Rankings as of: Dec 29, 2003

WTA 2003 Season Leaders & Rankings

Rankings, leaderboards, and performance stats by season.

Justine Henin finished 2003 at WTA No. 1 with 6,628 points.

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Rankings Leaders

Ranking points, results, and season metrics for 2003.

287 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 Justine Henin BEL 1 6,628 – ▲ 4 73 11 86.9% 8 SF W SF W 2,211 171.2 +6.75 +6.21 1.432 80.4% +2.15 110.8 -2.8
2 Kim Clijsters BEL 2 6,553 – ▲ 2 86 12 87.8% 9 SF F SF F 2,261 176.5 +7.01 +7.29 1.478 83.9% +2.65 104.0 -2.5
3 Serena Williams USA 3 3,916 – ▼ 2 36 3 92.3% 4 W SF W — 2,365 170.4 +7.11 +5.95 1.527 86.0% +2.74 — -1.7
4 Amélie Mauresmo FRA 4 3,194 – ▲ 2 45 17 72.6% 2 — QF — QF 2,065 163.0 +5.99 +3.35 1.388 69.4% +1.11 108.6 -2.3
5 Lindsay Davenport USA 5 2,990 – ▲ 7 48 15 76.2% 1 R16 R16 QF SF 2,074 165.9 +4.70 +4.45 1.328 74.6% +1.95 96.2 -0.7
6 Jennifer Capriati USA 6 2,766 – ▼ 3 42 18 70.0% 1 R128 R16 QF SF 2,022 162.1 +5.66 +6.87 1.449 68.6% +1.42 92.2 -0.4
7 Anastasia Myskina RUS 7 2,581 – ▲ 4 42 21 66.7% 4 QF R64 R16 QF 1,957 153.9 +0.52 +3.26 1.066 61.5% +0.76 107.0 -0.5
8 Elena Dementieva RUS 8 2,383 – ▲ 11 47 25 65.3% 3 R128 R128 R16 R16 1,966 156.8 +1.60 +2.78 1.106 61.8% +0.81 107.7 -1.5
9 Chanda Rubin USA 9 2,328 – ▲ 4 43 20 68.2% 2 R16 QF R32 R128 1,917 157.5 +1.04 +3.08 1.104 62.9% +0.85 104.3 -0.6
10 Ai Sugiyama JPN 10 2,235 – ▲ 14 44 25 63.8% 2 R64 R16 R16 R16 1,915 154.1 +1.48 +3.41 1.113 58.3% +0.63 105.4 +1.8
11 Venus Williams USA 11 2,211 – ▼ 9 24 5 82.8% 1 F R16 F — 2,260 155.8 +4.06 +5.13 1.337 81.0% +2.37 97.7 -1.7
12 Nadia Petrova RUS 12 1,994 – ▲ 100 36 20 64.3% 0 R32 SF R32 R16 1,921 156.8 +3.29 +4.32 1.277 61.1% +0.92 105.2 -2.6
13 Vera Zvonareva RUS 13 1,808 – ▲ 32 45 22 67.2% 1 R128 QF R16 R32 1,848 149.5 +2.41 +2.44 1.198 64.4% +1.28 98.7 +0.8
14 Paola Suarez ARG 14 1,526 – ▲ 13 37 22 62.7% 1 R32 R32 R16 QF 1,858 149.0 +1.97 +3.59 1.211 60.0% +0.72 105.6 +0.6
15 Jelena Dokic AUS 15 1,405 – ▼ 6 28 30 48.3% 0 — R64 R32 R64 1,778 142.2 +2.27 +0.61 1.076 48.5% -0.25 99.5 +1.7
16 Anna Smashnova ISR 16 1,353 – ▶ 0 37 21 63.8% 2 R32 R64 R128 R128 1,856 141.4 +0.50 +0.98 1.045 60.2% +0.59 104.0 -0.3
17 Meghann Shaughnessy USA 17 1,350 – ▲ 13 32 23 58.2% 1 QF R32 R128 R16 1,729 144.7 +2.14 -0.89 0.995 57.6% +0.54 96.1 +1.2
18 Conchita Martínez ESP 18 1,316 – ▲ 16 29 21 58.0% 0 R128 QF R32 R64 1,755 135.1 +0.69 +3.18 1.111 57.1% +0.35 99.0 -0.0
19 Daniela Hantuchova SVK 19 1,271 – ▼ 11 26 23 53.1% 0 QF R64 R64 R32 1,751 137.7 +1.71 +1.73 1.137 50.9% -0.12 106.4 +2.4
20 Francesca Schiavone ITA 20 1,265 – ▲ 21 32 23 58.2% 0 R128 R64 R32 QF 1,803 145.2 +1.14 +1.01 1.051 54.6% +0.26 107.0 -0.1
21 Elena Bovina RUS 21 1,250 – ▲ 5 25 22 53.2% 0 R16 R64 R64 R128 1,831 146.3 +0.86 +0.06 0.914 52.7% +0.35 98.7 -0.3
22 Magui Serna ESP 22 1,196 – ▲ 28 37 23 61.7% 2 R64 R16 R64 R64 1,746 134.8 +0.61 -0.88 0.944 56.7% +0.43 107.2 +2.0
23 Patty Schnyder SUI 23 1,180 – ▼ 8 28 23 54.9% 0 R16 R16 R128 R64 1,809 143.5 +3.50 +0.33 1.160 51.4% +0.06 100.7 +0.4
24 Silvia Farina Elia ITA 24 1,151 – ▼ 7 25 25 50.0% 1 R64 R32 QF R64 1,719 134.0 +2.40 +1.09 1.150 53.4% +0.25 97.6 -1.0
25 Amanda Coetzer RSA 25 1,139 – ▼ 4 27 19 58.7% 1 R16 R128 R64 R32 1,738 139.6 +0.81 +0.45 0.979 54.6% +0.36 101.8 +0.5
26 Eleni Daniilidou GRE 26 1,136 – ▼ 4 32 24 57.1% 1 R16 R32 R64 R128 1,706 136.7 +0.41 +0.45 1.001 56.7% +0.20 102.0 +1.4
27 Lisa Raymond USA 27 1,111 – ▲ 2 25 18 58.1% 1 R64 R64 R32 R64 1,766 139.9 +1.58 +1.47 1.097 53.8% +0.08 105.7 +0.1
28 Lina Krasnoroutskaya RUS 28 1,110 – ▲ 132 22 19 53.7% 0 — R64 R64 R128 1,770 139.6 -1.59 +2.62 0.954 49.5% -0.07 102.5 -3.1
29 Nathalie Dechy FRA 29 1,095 – ▼ 9 31 18 63.3% 1 R32 R32 R32 R64 1,840 138.9 +1.35 +3.00 1.221 58.5% +0.48 108.2 -0.8
30 Magdalena Maleeva BUL 30 1,064 – ▼ 16 27 21 56.2% 1 R32 R16 R64 R128 1,746 136.2 +1.69 +2.10 1.218 55.1% +0.64 93.7 +2.6
