Rankings as of: Dec 27, 2004

WTA 2004 Season Leaders & Rankings

Rankings, leaderboards, and performance stats by season.

Lindsay Davenport finished 2004 at WTA No. 1 with 4,760 points.

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Rankings Leaders

Ranking points, results, and season metrics for 2004.

289 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 Lindsay Davenport USA 1 4,760 – ▲ 4 64 10 86.5% 7 QF R16 SF SF 2,208 171.1 +7.65 +5.05 1.482 83.1% +2.56 100.2 -0.5
2 Amélie Mauresmo FRA 2 4,546 – ▲ 2 61 12 83.6% 5 QF QF SF QF 2,178 168.3 +7.28 +5.47 1.468 78.5% +2.20 104.3 -0.5
3 Anastasia Myskina RUS 3 4,012 – ▲ 4 49 18 73.1% 3 QF W R32 R64 2,043 167.4 +2.89 +5.17 1.223 67.7% +1.35 100.6 -2.2
4 Maria Sharapova RUS 4 3,536 – ▲ 28 55 16 77.5% 5 R32 QF W R32 2,074 160.2 +5.99 +3.49 1.370 70.6% +1.66 106.7 -0.8
5 Svetlana Kuznetsova RUS 5 3,533 – ▲ 30 57 20 74.0% 3 R32 R16 R128 W 2,031 163.4 +5.05 +2.22 1.230 68.5% +1.26 109.0 -2.1
6 Elena Dementieva RUS 6 3,448 – ▲ 2 40 23 63.5% 1 R128 F R128 F 1,975 161.0 -0.64 +4.50 1.046 58.0% +0.42 108.8 -2.5
7 Serena Williams USA 7 3,128 – ▼ 4 39 11 78.0% 2 — QF F QF 2,225 163.6 +6.68 +4.43 1.416 74.8% +1.90 96.9 -0.4
8 Justine Henin BEL 8 2,884 – ▼ 7 36 4 90.0% 5 W R64 — R16 2,222 165.8 +3.52 +5.52 1.296 84.7% +2.27 104.0 -0.4
9 Venus Williams USA 9 2,400 – ▲ 2 42 14 75.0% 2 R32 QF R64 R16 2,077 159.0 +4.27 +3.93 1.315 75.7% +1.99 99.4 +0.7
10 Jennifer Capriati USA 10 2,359 – ▼ 4 29 12 70.7% 0 — SF QF SF 2,020 149.6 +5.09 +3.12 1.238 65.6% +1.08 101.8 -1.1
11 Vera Zvonareva RUS 11 2,299 – ▲ 2 54 27 66.7% 1 R16 R32 R16 R16 1,926 159.6 +2.15 +4.28 1.171 63.7% +0.91 104.9 -1.0
12 Nadia Petrova RUS 12 2,022 – ▶ 0 40 25 61.5% 0 R128 R32 R16 QF 1,879 151.4 +3.04 +0.66 1.141 61.4% +1.02 95.7 +1.8
13 Alicia Molik AUS 13 1,970 – ▲ 23 42 19 68.8% 3 R16 R128 R32 R64 1,977 154.9 +4.02 +1.09 1.244 66.4% +1.05 104.1 -3.2
14 Patty Schnyder SUI 14 1,638 – ▲ 9 33 23 58.9% 0 SF R64 R64 R16 1,808 142.7 +3.52 +0.81 1.159 59.7% +0.61 99.4 +1.4
15 Elena Bovina RUS 15 1,598 – ▲ 6 37 18 67.3% 1 R64 R32 R64 R32 1,958 154.4 +1.40 +1.73 1.094 62.6% +0.99 105.7 -1.1
16 Paola Suarez ARG 16 1,535 – ▼ 2 38 18 67.9% 1 R32 SF QF R32 1,797 134.6 +1.65 +4.08 1.230 63.6% +0.92 98.6 +2.5
17 Ai Sugiyama JPN 17 1,469 – ▼ 7 33 23 58.9% 1 R64 R64 QF R16 1,808 144.1 +0.61 +2.40 1.121 57.5% +0.58 97.4 +2.4
18 Karolina Sprem CRO 18 1,451 – ▲ 41 32 23 58.2% 0 R128 R128 QF R128 1,761 145.8 -0.31 -1.03 0.870 58.1% +0.55 101.9 -1.2
19 Francesca Schiavone ITA 19 1,403 – ▲ 1 35 23 60.3% 0 R64 R16 R64 R16 1,839 144.5 +1.62 -0.20 1.017 56.1% +0.32 107.4 +0.1
20 Silvia Farina Elia ITA 20 1,334 – ▲ 4 42 24 63.6% 0 R16 R64 R16 R32 1,769 142.3 +0.56 +2.59 1.099 58.4% +0.63 107.1 +0.7
21 Nathalie Dechy FRA 21 1,331 – ▲ 8 33 24 57.9% 0 R16 R128 R32 R32 1,809 147.7 +1.35 +0.63 1.034 57.9% +0.62 95.0 -1.4
22 Kim Clijsters BEL 22 1,326 – ▼ 20 18 4 81.8% 2 F — — — 2,246 155.4 +3.47 +3.81 1.426 90.2% +2.95 102.2 -0.1
23 Fabiola Zuluaga COL 23 1,296 – ▲ 15 29 20 59.2% 1 SF R16 R128 R32 1,752 138.7 +2.34 +0.87 1.125 54.3% +0.26 106.7 +0.8
24 Elena Likhovtseva RUS 24 1,270 – ▲ 13 26 24 52.0% 1 R32 R64 R64 R128 1,820 143.6 +1.45 +1.57 1.088 50.4% -0.33 102.1 -1.7
25 Magdalena Maleeva BUL 25 1,179 – ▲ 5 28 25 52.8% 0 R64 R16 R16 R64 1,695 138.3 +0.28 +2.23 1.082 52.0% +0.26 94.6 -0.1
26 Amy Frazier USA 26 1,149 – ▲ 35 35 17 67.3% 1 R32 R128 R16 R32 1,825 140.0 +0.10 +2.08 1.076 63.9% +0.95 99.8 +0.7
27 Tatiana Golovin FRA 27 1,126 – ▲ 331 27 15 64.3% 0 R16 R128 R16 R32 1,748 139.2 -0.81 +2.08 1.016 58.1% +0.63 98.9 -1.1
28 Jelena Jankovic SRB 28 1,062 – ▲ 57 27 26 50.9% 1 R64 R128 R128 R64 1,745 139.9 -1.12 +2.19 0.989 53.7% +0.12 107.5 -0.9
29 Mary Pierce FRA 29 1,043 – ▲ 4 25 17 59.5% 1 — R32 R128 R16 1,785 145.7 +5.15 -0.28 1.246 59.6% +1.00 94.9 -1.9
30 Lisa Raymond USA 30 1,032 – ▼ 3 20 19 51.3% 0 QF R64 R64 R32 1,760 142.2 +2.54 -0.29 1.089 48.9% +0.05 103.9 +0.4
