40 0.748 33.3% -2.00 — +0.1 —
159 Kayla Cross CAN 162 470 – ▲ 38 1 1 50.0% 0 Q1 Q1 Q1 Q1 1,422 97.9 -0.15 -0.30 0.914 50.0% -0.25 — +0.0 —
160 Tatiana Prozorova RUS 163 469 – ▲ 11 1 1 50.0% 0 Q2 Q1 Q2 Q1 1,634 106.0 -2.08 -0.61 0.902 40.0% -0.40 — -0.2 —
161 Suzan Lamens NED 164 464 – ▼ 69 0 4 0.0% 0 R128 Q3 Q2 Q2 1,615 111.2 -0.17 -1.97 0.890 20.0% -1.80 — -0.3 —
162 Vendula Valdmannova CZE 165 462 – ▲ 156 0 1 0.0% 0 — — Q1 Q3 1,622 110.6 -2.04 -2.91 0.832 0.0% -3.50 — -0.1 —
163 Mai Hontama JPN 167 458 – ▲ 77 2 2 50.0% 0 Q2 Q2 Q2 Q2 1,586 111.5 -1.98 +1.88 1.064 55.6% +0.33 — -0.1 —
164 Kaja Juvan SLO 168 452 – ▼ 71 2 3 40.0% 0 R128 Q2 — — 1,659 112.7 +0.17 -0.24 0.855 40.0% -1.40 — -0.4 —
165 Storm Hunter AUS 169 450 – ▲ 198 2 4 33.3% 0 R64 Q2 Q2 R128 1,688 124.6 +0.55 -0.44 0.821 30.8% -1.61 — -0.6 —
166 Elizabeth Mandlik USA 170 450 – ▲ 12 0 4 0.0% 0 R128 R128 Q1 Q1 1,467 101.6 -3.11 -1.49 0.731 11.1% -2.89 — +0.3 —
167 Teodora Kostovic SRB 171 447 – ▲ 6 1 2 33.3% 0 Q2 R128 R128 Q1 1,547 106.6 0.00 +2.48 1.015 42.9% -0.29 — +0.1 —
168 Tiantsoa Rakotomanga Rajaonah FRA 172 445 – ▼ 54 0 5 0.0% 0 R128 R128 Q2 — 1,515 107.9 -2.68 -0.78 0.657 9.1% -2.55 — -0.6 —
169 Linda Fruhvirtova CZE 174 437 – ▼ 42 3 8 27.3% 0 R64 R128 Q1 Q2 1,539 118.2 -4.20 +0.23 0.917 36.0% -0.56 93.8 +0.1 —
170 Jil Teichmann SUI 175 436 – ▼ 55 6 2 75.0% 0 — R16 Q2 — 1,707 124.4 +0.03 +2.18 1.042 70.6% +0.94 — +0.3 —
171 Greet Minnen BEL 176 436 – ▼ 53 1 2 33.3% 0 Q3 Q3 Q2 Q1 1,639 111.0 -0.41 -2.14 0.695 33.3% -0.83 — -0.0 —
172 Akasha Urhobo USA 177 434 – ▲ 160 1 2 33.3% 0 — R128 Q1 Q1 1,517 114.2 -1.14 -1.06 0.937 42.9% -1.00 — 0.0 —
173 Ye-Xin Ma CHN 178 434 – ▲ 47 1 1 50.0% 0 — — — Q1 1,554 111.4 -0.11 -1.63 0.921 50.0% -1.00 — -0.2 —
174 Rebeka Masarova SUI 180 431 – ▼ 65 5 6 45.5% 0 Q2 Q1 Q1 Q1 1,650 121.8 +0.87 -2.82 0.925 44.4% -0.52 — -0.4 —
175 Varvara Lepchenko USA 181 426 – ▼ 35 2 3 40.0% 0 Q1 Q1 Q1 Q1 1,517 108.1 -0.16 -2.36 0.933 38.5% -0.54 — +0.4 —