31 Tina Pisnik SLO 31 1,036 – ▲ 16 23 27 46.0% 0 R128 R32 R128 R32 1,718 131.1 +1.33 +1.11 1.083 47.5% -0.01 98.1 -0.1
32 Maria Sharapova RUS 32 1,024 – ▲ 156 24 12 66.7% 2 R128 R128 R16 R64 1,778 134.3 +2.16 +0.59 1.123 62.2% +1.01 103.1 +1.0
33 Mary Pierce FRA 33 969 – ▲ 19 23 17 57.5% 0 R64 R128 R16 R16 1,786 140.5 +4.39 +0.45 1.214 58.1% +0.66 98.2 -0.4
34 Tamarine Tanasugarn THA 34 957 – ▼ 6 28 23 54.9% 1 R32 R128 R128 R16 1,694 137.1 +0.58 -0.37 0.961 54.7% +0.32 97.4 +0.8
35 Svetlana Kuznetsova RUS 35 927 – ▲ 8 22 16 57.9% 0 R128 R128 QF R32 1,819 144.4 +3.33 +1.48 1.157 55.4% +0.58 102.4 -2.0
36 Alicia Molik AUS 36 911 – ▲ 58 25 16 61.0% 1 R128 R128 R32 R32 1,705 136.1 +3.00 -2.49 0.999 59.1% +0.82 105.1 -0.7
37 Elena Likhovtseva RUS 37 879 – ▲ 5 26 26 50.0% 0 R128 R128 R64 R16 1,678 134.9 +1.49 +0.52 1.089 50.9% +0.17 99.4 -0.2
38 Fabiola Zuluaga COL 38 840 – ▲ 37 21 17 55.3% 1 R128 R32 R64 R32 1,739 143.7 +2.36 +1.63 1.143 53.0% +0.79 101.6 -1.6
39 Katarina Srebotnik SLO 39 840 – ▼ 3 25 24 51.0% 0 R32 R64 R64 R64 1,682 127.1 +1.15 +0.28 1.039 47.2% -0.10 100.2 +0.1
40 Petra Mandula HUN 40 815 – ▲ 50 22 17 56.4% 0 R64 R16 R64 R64 1,692 129.7 +0.86 +1.55 1.124 57.8% +0.41 98.2 +0.2
41 Emilie Loit FRA 41 775 – ▲ 17 23 24 48.9% 0 R128 R64 R32 R32 1,673 132.7 +2.59 +0.21 1.090 49.1% -0.05 104.6 -1.6
42 María Sánchez Lorenzo ESP 42 770 – ▲ 69 22 18 55.0% 0 R128 R32 R128 R32 1,654 128.8 +1.51 +0.27 1.122 53.1% +0.42 102.9 -0.2
43 Denisa Chladkova CZE 43 764 – ▲ 20 20 19 51.3% 0 R16 R64 R64 R64 1,665 133.0 -0.58 +0.63 0.946 50.6% +0.14 99.5 +0.3
44 Maria Vento-Kabchi VEN 44 757 – ▲ 128 15 8 65.2% 0 — — — R64 1,717 136.1 -0.61 +1.41 0.957 62.0% +0.86 — +0.3
45 Shinobu Asagoe JPN 45 750 – ▲ 51 19 15 55.9% 0 R128 R128 R16 R32 1,665 120.4 +0.37 -0.93 0.956 51.9% -0.18 109.8 +0.3
46 Laura Granville USA 46 723 – ▲ 3 22 22 50.0% 0 R128 R32 R32 R64 1,652 130.1 +0.38 +1.61 1.093 51.9% +0.13 99.7 +0.6
47 Marlene Weingartner GER 47 722 – ▲ 50 17 15 53.1% 0 R32 R64 R64 R128 1,645 127.8 -1.25 -1.46 0.767 48.5% -0.44 104.8 -0.6
48 Anca Barna GER 48 720 – ▲ 14 24 25 49.0% 0 R32 R128 R128 R64 1,659 132.9 -2.52 -0.36 0.797 49.6% +0.13 102.0 -1.3
49 Saori Obata JPN 49 714 – ▲ 77 18 17 51.4% 0 — R128 R128 R32 1,641 127.3 -1.91 +0.72 0.936 51.3% +0.28 98.2 +0.1
50 Iroda Tulyaganova UZB 50 711 – ▲ 5 23 17 57.5% 0 R64 R64 R32 — 1,734 132.2 +1.14 -0.37 1.065 54.5% +0.11 105.1 -0.3
51 Cara Black ZIM 51 690 – ▲ 5 18 25 41.9% 0 R128 R64 R32 R128 1,602 117.3 +0.23 +1.08 1.019 41.3% -0.68 103.9 -0.0
52 Ashley Harkleroad USA 52 685 – ▲ 61 14 14 50.0% 0 — R32 R128 R64 1,592 121.9 -0.82 +0.82 0.967 49.1% -0.04 94.4 +0.6
53 Nicole Pratt AUS 53 682 – ▼ 5 17 23 42.5% 0 R16 R128 R128 R32 1,646 126.9 -0.42 +0.77 0.964 43.4% -0.35 100.0 -1.0
54 Dinara Safina RUS 54 657 – ▲ 14 18 15 54.5% 1 R128 R128 R128 R16 1,749 135.3 +0.19 +0.42 0.979 57.5% +0.55 92.7 -1.6
55 Virginia Ruano Pascual ESP 55 653 – ▲ 10 19 17 52.8% 1 QF R128 R128 R128 1,694 119.9 -0.97 -0.92 0.780 51.9% -0.21 100.9 +0.5
56 Emmanuelle Gagliardi SUI 56 634 – ▲ 5 25 23 52.1% 0 R64 R64 R64 R128 1,608 119.0 -1.11 -1.05 0.887 49.1% -0.17 105.1 +1.3
57 Maja Matevzic SLO 57 618 – ▼ 6 19 19 50.0% 0 R64 R64 R32 R64 1,702 120.9 +0.95 -1.78 0.938 49.4% -0.33 109.5 0.0
58 Marion Bartoli FRA 58 617 – ▲ 46 20 21 48.8% 0 R128 R64 R128 R128 1,636 133.4 -0.70 +0.08 0.819 48.3% -0.21 105.6 -0.7
59 Karolina Sprem CRO 59 609 – ▲ 214 12 8 60.0% 0 — — R64 R128 1,603 127.0 -1.05 -1.09 0.686 51.0% +0.04 108.1 -0.5
60 Monica Seles USA 60 599 – ▼ 53 10 7 58.8% 0 R64 R128 — — 1,994 139.5 +0.40 +1.10 0.702 56.8% +0.57 98.7 -0.7
61 Amy Frazier USA 61 575 – ▼ 22 14 13 51.9% 0 R64 R128 R64 R32 1,726 129.3 -1.13 +0.72 0.874 46.4% -0.07 100.5 -0.7
62 Akiko Morigami JPN 62 562 – ▲ 81 11 14 44.0% 0 R64 R128 R32 R128 1,585 121.6 -0.48 -0.28 0.937 51.7% -0.02 92.7 +0.2