31 Daniela Hantuchova SVK 31 971 – ▼ 12 25 25 50.0% 0 R64 R128 R32 R32 1,710 131.4 +0.32 -0.58 0.910 46.7% -0.17 103.9 -0.7
32 Anna Smashnova ISR 32 932 – ▼ 16 28 24 53.9% 1 R64 R32 R128 R128 1,709 136.5 -2.30 +0.59 0.788 55.7% +0.50 102.3 +1.6
33 Gisela Dulko ARG 33 908 – ▲ 92 22 19 53.7% 0 R128 R32 R32 R64 1,705 135.1 +1.79 -0.44 1.017 52.9% -0.25 106.2 -0.9
34 Eleni Daniilidou GRE 34 907 – ▼ 8 23 20 53.5% 1 R32 R128 R128 R16 1,716 141.0 +1.29 +1.68 1.128 55.9% +0.45 101.4 +1.6
35 Jelena Kostanic Tosic CRO 35 836 – ▲ 31 22 26 45.8% 0 R128 R64 R128 R32 1,665 129.7 -1.40 -1.09 0.823 45.4% -0.19 105.6 -0.7
36 Iveta Benesova CZE 36 814 – ▲ 96 25 20 55.6% 1 — R128 R128 R64 1,646 128.5 — — — 53.9% +0.09 106.0 +0.3
37 Shinobu Asagoe JPN 37 813 – ▲ 8 19 22 46.3% 0 R128 R16 R128 QF 1,633 121.9 -0.67 -0.92 0.898 45.2% -0.45 100.7 +0.7
38 Flavia Pennetta ITA 38 811 – ▲ 31 30 22 57.7% 1 R128 R128 R128 R128 1,667 125.4 -0.89 -0.43 0.926 56.5% +0.58 101.4 +1.3
39 Anabel Medina Garrigues ESP 39 803 – ▲ 32 25 23 52.1% 1 R32 R64 R128 R64 1,708 129.8 +1.41 +0.60 1.118 53.7% +0.07 98.9 -1.5
40 Meghann Shaughnessy USA 40 785 – ▼ 23 20 22 47.6% 0 R128 R32 R32 R128 1,662 135.5 +1.00 -1.59 0.925 50.0% +0.18 96.1 +1.2
41 Marion Bartoli FRA 41 765 – ▲ 17 26 23 53.1% 0 R64 R128 R32 R64 1,674 131.9 -1.04 +1.09 0.984 58.8% +0.71 95.2 +0.4
42 Conchita Martínez ESP 42 761 – ▼ 24 20 17 54.0% 0 R128 R64 R128 R128 1,752 150.1 +1.60 +0.47 1.017 54.9% +0.76 91.9 -0.8
43 Maria Elena Camerin ITA 43 760 – ▲ 57 22 20 52.4% 0 R64 R64 R64 R64 1,663 123.4 -1.01 -0.43 0.934 49.0% -0.09 107.2 -0.1
44 Dinara Safina RUS 44 756 – ▲ 10 20 19 51.3% 0 R32 R64 R128 R128 1,713 138.8 -1.62 -0.49 0.830 51.2% +0.20 96.6 -1.3
45 Emilie Loit FRA 45 748 – ▼ 4 29 20 59.2% 2 R64 R64 R128 R128 1,668 124.9 -0.94 -1.99 0.870 59.8% +0.45 102.5 +1.1
46 Klara Koukalova CZE 46 714 – ▲ 17 26 23 53.1% 0 R128 R64 R64 R128 1,611 117.6 — — — 49.5% -0.07 103.5 +0.7
47 Kristina Brandi PUR 47 674 – ▲ 28 23 21 52.3% 0 R64 R128 R64 R64 1,617 131.3 -1.60 -0.84 0.869 53.5% +0.43 100.4 -0.6
48 Maria Vento-Kabchi VEN 48 673 – ▼ 4 19 27 41.3% 0 R128 R64 R64 R32 1,637 126.5 -2.36 +1.05 0.849 42.9% -0.59 97.6 -0.2
49 Marta Marrero ESP 49 654 – ▲ 49 21 21 50.0% 0 R128 R64 R128 R128 1,573 123.2 -1.84 -1.25 0.828 50.0% -0.15 107.9 +0.6
50 Nicole Pratt AUS 50 650 – ▲ 3 21 22 48.8% 1 R32 R64 R128 R64 1,627 117.6 -0.23 -0.93 0.907 46.9% -0.65 108.4 -0.1
51 María Sánchez Lorenzo ESP 51 649 – ▼ 9 22 26 45.8% 0 R128 R64 R64 R128 1,639 124.7 -0.83 -1.34 0.775 44.1% -0.46 104.7 -2.8
52 Chanda Rubin USA 52 641 – ▼ 43 18 11 62.1% 0 R16 — R128 R32 1,858 136.0 +2.06 +2.08 1.157 58.7% +0.65 96.4 +0.0
53 Mashona Washington USA 53 635 – ▲ 146 13 12 52.0% 0 — — R64 R128 1,581 124.4 -0.46 +0.14 0.897 51.8% +0.25 — +0.4
54 Denisa Chladkova CZE 54 629 – ▼ 11 21 20 51.2% 0 R64 R32 R32 R128 1,697 124.8 +0.92 -0.86 1.000 48.9% -0.10 101.9 -0.6
55 Alina Jidkova RUS 55 604 – ▲ 42 16 22 42.1% 0 R128 R128 R128 R128 1,592 126.7 -0.08 -0.85 0.886 44.9% -0.17 99.5 +0.4
56 Martina Sucha SVK 56 587 – ▲ 33 20 19 51.3% 1 R128 R128 R128 R128 1,610 109.3 -1.31 -3.24 0.674 48.9% -0.17 105.1 +2.5
57 Barbora Strycova CZE 57 585 – ▲ 85 14 16 46.7% 0 R64 R64 R128 R128 1,560 125.3 -0.39 +0.06 0.982 44.6% -0.23 102.3 +0.5
58 Tathiana Garbin ITA 58 583 – ▲ 24 12 19 38.7% 0 R128 R32 R128 R64 1,547 122.1 +1.14 +0.66 1.149 42.9% -0.27 88.3 -0.0
59 Jill Craybas USA 59 565 – ▲ 40 12 21 36.4% 0 R32 R128 R64 R64 1,496 110.5 +0.38 -0.09 1.027 36.4% -0.95 99.3 +1.3
60 Virginie Razzano FRA 60 561 – ▲ 12 7 8 46.7% 0 — R64 R32 R128 1,593 104.5 -0.89 -1.63 0.911 46.9% -0.69 100.4 +0.4
61 Claudine Schaul LUX 61 555 – ▲ 19 13 21 38.2% 1 R32 R128 R128 R128 1,552 117.8 -0.10 -0.05 0.966 40.0% -1.04 98.1 -0.4
62 Dally Randriantefy MAD 62 554 – ▲ 40 7 10 41.2% 0 R128 R128 R128 R64 1,584 119.2 -2.18 -0.85 0.724 42.9% -0.76 — -0.3
63 Vera Dushevina RUS 63 545 – ▲ 50 12 16 42.9% 0 R64 R64 R128 R32 1,588 122.0 -0.64 +0.96 0.997 40.6% -0.61 105.7 +0.7
