Rankings as of: Dec 28, 2020

WTA 2020 Season Leaders & Rankings

Rankings, leaderboards, and performance stats by season.

Ashleigh Barty finished 2020 at WTA No. 1 with 8,717 points.

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Rankings Leaders

Ranking points, results, and season metrics for 2020.

226 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
1 Ashleigh Barty AUS 1 8,717 – ▶ 0 12 3 80.0% 1 SF — — — 2,083 154.1 +5.09 +2.45 1.236 67.6% +1.59 100.7 -0.7
2 Simona Halep ROU 2 7,255 – ▲ 1 23 3 88.5% 3 SF R16 — — 2,060 156.1 +3.23 +6.77 1.275 78.6% +1.82 107.1 -0.7
3 Naomi Osaka JPN 3 5,780 – ▲ 1 16 3 84.2% 1 R32 — — W 2,111 156.0 +6.66 +1.24 1.267 71.7% +1.61 103.1 -0.4
4 Sofia Kenin USA 4 5,760 – ▲ 10 23 8 74.2% 2 W F — R16 1,955 146.6 +2.59 +0.99 1.065 64.9% +0.85 107.2 +0.1
5 Elina Svitolina UKR 5 5,260 – ▶ 0 19 8 70.4% 2 R32 QF — — 1,928 129.5 +1.04 +1.65 1.059 65.5% +0.48 108.0 +0.9
6 Karolina Pliskova CZE 6 5,205 – ▼ 4 14 8 63.6% 1 R32 R64 — R64 1,916 146.8 +3.25 +0.83 1.125 58.8% +0.96 97.0 -0.2
7 Petra Kvitova CZE 8 4,516 – ▼ 1 20 7 74.1% 0 QF SF — R16 1,964 151.9 +5.00 +3.29 1.269 70.5% +1.49 101.7 +0.3
8 Kiki Bertens NED 9 4,505 – ▶ 0 13 6 68.4% 1 R16 R16 — — 1,882 144.7 +1.90 +2.64 1.150 65.1% +1.09 105.1 +1.0
9 Aryna Sabalenka BLR 10 4,220 – ▲ 1 28 9 75.7% 3 R128 R32 — R64 2,006 154.4 +3.98 +2.79 1.182 67.0% +1.13 99.3 -1.0
10 Serena Williams USA 11 4,080 – ▼ 1 16 5 76.2% 1 R32 R64 — SF 2,045 143.2 +4.70 +1.29 1.259 70.6% +1.55 97.0 +0.6
11 Belinda Bencic SUI 12 4,010 – ▼ 4 7 7 50.0% 0 R32 — — — 1,848 132.9 -0.10 -2.02 0.889 53.1% -0.50 98.8 +0.4
12 Victoria Azarenka BLR 13 3,426 – ▲ 36 19 6 76.0% 1 — R64 — F 1,959 158.3 +1.76 +5.63 1.182 69.2% +1.50 104.8 -1.1
13 Johanna Konta GBR 14 3,152 – ▼ 2 8 9 47.1% 0 R128 R128 — R64 1,828 136.4 +4.38 -1.78 1.131 50.0% +0.16 95.7 +0.3
14 Garbiñe Muguruza ESP 15 3,016 – ▲ 20 23 8 74.2% 0 F R32 — R64 1,941 154.8 +3.52 +2.81 1.175 68.0% +0.99 107.2 -1.1
15 Madison Keys USA 16 2,962 – ▼ 3 8 5 61.5% 0 R32 R128 — R32 1,869 136.6 +5.26 +1.22 1.305 65.4% +1.46 — +0.6
16 Iga Swiatek POL 17 2,960 – ▲ 42 13 5 72.2% 1 R16 W — R32 1,863 147.1 +2.15 +3.63 1.204 71.1% +1.58 — -0.1
17 Petra Martic CRO 18 2,850 – ▼ 3 14 11 56.0% 0 R64 R32 — R16 1,804 132.1 +1.70 -1.09 1.032 56.7% +0.28 98.0 +1.1
18 Elena Rybakina KAZ 19 2,696 – ▲ 17 29 11 72.5% 1 R32 R64 — R64 1,874 147.2 +4.32 +0.59 1.145 68.5% +1.08 104.7 +0.4
19 Elise Mertens BEL 20 2,650 – ▼ 3 32 13 71.1% 0 R16 R32 — QF 1,934 157.8 +3.90 +3.73 1.228 67.6% +1.38 98.9 -0.1
20 Marketa Vondrousova CZE 21 2,538 – ▼ 5 8 10 44.4% 0 R128 R128 — R64 1,796 136.2 -0.89 +2.22 1.057 50.0% +0.23 — +0.3
21 Maria Sakkari GRE 22 2,405 – ▲ 1 20 11 64.5% 0 R16 R32 — R16 1,884 152.6 +2.80 +1.40 1.098 61.8% +0.51 106.7 +0.5
22 Anett Kontaveit EST 23 2,330 – ▲ 3 20 11 64.5% 0 QF R128 — R16 1,870 153.1 +2.99 +1.93 1.143 61.6% +1.01 99.9 +0.3
23 Jennifer Brady USA 24 2,320 – ▲ 29 19 9 67.9% 1 R128 R128 — SF 1,920 159.5 +5.30 +0.74 1.159 62.5% +1.02 103.9 -1.1
24 Angelique Kerber GER 25 2,271 – ▼ 7 7 6 53.9% 0 R16 R128 — R16 1,769 128.3 -0.58 -0.32 0.999 53.6% +0.36 — +1.3
25 Alison Riske-Amritraj USA 26 2,256 – ▼ 7 6 8 42.9% 0 R16 R128 — R64 1,745 135.6 -0.19 +1.24 1.039 48.6% +0.06 96.3 0.0