176 Bianca Andreescu CAN 183 422 – ▲ 45 2 7 22.2% 0 — Q2 R128 Q3 1,687 118.2 -1.80 -3.24 0.790 28.6% -1.57 97.4 -0.2 —
177 Gabriela Knutson CZE 184 421 – ▼ 8 0 2 0.0% 0 Q1 Q1 Q1 Q3 1,639 115.2 -1.33 -1.99 0.603 20.0% -3.40 — -0.1 —
178 Elena Pridankina RUS 186 417 – ▲ 4 1 3 25.0% 0 Q2 R128 Q3 Q3 1,660 121.5 -3.03 -1.99 0.804 25.0% -2.13 — +0.1 —
179 Robin Montgomery USA 187 414 – ▲ 93 5 3 62.5% 1 — Q2 R128 Q3 1,764 117.2 +0.86 -0.78 1.040 56.3% +0.56 — -0.1 —
180 Despina Papamichail GRE 188 411 – ▼ 28 1 1 50.0% 0 Q2 Q2 Q1 Q2 1,480 106.0 -0.81 -0.47 1.060 60.0% +0.80 — +0.3 —
181 Nuria Brancaccio ITA 189 409 – ▼ 24 0 1 0.0% 0 Q1 Q1 Q1 Q1 1,519 96.8 -1.85 +1.42 0.730 0.0% -3.50 — -0.1 —
182 Iryna Shymanovich BLR 191 405 – ▼ 37 3 3 50.0% 0 Q2 Q1 R128 Q2 1,595 112.7 -0.74 -0.40 0.937 50.0% -0.14 — +0.1 —
183 Anastasia Gasanova RUS 192 404 – ▲ 21 1 1 50.0% 0 Q3 Q1 R64 Q1 1,552 96.7 -0.02 +0.61 0.924 50.0% +0.25 — — —
184 Carole Monnet FRA 196 397 – ▼ 21 1 2 33.3% 0 Q1 Q2 Q1 Q1 1,521 95.6 -3.13 -0.02 0.629 28.6% -2.57 — -0.2 —
185 Linda Klimovicova POL 199 389 – ▼ 65 1 2 33.3% 0 R64 Q1 Q1 Q2 1,529 111.9 -0.39 -1.77 0.852 33.3% -1.83 — -0.2 —
186 Ayla Aksu TUR 201 388 ↓1 ▲ 221 1 1 50.0% 0 — — — Q1 1,504 106.5 +0.73 -1.41 0.879 40.0% -1.20 — +0.0 —
187 Sara Sorribes Tormo ESP 203 383 ↓1 ▲ 94 2 5 28.6% 0 — R128 R64 — 1,647 114.7 -2.51 +2.05 1.008 37.5% -0.62 — -0.1 —
188 Arantxa Rus NED 204 382 ↓1 ▼ 71 0 1 0.0% 0 Q1 Q1 Q1 Q3 1,564 102.7 -0.21 -2.68 0.500 0.0% -4.50 — -0.0 —
189 Mona Barthel GER 205 378 ↓1 ▲ 24 0 2 0.0% 0 — Q1 Q1 Q2 1,569 107.0 +0.23 -2.39 0.918 0.0% -2.00 — -0.2 —
190 Katie Swan GBR 207 377 ↓1 ▲ 62 1 1 50.0% 0 — — R64 Q2 1,564 104.6 +0.43 +0.70 1.025 50.0% -0.75 — — —
191 Anna Siskova CZE 208 376 ↓1 ▲ 52 0 1 0.0% 0 — Q1 Q1 Q2 1,510 100.6 +0.89 -1.34 1.021 0.0% -2.00 — +0.1 —
192 Sloane Stephens USA 209 375 ↓1 ▲ 187 6 11 35.3% 0 R128 R128 — — 1,679 128.7 -2.11 -2.42 0.837 35.1% -1.32 — -0.5 —
193 Guiomar Maristany Zuleta De Reales ESP 210 373 ↓1 ▼ 25 1 2 33.3% 0 R128 Q3 — Q2 1,580 112.7 -2.85 -3.07 0.975 33.3% -0.50 — +0.2 —