64 Virginia Ruano Pascual ESP 64 518 – ▼ 9 12 16 42.9% 0 R64 R32 R32 R64 1,645 113.0 +0.06 +0.93 1.096 46.0% -0.48 95.3 -0.6
65 Samantha Stosur AUS 65 516 – ▲ 98 17 17 50.0% 0 R64 R128 R128 R64 1,605 118.2 -0.27 -2.88 0.756 51.3% -0.46 102.6 -1.3
66 Tamarine Tanasugarn THA 66 515 – ▼ 32 19 25 43.2% 0 R128 R128 R16 R128 1,609 121.0 -2.76 -1.27 0.751 45.7% -0.05 92.4 +1.6
67 Akiko Morigami JPN 67 508 – ▼ 5 16 23 41.0% 0 R64 R128 R128 R64 1,596 122.6 -0.53 +1.15 1.023 45.8% -0.13 97.1 -1.1
68 Anna-Lena Groenefeld GER 68 507 – ▲ 50 7 15 31.8% 0 — R64 R128 R128 1,478 112.5 +1.14 +0.30 1.285 34.1% -0.61 — +0.2
69 Shenay Perry USA 69 506 – ▲ 75 9 14 39.1% 0 R128 R64 R128 R128 1,509 113.0 -0.23 -0.95 0.909 38.8% -0.65 99.6 -0.1
70 Arantxa Parra Santonja ESP 70 504 – ▼ 3 17 26 39.5% 0 R128 R32 R64 R64 1,590 121.3 -0.67 +1.07 0.992 39.8% -0.88 101.1 -0.1
71 Marlene Weingartner GER 71 502 – ▼ 24 13 17 43.3% 0 R128 R16 R128 R128 1,630 114.1 -1.58 +1.70 0.953 43.1% -0.66 102.5 -0.7
72 Marissa Irvin USA 72 502 – ▲ 69 7 13 35.0% 0 — R32 R128 R128 1,499 126.9 — — — 38.6% -0.23 93.1 +0.6
73 Marta Domachowska POL 73 497 – ▲ 179 12 7 63.2% 0 — — — — 1,611 129.9 — — — 59.0% +0.85 104.7 +0.3
74 Laura Granville USA 74 490 – ▼ 28 17 19 47.2% 0 R32 R128 R128 R128 1,600 113.5 -0.02 -1.05 0.945 46.3% -0.39 99.5 +1.6
75 Nicole Vaidisova CZE 75 489 – ▲ 189 14 5 73.7% 2 — — — R128 1,672 120.2 -1.78 -0.72 0.682 60.5% +0.53 — +0.6
76 Nuria Llagostera Vives ESP 76 467 – ▲ 64 4 6 40.0% 0 — — R64 R128 1,485 108.9 -1.40 -1.05 0.800 44.0% -0.08 98.0 -0.1
77 Tatiana Panova RUS 77 467 – ▲ 37 8 14 36.4% 0 R128 — R32 R128 1,596 115.0 -1.24 -2.66 0.643 37.8% -1.11 97.3 -0.3
78 Na Li CHN 78 463 – ▲ 129 6 1 85.7% 1 — — — — 1,599 125.7 — — — 81.3% +1.81 — +0.2
79 Jie Zheng CHN 79 457 – ▲ 5 10 18 35.7% 0 R128 R16 R128 R128 1,546 127.3 -2.88 -1.53 0.755 39.7% -0.48 — +0.2
80 Shuai Peng CHN 80 454 – ▲ 141 5 4 55.6% 0 — — R128 — 1,516 114.6 — — — 50.0% +0.60 — +0.2
81 Petra Mandula HUN 81 452 – ▼ 41 12 18 40.0% 0 R32 R64 R128 R128 1,602 126.8 -1.23 +1.53 1.037 43.5% -0.17 98.4 +1.1
82 Yuliana Fedak UKR 82 429 – ▲ 127 4 6 40.0% 0 R64 R64 — — 1,526 118.0 +0.09 +1.80 1.189 45.8% -0.21 — +0.0
83 Anna Chakvetadze RUS 83 429 – ▲ 291 2 3 40.0% 0 — — — R32 1,527 120.5 +0.93 +0.41 0.997 46.2% -0.15 — -0.2
84 Anca Barna GER 84 425 – ▼ 36 16 28 36.4% 0 R64 R128 R128 R128 1,539 109.6 -1.15 -1.61 0.830 37.9% -0.94 101.7 -0.1
85 Aniko Kapros HUN 85 424 – ▲ 7 12 14 46.1% 0 R16 R128 R64 R128 1,599 118.4 -1.80 +0.89 0.966 46.7% -0.17 — -0.8
86 Mara Santangelo ITA 86 410 – ▲ 52 8 14 36.4% 0 R16 R128 R128 R128 1,489 110.4 -0.81 -1.76 0.806 34.0% -1.25 106.8 -0.2
87 Katarina Srebotnik SLO 87 408 – ▼ 48 14 19 42.4% 0 R128 R32 R64 R64 1,604 113.1 -1.79 +0.77 0.946 42.3% -0.62 94.7 +0.3
88 Lubomira Kurhajcova SVK 88 407 – ▼ 2 15 21 41.7% 0 R128 R128 R128 R128 1,556 117.6 -0.63 -3.81 0.684 47.6% -0.17 93.5 -0.5
89 Lindsay Lee-Waters USA 89 404 – ▲ 27 9 16 36.0% 0 R64 R128 R128 R64 1,497 118.7 +0.58 -1.44 0.869 41.4% -0.83 96.9 +0.1
90 Barbara Schett AUT 90 403 – ▼ 14 14 18 43.8% 0 R64 R128 R128 R128 1,574 114.7 -0.23 -0.21 0.988 43.8% -0.29 94.9 +0.9
91 Tatiana Perebiynis UKR 91 396 – ▼ 13 10 15 40.0% 0 R128 R32 R32 R128 1,576 115.8 -1.40 +0.18 0.913 46.4% -0.41 92.3 +0.6
92 Kveta Peschke CZE 93 394 – ▲ 149 3 3 50.0% 0 — R64 — — 1,675 115.7 +1.25 +0.61 1.094 50.0% +0.36 — -0.1
93 Anne Kremer LUX 94 383 – ▲ 307 12 15 44.4% 0 — — R32 — 1,606 116.6 — — — 45.2% -0.32 97.5 -0.3
94 Evgenia Linetskaya ISR 95 381 – ▲ 127 4 3 57.1% 0 — — — R64 1,534 103.0 -1.24 -1.01 0.982 50.0% +0.05 — +0.4
95 Ludmila Cervanova SVK 96 380 – ▼ 32 15 17 46.9% 0 R64 R128 R32 R128 1,625 110.3 -1.96 -2.43 0.757 46.6% -0.70 104.2 -0.6
96 Abigail Spears USA 97 375 – ▲ 115 7 6 53.9% 0 — — — R128 1,535 111.7 -1.26 -0.98 0.822 54.8% +0.23 101.7 +1.1
97 Severine Beltrame FRA 98 375 – ▲ 41 5 9 35.7% 0 — R128 R128 R64 1,492 108.4 -1.69 -0.82 0.839 34.4% -0.88 103.8 +0.2