26 Karolina Muchova CZE 27 2,036 – ▼ 6 7 8 46.7% 0 R64 R128 — R16 1,811 136.7 +2.75 -2.06 1.036 48.6% -0.37 — -0.0
27 Yulia Putintseva KAZ 28 2,015 – ▲ 4 15 10 60.0% 0 R32 R64 — QF 1,837 137.2 -0.85 +1.84 1.013 56.1% +0.53 103.4 +0.5
28 Dayana Yastremska UKR 29 1,925 – ▼ 7 14 12 53.9% 0 R64 R128 — R64 1,792 146.0 +1.19 -0.19 1.016 52.5% +0.16 100.7 -1.0
29 Amanda Anisimova USA 30 1,905 – ▼ 5 11 10 52.4% 0 R128 R32 — R32 1,778 138.0 -0.33 +0.69 0.973 55.6% +0.18 98.4 -0.4
30 Ons Jabeur TUN 31 1,883 – ▲ 50 21 11 65.6% 0 QF R16 — R32 1,862 150.9 +2.75 +2.22 1.107 61.0% +0.65 105.8 -0.7
31 Donna Vekic CRO 32 1,880 – ▼ 12 8 11 42.1% 0 R32 R128 — R32 1,695 131.1 +0.33 0.00 0.985 40.5% -0.26 101.7 +0.6
32 Ekaterina Alexandrova RUS 33 1,775 – ▲ 1 19 12 61.3% 1 R32 R32 — R64 1,797 144.5 +1.94 +1.67 1.103 58.0% +0.55 101.2 -0.3
33 Qiang Wang CHN 34 1,706 – ▼ 6 7 6 53.9% 0 R16 — — — 1,765 129.1 +2.56 +1.23 1.073 53.3% +0.03 98.7 +0.4
34 Shuai Zhang CHN 35 1,693 – ▲ 3 12 10 54.5% 0 R32 R16 — R128 1,733 131.8 0.00 +0.35 1.003 52.0% -0.06 104.9 -0.1
35 Svetlana Kuznetsova RUS 36 1,631 – ▲ 15 8 7 53.3% 0 R64 R128 — — 1,797 138.9 +1.05 +0.87 1.039 48.5% +0.15 99.3 -0.8
36 Caroline Wozniacki DEN 36 1,463 – ▲ 3 5 2 71.4% 0 R32 — — — 1,852 131.5 +2.36 +2.51 1.397 70.6% +1.71 — +0.2
37 Barbora Strycova CZE 37 1,630 – ▼ 6 5 9 35.7% 0 R128 R64 — — 1,680 123.1 -1.62 -0.90 0.894 34.4% -0.91 102.3 +0.2
38 Anastasia Pavlyuchenkova RUS 38 1,630 – ▼ 9 9 8 52.9% 0 QF R64 — — 1,802 141.4 +0.01 +2.18 1.037 50.0% +0.20 102.3 -0.9
39 Sloane Stephens USA 39 1,573 – ▼ 15 4 11 26.7% 0 R128 R64 — R32 1,641 114.3 +0.15 -1.60 0.922 37.8% -0.68 — +1.6
40 Magda Linette POL 40 1,573 – ▲ 3 11 11 50.0% 1 R128 R128 — R32 1,722 127.0 +0.87 -1.08 0.968 50.0% +0.06 98.1 +0.7
41 Saisai Zheng CHN 41 1,510 – ▼ 1 6 4 60.0% 0 R64 — — — 1,768 132.2 +0.85 +2.96 1.090 58.3% +0.58 — +0.0
42 Fiona Ferro FRA 42 1,497 – ▲ 20 11 4 73.3% 1 R64 R16 — — 1,767 127.0 -0.37 +2.59 1.053 63.6% +0.94 104.9 -0.6
43 Caroline Garcia FRA 43 1,495 – ▲ 3 11 11 50.0% 0 R64 R16 — R32 1,745 124.7 +0.99 -2.03 0.927 47.2% -0.45 102.9 +0.4
44 Jelena Ostapenko LAT 44 1,485 – ▲ 1 8 7 53.3% 0 R64 R32 — — 1,794 129.8 -1.03 +3.31 1.046 50.0% +0.33 — -0.1
45 Danielle Collins USA 45 1,475 – ▼ 18 10 6 62.5% 0 R64 QF — R128 1,812 147.3 +3.14 +1.35 1.131 60.0% +0.85 — -1.3
46 Julia Goerges GER 45 1,483 – ▼ 4 6 6 50.0% 0 R32 R64 — — 1,763 128.3 +1.47 -1.09 1.038 50.0% +0.29 97.9 -0.1
47 Veronika Kudermetova RUS 46 1,453 – ▼ 4 13 12 52.0% 0 R128 R64 — R128 1,802 141.5 +0.67 -0.65 0.970 49.2% -0.37 106.7 -0.5
48 Nadia Podoroska ARG 47 1,407 – ▲ 208 7 4 63.6% 0 — SF — — 1,736 123.1 -2.40 +1.52 0.955 56.0% +0.04 — -0.2
49 Coco Gauff USA 48 1,364 – ▲ 19 10 8 55.6% 0 R16 R64 — R128 1,782 144.9 +0.78 +0.22 1.007 57.8% +0.27 100.2 -1.1
50 Polona Hercog SLO 49 1,335 – ▼ 1 6 8 42.9% 0 R64 R64 — — 1,684 125.8 +0.14 +0.43 0.991 48.5% -0.03 — +0.3
51 Kristina Mladenovic FRA 50 1,335 – ▼ 13 4 9 30.8% 0 R128 R128 — R64 1,715 122.9 -2.25 +0.20 0.897 38.7% -1.06 93.8 -0.0
52 Laura Siegemund GER 51 1,331 – ▲ 22 11 8 57.9% 0 R64 QF — R128 1,789 142.4 +0.10 +1.20 1.003 52.3% +0.30 — -1.1
53 Marie Bouzkova CZE 52 1,314 – ▲ 8 9 10 47.4% 0 R128 R128 — R128 1,716 141.5 +0.80 +1.18 1.028 52.3% +0.16 — -1.0