63 Klara Koukalova CZE 63 560 – ▲ 54 14 19 42.4% 0 R32 R128 R128 R128 1,537 119.8 — — — 44.4% -0.35 99.1 +0.6
64 Ludmila Cervanova SVK 64 552 – ▲ 39 20 14 58.8% 0 R64 R64 R128 R64 1,634 117.8 -0.30 -1.04 0.974 55.4% +0.24 102.5 +0.8
65 Marie-Gayanay Mikaelian SUI 65 548 – ▼ 21 17 19 47.2% 0 R128 R64 R64 R64 1,668 129.7 +1.04 -0.15 0.957 50.0% -0.03 102.6 -1.0
66 Jelena Kostanic Tosic CRO 66 532 – ▲ 4 16 20 44.4% 0 R128 R64 R128 R128 1,621 120.1 -1.74 -2.49 0.739 45.1% -0.46 97.7 -0.1
67 Arantxa Parra Santonja ESP 67 529 – ▲ 119 10 11 47.6% 0 — — R64 R64 1,591 108.5 -0.40 -1.77 0.819 44.7% -0.51 — +0.3
68 Stéphanie Cohen-Aloro FRA 68 523 – ▲ 101 11 15 42.3% 0 — R64 R128 R64 1,547 122.3 -0.51 +0.21 0.942 45.9% -0.21 96.0 -0.1
69 Flavia Pennetta ITA 69 521 – ▲ 26 18 20 47.4% 0 R128 R32 R64 R128 1,559 125.7 -1.72 -0.40 0.890 47.1% -0.14 102.7 -0.7
70 Rita Grande ITA 70 513 – ▼ 24 14 25 35.9% 1 R64 R32 R64 R128 1,534 112.1 +0.28 +0.94 1.123 40.7% -0.78 97.2 +1.7
71 Anabel Medina Garrigues ESP 71 507 – ▲ 45 13 12 52.0% 0 R128 — — — 1,613 108.3 — — — 49.2% +0.02 102.6 +1.7
72 Virginie Razzano FRA 72 505 – ▲ 4 15 20 42.9% 0 R64 R128 R64 R64 1,612 121.0 -0.21 +2.36 1.133 45.6% -0.40 103.5 -0.1
73 Els Callens BEL 73 485 – ▼ 6 13 19 40.6% 0 R64 R128 R64 R128 1,637 127.2 -0.92 -1.45 0.759 41.1% -0.48 102.9 -1.9
74 Samantha Reeves USA 74 479 – ▲ 34 8 10 44.4% 0 R128 R128 R32 R64 1,588 112.2 -1.00 +0.72 0.861 41.0% -0.92 — -0.5
75 Kristina Brandi PUR 75 479 – ▲ 132 0 1 0.0% 0 — — — — 1,539 99.3 — — — 0.0% -3.00 — -0.1
76 Barbara Schett AUT 76 473 – ▼ 36 15 24 38.5% 0 R128 R32 R64 R64 1,625 120.3 +0.36 -0.33 0.971 40.7% -0.78 96.2 -0.9
77 Milagros Sequera VEN 77 472 – ▲ 38 6 8 42.9% 0 — — R128 R64 1,538 111.0 -1.77 +0.33 0.914 46.7% -0.23 — -0.1
78 Tatiana Perebiynis UKR 78 472 – ▲ 41 7 10 41.2% 0 — R128 R64 R64 1,554 113.5 +0.84 -2.26 0.935 44.4% -0.14 99.1 +0.3
79 Melinda Czink HUN 79 468 – ▲ 83 4 3 57.1% 0 R128 — — R32 1,568 119.7 -0.23 +0.05 0.875 44.4% -0.50 — -0.3
80 Claudine Schaul LUX 80 467 – ▲ 53 8 8 50.0% 0 — — — R32 1,590 125.3 +0.67 +0.90 1.082 47.2% -0.08 104.7 -0.7
81 Alexandra Stevenson USA 81 461 – ▼ 63 13 26 33.3% 0 R64 R128 R128 R128 1,609 118.0 +0.40 -2.78 0.731 38.1% -0.79 94.0 +2.3
82 Tathiana Garbin ITA 82 453 – ▼ 11 12 17 41.4% 0 R64 R64 R128 R64 1,556 111.2 -0.57 -0.84 0.912 45.5% -0.44 101.4 +0.9
83 Yoon Jeong Cho KOR 83 447 – ▶ 0 15 18 45.5% 0 R64 R128 R64 R128 1,573 115.9 -1.13 -1.12 0.843 47.4% -0.50 96.2 -0.3
84 Jie Zheng CHN 84 442 – ▲ 101 7 8 46.7% 0 — — — — 1,535 113.8 — — — 51.6% +0.06 — +0.4
85 Jelena Jankovic SRB 85 435 – ▲ 111 4 9 30.8% 0 R64 — — — 1,488 112.5 — — — 39.3% -0.36 — +0.6
86 Lubomira Kurhajcova SVK 86 431 – ▲ 24 8 8 50.0% 0 R128 — — R128 1,573 118.6 -0.16 -1.83 0.691 48.5% -0.09 — +0.2
87 Sandra Kleinova CZE 87 427 – ▲ 50 5 7 41.7% 0 — R64 R128 — 1,527 110.3 -1.31 +0.48 0.923 47.8% -0.70 — +0.3
88 Zuzana Ondraskova CZE 88 426 – ▲ 41 5 7 41.7% 0 — R64 R128 R128 1,488 111.5 -0.67 -0.64 0.839 40.7% -0.41 — +1.0
89 Martina Sucha SVK 89 417 – ▼ 25 4 15 21.1% 0 R128 — R64 R64 1,493 99.3 -2.12 -0.63 0.771 27.3% -1.71 — +0.5
90 Clarisa Fernandez ARG 90 408 – ▼ 59 14 20 41.2% 0 R32 R64 R128 R128 1,574 118.8 -0.32 -0.70 0.927 46.1% -0.32 95.6 +0.9
91 Henrieta Nagyova SVK 91 406 – ▼ 32 12 17 41.4% 1 R128 R128 R128 R128 1,634 115.0 -2.77 -0.87 0.763 48.4% -0.31 — +0.1
92 Aniko Kapros HUN 92 400 – ▲ 15 6 5 54.5% 0 R128 — R32 R128 1,604 116.7 +0.29 +1.15 1.040 52.4% +0.43 — +0.3
93 Silvija Talaja CRO 93 400 – ▼ 19 15 21 41.7% 0 R128 R64 R128 R64 1,547 116.1 -2.31 -0.57 0.845 44.0% -0.31 97.2 +0.7
94 Julia Vakulenko UKR 94 391 – ▲ 38 4 8 33.3% 0 — R32 R128 R64 1,502 115.0 +1.60 -1.26 0.949 38.5% -0.96 — -0.5
95 Angelique Widjaja INA 95 386 – ▼ 23 14 21 40.0% 0 R128 R128 R64 R128 1,567 115.2 -1.06 -0.22 0.900 44.9% -0.35 92.0 +0.5
96 Gala Leon Garcia ESP 96 385 – ▲ 34 5 9 35.7% 0 — R64 R128 R128 1,523 111.5 -2.37 -2.26 0.718 45.2% -0.52 — +0.5