98 Michaela Pastikova CZE 99 374 – ▲ 38 2 5 28.6% 0 — — — — 1,520 118.6 — — — 28.6% -1.29 — -0.6
99 Antonella Serra Zanetti ITA 100 370 – ▲ 11 9 13 40.9% 0 R64 — — R64 1,525 113.3 -0.92 +0.28 0.990 38.6% -0.70 — -0.3
100 Ana Ivanovic SRB 101 369 – ▲ 509 3 4 42.9% 0 — — — — 1,542 117.4 — — — 41.2% -0.12 100.3 -0.5
101 Mariana Diaz-Oliva ARG 102 368 – ▲ 70 5 10 33.3% 0 R64 R128 — — 1,539 108.8 -1.83 -0.74 0.856 32.4% -1.12 102.8 -0.2
102 Magui Serna ESP 103 356 – ▼ 81 11 18 37.9% 0 R128 R64 R32 R64 1,652 120.4 +0.08 -2.58 0.827 38.5% -0.91 100.1 -0.7
103 Rita Grande ITA 104 354 – ▼ 34 12 18 40.0% 0 R128 R64 R16 R128 1,536 104.3 -0.87 -1.71 0.916 44.6% -0.70 100.9 +1.3
104 Emmanuelle Gagliardi SUI 105 352 – ▼ 49 8 18 30.8% 0 R64 R128 R32 R128 1,524 104.1 -0.28 -2.38 0.796 33.9% -1.36 98.5 +0.1
105 Sanda Mamic CRO 106 351 – ▲ 99 6 6 50.0% 0 — R128 — — 1,556 120.7 -0.65 -0.79 0.742 51.9% +0.30 — +0.3
106 Maria Kirilenko RUS 107 349 – ▲ 17 8 9 47.1% 0 — R64 R128 R64 1,575 122.0 -0.20 -0.34 0.970 50.0% -0.11 99.2 -0.4
107 Julia Schruff GER 108 347 – ▲ 9 5 12 29.4% 0 — R128 — R64 1,480 105.8 -1.07 -0.37 1.014 36.8% -0.66 96.6 +0.6
108 Saori Obata JPN 109 341 – ▼ 60 8 19 29.6% 0 R32 R128 R64 R128 1,488 107.8 -2.44 +1.59 0.958 33.3% -1.02 99.0 +1.0
109 Alona Bondarenko UKR 110 336 – ▲ 77 1 1 50.0% 0 — — — — 1,481 96.5 — — — 40.0% -0.60 — -0.0
110 Tzipora Obziler ISR 111 336 – ▲ 36 2 5 28.6% 0 R64 R128 — R64 1,488 110.6 -0.17 -0.61 0.945 33.3% -1.40 — +0.2
111 Stéphanie Cohen-Aloro FRA 112 330 – ▼ 44 7 17 29.2% 0 R128 R128 R128 R128 1,488 106.9 -2.13 -2.41 0.689 36.8% -0.98 — -0.6
112 Catalina Castano COL 113 326 – ▲ 22 5 9 35.7% 0 — R128 R128 R128 1,533 115.0 -2.87 -1.32 0.653 37.1% -0.97 — -0.8
113 Silvija Talaja CRO 114 324 – ▼ 21 10 14 41.7% 0 R128 R32 R64 R128 1,545 112.4 -0.46 -1.30 0.878 46.4% -0.21 — +0.2
114 María Emilia Salerni ARG 115 320 – ▲ 58 7 3 70.0% 0 — — — — 1,541 120.5 — — — 69.6% +1.35 100.3 +0.3
115 Roberta Vinci ITA 116 318 – ▲ 3 4 8 33.3% 0 — R128 — R128 1,507 106.2 -1.92 -0.61 0.697 39.3% -0.50 — -0.4
116 Camille Pin FRA 117 314 – ▲ 52 4 7 36.4% 0 R64 R128 — R128 1,494 119.2 -0.33 -1.58 0.871 34.8% -0.35 99.0 -0.0
117 Selima Sfar TUN 118 309 – ▲ 36 3 3 50.0% 0 — — — — 1,521 115.0 — — — 22.2% -2.00 — -0.3
118 Lilia Osterloh USA 119 301 – ▲ 61 4 5 44.4% 0 — — — — 1,561 130.0 — — — 47.6% -0.38 — -0.6
119 Myriam Casanova SUI 120 291 – ▼ 17 4 8 33.3% 0 R128 R32 R128 R128 1,624 117.3 -1.09 +1.22 0.997 36.7% -0.63 — -0.2
120 Marie-Gayanay Mikaelian SUI 121 289 – ▼ 56 5 13 27.8% 0 R128 R128 R128 — 1,594 111.6 -1.91 -2.07 0.612 32.4% -1.73 — -1.0
121 Els Callens BEL 122 286 – ▼ 49 5 15 25.0% 0 R128 R128 R64 R64 1,539 102.6 -1.13 -2.60 0.779 33.3% -1.44 97.1 -0.1
122 Ashley Harkleroad USA 123 281 – ▼ 71 8 12 40.0% 0 R128 R64 R128 — 1,581 123.9 -1.88 -0.09 0.856 42.9% -0.62 99.0 -0.4
123 Jelena Dokic AUS 124 281 – ▼ 109 7 16 30.4% 0 — R128 R128 R128 1,572 109.3 -1.18 -3.35 0.666 32.1% -1.30 95.1 +1.4
124 Evie Dominikovic AUS 125 277 – ▲ 9 1 2 33.3% 0 R64 — — — 1,514 99.2 -0.70 -0.74 1.015 44.4% -1.00 — +0.2
125 Tiantian Sun CHN 126 273 – ▲ 3 2 9 18.2% 0 — — R64 — 1,429 103.5 — — — 24.0% -1.68 — -0.0
126 Capucine Rousseau FRA 127 272 – ▲ 96 0 1 0.0% 0 — — — — 1,489 96.2 — — — 0.0% -5.00 — -0.1
127 Melinda Czink HUN 128 271 – ▼ 49 2 16 11.1% 0 R64 R128 R128 R128 1,427 98.7 -0.95 -0.17 0.894 21.4% -2.07 — -0.2
128 Zuzana Ondraskova CZE 129 270 – ▼ 41 2 7 22.2% 0 R128 — — — 1,459 104.7 -1.12 -1.77 0.612 31.8% -0.95 — -0.1
129 Julia Vakulenko UKR 130 270 – ▼ 36 10 18 35.7% 0 R64 R128 R128 R64 1,476 114.2 -0.14 -0.77 0.943 41.0% -0.59 100.8 +0.6
130 Tina Pisnik SLO 131 268 – ▼ 100 8 23 25.8% 0 R128 R128 R128 R128 1,536 108.7 -2.55 -0.52 0.706 37.1% -0.90 91.2 +0.8
131 Kelly Mccain USA 132 264 – ▲ 94 2 5 28.6% 0 — R128 — R128 1,501 106.7 -0.10 -2.11 0.634 33.3% -1.61 — -0.2
132 Sesil Karatantcheva BUL 133 262 – ▲ 151 7 5 58.3% 0 — — — R128 1,564 113.8 -1.46 -1.14 0.456 58.6% +0.17 — +0.3