54 Alizé Cornet FRA 53 1,290 – ▲ 4 13 9 59.1% 0 R64 R64 — R16 1,771 138.5 +0.58 +1.50 1.044 55.3% +0.64 103.6 +0.2
55 Anastasija Sevastova LAT 54 1,288 – ▼ 24 1 9 10.0% 0 R128 — — R64 1,649 114.7 -2.98 -3.36 0.751 13.6% -2.27 — -0.1
56 Rebecca Peterson SWE 55 1,255 – ▼ 11 3 10 23.1% 0 R128 R128 — R128 1,697 103.7 -2.62 -2.51 0.819 20.8% -2.08 — +0.3
57 Patricia Maria Tig ROU 56 1,229 – ▲ 57 11 5 68.8% 1 — R32 — R64 1,727 126.3 -0.51 +3.24 1.123 65.7% +1.06 — +1.2
58 Jil Teichmann SUI 57 1,206 – ▲ 11 9 12 42.9% 0 R128 R128 — R128 1,671 133.5 +0.65 +1.84 1.092 51.1% +0.29 — -0.2
59 Heather Watson GBR 58 1,156 – ▲ 44 9 8 52.9% 1 R64 R128 — R128 1,663 126.5 -0.35 +0.15 0.950 51.2% -0.10 101.7 -0.0
60 Katerina Siniakova CZE 59 1,135 – ▼ 4 6 13 31.6% 0 R128 R32 — R128 1,701 130.6 -3.03 -0.58 0.836 33.3% -1.10 — -1.4
61 Shelby Rogers USA 60 1,134 – ▲ 114 8 6 57.1% 0 R128 R128 — QF 1,679 132.2 +1.94 -0.55 0.967 51.5% -0.12 106.2 +0.5
62 Anna Blinkova RUS 61 1,114 – ▼ 3 6 8 42.9% 0 R64 R128 — R128 1,684 119.6 -2.34 +1.29 0.961 43.8% -0.31 — -0.0
63 Bernarda Pera USA 62 1,105 – ▲ 3 5 10 33.3% 0 R128 R64 — R64 1,668 133.5 -1.33 -0.42 0.907 41.7% -0.67 95.6 -1.4
64 Jessica Pegula USA 63 1,103 – ▲ 19 10 6 62.5% 0 R128 R128 — R32 1,788 143.1 +1.44 +2.30 1.059 51.4% +0.17 107.9 -1.4
65 Alison Van Uytvanck BEL 64 1,095 – ▼ 17 7 11 38.9% 0 R128 R64 — R128 1,674 126.9 +0.77 -1.27 0.995 46.3% -0.07 96.2 +0.1
66 Barbora Krejcikova CZE 65 1,071 – ▲ 66 9 5 64.3% 0 R64 R16 — — 1,699 133.2 +1.74 +1.17 1.071 59.5% +0.38 — +0.3
67 Sara Sorribes Tormo ESP 66 1,040 – ▲ 24 7 12 36.8% 0 R64 R128 — R64 1,676 134.0 -3.76 +2.81 0.941 41.9% -0.63 — -0.7
68 Su-Wei Hsieh TPE 67 1,035 – ▼ 34 1 7 12.5% 0 R128 R64 — — 1,706 118.1 -2.64 +0.13 0.796 17.6% -2.35 — -0.5
69 Ajla Tomljanovic AUS 68 1,035 – ▼ 14 5 11 31.2% 0 R64 R128 — R128 1,615 130.7 +0.18 -1.12 0.935 36.8% -0.79 99.6 -0.5
70 Kristyna Pliskova CZE 69 1,020 – ▼ 3 9 8 52.9% 0 R128 R64 — R128 1,667 130.6 +2.84 -2.53 0.976 54.1% +0.22 — +0.2
71 Paula Badosa ESP 70 1,018 – ▲ 25 7 4 63.6% 0 R64 R16 — R128 1,664 124.1 +1.36 +1.56 1.149 56.0% +0.92 — +1.0
72 Sorana Cirstea ROU 71 999 – ▲ 3 4 8 33.3% 0 R64 R128 — R32 1,658 127.1 -1.60 -0.28 0.877 39.3% -0.96 — -0.1
73 Daria Kasatkina AUS 72 985 – ▼ 2 8 12 40.0% 0 R128 R64 — R128 1,772 138.1 -3.24 +3.53 0.976 43.5% -0.20 — -0.9
74 Nao Hibino JPN 73 973 – ▲ 32 9 6 60.0% 0 R64 R64 — R128 1,647 124.3 +0.36 +2.53 1.079 57.6% +0.73 104.2 +0.2
75 Arantxa Rus NED 74 971 – ▲ 17 8 10 44.4% 0 R64 R128 — R128 1,667 133.9 -0.23 -0.73 0.949 47.5% -0.15 95.4 -0.3
76 Lauren Davis USA 75 967 – ▼ 12 5 9 35.7% 0 R64 R128 — R128 1,622 118.4 -2.04 -0.34 0.923 40.6% -0.75 96.2 -0.2
77 Camila Giorgi ITA 76 958 – ▲ 23 10 9 52.6% 0 R32 R128 — R64 1,736 130.8 +0.83 -1.43 0.968 53.2% -0.11 104.5 -0.9
78 Danka Kovinic MNE 77 942 – ▲ 6 5 7 41.7% 0 R128 R128 — R64 1,633 123.6 +1.55 -0.81 0.969 46.4% -0.29 — -0.2
79 Irina-Camelia Begu ROU 78 932 – ▲ 23 5 8 38.5% 0 R128 R64 — R128 1,712 131.3 +0.09 -0.90 0.898 34.5% -0.65 — -0.9
80 Venus Williams USA 79 929 – ▼ 23 1 8 11.1% 0 R128 R128 — R128 1,713 126.0 +0.01 -0.68 0.905 27.3% -1.14 90.8 -1.1