194 Hanyu Guo CHN 211 371 ↓1 ▼ 38 0 1 0.0% 0 Q1 R128 Q1 Q1 1,559 99.8 -1.24 -0.97 0.902 33.3% -0.33 — -0.1 —
195 Angela Fita Boluda ESP 213 368 ↓1 ▲ 50 0 1 0.0% 0 — — Q1 Q2 1,465 105.4 +1.88 -0.22 0.552 0.0% -3.00 — -0.1 —
196 Katherine Sebov CAN 214 367 ↓1 ▲ 25 1 2 33.3% 0 — Q1 Q3 Q1 1,525 116.3 -0.91 -0.74 0.788 33.3% -1.33 — +0.1 —
197 Harmony Tan FRA 216 364 ↓1 ▶ 0 0 1 0.0% 0 Q2 Q3 Q3 Q1 1,559 110.7 -1.60 +1.85 0.854 33.3% -2.67 — -0.1 —
198 Jennifer Ruggeri ITA 217 363 ↓1 ▲ 101 0 1 0.0% 0 — — — Q1 1,491 100.5 +0.55 -1.44 0.814 33.3% -2.00 — -0.0 —
199 Alevtina Ibragimova RUS 219 361 ↓1 ▲ 95 1 1 50.0% 0 — — — Q2 1,576 116.7 +0.74 +0.01 1.139 60.0% +1.60 — -0.1 —
200 Maria Lourdes Carle ARG 220 358 ↓1 ▼ 62 1 2 33.3% 0 Q2 Q3 Q2 Q1 1,584 112.4 -0.95 -1.75 0.842 42.9% -1.00 — +0.1 —
201 Alice Tubello FRA 222 356 ↓1 ▲ 213 0 1 0.0% 0 Q1 R128 Q1 Q1 1,475 100.2 -2.14 -0.13 0.630 0.0% -3.50 — — —
202 Lucie Havlickova CZE 226 348 ↓1 ▲ 55 1 2 33.3% 0 — Q1 Q1 Q3 1,564 120.2 -0.04 -0.99 0.822 42.9% -0.57 — -0.2 —
203 Nao Hibino JPN 228 344 ↓1 ▼ 24 0 1 0.0% 0 Q1 Q1 Q2 Q3 1,540 105.3 -1.42 +0.55 0.929 0.0% -2.00 — -0.1 —
204 Xinyu Gao CHN 230 339 ↑4 ▼ 21 0 1 0.0% 0 — — — — 1,537 104.5 -1.57 +1.72 0.629 0.0% -3.00 — +0.0 —
205 Whitney Osuigwe USA 234 332 ↓3 ▼ 82 1 3 25.0% 0 Q3 Q1 Q1 Q1 1,503 108.5 -1.62 -3.00 0.809 30.0% -1.10 — +0.3 —
206 Irene Burillo ESP 235 332 ↓3 ▲ 20 0 1 0.0% 0 — Q1 — — 1,442 95.0 +0.86 -1.10 0.754 0.0% -3.50 — +0.1 —
207 Polona Hercog SLO 236 329 ↓3 ▲ 79 0 1 0.0% 0 — — Q1 Q1 1,612 100.4 -0.52 -0.69 0.381 — — — -0.2 —
208 Lois Boisson FRA 237 323 ↓1 ▼ 202 3 8 27.3% 0 — R128 R128 — 1,699 120.2 +0.45 -1.35 0.924 36.0% -0.88 — -1.1 —
209 Alicia Dudeney GBR 238 323 ↓3 ▲ 204 0 3 0.0% 0 — — R128 — 1,489 99.1 -2.49 -3.70 0.659 0.0% -3.00 — -0.0 —
210 Viktoriya Tomova BUL 239 314 ↓5 ▼ 111 1 4 20.0% 0 Q3 Q2 Q1 — 1,568 107.8 -2.31 +0.53 0.871 27.3% -1.54 — -0.4 —
211 Mia Pohankova SVK 240 315 ↑6 ▲ 124 1 1 50.0% 0 — — Q1 — 1,532 97.0 -2.44 -0.16 0.906 50.0% -1.00 — -0.1 —