97 Alina Jidkova RUS 97 377 – ▼ 12 7 13 35.0% 0 R64 R128 R128 R128 1,507 115.3 -2.04 -2.52 0.692 40.4% -0.60 96.9 +0.1
98 Marta Marrero ESP 98 373 – ▼ 11 7 13 35.0% 0 R64 R128 R128 R128 1,498 108.8 -2.63 -3.77 0.557 40.0% -0.73 101.4 +0.5
99 Jill Craybas USA 99 371 – ▼ 42 16 22 42.1% 0 R128 R128 R128 R128 1,568 113.2 -2.11 -2.34 0.665 41.7% -0.71 99.2 +1.0
100 Maria Elena Camerin ITA 100 371 – ▲ 23 3 8 27.3% 0 — R128 R64 R64 1,494 108.8 +1.20 -0.47 0.973 38.5% -0.62 95.3 +0.5
101 Dally Randriantefy MAD 102 360 – ▼ 9 4 10 28.6% 0 R128 R32 R128 R128 1,520 104.0 -0.47 +0.12 0.876 33.3% -1.63 — -0.5
102 Myriam Casanova SUI 103 352 – ▼ 49 8 16 33.3% 0 R128 R128 R128 R64 1,640 140.6 +1.08 +0.44 0.923 36.8% -0.69 — -2.4
103 Sofia Arvidsson SWE 104 350 – ▲ 40 2 3 40.0% 0 — — — — 1,482 105.7 — — — 36.4% 0.00 — -0.0
104 Eva Birnerova CZE 105 346 – ▲ 110 0 3 0.0% 0 — R128 — — 1,457 92.0 -0.69 -1.60 0.878 0.0% -3.17 — +0.3
105 Adriana Serra Zanetti ITA 106 345 – ▼ 46 7 15 31.8% 0 R64 — — R128 1,486 105.7 -0.08 -0.02 1.007 37.5% -0.69 93.3 +0.3
106 Conchita Martínez Granados ESP 107 342 – ▼ 9 9 13 40.9% 0 R128 R128 R64 R128 1,546 110.6 -3.09 -2.67 0.604 39.2% -1.25 106.7 -0.7
107 Tara Snyder USA 108 338 – ▲ 62 3 4 42.9% 0 — — — — 1,577 107.7 — — — 38.5% -0.62 — -0.2
108 Cristina Torrens Valero ESP 109 337 – ▼ 30 7 17 29.2% 0 R64 R128 R128 R128 1,455 99.6 -3.14 -2.73 0.596 36.2% -1.22 101.9 +0.5
109 Ansley Cargill USA 110 334 – ▲ 12 4 9 30.8% 0 R64 R128 R128 R128 1,475 100.9 -3.24 -2.26 0.507 27.6% -1.93 — -0.5
110 Antonella Serra Zanetti ITA 111 328 – ▼ 19 11 20 35.5% 0 R64 R128 R128 R64 1,473 107.0 -2.02 +0.51 0.935 37.5% -0.94 100.5 +0.9
111 Teryn Ashley USA 112 315 – ▲ 87 0 3 0.0% 0 — — — — 1,463 100.3 — — — 25.0% -2.25 — +0.3
112 Vera Dushevina RUS 113 314 – ▲ 360 5 4 55.6% 0 — — — R128 1,552 117.7 -0.27 -0.53 0.641 52.6% +0.53 — +0.1
113 Tatiana Panova RUS 114 308 – ▼ 91 7 13 35.0% 0 R32 — — — 1,636 117.1 — — — 35.4% -1.44 102.1 +0.5
114 Maureen Drake CAN 115 305 – ▼ 16 3 8 27.3% 0 R128 — R64 R128 1,500 105.5 -0.96 -1.21 0.910 35.7% -0.93 97.8 +0.1
115 Lindsay Lee-Waters USA 116 304 – ▲ 4 0 6 0.0% 0 R128 R128 R128 — 1,484 104.9 -1.20 -1.21 0.845 20.0% -1.67 — -0.1
116 Julia Schruff GER 117 302 – ▲ 123 4 5 44.4% 0 — R128 — — 1,508 104.6 -0.91 +0.18 0.894 45.0% -0.55 — +0.2
117 Anna-Lena Groenefeld GER 118 302 – ▲ 437 3 6 33.3% 0 — — — — 1,515 115.9 — — — 38.1% -0.48 — -0.2
118 Roberta Vinci ITA 119 301 – ▲ 65 2 2 50.0% 0 — — — — 1,502 103.2 — — — 50.0% -0.40 — -0.2
119 Barbara Rittner GER 120 296 – ▼ 54 6 14 30.0% 0 R128 R128 R128 R128 1,567 107.0 -0.66 -2.21 0.611 35.4% -1.04 97.2 -0.8
120 Tatiana Poutchek BLR 121 293 – ▼ 21 6 11 35.3% 0 R32 R128 R128 R128 1,487 105.6 -1.15 -1.19 0.818 34.1% -1.15 103.7 +0.5
121 Yuliya Beygelzimer UKR 122 291 – ▲ 37 1 4 20.0% 0 — — — R128 1,448 106.4 +0.18 -0.75 0.868 33.3% -0.42 — -0.1
122 Maria Kirilenko RUS 124 273 – ▲ 249 5 5 50.0% 0 — — — R32 1,522 108.4 +0.26 -0.99 1.013 43.5% -0.70 105.9 +0.3
123 Gisela Dulko ARG 125 272 – ▲ 29 5 7 41.7% 0 — R128 — — 1,516 103.4 -0.14 -1.46 0.874 36.0% -0.44 99.3 +0.5
124 Janette Husarova SVK 126 262 – ▼ 93 7 16 30.4% 0 R64 R128 R128 R128 1,578 119.5 -1.15 -0.24 0.755 37.5% -0.89 — +0.5
125 Alena Vaskova CZE 127 261 – ▲ 28 2 2 50.0% 0 — — — R128 1,473 114.9 — — — 55.6% +0.11 — -0.2
126 Eva Fislova SVK 128 254 – ▲ 17 3 7 30.0% 0 R128 — R64 R128 1,516 112.9 -0.53 -3.46 0.749 36.0% -0.68 99.3 -0.7
127 Tiantian Sun CHN 129 254 – ▲ 102 2 7 22.2% 0 — — — R128 1,451 101.0 -0.20 -1.27 0.776 22.2% -1.67 — +0.5
128 Elena Tatarkova UKR 130 250 – ▲ 46 2 4 33.3% 0 — — — — 1,486 104.1 — — — 40.0% -1.00 — +0.2
129 Iva Majoli CRO 131 250 – ▼ 99 7 15 31.8% 0 R128 R64 R128 R128 1,606 113.3 -3.85 -1.53 0.641 35.3% -1.04 96.9 -0.9
130 Iveta Benesova CZE 132 250 – ▼ 50 9 19 32.1% 0 R128 R128 R128 R128 1,478 107.1 — — — 38.2% -0.94 95.1 +0.7
131 Maret Ani EST 133 247 – ▲ 50 1 2 33.3% 0 — — — — 1,504 107.6 — — — 28.6% -1.43 — -0.3
