Rankings as of: Dec 26, 1994

WTA 1994 Season Leaders & Rankings

Rankings, leaderboards, and performance stats by season.

Steffi Graf finished 1994 at WTA No. 1 with 353 points.

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Rankings Leaders

Ranking points, results, and season metrics for 1994.

318 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 Steffi Graf GER 1 353 – ▶ 0 58 6 90.6% 7 W SF R128 F 2,414 179.9 — — — 86.0% +3.10 93.7 -1.1
2 Arantxa Sanchez-Vicario ESP 2 311 – ▶ 0 69 9 88.5% 8 F W R16 W 2,333 179.3 — — — 82.8% +2.52 105.3 -3.5
3 Conchita Martínez ESP 3 180 – ▲ 1 51 14 78.5% 4 QF SF W R32 2,064 167.5 — — — 72.3% +1.80 103.9 -0.8
4 Jana Novotna CZE 4 164 – ▲ 2 43 11 79.6% 3 QF R128 QF SF 2,141 164.9 — — — 74.8% +1.88 98.5 +0.5
5 Mary Pierce FRA 5 155 – ▲ 7 43 16 72.9% 0 R16 F — QF 2,055 169.7 — — — 70.9% +1.86 100.7 +0.5
6 Manuela Maleeva Fragniere SUI 5 148 – ▲ 6 12 2 85.7% 1 QF — — — 2,067 143.1 — — — 77.4% +2.36 — +0.5
7 Lindsay Davenport USA 6 141 – ▲ 14 44 15 74.6% 2 QF R32 QF R32 2,041 168.7 — — — 69.7% +1.73 102.2 -2.9
8 Gabriela Sabatini ARG 7 138 – ▼ 2 42 17 71.2% 1 SF R128 R16 SF 2,057 164.9 — — — 67.2% +1.39 97.2 -0.8
9 Martina Navratilova USA 8 134 – ▼ 5 33 14 70.2% 1 — R128 F — 2,073 161.5 — — — 64.9% +1.41 92.1 -1.1
10 Kimiko Date JPN 9 124 – ▲ 4 32 12 72.7% 2 SF R128 R32 QF 1,985 161.2 — — — 67.0% +1.34 99.4 -0.3
11 Natasha Zvereva BLR 10 123 – ▲ 9 29 12 70.7% 1 R128 R16 R128 — 1,979 161.7 — — — 69.6% +1.40 101.8 -1.1
12 Magdalena Maleeva BUL 11 94 – ▲ 5 31 12 72.1% 2 R16 R128 R64 R16 1,989 153.6 — — — 72.0% +1.70 96.9 +1.0
13 Anke Huber GER 12 94 – ▼ 2 38 16 70.4% 3 R32 R16 R64 R64 2,030 158.8 — — — 64.5% +1.13 102.9 +0.6
14 Iva Majoli CRO 13 84 – ▲ 33 38 19 66.7% 0 — R16 R128 R16 1,921 155.6 — — — 58.8% +0.37 116.4 -1.1
15 Mary Joe Fernandez USA 14 81 – ▼ 7 21 9 70.0% 1 R16 R32 R32 R32 1,977 147.9 — — — 66.2% +0.96 99.6 +0.1
16 Brenda Schultz-Mccarthy NED 15 76 – ▲ 25 44 21 67.7% 0 — R32 R64 R128 1,886 147.7 — — — 62.7% +0.70 112.3 +0.3
17 Amy Frazier USA 16 72 – ▲ 23 28 15 65.1% 1 R32 R128 R128 R64 1,903 156.1 — — — 61.7% +0.73 103.2 -0.1
18 Lori Mcneil USA 17 71 – ▲ 8 26 15 63.4% 1 — R32 SF R128 1,871 145.9 — — — 61.1% +0.69 98.9 -0.5
19 Amanda Coetzer RSA 18 68 – ▼ 3 38 19 66.7% 1 R64 R16 R16 QF 1,886 153.6 — — — 65.1% +1.19 95.9 +1.7
20 Sabine Hack GER 19 67 – ▲ 5 31 18 63.3% 1 R16 QF R128 R128 1,831 155.9 — — — 60.4% +0.86 101.9 -0.1