133 Milagros Sequera VEN 134 261 – ▼ 57 8 15 34.8% 0 R128 R128 R64 R128 1,514 105.5 -3.68 -1.62 0.656 37.0% -1.02 101.1 -0.4
134 Aiko Nakamura JPN 135 254 – ▲ 96 1 2 33.3% 0 — — — — 1,505 108.0 — — — 33.3% -1.17 — -0.3
135 Angela Haynes USA 136 252 – ▲ 48 2 5 28.6% 0 — — — R32 1,477 110.0 +1.14 -1.02 1.050 26.7% -0.80 — +0.1
136 Jennifer Hopkins USA 137 252 – ▲ 22 2 7 22.2% 0 R128 — R64 R128 1,429 95.3 -0.87 -2.43 0.652 26.3% -2.32 — +0.1
137 Cara Black ZIM 138 251 – ▼ 87 6 21 22.2% 0 R64 R128 R128 R64 1,473 105.4 -1.30 -2.07 0.845 26.6% -1.61 98.4 +0.8
138 Angelique Widjaja INA 139 250 – ▼ 44 5 8 38.5% 0 R128 — R128 R128 1,555 108.3 -0.95 -1.00 0.847 40.6% -0.75 — +0.6
139 Galina Voskoboeva KAZ 140 249 – ▲ 16 3 4 42.9% 0 — — — — 1,503 103.3 — — — 37.5% -0.56 — +0.3
140 Lina Krasnoroutskaya RUS 141 248 – ▼ 113 7 13 35.0% 0 R32 — R128 — 1,654 119.7 +0.11 -0.29 0.998 41.3% -0.57 93.0 -0.1
141 Anastasiya Yakimova BLR 143 243 – ▲ 132 1 2 33.3% 0 — — — — 1,485 97.8 — — — 37.5% -0.37 — +0.3
142 Virag Nemeth HUN 144 240 – ▲ 62 0 1 0.0% 0 — — — — 1,467 95.0 — — — 0.0% -5.00 — -0.1
143 Sandra Kleinova CZE 145 236 – ▼ 58 5 13 27.8% 0 R128 R128 R64 R128 1,501 114.9 -1.61 -2.98 0.752 33.3% -1.28 — -0.8
144 Lenka Nemeckova CZE 146 233 – ▲ 36 1 2 33.3% 0 — — — — 1,505 103.7 — — — 33.3% -1.67 — +0.2
145 Vilmarie Castellvi PUR 147 232 – ▲ 73 1 2 33.3% 0 — — — — 1,488 97.6 — — — 33.3% -1.00 — +0.3
146 Marie-Ève Pelletier CAN 148 229 – ▲ 55 0 5 0.0% 0 R128 — — — 1,358 98.0 -0.12 -0.60 0.945 16.7% -1.75 — +0.1
147 Lioudmila Skavronskaia RUS 149 226 – ▲ 36 1 3 25.0% 0 — — — — 1,517 102.3 — — — 22.2% -2.00 — +0.2
148 Conchita Martínez Granados ESP 150 222 – ▼ 43 5 8 38.5% 0 R128 R128 — — 1,520 98.8 -1.13 -1.37 0.675 36.7% -1.27 104.2 +0.1
149 Virginie Pichet FRA 152 220 – ▲ 39 0 1 0.0% 0 — R128 — — 1,493 108.0 +3.08 +6.89 0.791 0.0% -3.00 — -0.2
150 Henrieta Nagyova SVK 153 219 – ▼ 62 5 11 31.2% 0 R128 R128 R64 R128 1,570 98.4 -2.57 -1.27 0.712 24.2% -1.97 — -0.3
151 Delia Sescioreanu ROM 154 219 – ▲ 101 1 1 50.0% 0 — — — — 1,507 105.2 — — — 60.0% +0.20 — -0.0
152 Ekaterina Bychkova RUS 155 217 – ▲ 199 1 1 50.0% 0 — — — — 1,504 101.3 — — — 50.0% 0.00 — +0.1
153 Jamea Jackson USA 156 216 – ▲ 288 2 5 28.6% 0 — — — R128 1,482 106.1 -0.74 -0.28 0.892 46.7% -0.07 — -0.0
154 Eva Birnerova CZE 157 215 – ▼ 52 2 8 20.0% 0 R128 R128 R128 — 1,415 98.8 -2.30 -1.62 0.733 23.8% -1.33 — +0.5
155 Yuka Yoshida JPN 158 214 – ▼ 22 2 6 25.0% 0 — — — — 1,473 96.4 — — — 20.0% -2.73 — +0.1
156 Shikha Uberoi IND 159 214 – ▲ 237 1 2 33.3% 0 — — — R64 1,506 108.2 +1.42 -1.15 0.632 28.6% -1.71 — -0.1
157 Paula Garcia ESP 160 214 – ▲ 87 0 1 0.0% 0 — — — — 1,457 96.0 — — — 0.0% -4.00 — +0.1
158 Rika Fujiwara JPN 161 212 – ▲ 57 2 2 50.0% 0 — — — — 1,447 102.1 — — — 50.0% +0.13 — +0.3
159 Meilen Tu USA 162 211 – ▼ 19 2 4 33.3% 0 — — — — 1,464 95.0 — — — 30.8% -1.77 — +0.5
160 Teryn Ashley USA 163 211 – ▼ 51 2 9 18.2% 0 — R128 R64 R128 1,438 103.0 -1.21 -1.25 0.714 25.9% -1.63 — -0.0
161 Yuliya Beygelzimer UKR 164 208 – ▼ 42 2 6 25.0% 0 — R128 R128 — 1,444 105.1 -1.32 +0.17 0.741 27.8% -1.22 — -0.1
162 Emma Laine FIN 166 201 – ▲ 704 1 1 50.0% 0 — — — — 1,489 103.3 — — — 40.0% -1.20 — -0.2
163 Yvonne Meusburger AUT 167 198 – ▲ 107 2 2 50.0% 0 — — — — 1,517 105.1 — — — 50.0% -0.63 — -0.2
164 Kirsten Flipkens BEL 168 196 – ▲ 212 2 2 50.0% 0 — — — — 1,500 103.9 — — — 50.0% +0.30 — +0.2
165 Sania Mirza IND 169 196 – ▲ 293 0 2 0.0% 0 — — — — 1,468 104.9 — — — 33.3% -1.50 — -0.2
166 Libuse Prusova CZE 170 195 – ▲ 45 1 2 33.3% 0 R128 — — — 1,482 106.0 -1.02 -1.65 0.863 33.3% 0.00 — -0.0
167 Bahia Mouhtassine MAR 171 195 – ▲ 46 1 1 50.0% 0 — — — — 1,451 103.8 — — — 50.0% -0.25 — +0.0
168 Bethanie Mattek-Sands USA 172 194 – ▼ 14 2 3 40.0% 0 — — — R128 1,445 108.5 — — — 41.7% -0.09 — +0.3
169 Yoon Jeong Cho KOR 173 193 – ▼ 90 3 6 33.3% 0 — — — — 1,555 113.7 — — — 38.1% -0.19 97.4 -0.3
170 Ting (sr) Li CHN 174 191 – ▲ 230 5 3 62.5% 0 — — — — 1,548 125.3 — — — 61.1% +1.11 — -0.0