132 Evie Dominikovic AUS 134 243 – ▼ 20 5 9 35.7% 0 R32 R64 R128 — 1,520 110.3 -1.57 -1.40 0.633 40.6% -0.62 99.4 +0.1
133 Catalina Castano COL 135 243 – ▲ 59 2 3 40.0% 0 — — — R128 1,518 101.5 -0.43 -0.17 0.693 41.7% -0.92 — -0.1
134 Yuka Yoshida JPN 136 242 – ▲ 91 1 2 33.3% 0 — — — — 1,496 107.1 — — — 42.9% -0.43 — -0.1
135 Mara Santangelo ITA 138 235 – ▲ 41 0 2 0.0% 0 — — — R128 1,475 102.0 -0.51 -1.78 0.910 20.0% -1.20 — +0.1
136 Severine Beltrame FRA 139 234 – ▲ 102 0 1 0.0% 0 — — — — 1,483 98.5 — — — 0.0% -2.00 — +0.1
137 Nuria Llagostera Vives ESP 140 232 – ▲ 52 1 2 33.3% 0 R128 — — — 1,450 110.8 — — — 50.0% -0.75 — -0.1
138 Marissa Irvin USA 141 232 – ▼ 64 3 11 21.4% 0 R128 R32 R128 R128 1,502 104.4 — — — 30.3% -1.57 95.8 +0.5
139 Barbora Strycova CZE 142 230 – ▲ 80 0 1 0.0% 0 — — R128 — 1,485 99.7 -1.59 +0.58 0.975 33.3% -0.67 — +0.1
140 Meilen Tu USA 143 226 – ▼ 70 4 14 22.2% 0 R128 R128 — — 1,478 102.5 -0.75 +0.07 0.979 27.9% -1.28 — -0.1
141 Shenay Perry USA 144 223 – ▲ 113 0 4 0.0% 0 — — — R128 1,460 95.4 -1.57 -1.58 0.629 11.1% -2.89 — 0.0
142 Renata Voracova CZE 145 220 – ▼ 17 2 5 28.6% 0 — — — — 1,456 106.1 — — — 40.0% -0.60 — +0.2
143 Olga Barabanschikova BLR 146 215 – ▲ 35 2 2 50.0% 0 — — — — 1,499 108.6 — — — 44.4% -0.78 — +0.1
144 Tzipora Obziler ISR 147 212 – ▼ 1 2 3 40.0% 0 — — — — 1,498 109.4 — — — 50.0% +0.08 — -0.1
145 Sybille Bammer AUT 148 211 – ▲ 29 0 2 0.0% 0 — — — — 1,474 103.1 — — — 20.0% -1.80 — -0.2
146 Rossana De Los Ríos PAR 149 210 – ▼ 61 3 15 16.7% 0 R128 R128 R128 — 1,449 99.1 -2.66 -3.40 0.402 21.1% -2.08 91.9 -0.3
147 Lubomira Bacheva BUL 150 210 – ▲ 8 0 1 0.0% 0 — — — — 1,470 102.0 — — — 33.3% -0.33 — 0.0
148 Seda Noorlander NED 151 209 – ▲ 15 0 1 0.0% 0 — — R128 — 1,420 95.6 -1.02 -0.23 0.573 0.0% -4.00 — -0.1
149 Ivana Abramovic CRO 152 208 – ▲ 137 3 4 42.9% 0 — — — — 1,501 108.0 — — — 43.8% -0.50 — -0.1
150 Patricia Wartusch AUT 153 208 – ▼ 69 8 17 32.0% 0 R128 R128 R128 — 1,513 107.0 -1.38 -1.01 0.703 37.3% -1.29 98.3 -0.6
151 Selima Sfar TUN 154 208 – ▼ 15 0 3 0.0% 0 — — R128 — 1,475 94.6 +0.29 -2.39 0.326 0.0% -3.33 — -0.1
152 Daja Bedanova CZE 155 206 – ▼ 118 6 15 28.6% 0 R64 R128 R64 R128 1,597 114.3 -0.44 -1.19 0.806 33.3% -1.21 — -0.7
153 Natalia Gussoni ARG 157 202 – ▲ 62 0 1 0.0% 0 — R128 — — 1,486 96.7 -1.87 -0.05 0.812 0.0% -3.50 — +0.1
154 Bethanie Mattek-Sands USA 158 199 – ▲ 56 0 5 0.0% 0 — — — R128 1,428 97.9 -0.28 +0.13 0.926 23.1% -2.08 — -0.1
155 Jennifer Hopkins USA 159 199 – ▼ 19 0 2 0.0% 0 — — — — 1,447 100.8 — — — 33.3% -0.67 — -0.1
156 Sarah Taylor USA 160 196 – ▼ 74 5 14 26.3% 0 R128 R128 — R128 1,494 104.7 +0.17 -0.68 0.714 30.0% -1.78 — -0.5
157 Zi Yan HKG 161 192 – ▲ 136 2 3 40.0% 0 — — — — 1,486 101.9 — — — 45.5% -0.09 — +0.3
158 Janet Lee TPE 162 191 – ▲ 55 1 3 25.0% 0 — — R128 — 1,511 102.1 -0.98 -0.78 0.826 33.3% -0.45 — +0.0
159 Samantha Stosur AUS 163 188 – ▲ 82 2 4 33.3% 0 R32 — R128 — 1,493 117.7 +0.87 +0.74 0.837 35.7% 0.00 — -0.2
160 Anastasia Rodionova AUS 165 187 – ▼ 47 7 8 46.7% 0 — — R128 — 1,545 112.1 -0.41 -1.53 0.632 44.4% -0.11 103.0 +0.4
161 Stephanie Gehrlein GER 166 187 – ▲ 121 1 2 33.3% 0 — — — R128 1,504 105.0 -0.04 -0.01 0.663 33.3% -1.00 — -0.2
162 Christina Wheeler AUS 167 185 – ▲ 22 0 1 0.0% 0 — R128 — — 1,478 100.1 -1.71 -0.61 0.804 0.0% -2.50 — +0.1
163 Camille Pin FRA 169 183 – ▼ 33 0 2 0.0% 0 R128 R128 — — 1,483 110.0 +0.77 +0.70 0.555 0.0% -4.75 — -0.4
164 Vanessa Webb CAN 171 181 – ▼ 29 1 3 25.0% 0 R64 — — — 1,438 92.4 — — — 30.0% -1.70 — +0.5
165 Mariana Diaz-Oliva ARG 172 175 – ▼ 83 4 4 50.0% 0 R128 — — — 1,581 107.7 — — — 37.5% -0.06 — +0.5
166 María Emilia Salerni ARG 173 174 – ▼ 46 0 6 0.0% 0 R128 — — R128 1,430 92.2 -0.98 -1.47 0.654 14.3% -2.79 — -0.1
167 Rita Kuti-Kis HUN 174 172 – ▼ 3 0 3 0.0% 0 — — — — 1,475 101.1 — — — 25.0% -1.25 — -0.1
168 Anne Keothavong GBR 177 170 – ▲ 59 0 2 0.0% 0 — — R128 — 1,464 96.7 -0.21 -0.44 0.567 0.0% -4.00 — -0.1