21 Ines Gorrochategui ARG 20 67 – ▲ 37 23 11 67.7% 0 R64 QF R32 — 1,917 149.2 — — — 66.7% +1.21 103.4 -2.1
22 Julie Halard-Decugis FRA 21 67 – ▲ 8 38 21 64.4% 1 R64 QF R128 R64 1,889 153.5 — — — 60.0% +0.46 105.4 -0.1
23 Helena Sukova CZE 22 65 – ▼ 5 21 14 60.0% 0 R32 R32 R16 — 1,887 144.4 — — — 56.1% +0.41 97.3 +1.2
24 Chanda Rubin USA 23 59 – ▲ 47 28 17 62.2% 0 R16 R128 R128 R128 1,804 148.9 — — — 58.4% +0.56 111.5 -1.2
25 Zina Garrison USA 24 58 – ▼ 10 24 16 60.0% 0 R128 R128 QF R16 1,888 145.3 — — — 54.3% +0.13 102.6 -0.2
26 Judith Wiesner AUT 25 57 – ▼ 4 28 15 65.1% 1 — R64 R128 R32 1,894 149.7 — — — 63.5% +0.95 96.6 +0.4
27 Naoko Sawamatsu JPN 26 57 – ▲ 2 24 12 66.7% 1 R64 R64 R16 R128 1,870 146.2 — — — 60.7% +1.00 106.5 -1.0
28 Sabine Appelmans BEL 27 55 – ▲ 9 29 16 64.4% 2 R32 R64 R128 R128 1,821 144.0 — — — 58.0% +0.80 106.6 +0.3
29 Mana Endo JPN 28 54 – ▲ 19 17 10 63.0% 1 R64 R128 R32 R16 1,807 145.1 — — — 60.3% +0.55 104.5 -0.5
30 Yayuk Basuki INA 29 50 – ▲ 14 23 12 65.7% 2 R64 — R16 R128 1,791 130.7 — — — 59.8% +0.30 106.7 +0.8
31 Ginger Helgeson USA 30 49 – ▲ 24 29 17 63.0% 1 R16 R64 R32 R16 1,777 146.6 — — — 61.0% +0.87 104.6 +1.2
32 Karina Habsudova SVK 31 48 – ▲ 82 15 12 55.6% 0 R128 R128 R128 R64 1,795 152.2 — — — 54.2% +0.44 100.1 -1.4
33 Gigi Fernandez USA 32 48 – ▲ 18 17 17 50.0% 0 R32 R128 SF QF 1,789 139.1 — — — 51.9% -0.05 95.7 -0.1
34 Sandra Cecchini ITA 33 47 – ▲ 23 28 16 63.6% 0 — R64 R64 R32 1,840 138.9 — — — 57.0% +0.51 101.9 +0.6
35 Leila Meskhi GEO 34 47 – ▲ 3 22 15 59.5% 0 R128 R32 R128 R16 1,842 148.6 — — — 55.2% +0.72 102.8 +0.5
36 Nathalie Tauziat FRA 35 46 – ▼ 17 29 21 58.0% 0 R128 R64 R32 R64 1,850 144.9 — — — 56.9% +0.60 93.9 +0.6
37 Katerina Maleeva BUL 36 45 – ▼ 14 20 16 55.6% 1 R128 R64 R128 R64 1,865 142.3 — — — 54.3% +0.42 94.9 +0.2
38 Ann Grossman USA 37 44 – ▼ 2 27 21 56.2% 0 R32 R32 R32 R16 1,853 146.2 — — — 53.6% -0.01 107.3 -1.0
39 Florencia Labat ARG 38 44 – ▲ 13 27 15 64.3% 0 R64 R128 R16 R128 1,787 139.9 — — — 58.3% +0.54 106.0 -0.1
40 Meredith Mcgrath USA 39 43 – ▲ 27 22 16 57.9% 2 R64 R128 R32 R64 1,767 146.2 — — — 52.9% +0.14 110.7 -2.1
41 Barbara Rittner GER 40 42 – ▼ 6 25 18 58.1% 0 R32 R32 R32 R32 1,819 146.5 — — — 58.9% +0.85 96.8 -1.1
42 Larisa Savchenko URS 41 41 – ▼ 8 19 20 48.7% 0 R128 R128 QF R128 1,809 144.2 — — — 48.4% -0.13 102.0 -3.7
43 Shi-Ting Wang TPE 42 40 – ▼ 12 21 12 63.6% 1 R64 R32 — R32 1,775 134.4 — — — 59.7% +0.78 102.0 +0.9
44 Jennifer Capriati USA 42 35 – ▼ 33 0 1 0.0% 0 — — — — 2,133 109.3 — — — 33.3% -1.33 — -0.2