212 Caijsa Hennemann SWE 243 307 ↓1 ▲ 133 0 1 0.0% 0 — — — — 1,478 98.9 -3.92 -1.16 0.648 0.0% -3.50 — -0.1 —
213 Caroline Dolehide USA 248 302 ↓3 ▼ 137 1 3 25.0% 0 — — Q1 Q1 1,575 115.8 -1.26 -0.93 0.895 33.3% -1.11 — -0.4 —
214 Zhuoxuan Bai CHN 252 297 ↓3 ▲ 121 1 1 50.0% 0 R64 — Q2 — 1,600 118.0 -1.60 +2.14 0.805 40.0% -1.80 — -0.2 —
215 Selena Janicijevic FRA 254 297 – ▼ 31 0 1 0.0% 0 Q1 Q1 — — 1,426 95.5 +0.71 -0.70 0.762 0.0% -3.00 — +0.1 —
216 Elena Ruxandra Bertea ROU 256 292 ↓4 ▲ 47 0 1 0.0% 0 — — — — 1,465 100.8 -2.19 -0.74 0.812 0.0% -2.50 — -0.0 —
217 Lina Gjorcheska MKD 257 291 ↓4 ▼ 51 0 1 0.0% 0 Q2 Q1 R128 Q1 1,415 100.1 +2.54 +2.28 0.443 0.0% -3.50 — — —
218 Cadence Brace CAN 258 287 ↓3 ▼ 71 0 3 0.0% 0 Q1 Q1 Q1 — 1,516 105.8 -1.16 -3.86 0.621 14.3% -2.57 — -0.1 —
219 Olivia Gadecki AUS 260 285 ↓2 ▼ 88 1 1 50.0% 0 Q2 — — — 1,557 120.2 +1.48 +2.33 0.921 60.0% -0.60 — -0.2 —
220 Anastasia Tikhonova RUS 262 282 ↓2 ▼ 12 0 1 0.0% 0 — — — — 1,445 102.0 +0.02 -1.12 0.697 0.0% -4.00 — +0.1 —
221 Noemi Basiletti ITA 267 270 ↓2 ▲ 179 1 1 50.0% 0 — — — — 1,537 111.6 +1.77 +1.86 0.936 50.0% -1.00 — -0.1 —
222 Jessika Ponchet FRA 269 269 ↓2 ▼ 103 0 1 0.0% 0 Q1 Q2 Q1 — 1,540 99.2 -1.33 +2.36 0.802 33.3% -0.67 — -0.2 —
223 Sada Nahimana BDI 271 267 ↓2 ▼ 52 1 1 50.0% 0 Q1 — — — 1,485 104.4 -0.94 -0.49 0.874 50.0% -0.50 — -0.1 —
224 Federica Urgesi ITA 274 263 ↑1 ▲ 175 0 1 0.0% 0 — — — — 1,530 103.6 -0.09 -1.53 0.613 0.0% -5.00 — 0.0 —
225 Mina Hodzic GER 275 262 ↑23 ▲ 171 0 1 0.0% 0 — — — — 1,517 108.0 -1.25 -2.21 0.934 33.3% -0.33 — +0.2 —
226 Elena Micic AUS 277 259 ↓4 ▲ 75 1 1 50.0% 0 Q2 — — — 1,500 111.6 -2.38 +1.30 0.909 50.0% -0.50 — +0.1 —
227 Mika Stojsavljevic GBR 278 259 ↓4 ▲ 1 0 2 0.0% 0 — — R128 — 1,491 97.0 -0.98 +1.02 0.632 0.0% -4.00 — -0.1 —
228 Berfu Cengiz TUR 279 258 ↓3 ▲ 209 0 1 0.0% 0 — — — — 1,415 98.2 +0.70 -0.34 0.791 0.0% -2.00 — +0.2 —
229 Julieta Pareja USA 288 249 ↓4 ▲ 61 1 2 33.3% 0 — — — Q3 1,587 113.2 -3.30 -0.33 0.889 42.9% -0.71 — +0.3 —