169 Bianka Lamade GER 178 168 – ▲ 45 0 1 0.0% 0 — — — — 1,527 98.8 — — — 0.0% -3.00 — -0.1
170 Elise Tamaela NED 179 168 – ▲ 811 1 1 50.0% 0 — — — — 1,497 102.6 — — — 50.0% +0.25 — +0.1
171 Lilia Osterloh USA 180 163 – ▼ 24 0 2 0.0% 0 — — R128 — 1,508 94.9 — — — 0.0% -2.75 — +0.0
172 Barbara Schwartz AUT 183 161 – ▼ 58 2 1 66.7% 0 R32 — — — 1,626 116.2 — — — 57.1% +0.86 — +0.0
173 Angela Haynes USA 184 160 – ▲ 675 1 5 16.7% 0 — — — R128 1,471 101.7 -0.96 -0.60 0.690 23.1% -2.00 — +0.4
174 Lioudmila Skavronskaia RUS 185 160 – ▲ 90 2 1 66.7% 0 — — — — 1,536 107.3 — — — 66.7% +1.67 — +0.3
175 Evgenia Kulikovskaya RUS 186 158 – ▼ 84 2 12 14.3% 0 R128 R64 R128 — 1,401 92.3 -0.60 -1.84 0.779 25.0% -2.19 — +0.5
176 Alona Bondarenko UKR 187 154 – ▲ 6 0 2 0.0% 0 — — — — 1,471 94.9 — — — 20.0% -2.40 — +0.1
177 Stanislava Hrozenska SVK 189 153 – ▼ 26 0 2 0.0% 0 R128 — R128 — 1,485 99.1 +0.25 +0.51 0.604 0.0% -4.25 — -0.1
178 Bea Bielik USA 190 153 – ▲ 60 0 3 0.0% 0 — — R128 R128 1,501 98.5 -0.77 -1.14 0.571 14.3% -2.71 — -0.3
179 Virginie Pichet FRA 191 152 – ▲ 47 0 1 0.0% 0 — R128 — — 1,494 96.0 -2.02 +0.93 0.360 0.0% -5.50 — -0.1
180 Katalin Marosi HUN 192 152 – ▼ 54 3 5 37.5% 0 — — — — 1,461 109.4 — — — 41.2% -0.47 — -0.0
181 Jarmila Wolfe AUS 195 145 – ▲ 353 2 1 66.7% 0 — — — — 1,532 109.1 — — — 66.7% +1.17 — -0.1
182 Mashona Washington USA 199 143 – ▼ 90 1 5 16.7% 0 R128 — — — 1,441 96.8 — — — 26.7% -1.80 — +0.2
183 Zsofia Gubacsi HUN 200 142 – ▼ 79 0 2 0.0% 0 — — — — 1,473 94.2 — — — 20.0% -1.80 — +0.1
184 Evelyn Fauth AUT 201 142 – ▼ 28 0 2 0.0% 0 — — — — 1,437 103.8 — — — 20.0% -1.20 — -0.2
185 Marie-Ève Pelletier CAN 203 139 – ▼ 50 0 4 0.0% 0 — — — — 1,397 94.5 — — — 11.1% -2.55 — +0.2
186 Wynne Prakusya INA 204 137 – ▼ 99 0 6 0.0% 0 R128 R128 — — 1,458 98.2 -1.24 -1.65 0.385 7.7% -2.92 — -0.3
187 Virag Nemeth HUN 206 136 – ▲ 253 0 1 0.0% 0 — — — — 1,478 98.0 — — — 0.0% -2.00 — -0.1
188 Adriana Barna GER 207 134 – ▲ 47 0 1 0.0% 0 — — — — 1,467 99.3 — — — 0.0% -3.50 — -0.1
189 Yuliana Fedak UKR 209 131 – ▼ 14 3 2 60.0% 0 — — — — 1,498 109.4 — — — 66.7% +1.25 — +0.5
190 Angelika Roesch GER 210 130 – ▼ 129 4 15 21.1% 0 R128 R128 R128 R128 1,470 108.0 -2.69 -0.36 0.711 28.3% -1.61 97.8 -1.5
191 Kelly Liggan IRL 211 130 – ▲ 17 0 1 0.0% 0 — — — — 1,435 98.4 — — — 0.0% -2.00 — +0.0
192 Abigail Spears USA 212 130 – ▲ 111 0 1 0.0% 0 — — — — 1,461 101.1 — — — 33.3% -1.00 — -0.1
193 Angelika Bachmann GER 213 129 – ▼ 15 0 1 0.0% 0 — — — — 1,481 96.3 — — — 0.0% -4.00 — -0.1
194 Libuse Prusova CZE 215 129 – ▼ 109 1 4 20.0% 0 R128 R128 — — 1,482 102.2 -0.59 -0.20 0.647 30.8% -2.00 — -0.1
195 Bahia Mouhtassine MAR 217 128 – ▼ 70 0 2 0.0% 0 — R128 — — 1,441 93.6 -3.37 -1.29 0.598 20.0% -2.40 — +0.3
196 Rika Fujiwara JPN 218 128 – ▼ 31 1 1 50.0% 0 — — — — 1,429 102.9 — — — 60.0% +0.60 — +0.1
197 Shuai Peng CHN 221 123 – ▲ 145 0 2 0.0% 0 — — — — 1,455 96.5 — — — 0.0% -2.25 — +0.2
198 Ivana Lisjak CRO 227 117 – ▲ 206 1 1 50.0% 0 — — — — 1,519 104.2 — — — 40.0% -0.40 — -0.4
199 Carly Gullickson USA 229 114 – ▲ 519 3 4 42.9% 0 — — R128 R128 1,528 111.7 -0.63 -1.30 0.749 38.9% -0.44 — -0.3
200 Olga Vymetalkova CZE 230 113 – ▼ 56 0 1 0.0% 0 — — — — 1,483 98.7 — — — 33.3% -0.67 — +0.1
201 Mi-Ra Jeon KOR 232 112 – ▼ 97 0 2 0.0% 0 — — — — 1,432 95.1 — — — 0.0% -3.50 — +0.1
202 Diana Ospina USA 235 109 – ▲ 221 0 1 0.0% 0 — — — — 1,484 96.5 — — — 0.0% -3.50 — +0.1
203 Gabriela Lastra USA 240 107 – ▲ 20 0 1 0.0% 0 — — — R128 1,494 100.7 -2.02 -1.31 0.481 0.0% -5.00 — -0.1
204 Jane Odonoghue GBR 241 106 – ▲ 45 1 2 33.3% 0 — — R128 — 1,499 96.9 -0.93 -0.43 0.733 0.0% -3.00 — -0.0
205 Melanie Marois CAN 244 104 – ▲ 82 0 3 0.0% 0 — — — — 1,417 91.0 — — — 14.3% -3.14 — +0.2
206 Paula Garcia ESP 247 99 – ▲ 18 0 2 0.0% 0 — — — — 1,471 93.1 — — — 0.0% -3.75 — +0.1
207 Marta Domachowska POL 252 96 – ▲ 98 0 3 0.0% 0 — — — — 1,439 94.2 — — — 25.0% -2.13 — +0.5