45 Irina Spirlea ROU 43 36 – ▲ 18 21 17 55.3% 1 R128 R16 R64 R128 1,704 142.8 — — — 54.0% +0.51 99.5 +1.4
46 Lisa Raymond USA 44 34 – ▲ 11 19 17 52.8% 0 R64 R128 R128 R32 1,749 138.6 — — — 55.2% +0.24 98.6 +0.1
47 Meike Babel GER 46 33 – ▲ 3 13 12 52.0% 0 — R64 R64 — 1,660 133.6 — — — 55.6% +0.56 95.6 +1.2
48 Anna Smashnova ISR 47 33 – ▲ 92 10 11 47.6% 0 R64 R64 R64 R32 1,600 126.0 — — — 46.0% -0.46 — +0.5
49 Miriam Oremans NED 48 32 – ▼ 17 14 18 43.8% 0 R128 R32 R128 R128 1,733 131.3 — — — 46.8% -0.26 96.7 +0.4
50 Linda Wild USA 49 32 – ▼ 4 20 19 51.3% 0 R64 R128 R32 R64 1,740 132.8 — — — 51.6% -0.05 98.6 -1.9
51 Patty Fendick USA 50 31 – ▼ 23 23 20 53.5% 0 R64 R128 R128 R64 1,724 142.2 — — — 55.9% +0.41 95.7 +0.5
52 Silvia Farina Elia ITA 52 28 – ▲ 33 20 19 51.3% 0 R128 R64 R128 R64 1,679 127.7 — — — 46.6% -0.03 103.2 +0.2
53 Kristie Boogert NED 53 28 – ▲ 58 17 18 48.6% 0 R64 R64 R32 R128 1,591 135.8 — — — 51.9% +0.12 99.5 +1.1
54 Sandra Cacic USA 54 27 – ▲ 22 12 16 42.9% 0 R128 R64 R64 R64 1,617 134.8 — — — 43.9% -0.56 103.5 -0.1
55 Shaun Stafford USA 55 27 – ▲ 19 17 19 47.2% 0 R128 R16 R128 R32 1,717 135.1 — — — 46.4% -0.08 100.5 -1.1
56 Kristine Kunce AUS 56 27 – ▲ 40 19 17 52.8% 0 R32 R128 R16 R128 1,694 130.6 — — — 49.4% +0.20 102.7 -0.5
57 Natalia Medvedeva UKR 57 27 – ▼ 34 17 21 44.7% 0 R64 R128 R128 R32 1,771 141.0 — — — 47.7% +0.03 94.6 -1.3
58 Nana Smith JPN 58 26 – ▲ 259 9 7 56.2% 0 — — R64 — 1,578 128.2 — — — 55.3% +0.37 — +0.7
59 Petra Schwarz AUT 60 26 – ▲ 50 12 14 46.1% 0 R128 QF R128 R128 1,645 126.8 — — — 44.1% -0.41 103.7 +0.1
60 Rachel Mcquillan AUS 61 26 – ▲ 54 20 17 54.0% 0 R32 R128 R64 R128 1,649 132.0 — — — 51.7% -0.01 103.6 -0.5
61 Elena Likhovtseva RUS 62 25 – ▲ 5 17 19 47.2% 0 R32 — R128 R16 1,737 144.1 — — — 49.4% -0.07 — -2.3
62 Pam Shriver USA 63 25 – ▼ 25 13 16 44.8% 0 R64 R128 R32 R64 1,699 125.8 — — — 48.5% -0.04 95.7 +0.5
63 Fang Li CHN 67 23 – ▲ 65 13 13 50.0% 0 R128 R64 R64 R128 1,608 120.8 — — — 49.2% -0.22 101.0 +0.9
64 Debbie Graham USA 68 23 – ▼ 3 8 10 44.4% 0 R64 — R128 R128 1,698 133.9 — — — 48.8% -0.05 100.7 +0.2
65 Wiltrud Probst GER 69 22 – ▲ 36 11 14 44.0% 0 R64 R64 R64 — 1,630 135.0 — — — 48.2% -0.11 95.2 +0.7
66 Asa Carlsson SWE 70 22 – ▲ 94 15 16 48.4% 0 — R128 R128 R64 1,640 133.8 — — — 49.3% -0.05 99.2 -0.2
67 Ai Sugiyama JPN 72 21 – ▲ 73 9 11 45.0% 0 — — R128 R128 1,556 120.7 — — — 47.8% +0.13 — +1.5