81 Zarina Diyas KAZ 80 928 – ▼ 5 5 6 45.5% 0 R32 R128 — R128 1,659 115.9 -0.51 +0.34 0.969 44.8% -0.24 98.0 -0.4
82 Christina Mchale USA 81 909 – ▲ 5 6 8 42.9% 0 R128 R64 — R128 1,675 129.3 -0.85 -0.02 0.915 45.5% -0.55 — -0.9
83 Madison Brengle USA 82 906 – ▲ 11 2 4 33.3% 0 R128 R128 — R32 1,644 121.9 -2.92 +1.95 0.947 42.9% -1.07 — -0.1
84 Misaki Doi JPN 83 896 – ▼ 3 1 8 11.1% 0 R128 R128 — R128 1,572 110.0 -2.38 -1.23 0.819 29.2% -1.38 — +0.6
85 Carla Suárez Navarro ESP 84 881 – ▼ 32 2 3 40.0% 0 R64 — — — 1,716 126.2 +1.52 +0.87 0.929 50.0% -0.50 — -0.5
86 Martina Trevisan ITA 85 879 – ▲ 69 4 2 66.7% 0 R128 QF — — 1,585 114.3 -1.53 +3.00 0.957 50.0% -0.58 — -0.5
87 Kirsten Flipkens BEL 86 878 – ▼ 14 2 8 20.0% 0 R128 R128 — R64 1,703 122.1 -2.05 -2.49 0.817 30.4% -1.48 96.7 -0.6
88 Tamara Zidansek SLO 87 840 – ▼ 23 6 9 40.0% 0 R64 R128 — — 1,613 128.8 -0.74 +0.40 0.974 47.2% -0.06 96.1 -0.4
89 Leylah Fernandez CAN 88 838 – ▲ 121 10 7 58.8% 0 R128 R32 — R64 1,682 134.6 +0.76 +1.49 1.077 56.4% +0.56 103.8 -0.4
90 Taylor Townsend USA 89 836 – ▼ 12 1 3 25.0% 0 R64 — — R128 1,627 106.3 +0.06 -1.17 0.878 33.3% -1.00 — +0.0
91 Aliaksandra Sasnovich BLR 90 833 – ▼ 21 10 9 52.6% 0 R128 R64 — R32 1,733 129.5 -0.26 +1.90 1.048 50.0% +0.48 98.5 +0.5
92 Lin Zhu CHN 91 830 – ▼ 20 4 5 44.4% 0 R64 — — — 1,605 108.9 -2.09 -0.72 0.923 47.6% -0.62 — +0.7
93 Ana Bogdan ROU 92 805 – ▲ 5 3 3 50.0% 0 — R64 — — 1,588 111.9 -1.15 +1.83 1.207 60.0% +0.80 — +0.3
94 Kaia Kanepi EST 93 804 – ▲ 7 2 3 40.0% 0 R128 R64 — R64 1,729 113.7 +0.66 +1.49 1.042 41.7% +0.17 — -0.2
95 Varvara Gracheva FRA 94 798 – ▲ 13 3 4 42.9% 0 — R128 — R32 1,557 117.0 -0.72 -0.30 0.927 40.0% -0.67 — -0.1
96 Yafan Wang CHN 95 795 – ▼ 45 3 6 33.3% 0 R128 — — — 1,667 112.2 -0.43 +0.38 0.936 36.4% -0.59 97.9 +0.0
97 Jasmine Paolini ITA 96 785 – ▼ 2 4 8 33.3% 0 R128 R64 — R128 1,550 117.8 -2.87 +2.21 0.937 33.3% -0.85 — -0.5
98 Viktoria Hruncakova SVK 97 775 – ▼ 36 3 9 25.0% 0 R128 R128 — R128 1,570 104.3 -3.58 -4.07 0.713 25.0% -1.93 — +0.8
99 Ann Li USA 98 767 – ▲ 47 3 4 42.9% 0 R64 — — R32 1,613 127.7 -1.21 -0.60 0.898 40.0% -0.60 — +0.1
100 Marta Kostyuk UKR 99 767 – ▲ 57 2 5 28.6% 0 — R128 — R32 1,661 127.8 -0.40 -0.50 0.959 37.5% -0.88 — -0.2
101 Nina Stojanovic SRB 100 761 – ▼ 15 0 6 0.0% 0 R128 R128 — R128 1,529 104.0 -1.97 -2.04 0.807 7.7% -2.15 — +0.5
102 Anastasia Potapova AUT 101 759 – ▼ 5 6 4 60.0% 0 R128 — — — 1,685 126.6 -0.49 +1.81 1.046 54.2% +0.17 104.7 +0.3
103 Andrea Petkovic GER 102 750 – ▼ 26 0 1 0.0% 0 — R128 — — 1,700 98.6 -0.48 +2.36 0.665 0.0% -3.00 — -0.0
104 Aliona Bolsova ESP 103 741 – ▲ 12 2 4 33.3% 0 — R128 — R64 1,563 109.7 -0.86 -0.91 0.822 35.7% -1.14 — +0.3
105 Kaja Juvan SLO 104 733 – ▲ 22 4 7 36.4% 0 R128 R64 — R64 1,621 117.4 -3.28 +0.38 0.894 40.7% -0.96 100.8 -0.4
106 Monica Puig PUR 105 722 – ▼ 27 0 2 0.0% 0 — R128 — R128 1,623 94.4 -0.47 -3.91 0.644 20.0% -3.40 — +0.3
107 Kateryna Baindl UKR 106 718 – ▼ 17 2 6 25.0% 0 R128 R128 — R64 1,623 122.7 -1.33 -0.67 0.920 36.8% -0.68 — +0.2
108 Oceane Dodin FRA 107 706 – ▲ 52 7 7 50.0% 0 — R128 — R128 1,684 134.9 +1.39 -1.93 0.912 51.7% -0.24 101.7 -0.9
109 Kristie Ahn USA 108 703 – ▼ 16 0 5 0.0% 0 R128 R128 — R128 1,630 119.9 -0.89 -0.51 0.713 0.0% -3.38 — -0.9