208 Tina Schiechtl AUT 254 95 – ▲ 109 0 1 0.0% 0 — — — — 1,489 96.9 — — — 0.0% -3.50 — -0.1
209 Miho Saeki JPN 256 93 – ▼ 55 0 2 0.0% 0 — — — — 1,473 98.3 — — — 20.0% -2.20 — -0.0
210 Amber Liu USA 258 93 – ▲ 155 1 2 33.3% 0 — — — R128 1,502 121.7 +5.20 +3.79 0.478 28.6% -2.00 — -0.3
211 Jana Hlavackova CZE 260 92 – ▲ 8 0 1 0.0% 0 — — — — 1,468 105.2 — — — 0.0% -2.50 — -0.2
212 Maria Goloviznina RUS 261 92 – ▼ 109 1 2 33.3% 0 — — — — 1,492 98.4 — — — 42.9% -0.71 — +0.5
213 Celine Beigbeder FRA 263 92 – ▼ 112 0 2 0.0% 0 — R128 — — 1,495 93.0 -1.53 -2.09 0.744 0.0% -3.00 — +0.3
214 Corina Morariu USA 264 91 – ▲ 138 2 6 25.0% 0 — R64 R128 R128 1,547 100.0 -1.90 -1.71 0.765 22.2% -1.61 — -0.3
215 Tanner Cochran USA 268 88 – ▲ 6 0 1 0.0% 0 — — — — 1,486 96.4 — — — 0.0% -4.00 — +0.0
216 Lucie Ahl GBR 271 87 – ▼ 67 1 3 25.0% 0 — — R128 — 1,483 97.3 +0.03 +0.09 0.995 30.0% -1.50 — -0.1
217 Amandine Dulon FRA 276 85 – ▼ 41 0 1 0.0% 0 — R128 — — 1,489 99.2 -1.40 -1.19 0.875 0.0% -2.00 — +0.1
218 Viktoriya Kutuzova UKR 278 84 – ▲ 173 2 1 66.7% 0 — — — — 1,541 110.5 — — — 50.0% -0.75 — -0.0
219 Olga Kalyuzhnaya RUS 281 83 – ▼ 47 1 1 50.0% 0 — — — — 1,485 104.1 — — — 60.0% +1.40 — +0.2
220 Jin-Hee (sr) Kim KOR 286 82 – ▲ 20 0 1 0.0% 0 — — — — 1,481 94.3 — — — 0.0% -5.00 — -0.1
221 Casey Dellacqua AUS 287 81 – ▲ 148 0 1 0.0% 0 R128 — — — 1,489 100.3 — — — 33.3% -2.33 — +0.0
222 Greta Arn HUN 288 81 – ▼ 197 0 2 0.0% 0 R128 — — — 1,484 99.8 — — — 20.0% -2.80 — -0.1
223 Ally Baker USA 293 76 – ▲ 28 0 1 0.0% 0 — — — — 1,479 89.5 — — — 0.0% -6.00 — +0.1
224 Frederica Piedade POR 294 76 – ▲ 77 0 1 0.0% 0 — — — — 1,470 99.2 — — — 0.0% -4.00 — -0.1
225 Seiko Okamoto JPN 295 76 – ▲ 21 0 1 0.0% 0 — — — — 1,469 93.5 — — — 0.0% -4.50 — +0.1
226 Chanelle Scheepers RSA 299 72 – ▼ 87 1 1 50.0% 0 — — — — 1,503 97.4 — — — 50.0% -1.25 — +0.2
227 Amanda Keen GBR 300 72 – ▲ 507 0 1 0.0% 0 — — — — 1,492 99.2 — — — 0.0% -2.00 — -0.0
228 Anais Laurendon FRA 305 69 – ▲ 74 0 1 0.0% 0 — R128 — — 1,492 95.1 -1.99 -2.14 0.446 0.0% -5.50 — -0.0
229 Akgul Amanmuradova UZB 307 68 – ▲ 300 0 1 0.0% 0 — — — — 1,465 99.8 — — — 0.0% -1.50 — -0.1
230 Anna Kournikova RUS 310 67 – ▼ 275 1 5 16.7% 0 R64 — — — 1,674 109.3 — — — 33.3% -1.17 — -0.6
231 Napaporn Tongsalee THA 313 66 – ▲ 109 0 1 0.0% 0 — — — — 1,487 99.8 — — — 33.3% -1.67 — +0.0
232 Kristie Boogert NED 314 66 – ▼ 173 0 1 0.0% 0 — — — — 1,531 103.1 — — — 33.3% -0.67 — -0.1
233 Lourdes Domínguez Lino ESP 319 64 – ▲ 71 0 1 0.0% 0 — — — — 1,503 98.5 — — — 0.0% -3.00 — +0.1
234 Bryanne Stewart AUS 321 63 – ▼ 121 0 1 0.0% 0 — — — — 1,507 97.3 — — — 0.0% -3.00 — -0.1
235 Sonya Jeyaseelan CAN 328 60 – ▲ 160 0 1 0.0% 0 — — — — 1,485 103.3 — — — 33.3% -0.33 — +0.1
236 Martina Müller GER 336 58 – ▼ 267 2 11 15.4% 0 R128 R128 — — 1,460 94.4 -2.06 -1.22 0.661 22.6% -1.94 — +0.5
237 Julie Pullin GBR 337 57 – ▼ 146 0 1 0.0% 0 — — R128 — 1,448 96.0 +0.12 -2.27 0.760 0.0% -4.00 — -0.1
238 Asa Carlsson SWE 345 56 – ▼ 267 1 7 12.5% 0 R128 — — — 1,495 100.4 — — — 33.3% -1.22 — -0.1
239 Ryoko Fuda JPN 347 55 – ▲ 329 0 1 0.0% 0 — — — — 1,486 96.2 — — — 0.0% -4.00 — +0.0
240 Mirjana Lucic-Baroni CRO 348 55 – ▼ 145 0 2 0.0% 0 — — — — 1,524 101.6 — — — 20.0% -2.60 — -0.1
241 Rachel Mcquillan AUS 355 54 – ▼ 177 0 1 0.0% 0 R128 — — — 1,464 100.2 — — — 0.0% -1.50 — +0.0
242 Tatiana Golovin FRA 358 53 – ▲ 22 1 4 20.0% 0 — R128 — — 1,479 104.4 -1.25 -1.00 0.643 33.3% -0.50 — -0.1
243 Beier Ko SIN 359 53 – ▲ 122 0 1 0.0% 0 — — — — 1,491 100.9 — — — 0.0% -4.00 — +0.0
244 Shelley Stephens NZL 371 49 – ▼ 56 0 1 0.0% 0 — — — — 1,478 96.7 — — — 0.0% -4.50 — -0.1
245 Jessica Kirkland USA 372 48 – ▲ 723 0 1 0.0% 0 — — — — 1,493 97.8 — — — 0.0% -4.50 — -0.2
246 Kirsten Flipkens BEL 380 46 – ▲ 151 0 2 0.0% 0 — — — — 1,485 100.6 — — — 0.0% -2.50 — -0.2
247 Elena Baltacha GBR 382 46 – ▼ 225 0 3 0.0% 0 R128 — R128 — 1,491 107.9 -0.79 +0.01 1.032 20.0% -1.40 — -0.2