68 Nicole Arendt USA 73 21 – ▲ 15 14 12 53.9% 0 R128 — R64 R64 1,700 125.2 — — — 54.2% +0.41 102.1 -0.5
69 Elna Reinach RSA 74 21 – ▼ 16 13 15 46.4% 0 R128 R128 R64 R64 1,730 133.1 — — — 43.1% -0.62 104.6 -1.9
70 Kyoko Nagatsuka JPN 75 21 – ▲ 72 13 13 50.0% 0 — R128 R128 R64 1,588 116.0 — — — 48.3% -0.24 — +1.9
71 Radomira Zrubakova SVK 76 21 – ▲ 18 8 11 42.1% 0 R128 R64 — R64 1,626 124.9 — — — 48.9% +0.02 — +0.6
72 Christina Singer GER 77 20 – ▲ 3 10 15 40.0% 0 R64 R128 R128 R128 1,615 129.7 — — — 40.0% -0.82 — +0.3
73 Silke Frankl GER 78 20 – ▲ 15 9 12 42.9% 0 — R64 R32 R128 1,583 111.9 — — — 41.3% -1.04 104.9 +1.3
74 Joannette Kruger RSA 79 20 – ▲ 49 13 17 43.3% 0 R128 R32 R128 R128 1,639 139.3 — — — 44.1% -0.47 100.9 -0.5
75 Yone Kamio JPN 80 20 – ▲ 28 11 12 47.8% 0 R64 R128 R64 R64 1,593 123.7 — — — 47.9% -0.10 — +1.5
76 Sandrine Testud FRA 81 20 – ▲ 19 10 14 41.7% 0 R16 R128 R128 R64 1,604 130.9 — — — 45.3% -0.40 95.6 +0.2
77 Tracy Austin USA 81 19 – ▲ 36 5 8 38.5% 0 R64 R128 — — 1,850 118.5 — — — 36.7% -0.97 — -1.5
78 Marketa Kochta GER 82 19 – ▲ 8 7 15 31.8% 0 R64 R32 R128 R128 1,575 128.9 — — — 34.0% -1.30 — +0.2
79 Linda Ferrando ITA 84 19 – ▼ 32 8 12 40.0% 0 R32 R128 — R128 1,640 131.6 — — — 38.6% -0.70 — -1.0
80 Radka Bobkova CZE 85 18 – ▼ 32 13 15 46.4% 0 R64 R64 R64 R32 1,633 126.4 — — — 43.3% -0.20 102.0 +0.8
81 Veronika Martinek GER 86 18 – ▲ 45 7 10 41.2% 0 R128 — R128 R128 1,571 121.9 — — — 44.4% -0.78 — -0.5
82 Martina Hingis SUI 87 18 – ▲ 312 5 3 62.5% 0 — — — — 1,595 137.2 — — — 66.7% +1.72 — +0.6
83 Bettina Fulco ARG 88 17 – ▲ 52 5 9 35.7% 0 — R128 R128 R128 1,546 118.6 — — — 37.5% -0.87 — +0.8
84 Emanuela Zardo SUI 89 17 – ▼ 16 9 13 40.9% 0 R16 R128 R128 R64 1,574 109.2 — — — 41.7% -0.46 97.3 +1.6
85 Sandra Dopfer AUT 90 17 – ▲ 9 7 10 41.2% 0 R128 R64 R128 R128 1,518 109.2 — — — 39.5% -0.79 104.9 +1.2
86 Beate Reinstadler AUT 91 17 – ▼ 7 9 13 40.9% 0 R32 R128 R128 R128 1,525 115.7 — — — 43.6% -0.36 98.8 +0.1
87 Alexandra Fusai FRA 92 17 – ▼ 13 10 16 38.5% 0 — R32 R128 R64 1,567 122.2 — — — 42.9% -0.59 96.7 +0.4
88 Caroline Kuhlman USA 93 16 – ▼ 15 8 16 33.3% 0 R32 R128 R64 R64 1,574 119.7 — — — 38.2% -0.87 — +0.4
89 Katarzyna Nowak POL 94 16 – ▲ 105 2 3 40.0% 0 — R64 — — 1,532 108.3 — — — 41.7% -1.08 — +0.2
90 Stephanie Rottier NED 95 16 – ▼ 63 9 15 37.5% 0 R128 R64 — R128 1,718 142.3 — — — 37.7% -0.68 103.8 -2.5
91 Natalia Baudone ITA 96 15 – ▲ 1 8 9 47.1% 0 R128 — — — 1,650 135.6 — — — 48.7% -0.31 98.8 -0.8