230 En-Shuo Liang TPE 289 248 ↑14 ▲ 70 0 1 0.0% 0 — — — — 1,611 104.1 -0.23 -1.37 0.792 33.3% -1.00 — +0.0 —
231 Vera Zvonareva RUS 292 247 ↓5 ▲ 65 1 2 33.3% 0 — — — — 1,648 127.3 +0.80 -0.25 0.887 28.6% -1.00 — +0.0 —
232 Yasmine Kabbaj MAR 295 245 ↓4 ▲ 132 2 1 66.7% 0 — — — — 1,526 104.1 +0.10 +1.28 1.133 71.4% +0.86 — +0.4 —
233 Chloe Paquet FRA 297 243 ↓4 ▼ 57 0 2 0.0% 0 Q2 Q1 — — 1,503 106.4 -2.51 -1.26 0.558 20.0% -2.20 — -0.2 —
234 Martha Matoula GRE 299 242 ↓3 ▲ 96 0 1 0.0% 0 — — — — 1,484 97.7 -0.90 -0.15 0.935 0.0% -2.50 — +0.2 —
235 Lisa Zaar SWE 303 237 ↓3 ▲ 125 0 1 0.0% 0 — — — — 1,422 98.4 -0.28 -2.72 0.673 0.0% -4.00 — -0.1 —
236 Olga Danilovic SRB 311 228 ↓1 ▼ 243 4 3 57.1% 0 R64 — — — 1,797 118.0 -0.93 -0.64 0.955 52.9% -0.06 — -0.1 —
237 Viktoria Morvayova SVK 312 228 ↓1 ▲ 39 0 1 0.0% 0 — — — — 1,517 106.4 +1.47 -1.92 0.705 0.0% -4.00 — -0.1 —
238 Nastasja Schunk GER 315 225 ↑50 ▼ 19 0 1 0.0% 0 — — — — 1,438 104.6 +0.57 -2.86 0.934 33.3% -1.00 — -0.1 —
239 Tereza Martincova CZE 320 220 ↓2 ▲ 149 1 2 33.3% 0 — — — — 1,581 102.9 -1.33 -1.91 0.754 28.6% -1.57 — -0.3 —
240 Miriam Bulgaru ROU 322 218 ↑1 ▼ 123 0 2 0.0% 0 Q1 Q1 — — 1,430 97.8 -1.32 -2.04 0.833 0.0% -3.00 — -0.1 —
241 Martina Trevisan ITA 325 215 ↓4 ▲ 165 0 1 0.0% 0 — Q2 — — 1,505 101.7 -2.25 +1.37 1.076 33.3% +0.33 — -0.0 —
242 Oceane Dodin FRA 329 212 ↓4 ▲ 137 1 2 33.3% 0 — Q2 Q3 — 1,539 96.5 -2.01 -1.75 0.683 33.3% -1.83 — +0.5 —
243 Tessa Johanna Brockmann GER 337 207 ↑2 ▼ 46 0 1 0.0% 0 — — — — 1,479 95.0 -3.12 -4.72 0.650 0.0% -3.50 — +0.1 —
244 Mimi Xu GBR 339 205 ↓7 ▼ 98 0 1 0.0% 0 Q1 — R128 — 1,451 94.7 +2.43 -3.69 0.841 33.3% -1.67 — 0.0 —
245 Miriana Tona ITA 359 183 ↓4 ▲ 1 1 1 50.0% 0 — — — — 1,476 96.9 -1.10 -1.00 0.769 40.0% -1.00 — +0.3 —
246 Yelyzaveta Kotliar UKR 360 183 ↓4 ▲ 139 1 1 50.0% 0 — — — — 1,505 106.6 -3.10 -1.90 0.926 50.0% -0.34 — +0.1 —
247 Aoi Ito JPN 373 174 ↓4 ▼ 206 0 3 0.0% 0 — Q2 R128 — 1,573 98.4 -1.44 -2.19 0.769 14.3% -2.14 — +0.3 —