248 Kateryna Volodko UKR 384 45 – ▲ 259 1 2 33.3% 0 — — — — 1,493 99.7 — — — 33.3% -1.00 — +0.1
249 Sandra Klemenschits AUT 385 44 – ▲ 136 0 1 0.0% 0 — — — — 1,490 100.1 — — — 0.0% -2.50 — -0.1
250 Maika Ozaki JPN 388 44 – ▲ 142 0 1 0.0% 0 — — — — 1,488 88.0 — — — 0.0% -6.00 — -0.0
251 Sandra Cacic USA 395 43 – ▼ 73 1 2 33.3% 0 — — — — 1,548 101.1 — — — 28.6% -0.57 — +0.1
252 Lydia Steinbach GER 398 43 – ▼ 39 1 1 50.0% 0 — — — — 1,498 98.9 — — — 50.0% +0.25 — +0.3
253 Anne Kremer LUX 401 42 – ▼ 376 1 2 33.3% 0 R64 — — — 1,635 94.6 — — — 33.3% -1.33 — +0.6
254 Ting (sr) Li CHN 404 41 – ▲ 399 0 1 0.0% 0 — — — — 1,470 94.1 — — — 0.0% -5.00 — -0.1
255 Ilke Gers NZL 405 41 – ▲ 111 0 1 0.0% 0 — — — — 1,491 102.2 — — — 33.3% -2.33 — -0.1
256 Joanna Sakowicz-Kostecka POL 427 36 – ▼ 148 0 2 0.0% 0 — — — — 1,474 106.0 — — — 20.0% -2.20 — -0.2
257 Jamea Jackson USA 444 34 – ▲ 699 0 1 0.0% 0 — — — — 1,491 100.0 — — — 0.0% -3.50 — -0.1
258 Elke Clijsters BEL 446 34 – ▲ 200 0 3 0.0% 0 — — — — 1,451 104.2 — — — 0.0% -3.67 — -0.3
259 Ivanna Israilova RUS 448 34 – ▲ 493 0 1 0.0% 0 — — — — 1,471 99.3 — — — 0.0% -2.00 — +0.1
260 Jana Kandarr GER 451 33 – ▼ 320 1 1 50.0% 0 — — — — 1,538 105.0 — — — 50.0% +0.67 — 0.0
261 Leanne Baker NZL 456 32 – ▼ 84 0 1 0.0% 0 — — — — 1,494 99.4 — — — 33.3% -1.33 — -0.0
262 Ana Lucia Migliarini De Leon URU 461 31 – ▼ 83 0 1 0.0% 0 — — — — 1,484 95.6 — — — 0.0% -4.00 — +0.1
263 Sania Mirza IND 462 31 – ▲ 46 0 1 0.0% 0 — — — — 1,485 97.3 — — — 33.3% -1.67 — +0.1
264 Maki Arai JPN 470 30 – ▲ 180 0 1 0.0% 0 — — — — 1,483 94.8 — — — 0.0% -4.50 — +0.1
265 Shadisha Robinson USA 474 29 – ▲ 130 0 1 0.0% 0 — — — — 1,492 95.2 — — — 0.0% -5.00 — -0.0
266 Petra Dizdar CRO 537 22 – ▲ 82 0 1 0.0% 0 — — — — 1,493 99.6 — — — 0.0% -4.50 — -0.2
267 Amanda Grahame AUS 576 18 – ▼ 401 0 1 0.0% 0 — — — — 1,478 101.6 — — — 33.3% +0.33 — -0.1
268 Manisha Malhotra IND 592 17 – ▼ 246 0 1 0.0% 0 — — — — 1,486 100.3 — — — 33.3% -1.33 — +0.0
269 Cindy Watson AUS 600 17 – ▼ 439 0 1 0.0% 0 — — — — 1,519 101.3 — — — 0.0% -2.50 — -0.1
270 Melissa Torres Sandoval MEX 732 10 – ▼ 428 0 1 0.0% 0 — — — — 1,486 94.7 — — — 0.0% -5.00 — +0.0
271 Tiffany Welford AUS 773 8 – ▼ 191 0 1 0.0% 0 — — — — 1,494 102.9 — — — 0.0% -3.00 — -0.2
272 Adriana Szili AUS 782 8 – ▼ 324 0 1 0.0% 0 R128 — — — 1,490 97.3 — — — 0.0% -3.50 — 0.0
273 Joannette Kruger RSA 853 6 – ▼ 398 0 5 0.0% 0 — R128 — — 1,531 103.1 -1.38 +1.09 0.673 16.7% -2.50 — -0.4
274 Emma Laine FIN 870 5 – ▼ 27 0 1 0.0% 0 — — — — 1,472 93.0 — — — 0.0% -5.00 — +0.1
275 Eva Dyrberg DEN 885 5 – ▼ 784 0 1 0.0% 0 R128 — — — 1,522 100.1 — — — 0.0% -3.00 — -0.0
276 Theresa Logar USA 928 4 – ▼ 32 0 1 0.0% 0 — — — R128 1,483 97.4 -1.34 -0.64 0.547 0.0% -3.00 — +0.2
277 Stephanie Foretz Gacon FRA — — – — 12 15 44.4% 0 R64 R64 R128 R128 1,589 115.5 -3.06 +0.16 0.879 43.3% -0.53 104.2 +1.0
278 Andreea Ehritt Vanc ROU — — – — 1 2 33.3% 0 — — — — 1,473 105.7 — — — 42.9% 0.00 — +0.2
279 Darija Jurak CRO — — – — 0 1 0.0% 0 — — — — 1,486 100.1 — — — 0.0% -3.50 — +0.0
280 Edina Gallovits Hall ROU — — – — 0 1 0.0% 0 — R128 — — 1,490 97.5 +0.73 +1.48 0.600 0.0% -5.50 — -0.1
281 Leslie Koffi USA — — – — 0 1 0.0% 0 — — — — 1,494 98.3 — — — 0.0% -4.50 — -0.1
282 Michaella Krajicek NED — — – — 0 1 0.0% 0 — — — — 1,489 95.6 — — — 0.0% -4.00 — +0.0
283 Pichittra Thongdach THA — — – — 0 1 0.0% 0 — — — — 1,485 98.9 — — — 33.3% -1.33 — +0.1
284 Romy Farah COL — — – — 0 1 0.0% 0 — — — — 1,471 96.5 — — — 33.3% -2.67 — +0.1
285 Ruxandra Dragomir Ilie ROU — — – — 0 2 0.0% 0 — — — — 1,510 98.8 — — — 0.0% -3.00 — +0.1
286 Sophie Lefevre FRA — — – — 0 1 0.0% 0 — R128 — — 1,479 99.8 -2.22 -1.54 0.975 33.3% -1.00 — +0.2
287 Vanessa Henke GER — — – — 0 1 0.0% 0 — — — — 1,477 97.1 — — — 0.0% -5.00 — -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.

View the full tennis statistics glossary →

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