171 Sybille Bammer AUT 175 189 – ▼ 27 0 4 0.0% 0 — — — — 1,441 105.9 — — — 20.0% -1.50 — +0.0
172 Shahar Peer ISR 176 187 – ▲ 316 3 3 50.0% 0 — — — — 1,510 102.5 — — — 53.8% -0.08 — +0.4
173 Zsofia Gubacsi HUN 178 185 – ▲ 22 1 3 25.0% 0 — — — — 1,449 90.7 — — — 22.2% -2.22 — +0.3
174 Mervana Jugic-Salkic BIH 179 182 – ▼ 56 2 6 25.0% 0 — R128 R128 — 1,480 106.8 -0.19 -0.32 1.068 30.0% -0.70 99.8 -0.0
175 Anne Keothavong GBR 180 181 – ▼ 3 2 4 33.3% 0 — — R64 — 1,485 100.8 -1.08 -0.67 0.618 43.8% -0.81 — -0.3
176 Nannan Liu CHN 181 179 – ▲ 150 0 2 0.0% 0 — — — R128 1,457 103.2 +0.68 -0.54 0.734 0.0% -2.75 — -0.3
177 Maria Fernanda Alves BRA 182 178 – ▲ 32 0 1 0.0% 0 — — — — 1,471 98.5 — — — 33.3% -1.67 — +0.1
178 Maret Ani EST 183 177 – ▼ 50 0 1 0.0% 0 — — — — 1,493 102.3 — — — 33.3% -2.00 — -0.1
179 Elena Baltacha GBR 185 175 – ▲ 197 1 2 33.3% 0 — — R64 — 1,498 104.0 -0.78 +0.29 0.975 33.3% -0.50 — -0.1
180 Alice Canepa ITA 187 173 – ▲ 151 0 1 0.0% 0 — — — — 1,459 98.6 — — — 33.3% -1.00 — +0.0
181 Hanna Nooni SWE 188 172 – ▲ 84 0 1 0.0% 0 — — — — 1,494 103.5 — — — 0.0% -2.50 — -0.2
182 Martina Müller GER 189 172 – ▲ 147 0 3 0.0% 0 — — — — 1,422 91.3 — — — 14.3% -3.28 — +0.2
183 Maureen Drake CAN 191 170 – ▼ 76 0 4 0.0% 0 R128 — — R128 1,460 95.4 -2.78 -1.48 0.811 11.1% -2.78 — +0.0
184 Sunitha Rao IND 193 169 – ▲ 46 0 1 0.0% 0 — — — — 1,494 98.1 — — — 33.3% -0.67 — +0.1
185 Suchanun Viratprasert THA 194 167 – ▲ 59 0 1 0.0% 0 — — — — 1,472 97.5 — — — 0.0% -3.00 — +0.0
186 Natalie Grandin RSA 196 159 – ▼ 26 0 2 0.0% 0 — — — — 1,428 90.6 — — — 20.0% -3.60 — +0.3
187 Samantha Reeves USA 198 157 – ▼ 124 3 12 20.0% 0 R128 R128 R128 — 1,526 110.0 -3.84 -1.12 0.609 24.2% -1.70 — -0.7
188 Rossana De Los Ríos PAR 200 157 – ▼ 51 1 2 33.3% 0 — — — — 1,454 110.2 — — — 42.9% -0.29 — +0.3
189 Angelika Bachmann GER 202 156 – ▲ 11 0 2 0.0% 0 R128 — — — 1,465 99.5 0.00 +1.76 0.570 0.0% -3.00 — -0.1
190 Lana Popadic CRO 204 155 – ▲ 92 2 1 66.7% 0 — — — — 1,524 105.9 — — — 71.4% +0.86 — +0.1
191 Janette Husarova SVK 205 155 – ▼ 79 1 1 50.0% 0 — — — — 1,589 109.9 — — — 60.0% -0.20 — +0.1
192 Asa Carlsson SWE 207 154 – ▲ 138 1 5 16.7% 0 R128 — — — 1,465 105.4 -0.90 -0.66 0.885 28.6% -1.71 — -0.1
193 Lourdes Domínguez Lino ESP 208 153 – ▲ 111 1 1 50.0% 0 — — — — 1,508 105.8 — — — 50.0% +1.34 — +0.0
194 Stephanie Gehrlein GER 209 152 – ▼ 43 0 2 0.0% 0 — — — — 1,476 95.6 — — — 0.0% -3.00 — +0.4
195 Natalia Gussoni ARG 210 152 – ▼ 53 0 2 0.0% 0 — — — — 1,462 96.2 — — — 0.0% -2.75 — -0.0
196 Chia-Jung Chuang TPE 211 151 – ▲ 90 1 2 33.3% 0 R128 — — — 1,500 101.5 +2.68 +4.72 0.447 28.6% -2.28 — -0.1
197 Anastasia Rodionova AUS 212 149 – ▼ 47 0 1 0.0% 0 — — — — 1,529 99.5 — — — 33.3% -1.67 — +0.0
198 Sofia Arvidsson SWE 213 149 – ▼ 109 1 6 14.3% 0 R128 — — — 1,433 102.5 -0.81 -1.09 0.825 25.0% -1.75 — +0.2
199 Amanda Keen GBR 214 149 – ▲ 86 1 2 33.3% 0 — — R128 — 1,506 101.5 +1.61 +0.60 0.811 42.9% -0.71 — -0.1
200 Angelika Roesch GER 220 145 – ▼ 10 1 2 33.3% 0 — — — — 1,471 107.9 — — — 33.3% -1.83 — +0.0
201 Gala Leon Garcia ESP 221 143 – ▼ 125 4 8 33.3% 0 R128 R64 R128 — 1,498 99.1 -2.59 -0.97 0.781 34.6% -1.39 — +0.7
202 Jarmila Wolfe AUS 222 142 – ▼ 27 0 1 0.0% 0 — — — — 1,515 97.3 — — — 0.0% -2.50 — +0.1
203 Tatiana Poutchek BLR 223 142 – ▼ 102 1 2 33.3% 0 — — — — 1,475 98.9 — — — 42.9% -1.14 — +0.2
204 Lubomira Bacheva BUL 224 141 – ▼ 74 0 1 0.0% 0 — R128 — — 1,468 103.0 +0.39 +3.11 0.645 0.0% -3.50 — -0.2
205 Stéphanie Dubois CAN 225 140 – ▲ 190 1 1 50.0% 0 — — — — 1,502 106.6 — — — 60.0% +2.00 — +0.2
206 Patricia Wartusch AUT 227 138 – ▼ 74 1 1 50.0% 0 — — — — 1,515 97.8 — — — 40.0% -0.80 — +0.1
207 Ivana Abramovic CRO 228 137 – ▼ 76 0 1 0.0% 0 — — — — 1,487 100.0 — — — 33.3% -0.67 — +0.1
208 Kaia Kanepi EST 229 136 – ▼ 61 0 1 0.0% 0 — — — — 1,484 98.6 — — — 0.0% -3.00 — +0.2
209 Nina Bratchikova RUS 230 136 – ▲ 176 0 1 0.0% 0 — — — — 1,489 100.7 — — — 33.3% -2.00 — -0.1