110 Tatjana Maria GER 109 702 – ▼ 25 2 5 28.6% 0 R128 — — R128 1,586 109.8 -3.38 -1.03 0.757 25.0% -2.19 — -0.8
111 Greet Minnen BEL 110 684 – ▼ 1 2 8 20.0% 0 R64 R128 — R128 1,583 120.0 -0.15 -2.57 0.828 26.1% -1.22 97.0 -0.6
112 Anna-Lena Friedsam GER 111 680 – ▲ 30 5 4 55.6% 0 — R128 — R64 1,646 124.1 +2.54 -0.84 1.162 54.5% +0.46 — +0.3
113 Samantha Stosur AUS 112 667 – ▼ 14 1 3 25.0% 0 R128 — — — 1,607 111.3 -1.57 -0.87 0.795 25.0% -2.25 — -0.1
114 Katarzyna Kawa POL 113 656 – ▲ 12 1 3 25.0% 0 — — — R128 1,555 109.2 -1.65 +0.12 0.833 22.2% -1.11 — -0.0
115 Anna Kalinskaya RUS 114 650 – ▼ 10 1 6 14.3% 0 R128 R128 — R64 1,598 114.2 -1.46 -3.46 0.706 14.3% -2.00 — +0.1
116 Timea Babos HUN 115 650 – ▼ 28 0 6 0.0% 0 R128 R128 — R128 1,540 108.8 +0.56 -3.13 0.694 7.7% -2.85 — -0.1
117 Stefanie Voegele SUI 116 648 – ▲ 1 1 5 16.7% 0 — R128 — R128 1,602 112.7 -0.73 -1.09 0.854 28.6% -1.57 — +0.0
118 Shuai Peng CHN 117 642 – ▼ 9 2 3 40.0% 0 R128 — — — 1,627 111.9 +1.00 -0.04 1.097 41.7% 0.00 — +0.3
119 Katarina Zavatska UKR 118 638 – ▼ 12 0 5 0.0% 0 — R128 — R128 1,458 100.8 -2.62 -0.53 0.728 9.1% -3.00 — -0.0
120 Irina Bara ROU 119 636 – ▲ 42 3 2 60.0% 0 — R32 — — 1,598 103.6 -0.74 +0.59 1.053 44.4% -0.89 — -0.0
121 Tereza Martincova CZE 120 633 – ▲ 14 5 6 45.5% 0 — — — R128 1,655 123.4 -0.98 -0.18 0.963 52.0% +0.16 — +0.8
122 Caty Mcnally USA 121 632 – ▼ 3 3 5 37.5% 0 R64 — — R32 1,593 121.7 -1.77 -1.46 0.817 35.3% -1.12 — -0.1
123 Ysaline Bonaventure BEL 122 632 – ▼ 6 2 3 40.0% 0 — — — R64 1,587 117.1 -0.95 +0.45 0.969 41.7% -0.33 — -0.0
124 Xiyu Wang CHN 123 623 – ▲ 17 6 3 66.7% 0 — — — — 1,642 128.8 +2.08 -0.04 1.144 61.9% +1.14 101.4 0.0
125 Vitalia Diatchenko RUS 124 619 – ▼ 36 0 5 0.0% 0 R128 R128 — — 1,552 115.6 -2.98 +0.30 0.739 16.7% -1.92 — -0.4
126 Margarita Gasparyan RUS 125 601 – ▼ 22 2 5 28.6% 0 R128 R128 — R64 1,604 116.6 -2.26 +0.47 0.833 30.8% -0.92 — -0.6
127 Tamara Korpatsch GER 126 601 – ▼ 16 0 2 0.0% 0 — R128 — R128 1,557 106.3 -1.12 -2.56 0.644 20.0% -3.20 — -0.2
128 Liudmila Samsonova RUS 127 593 – ▲ 2 2 6 25.0% 0 R128 R128 — R128 1,621 122.2 -0.37 -1.05 0.867 31.6% -1.37 — -0.4
129 Mayar Sherif EGY 128 591 – ▲ 64 0 2 0.0% 0 — R128 — — 1,552 115.6 +0.01 -0.49 0.708 33.3% -2.34 — -0.3
130 Astra Sharma AUS 129 589 – ▼ 18 2 5 28.6% 0 R128 R64 — R128 1,573 117.4 -0.23 -2.56 0.846 38.9% -0.95 — -0.3
131 Maddison Inglis AUS 130 586 – ▶ 0 0 2 0.0% 0 — R128 — R128 1,444 97.5 -1.27 +0.38 0.766 20.0% -2.20 — -0.1
132 Sara Errani ITA 131 584 – ▲ 63 4 3 57.1% 0 — R64 — — 1,606 122.5 -2.17 +3.15 1.053 55.6% +0.06 — -0.1
133 Elisabetta Cocciaretto ITA 132 583 – ▲ 44 2 3 40.0% 0 R128 — — — 1,590 108.7 -1.04 -0.66 0.877 45.5% -1.27 — -0.3
134 Catherine Bellis USA 133 580 – ▲ 722 7 7 50.0% 0 R32 R128 — R64 1,767 127.9 -1.33 +1.66 0.990 48.5% -0.27 100.9 +0.2
135 Olga Govortsova BLR 134 570 – ▲ 56 3 3 50.0% 0 — — — R64 1,547 120.6 -0.02 +0.59 1.063 50.0% +0.36 — +0.4
136 Anna Karolina Schmiedlova SVK 135 566 – ▼ 2 4 5 44.4% 0 R128 R32 — — 1,677 118.9 -2.76 +0.91 0.934 45.5% -0.54 — -0.5
137 Tsvetana Pironkova BUL 136 560 – ▲ 20 6 2 75.0% 0 — R32 — QF 1,712 134.0 +3.11 +2.53 1.245 70.6% +1.23 — +0.1
138 Mihaela Buzarnescu ROU 137 558 – ▼ 25 0 1 0.0% 0 — — — R128 1,622 99.7 -2.53 -0.84 0.712 0.0% -3.00 — +0.1