92 Petra Begerow GER 97 15 – ▲ 12 9 13 40.9% 0 R128 R64 R128 — 1,541 107.4 — — — 43.1% -0.59 102.0 +0.4
93 Karin Kschwendt AUT 99 15 – ▼ 18 9 15 37.5% 0 R128 R32 — R128 1,610 123.8 — — — 39.3% -1.07 — -0.2
94 Barbara Schett AUT 100 15 – ▲ 37 9 14 39.1% 0 — R128 R128 R128 1,530 115.7 — — — 44.9% -0.65 102.0 +0.4
95 Sung-Hee Park KOR 101 15 – ▲ 66 7 5 58.3% 0 — — — — 1,538 113.7 — — — 55.2% +0.17 104.7 +1.1
96 Jolene Watanabe USA 102 15 – ▲ 14 13 16 44.8% 0 R128 — R64 R128 1,584 123.8 — — — 47.7% -0.05 99.7 +1.4
97 Angeles Montolio ESP 103 14 – ▲ 218 2 7 22.2% 0 — R128 — R128 1,489 112.2 — — — 26.3% -1.63 — -0.1
98 Patricia Tarabini ARG 104 14 – ▼ 44 6 14 30.0% 0 R64 R128 R64 R128 1,581 113.6 — — — 31.1% -1.64 101.9 +0.6
99 Laurence Courtois BEL 105 14 – ▼ 1 8 13 38.1% 0 R128 R128 R128 R128 1,545 117.7 — — — 40.0% -1.20 — +0.1
100 Petra Langrova TCH 106 14 – ▼ 3 5 9 35.7% 0 R128 R64 R64 R128 1,568 112.8 — — — 43.2% -0.95 — +0.2
101 Adriana Serra Zanetti ITA 107 14 – ▲ 92 4 6 40.0% 0 — — — R128 1,531 114.9 — — — 36.4% -1.00 — +0.3
102 Barbara Paulus AUT 108 13 – ▲ 55 5 7 41.7% 0 — — — — 1,659 112.9 — — — 31.8% -0.82 — -0.4
103 Manon Bollegraf NED 109 13 – ▲ 51 5 13 27.8% 0 R128 R128 R128 R128 1,512 111.7 — — — 31.8% -1.39 102.2 +0.2
104 Els Callens BEL 110 13 – ▲ 80 4 3 57.1% 0 — — — — 1,560 113.2 — — — 56.3% +0.63 — -0.2
105 Laura Golarsa ITA 112 13 – ▼ 43 13 22 37.1% 0 R128 R128 R32 R128 1,582 122.3 — — — 44.4% -0.69 97.8 +1.0
106 Silke Meier GER 113 13 – ▲ 38 5 9 35.7% 0 — R64 — R128 1,527 101.6 — — — 34.5% -1.14 — +0.2
107 Paola Suarez ARG 114 13 – ▲ 83 5 8 38.5% 0 — R128 R128 R64 1,536 111.5 — — — 41.4% -0.86 — +0.3
108 Ludmila Richterova CZE 115 13 – ▲ 47 9 12 42.9% 0 — R32 R128 R128 1,518 115.8 — — — 48.0% -0.12 96.5 +0.9
109 Eugenia Maniokova RUS 116 13 – ▲ 47 5 11 31.2% 0 — R128 R128 R64 1,510 109.6 — — — 36.1% -1.28 96.9 +0.0
110 Tatiana Ignatieva BLR 117 12 – ▼ 11 3 7 30.0% 0 R64 — — — 1,508 117.2 — — — 39.1% -1.00 — -0.1
111 Katarina Studenikova SVK 118 12 – ▼ 41 7 11 38.9% 0 R128 R128 R128 R64 1,551 124.3 — — — 42.5% -0.32 96.0 +0.2
112 Angelica Gavaldon MEX 119 12 – ▼ 55 9 16 36.0% 0 R128 R64 R128 R64 1,605 119.4 — — — 35.3% -0.88 100.2 -0.0
113 Caroline Vis NED 120 12 – ▲ 78 3 13 18.8% 0 R128 R128 R128 — 1,449 103.0 — — — 27.5% -1.63 98.7 +0.2
114 Tina Krizan SLO 121 12 – ▲ 76 3 3 50.0% 0 R128 — — — 1,508 106.2 — — — 42.9% 0.00 — -0.0
115 Sarah Pitkowski-Malcor FRA 122 12 – ▲ 45 2 5 28.6% 0 — — — — 1,501 106.6 — — — 33.3% -1.00 — -0.2