210 Zuzana Kucova SVK 231 134 – ▼ 23 0 1 0.0% 0 — R128 — — 1,497 101.6 +0.28 -0.24 0.387 0.0% -5.00 — -0.2
211 Kyra Nagy HUN 232 132 – ▼ 44 0 2 0.0% 0 — — — — 1,422 99.5 — — — 33.3% -1.00 — +0.0
212 Jane Odonoghue GBR 233 131 – ▲ 8 1 2 33.3% 0 — — R64 — 1,500 97.3 -1.90 -1.04 0.793 28.6% -1.14 — +0.0
213 Barbara Rittner GER 235 130 – ▼ 115 1 2 33.3% 0 — R64 — — 1,570 109.3 -1.05 +2.64 0.990 42.9% -0.43 — -0.3
214 Elena Tatarkova UKR 236 128 – ▼ 106 0 2 0.0% 0 — — — — 1,472 103.3 — — — 20.0% -1.40 — -0.1
215 Dominika Nociarova SVK 240 121 – ▼ 16 0 1 0.0% 0 — — — — 1,484 95.7 — — — 0.0% -3.50 — +0.1
216 Ansley Cargill USA 241 119 – ▼ 131 0 2 0.0% 0 R128 — — — 1,463 107.6 +1.85 -2.17 0.535 20.0% -1.60 — -0.1
217 Michaella Krajicek NED 244 118 – ▲ 781 0 2 0.0% 0 — — — — 1,471 98.0 — — — 33.3% -3.33 — -0.1
218 Jessica Kirkland USA 245 118 – ▲ 127 1 2 33.3% 0 — — — R128 1,492 105.4 -0.93 +0.22 0.800 33.3% -0.50 — +0.1
219 Tara Snyder USA 247 117 – ▼ 139 0 6 0.0% 0 R128 R128 R128 — 1,497 94.8 -0.71 -0.07 0.714 0.0% -3.40 — 0.0
220 Kristen Schlukebir USA 251 115 – ▼ 3 0 1 0.0% 0 — — — — 1,477 95.3 — — — 0.0% -4.00 — +0.3
221 Timea Bacsinszky SUI 252 115 – ▲ 213 0 2 0.0% 0 — — — — 1,484 103.3 — — — 20.0% -1.80 — -0.1
222 Adriana Serra Zanetti ITA 258 105 – ▼ 152 1 8 11.1% 0 R128 — — — 1,415 95.8 -1.09 -1.23 0.842 20.0% -2.25 — +0.1
223 Elena Vesnina RUS 259 105 – ▲ 30 0 1 0.0% 0 — — — — 1,485 94.8 — — — 0.0% -3.50 — +0.1
224 Miho Saeki JPN 260 105 – ▼ 4 1 1 50.0% 0 — — — — 1,489 102.8 — — — 40.0% -1.20 — -0.2
225 Seiko Okamoto JPN 265 102 – ▲ 30 0 2 0.0% 0 — — — — 1,449 88.2 — — — 0.0% -5.25 — -0.1
226 Maria Goloviznina RUS 269 99 – ▼ 8 1 1 50.0% 0 — — — — 1,507 99.8 — — — 100.0% +1.50 — +0.1
227 Antonia Matic GER 275 95 – ▼ 18 0 2 0.0% 0 — — — — 1,479 104.0 — — — 0.0% -2.25 — -0.0
228 Giulia Casoni ITA 280 91 – ▼ 47 0 1 0.0% 0 — — — — 1,435 94.9 — — — 0.0% -4.50 — +0.0
229 Jin-Hee (sr) Kim KOR 283 90 – ▲ 3 0 1 0.0% 0 — — — — 1,466 94.8 — — — 0.0% -4.50 — +0.1
230 Olga Savchuk UKR 285 90 – ▲ 154 2 1 66.7% 0 — — — — 1,528 104.4 — — — 50.0% 0.00 — +0.0
231 Amanda Coetzer RSA 286 89 – ▼ 261 2 3 40.0% 0 R64 — — — 1,718 114.7 -0.37 +1.49 1.105 36.4% -0.36 — -0.3
232 Alexandra Stevenson USA 287 89 – ▼ 206 0 7 0.0% 0 R128 — — R128 1,514 94.8 -0.12 -2.43 0.700 17.6% -2.30 — +0.2
233 Sophie Ferguson AUS 288 89 – ▲ 269 0 1 0.0% 0 R128 — — — 1,483 95.8 -2.44 -1.16 0.531 0.0% -4.00 — +0.2
234 Nadejda Ostrovskaya BLR 289 88 – ▼ 92 1 1 50.0% 0 — — — — 1,536 97.5 — — — 40.0% -1.20 — +0.2
235 Casey Dellacqua AUS 291 87 – ▼ 4 0 2 0.0% 0 R128 — — — 1,472 96.4 -3.43 -1.30 0.865 0.0% -2.50 — -0.1
236 Cindy Watson AUS 294 85 – ▲ 306 0 1 0.0% 0 — — — — 1,516 107.0 — — — 0.0% -2.50 — -0.2
237 Neha Uberoi USA 295 85 – ▲ 155 0 1 0.0% 0 — — — — 1,485 98.5 — — — 0.0% -2.50 — +0.1
238 Zi Yan HKG 296 84 – ▼ 135 0 4 0.0% 0 — — — — 1,451 99.1 — — — 27.3% -1.82 — -0.1
239 Galina Fokina RUS 300 81 – ▼ 102 1 1 50.0% 0 — — — — 1,484 103.1 — — — 40.0% +0.40 — +0.1
240 Katerina Bohmova CZE 302 73 – ▶ 0 0 1 0.0% 0 — — — — 1,483 99.4 — — — 33.3% -0.67 — +0.1
241 Maja Matevzic SLO 303 80 – ▼ 246 1 1 50.0% 0 — — — — 1,710 106.7 — — — 50.0% -2.25 — -0.2
242 Barbara Schwartz AUT 311 77 – ▼ 128 1 6 14.3% 0 — R128 — — 1,541 96.5 -2.12 +0.06 0.595 20.0% -1.87 — -0.0
243 Sandrine Testud FRA 313 76 – ▶ 0 1 8 11.1% 0 — R128 — — 1,725 120.4 -1.08 -0.06 0.815 26.3% -1.58 — -1.4
244 Christina Wheeler AUS 314 76 – ▼ 147 0 3 0.0% 0 — R128 R128 — 1,446 94.6 -1.16 -1.56 0.891 14.3% -2.86 — +0.1
245 Ryoko Fuda JPN 315 76 – ▲ 32 0 1 0.0% 0 — — — — 1,476 98.4 — — — 0.0% -4.00 — -0.1
246 Kateryna Volodko UKR 316 76 – ▲ 68 0 2 0.0% 0 — — — — 1,470 92.7 — — — 0.0% -4.00 — -0.1
247 Yulia Fedossova FRA 317 75 – ▲ 105 2 1 66.7% 0 — — — — 1,539 110.4 — — — 66.7% +0.33 — -0.3
248 Iva Majoli CRO 321 74 – ▼ 190 1 3 25.0% 0 — — — — 1,579 102.6 — — — 33.3% -0.56 — -0.2
249 So-Jung Kim KOR 328 73 – ▲ 401 0 1 0.0% 0 — — — — 1,480 93.6 — — — 0.0% -4.00 — +0.2