139 Viktorija Golubic SUI 138 556 – ▼ 59 0 3 0.0% 0 R128 — — R128 1,593 112.9 -1.93 -1.00 0.798 25.0% -1.50 — +0.2
140 Viktoriya Tomova BUL 139 555 – ▲ 7 1 3 25.0% 0 — — — R128 1,526 109.2 -2.67 +0.48 0.848 30.0% -0.70 — +0.0
141 Lizette Cabrera AUS 140 544 – ▼ 8 2 3 40.0% 0 R128 — — R128 1,422 108.0 -1.19 +1.47 1.033 42.9% -0.07 100.6 +0.2
142 Eugenie Bouchard CAN 141 533 – ▲ 121 10 4 71.4% 0 — R32 — — 1,713 127.8 +1.82 +1.44 1.130 65.7% +1.00 100.7 +0.4
143 Renata Zarazua MEX 142 531 – ▲ 118 4 2 66.7% 0 — R64 — — 1,583 113.8 +0.67 +1.66 1.164 60.0% +1.27 — +0.5
144 Francesca Di Lorenzo USA 143 529 – ▼ 22 0 3 0.0% 0 — — — R128 1,472 99.7 -0.42 -2.04 0.782 25.0% -1.88 — -0.1
145 Monica Niculescu ROU 144 519 – ▼ 17 0 2 0.0% 0 R128 R128 — — 1,586 99.7 -1.05 +1.06 0.754 33.3% -2.34 — -0.1
146 Natalia Vikhlyantseva RUS 145 519 – ▼ 31 0 1 0.0% 0 — — — R128 1,575 106.6 -0.44 +0.12 0.910 0.0% -2.50 — +0.3
147 Lesia Tsurenko UKR 146 507 – ▼ 27 1 3 25.0% 0 R128 — — — 1,766 118.5 +0.32 +2.54 0.856 42.9% -1.14 — -0.9
148 Kristina Kucova SVK 147 502 – ▲ 26 0 1 0.0% 0 — — — — 1,628 99.0 -1.17 +0.49 0.714 0.0% -3.00 — +0.0
149 Priscilla Hon AUS 148 500 – ▼ 26 1 5 16.7% 0 R64 — — — 1,572 111.1 -3.18 -1.68 0.762 23.1% -2.00 — +0.4
150 Barbara Haas AUT 149 500 – ▼ 5 1 4 20.0% 0 — R128 — R128 1,501 104.1 -2.86 -2.82 0.655 18.2% -2.54 — 0.0
151 Harriet Dart GBR 150 497 – ▲ 21 1 1 50.0% 0 R64 — — — 1,531 107.7 +0.76 +0.07 0.872 40.0% -1.40 — -0.0
152 Caroline Dolehide USA 151 493 – ▼ 8 1 4 20.0% 0 — — — R128 1,510 111.5 -0.99 -0.71 0.892 33.3% -1.08 — +0.1
153 Clara Tauson DEN 152 480 – ▲ 119 1 1 50.0% 0 — R64 — — 1,533 98.2 -0.96 +2.49 0.735 40.0% -1.20 — -0.2
154 Xinyu Wang CHN 153 471 – ▶ 0 0 2 0.0% 0 — — — — 1,474 101.5 +0.19 -0.42 0.547 20.0% -3.00 — -0.0
155 Usue Maitane Arconada USA 154 469 – ▼ 19 0 3 0.0% 0 — — — R128 1,541 108.1 -2.27 -1.04 0.819 14.3% -1.86 — 0.0
156 Kamilla Rakhimova UZB 155 467 – ▲ 36 1 1 50.0% 0 — R64 — — 1,463 104.2 -0.25 +2.31 1.155 50.0% +0.50 — -0.1
157 Magdalena Frech POL 156 466 – ▲ 31 2 2 50.0% 0 — — — — 1,573 114.7 -0.64 -0.12 0.885 50.0% -0.80 — +0.1
158 Leonie Kung SUI 157 466 – ▲ 176 5 2 71.4% 0 — — — — 1,574 122.0 -0.05 +1.56 1.143 64.7% +1.06 — +0.7
159 Sachia Vickery USA 158 460 – ▼ 3 1 1 50.0% 0 — — — R64 1,583 109.3 +1.68 +1.36 1.170 60.0% +0.40 — +0.1
160 Elena-Gabriela Ruse ROU 159 454 – ▲ 23 0 1 0.0% 0 — — — — 1,596 103.9 -0.65 -1.59 0.886 0.0% -2.00 — +0.2
161 Kurumi Nara JPN 160 449 – ▼ 22 0 1 0.0% 0 — — — R128 1,559 96.2 +1.91 -1.68 0.474 0.0% -5.50 — +0.1
162 Whitney Osuigwe USA 161 447 – ▼ 25 0 1 0.0% 0 — — — R128 1,435 92.3 -0.73 -1.86 0.807 0.0% -2.50 — +0.1
163 Anhelina Kalinina UKR 163 441 – ▼ 5 0 2 0.0% 0 — — — R128 1,557 121.9 -0.21 +2.55 0.686 20.0% -2.60 — -0.4
164 Vera Zvonareva RUS 164 440 – ▲ 57 4 6 40.0% 0 — — — R128 1,733 131.1 +1.29 -1.13 0.967 43.5% -0.48 — -0.0
165 Lara Arruabarrena ESP 165 438 – ▼ 13 0 1 0.0% 0 — — — — 1,544 107.8 -0.30 -1.56 0.877 0.0% -2.00 — 0.0
166 Yanina Wickmayer BEL 166 435 – ▼ 17 0 1 0.0% 0 — — — R128 1,578 101.7 -0.40 +1.21 0.717 0.0% -4.00 — -0.2
167 Giulia Gatto-Monticone ITA 167 432 – ▼ 16 0 1 0.0% 0 — — — — 1,501 100.3 +1.05 -0.20 0.964 33.3% -0.67 — 0.0