248 Lia Karatancheva BUL 379 172 ↓3 ▼ 85 0 1 0.0% 0 — — — — 1,449 104.2 -0.49 -1.45 0.743 33.3% -1.33 — +0.1 —
249 Ariana Arseneault CAN 382 168 ↓1 ▲ 94 0 1 0.0% 0 — — — — 1,526 99.6 +0.42 -2.77 0.770 0.0% -3.00 — 0.0 —
250 Julia Stusek GER 384 168 ↓5 ▲ 57 1 1 50.0% 0 — — — — 1,489 104.4 -0.98 -1.15 0.892 50.0% -0.50 — +0.0 —
251 Carlota Martinez Cirez ESP 391 164 ↓3 ▶ 0 0 1 0.0% 0 — — — — 1,461 99.7 +0.18 -0.97 0.851 0.0% -3.00 — -0.0 —
252 Ipek Oz TUR 406 156 ↓3 ▲ 91 0 1 0.0% 0 — — — — 1,419 107.6 +1.36 -3.31 1.012 0.0% -1.00 — -0.1 —
253 Alisa Oktiabreva RUS 411 156 ↓8 ▼ 109 0 1 0.0% 0 — — — — 1,519 99.7 -2.14 -2.29 0.847 0.0% -3.00 — +0.2 —
254 Jule Niemeier GER 411 155 ↓6 ▼ 159 0 1 0.0% 0 — — — — 1,508 98.4 -0.84 -1.62 0.880 0.0% -3.00 — +0.1 —
255 Ana Sofia Sanchez MEX 413 154 ↓7 ▼ 220 0 1 0.0% 0 Q1 Q1 — — 1,321 92.9 +1.10 +0.26 0.470 0.0% -5.00 — — —
256 Clara Burel FRA 416 153 ↓6 ▲ 45 2 2 50.0% 0 — R128 — Q2 1,645 116.2 -2.89 +1.16 1.041 44.4% -0.11 — +0.2 —
257 Rebecca Marino CAN 422 150 ↓5 ▼ 221 0 1 0.0% 0 — — — Q2 1,607 104.5 +1.27 -1.69 0.905 0.0% -2.00 — -0.1 —
258 Mariam Bolkvadze GEO 423 149 ↓5 ▼ 128 1 1 50.0% 0 — — R64 Q3 1,567 108.3 -2.76 +0.90 0.742 40.0% -1.80 — +0.0 —
259 Valentina Steiner GER 427 149 ↑65 ▲ 65 0 1 0.0% 0 — — — — 1,490 100.3 -0.60 -0.99 0.938 33.3% -1.00 — +0.2 —
260 Jana Kovackova CZE 428 147 ↑6 ▲ 46 0 1 0.0% 0 — — — — 1,484 105.5 -1.16 -1.40 0.761 33.3% -1.67 — -0.1 —
261 Reese Brantmeier USA 431 145 ↓6 ▲ 52 0 1 0.0% 0 — — — — 1,474 98.9 +0.46 -2.54 0.864 0.0% -2.50 — +0.1 —
262 Carol Zhao CAN 432 141 ↓5 ▼ 107 0 1 0.0% 0 — Q1 Q1 — 1,383 99.6 -2.87 -1.22 0.779 33.3% -1.67 — -0.0 —
263 Zarina Diyas KAZ 437 135 ↓9 ▼ 147 0 1 0.0% 0 R128 — — — — — — — — — — — — —
264 Hannah Klugman GBR 439 139 ↓2 ▼ 27 1 3 25.0% 0 — — R128 — 1,507 103.5 +0.32 -0.53 0.896 33.3% -1.00 — +0.0 —
265 Anastasia Pavlyuchenkova RUS 445 135 ↓1 ▼ 401 0 6 0.0% 0 R128 — — — 1,727 114.5 -1.38 -1.87 0.702 7.7% -2.46 — -0.3 —
266 Heather Watson GBR 446 135 ↓1 ▼ 180 0 1 0.0% 0 — — Q3 Q3 1,594 109.4 -0.18 -2.68 0.695 0.0% -4.00 — +0.1 —