250 Melanie Gloria CAN 347 62 – ▲ 439 2 1 66.7% 0 — — — — 1,527 102.8 — — — 50.0% -0.25 — +0.1
251 Megan Falcon USA 354 59 – ▲ 529 1 1 50.0% 0 — — — — 1,505 107.7 — — — 60.0% +0.40 — +0.0
252 Carly Gullickson USA 355 59 – ▼ 126 0 3 0.0% 0 — — — — 1,500 92.1 — — — 0.0% -4.50 — -0.3
253 Clarisa Fernandez ARG 363 57 – ▼ 273 0 2 0.0% 0 R128 — — — 1,549 98.2 -0.75 -1.07 0.786 20.0% -2.20 — -0.1
254 Monique Adamczak AUS 365 56 – ▼ 103 0 1 0.0% 0 — — — — 1,487 97.5 — — — 0.0% -3.50 — -0.0
255 Alisa Kleybanova RUS 368 55 – ▲ 269 1 1 50.0% 0 — — — — 1,514 101.8 — — — 40.0% -0.80 — -0.1
256 Melanie Marois CAN 372 54 – ▼ 128 0 1 0.0% 0 — — — — 1,407 96.6 — — — 0.0% -4.00 — +0.0
257 Shelley Stephens NZL 375 54 – ▼ 4 0 1 0.0% 0 — — — — 1,463 97.8 — — — 0.0% -2.50 — +0.1
258 Akgul Amanmuradova UZB 380 53 – ▼ 73 0 1 0.0% 0 — — — — 1,450 98.5 — — — 0.0% -1.50 — +0.1
259 Katie Obrien GBR 387 52 – ▲ 368 0 1 0.0% 0 — — R128 — 1,492 98.4 — — — 0.0% -2.00 — -0.1
260 Martina Navratilova USA 388 52 – ▲ 605 1 4 20.0% 0 — R128 R64 — 1,940 100.2 +0.20 -0.26 1.142 33.3% -0.50 — +0.1
261 Eden Marama NZL 401 48 – ▲ 90 1 1 50.0% 0 — — — — 1,505 102.6 — — — 50.0% +0.25 — +0.1
262 Andreja Klepac SLO 404 47 – ▲ 529 0 1 0.0% 0 — — — — 1,484 98.1 — — — 0.0% -1.50 — +0.1
263 Cristina Torrens Valero ESP 418 44 – ▼ 309 0 1 0.0% 0 R128 — — — 1,452 103.7 -1.17 -0.05 0.650 0.0% -3.50 — -0.1
264 Ankita Bhambri IND 420 44 – ▲ 232 0 1 0.0% 0 — — — — 1,490 97.1 — — — 0.0% -5.00 — -0.1
265 Neuza Silva POR 428 42 – ▲ 315 1 1 50.0% 0 — — — — 1,490 97.2 — — — 40.0% -2.00 — +0.1
266 Magdalena Kiszczynska POL 479 33 – ▲ 110 0 1 0.0% 0 — — — — 1,488 98.3 — — — 0.0% -3.50 — -0.1
267 Viktoriya Kutuzova UKR 485 32 – ▼ 207 1 2 33.3% 0 — — — — 1,529 101.9 — — — 60.0% +0.40 — +0.1
268 Aleksandra Wozniak CAN 492 31 – ▲ 399 0 1 0.0% 0 — — — — 1,490 97.4 — — — 0.0% -3.50 — +0.0
269 Caroline Maes BEL 509 28 – ▼ 243 0 1 0.0% 0 — — — — 1,497 102.8 — — — 0.0% -5.00 — -0.3
270 Iroda Tulyaganova UZB 550 24 – ▼ 500 1 1 50.0% 0 — — — — 1,722 102.9 — — — 50.0% -0.50 — -0.0
271 Jessica Fernandez MEX 597 19 – ▼ 214 0 1 0.0% 0 — — — — 1,486 96.7 — — — 0.0% -3.50 — 0.0
272 Amber Liu USA 607 19 – ▼ 349 0 3 0.0% 0 — — — R128 1,468 99.2 +0.78 -1.05 0.888 25.0% -1.88 — +0.2
273 Isha Lakhani IND 610 19 – ▼ 231 0 1 0.0% 0 — — — — 1,487 98.4 — — — 33.3% -1.67 — -0.0
274 Bea Bielik USA 648 16 – ▼ 458 0 1 0.0% 0 — — — — 1,491 100.3 — — — 0.0% -2.50 — -0.1
275 Elke Clijsters BEL 649 16 – ▼ 203 0 1 0.0% 0 — — — — 1,440 97.0 — — — 0.0% -3.50 — +0.1
276 Ayu Fani Damayanti INA 662 16 – ▲ 362 0 1 0.0% 0 — — — — 1,492 98.9 — — — 0.0% -4.00 — -0.2
277 Evgenia Kulikovskaya RUS 827 9 – ▼ 641 0 1 0.0% 0 — — — — 1,394 98.8 — — — 0.0% -4.00 — -0.1
278 Olivia Lukaszewicz AUS 837 9 – ▲ 88 0 1 0.0% 0 R128 — — — 1,499 103.9 +1.91 +1.27 0.434 0.0% -6.00 — -0.3
279 Trudi Musgrave AUS 875 8 – ▼ 598 0 1 0.0% 0 R128 — — — 1,455 97.7 -0.32 -0.23 0.840 33.3% -1.00 — +0.2
280 Stephanie Foretz Gacon FRA — — – — 3 10 23.1% 0 R128 R64 R64 R64 1,532 111.6 -1.58 -0.22 0.873 31.3% -1.19 100.0 -0.3
281 Emily Webley-Smith GBR — — – — 1 1 50.0% 0 — — R64 — 1,509 101.3 — — — 60.0% 0.00 — +0.2
282 Ruxandra Dragomir Ilie ROU — — – — 1 3 25.0% 0 R128 — — — 1,504 112.3 +1.16 +0.66 0.673 25.0% -1.63 — -0.2
283 Vanessa Henke GER — — – — 1 1 50.0% 0 — — — — 1,492 105.1 — — — 40.0% -1.40 — -0.2
284 Andreea Ehritt Vanc ROU — — – — 0 1 0.0% 0 — — — — 1,457 96.9 — — — 33.3% -2.67 — +0.1
285 Darija Jurak CRO — — – — 0 1 0.0% 0 — — — — 1,477 102.1 — — — 33.3% 0.00 — -0.1
286 Edina Gallovits Hall ROU — — – — 0 3 0.0% 0 — — R128 — 1,468 96.0 — — — 0.0% -3.83 — -0.4
287 Elizabeth Kobak USA — — – — 0 1 0.0% 0 — — — — 1,488 98.3 — — — 0.0% -3.00 — +0.0
288 Klaudia Jans Ignacik POL — — – — 0 1 0.0% 0 — — — — 1,480 94.1 — — — 0.0% -4.00 — +0.2
289 Maria Vanina Garcia Sokol ARG — — – — 0 1 0.0% 0 — — — — 1,485 98.4 — — — 33.3% -1.67 — +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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