168 Jaqueline Cristian ROU 168 432 – ▲ 40 1 1 50.0% 0 — — — — 1,528 117.8 +0.01 +0.70 1.318 60.0% +1.40 — -0.1
169 Arina Rodionova AUS 169 428 – ▲ 33 2 4 33.3% 0 R64 — — R128 1,504 110.5 -3.71 -0.07 0.801 30.8% -1.23 — +0.1
170 Mandy Minella LUX 170 428 – ▼ 28 0 1 0.0% 0 — — — — 1,535 101.2 -3.10 +0.34 0.804 0.0% -2.00 — +0.1
171 Nicole Gibbs USA 172 421 – ▼ 48 0 1 0.0% 0 — — — — 1,573 109.7 -1.74 +0.55 0.883 33.3% -1.00 — +0.1
172 Pauline Parmentier FRA 173 418 – ▼ 45 0 4 0.0% 0 R128 R128 — — 1,540 98.6 -2.06 -1.56 0.767 11.1% -2.22 — -0.4
173 Varvara Flink RUS 174 415 – ▼ 51 0 2 0.0% 0 — — — — 1,508 100.2 -1.17 -1.91 0.805 0.0% -3.00 — +0.2
174 Lesley Pattinama Kerkhove NED 176 405 – ▼ 11 0 1 0.0% 0 — — — — 1,478 96.7 -4.97 -3.54 0.752 33.3% -1.33 — +0.1
175 Allie Kiick USA 177 404 – ▼ 38 0 1 0.0% 0 — — — R128 1,465 92.2 -1.13 -2.38 0.709 33.3% -1.67 — +0.2
176 Cagla Buyukakcay TUR 178 403 – ▼ 1 0 2 0.0% 0 — — — — 1,560 107.9 -2.62 +0.10 0.777 20.0% -1.20 — -0.1
177 Antonia Lottner GER 179 395 – ▼ 22 0 2 0.0% 0 R128 — — — 1,613 105.9 -1.71 -0.85 0.684 0.0% -3.50 — -0.2
178 Ankita Raina IND 180 395 – ▼ 2 0 1 0.0% 0 — — — — 1,412 95.6 -2.20 -1.72 0.706 33.3% -2.67 — +0.1
179 Varvara Lepchenko USA 181 393 – ▼ 11 0 2 0.0% 0 — R128 — — 1,483 108.5 -2.16 -1.70 0.843 0.0% -2.75 — -0.1
180 Olga Danilovic SRB 183 384 – ▲ 2 0 1 0.0% 0 — — — — 1,539 111.5 +2.29 +0.58 0.919 0.0% -2.50 — +0.0
181 Xiaodi You CHN 185 374 – ▲ 30 1 1 50.0% 0 — — — — 1,491 99.3 +0.25 -0.36 0.899 50.0% -0.75 — +0.2
182 Chloe Paquet FRA 187 359 – ▼ 21 0 3 0.0% 0 — R128 — — 1,521 103.9 -2.49 -0.45 0.879 25.0% -1.00 — +0.1
183 Natalija Stevanovic SRB 191 350 – ▼ 11 0 1 0.0% 0 — — — — 1,447 100.2 +0.68 -0.01 0.746 0.0% -3.50 — -0.1
184 Asia Muhammad USA 198 342 – ▲ 16 0 1 0.0% 0 — — — R128 1,462 95.7 -0.35 -1.40 0.430 0.0% -4.50 — +0.2
185 Bibiane Schoofs NED 199 336 – ▼ 13 0 1 0.0% 0 — — — — 1,468 105.5 +0.19 +0.54 0.774 0.0% -3.00 — -0.2
186 Na Lae Han KOR 204 324 – ▼ 25 0 1 0.0% 0 R128 — — — 1,438 96.5 -1.03 -1.27 0.685 0.0% -3.00 — +0.1
187 Xinyun Han CHN 207 318 – ▼ 23 0 1 0.0% 0 — — — — 1,483 103.6 -0.87 +0.16 0.527 0.0% -5.00 — -0.1
188 Jana Fett CRO 209 315 – ▲ 31 1 1 50.0% 0 — — — — 1,523 109.7 +1.65 -0.17 1.192 33.3% -1.67 — -0.1
189 Chihiro Muramatsu JPN 211 313 – ▲ 17 0 1 0.0% 0 — — — — 1,545 102.7 -3.20 -3.14 0.945 33.3% -0.67 — +0.2
190 Pemra Ozgen TUR 212 312 – ▼ 1 0 1 0.0% 0 — — — — 1,439 93.1 -2.51 -3.26 0.590 0.0% -5.00 — +0.1
191 Coco Vandeweghe USA 214 307 – ▲ 24 0 2 0.0% 0 R128 — — — 1,624 102.4 -0.35 -1.49 0.835 20.0% -1.80 — -0.1
192 Anastasiya Komardina RUS 216 300 – ▲ 28 0 1 0.0% 0 — — — — 1,440 98.5 -0.40 +0.84 0.455 0.0% -4.00 — 0.0
193 Claire Liu USA 218 299 – ▲ 98 0 1 0.0% 0 — — — R128 1,502 97.4 +1.47 -4.29 0.817 0.0% -3.00 — +0.1
194 En-Shuo Liang TPE 223 289 – ▼ 4 1 1 50.0% 0 — — — — 1,565 110.5 +0.80 +0.12 1.307 50.0% +1.00 — +0.2
195 Julia Grabher AUT 226 286 – ▲ 1 0 1 0.0% 0 — — — — 1,438 — -1.62 -1.18 1.062 — — — 0.0
196 Yue Yuan CHN 229 284 – ▼ 6 0 1 0.0% 0 — — — — 1,421 95.8 -1.68 -1.30 0.273 0.0% -5.50 — +0.0
197 Hailey Baptiste USA 232 282 – ▼ 3 0 1 0.0% 0 — — — R128 1,493 101.0 -2.07 -2.55 0.675 0.0% -3.00 — -0.1