267 Sapfo Sakellaridi GRE 448 134 ↓2 ▼ 45 0 1 0.0% 0 — — — — 1,389 99.6 -1.27 -0.60 0.964 33.3% -1.00 — +0.2 —
268 Nadia Podoroska ARG 449 133 ↓2 ▼ 2 0 3 0.0% 0 — — R128 — 1,600 102.7 +0.22 -1.85 0.818 25.0% -1.88 — -0.1 —
269 Irina-Camelia Begu ROU 461 127 ↓4 ▼ 314 1 3 25.0% 0 — Q2 R128 — 1,724 104.1 -3.30 -1.47 0.666 22.2% -2.11 — +0.2 —
270 Venus Williams USA 469 124 ↓2 ▲ 9 0 12 0.0% 0 R128 — — R128 1,486 100.6 -2.78 -4.37 0.787 15.4% -2.35 — +0.4 —
271 Valentini Grammatikopoulou GRE 470 126 ↑87 ▼ 9 0 1 0.0% 0 — — — — 1,416 103.0 -2.94 +0.44 0.916 0.0% -1.50 — +0.0 —
272 Ayano Shimizu JPN 483 120 ↓7 ▼ 86 0 1 0.0% 0 — — — — 1,439 104.6 -0.39 -0.71 0.622 0.0% -2.50 — -0.1 —
273 Ilinca Amariei ROU 499 106 ↓2 ▼ 17 0 1 0.0% 0 — — — — 1,454 100.0 -2.67 -3.76 0.913 0.0% -1.50 — +0.1 —
274 Ana Bogdan ROU — — – — 0 1 0.0% 0 — — — — 1,591 98.6 +0.88 -0.67 0.782 0.0% -3.50 — 0.0 —
275 Brenda Fruhvirtova CZE — — – — 0 1 0.0% 0 — — — — 1,610 96.2 -0.23 -0.78 0.678 0.0% -5.00 — +0.1 —
276 Danka Kovinic MNE — — – — 0 2 0.0% 0 — R128 — — 1,546 99.4 -0.60 -0.76 0.672 0.0% -3.75 — -0.1 —
277 Diae El Jardi MAR — — – — 0 1 0.0% 0 — — — — 1,455 97.8 -0.65 -0.23 0.727 0.0% -3.00 — +0.0 —
278 Jennifer Brady USA — — – — 0 3 0.0% 0 — — — — 1,753 99.9 -0.80 -5.34 0.804 14.3% -2.00 — +0.2 —
279 Ksenia Efremova FRA — — – — 0 1 0.0% 0 Q1 R128 — — 1,471 99.6 +0.47 +2.31 0.579 0.0% -4.00 — -0.1 —
280 Marianne Argyrokastriti GRE — — – — 0 1 0.0% 0 — — — — 1,490 96.7 -2.86 +1.78 0.491 0.0% -5.00 — +0.0 —
281 Maria Torres Murcia COL — — – — 0 1 0.0% 0 — — — — 1,370 100.6 -2.89 -0.64 0.791 33.3% -2.00 — +0.0 —
282 Monique Barry NZL — — – — 0 1 0.0% 0 — — — — 1,487 99.8 -5.23 -3.61 0.557 0.0% -4.50 — -0.1 —
283 Serena Williams USA — — – — 0 1 0.0% 0 — — R128 — — — — — — — — — — —
284 Valentina Mediorreal Arias COL — — – — 0 1 0.0% 0 — — — — 1,421 93.9 -1.46 -0.41 0.574 0.0% -4.50 — +0.1 —

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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