198 Harmony Tan FRA 234 282 – ▲ 14 0 2 0.0% 0 — R128 — — 1,490 103.2 -0.90 -1.28 0.736 20.0% -2.80 — -0.0
199 Ellen Perez AUS 235 279 – ▲ 12 0 3 0.0% 0 — — — — 1,525 106.9 -0.14 -1.53 0.818 14.3% -2.29 — +0.1
200 Clara Burel FRA 236 278 – ▲ 541 3 3 50.0% 0 — R32 — — 1,533 103.7 -1.75 +1.07 0.997 42.9% 0.00 — +0.4
201 Johanna Larsson SWE 236 250 – ▼ 23 0 1 0.0% 0 R128 — — — 1,543 90.5 +0.79 -0.26 0.507 0.0% -5.50 — +0.1
202 Ulrikke Eikeri NOR 260 245 ↓1 ▼ 15 0 1 0.0% 0 — — — — 1,441 98.8 -3.27 -4.14 0.842 0.0% -2.50 — +0.1
203 Storm Hunter AUS 283 222 ↓1 ▲ 95 1 3 25.0% 0 — — — — 1,562 98.0 -2.96 -1.94 0.596 25.0% -3.13 — -0.0
204 Peangtarn Plipuech THA 284 220 ↓1 ▲ 6 1 1 50.0% 0 — — — — 1,460 98.0 -0.39 -2.22 0.682 40.0% -2.20 — +0.1
205 Kateryna Volodko UKR 285 219 ↓1 ▲ 883 5 8 38.5% 0 R128 — — R64 1,519 114.3 -2.12 -1.71 0.910 38.7% -0.32 98.3 +0.8
206 Vera Lapko BLR 295 207 ↓2 ▲ 29 1 2 33.3% 0 — — — R64 1,529 107.4 -1.54 -1.54 0.809 28.6% -1.57 — 0.0
207 Myrtille Georges FRA 298 204 ↓2 ▼ 24 0 1 0.0% 0 — — — — 1,454 92.6 -1.27 -2.35 0.609 0.0% -4.50 — -0.0
208 Diane Parry FRA 301 200 ↑2 ▲ 37 0 1 0.0% 0 — R128 — — 1,464 97.7 -0.30 -1.23 0.727 0.0% -3.00 — 0.0
209 Katie Volynets USA 316 180 ↓1 ▲ 78 1 1 50.0% 0 — — — — 1,459 100.3 -0.09 +1.26 1.043 60.0% -0.20 — +0.1
210 Bethanie Mattek-Sands USA 338 156 – ▲ 35 0 1 0.0% 0 — — — — 1,609 112.8 -0.17 +0.01 0.752 0.0% -3.00 — +0.2
211 Katie Boulter GBR 365 131 – ▼ 47 1 2 33.3% 0 R128 — — — 1,613 109.1 -0.24 -1.93 0.856 28.6% -0.57 — -0.1
212 Maria Sharapova RUS 373 122 – ▼ 226 0 2 0.0% 0 R128 — — — 1,837 108.1 +0.15 +0.49 0.806 20.0% -1.60 — -0.1
213 Berfu Cengiz TUR 386 125 ↑16 ▲ 69 0 1 0.0% 0 — — — — 1,467 100.0 +0.80 -2.25 0.666 0.0% -3.50 — -0.0
214 Robin Montgomery USA 413 113 ↓1 ▲ 184 0 1 0.0% 0 — — — R128 1,474 101.9 -0.63 -1.27 0.607 0.0% -4.00 — -0.1
215 Paige Mary Hourigan NZL 434 103 – ▲ 13 0 1 0.0% 0 — — — — 1,462 100.4 +0.37 -0.07 0.100 0.0% -5.50 — -0.1
216 Katrina Scott USA 449 96 – ▲ 176 1 1 50.0% 0 — — — R64 1,501 107.5 +0.44 -0.98 1.006 60.0% 0.00 — +0.1
217 Daria Saville AUS 450 96 – ▼ 211 1 1 50.0% 0 — R64 — — 1,617 108.7 +0.59 +1.52 1.052 60.0% +0.40 — -0.1
218 Emma Navarro USA 466 91 – ▲ 28 0 1 0.0% 0 — — — — 1,468 102.1 -2.13 -0.47 0.865 33.3% -1.67 — -0.0
219 Elsa Jacquemot FRA 536 71 – ▲ 185 0 1 0.0% 0 — R128 — — 1,472 96.5 +0.36 -0.42 0.515 0.0% -4.50 — +0.1
220 Yingying Duan CHN 568 64 – ▼ 171 0 1 0.0% 0 — — — — 1,532 102.9 +0.45 -3.00 0.551 0.0% -2.50 — -0.1
221 Irina Khromacheva RUS 639 50 – ▼ 204 0 1 0.0% 0 — — — R128 1,471 97.8 -3.16 -0.93 0.320 0.0% -4.00 — +0.1
222 Patcharin Cheapchandej THA 716 37 – ▲ 100 0 1 0.0% 0 — — — — 1,467 94.8 +0.19 +0.06 0.625 0.0% -4.50 — +0.2
223 Linda Fruhvirtova CZE 747 32 – ▲ 204 0 1 0.0% 0 — — — — 1,473 99.6 -3.62 +2.22 0.803 0.0% -3.00 — +0.0
224 Kim Clijsters BEL 1,030 12 – ▼ 15 0 3 0.0% 0 — — — R128 1,956 116.1 +0.27 +0.94 0.751 14.3% -2.00 — -0.4
225 Valentina Ivanov NZL 1,036 12 – ▼ 35 0 1 0.0% 0 — — — — 1,488 97.7 +1.22 -0.45 0.593 0.0% -2.50 — +0.1
226 Yaroslava Shvedova KAZ — — – — 0 1 0.0% 0 — — — — 1,604 100.0 -0.65 -0.84 0.671 0.0% -3.50 — +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.

View the full tennis statistics glossary →

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