116 Nancy Feber BEL 124 12 – ▲ 28 4 9 30.8% 0 — — R32 R128 1,482 105.3 — — — 36.7% -0.73 — +0.2
117 Helen Kelesi CAN 125 12 – ▼ 77 5 10 33.3% 0 R64 R128 R128 R128 1,647 125.5 — — — 38.7% -0.61 — -0.1
118 Andrea Strnadova CZE 127 11 – ▲ 31 6 12 33.3% 0 — — R128 — 1,519 106.5 — — — 40.0% -0.60 99.4 +1.2
119 Elena Brioukhovets UKR 129 11 – ▼ 8 5 12 29.4% 0 — R64 R64 R128 1,542 103.5 — — — 37.5% -1.40 — +0.9
120 Isabelle Demongeot FRA 130 11 – ▲ 20 3 9 25.0% 0 — R128 R128 R32 1,541 110.1 — — — 29.6% -1.11 95.9 +0.5
121 María Sánchez Lorenzo ESP 131 11 – ▲ 267 3 4 42.9% 0 — — — — 1,520 108.6 — — — 42.1% -0.53 — +0.2
122 Andrea Temesvari HUN 133 10 – ▲ 20 2 7 22.2% 0 — — — R128 1,476 113.1 — — — 27.8% -1.83 — -0.2
123 Dominique Monami BEL 134 10 – ▼ 75 7 16 30.4% 0 R128 R128 R32 R128 1,601 118.4 — — — 34.0% -1.21 101.2 -0.2
124 Tessa Price RSA 136 10 – ▲ 19 6 10 37.5% 0 — — R64 R128 1,474 108.9 — — — 40.0% -0.83 101.0 -0.4
125 Nicole Jagerman NED 137 10 – ▼ 69 4 11 26.7% 0 R128 R128 R128 R64 1,590 112.1 — — — 30.3% -1.33 98.8 +0.3
126 Clare Wood GBR 138 10 – ▼ 51 6 15 28.6% 0 R128 R64 R128 R128 1,571 121.3 — — — 29.2% -1.50 — -1.0
127 Jana Nejedly CAN 139 10 – ▲ 189 3 9 25.0% 0 — — — — 1,467 119.4 — — — 28.6% -1.54 — +0.1
128 Mercedes Paz ARG 140 10 – ▲ 43 3 10 23.1% 0 — — R64 — 1,474 115.3 — — — 22.2% -1.81 — +0.3
129 Lea Ghirardi FRA 141 10 – ▲ 1 2 5 28.6% 0 — R128 — R128 1,466 97.8 — — — 25.0% -1.56 — +0.3
130 Tatiana Panova RUS 142 9 – ▲ 449 1 2 33.3% 0 — — — — 1,508 105.4 — — — 33.3% -1.67 — -0.4
131 Katrina Adams USA 144 9 – ▲ 40 2 7 22.2% 0 — — R128 R128 1,511 124.6 — — — 30.4% -0.39 100.9 -0.6
132 Janette Husarova SVK 145 9 – ▼ 63 6 13 31.6% 0 R128 — R128 R128 1,508 103.9 — — — 32.6% -1.23 98.6 +1.2
133 Rita Grande ITA 146 9 – ▲ 40 7 12 36.8% 0 — — — — 1,491 108.7 — — — 40.0% -0.67 95.5 +0.4
134 Cristina Torrens Valero ESP 148 9 – ▲ 41 1 2 33.3% 0 — — — — 1,488 102.7 — — — 37.5% -1.00 — -0.1
135 Romana Tedjakusuma INA 149 9 – ▼ 20 5 11 31.2% 0 R32 R128 — R128 1,512 107.7 — — — 33.3% -1.97 100.0 -0.2
136 Elly Hakami USA 151 9 – ▲ 224 0 1 0.0% 0 R128 — — — 1,541 111.0 — — — 0.0% -2.50 — -0.3
137 Nicole Bradtke AUS 153 9 – ▼ 127 2 5 28.6% 0 R64 R128 — R64 1,704 114.0 — — — 33.3% -1.53 — +0.1
138 Rene Simpson CAN 154 9 – ▼ 32 5 11 31.2% 0 R64 — R128 — 1,532 109.5 — — — 42.1% -0.45 — -0.1
139 Naoko Kijimuta JPN 156 8 – ▲ 32 2 7 22.2% 0 R128 — — — 1,480 119.3 — — — 25.0% -1.40 — -0.4
140 Petra Kamstra NED 158 8 – ▲ 20 4 9 30.8% 0 — R128 — — 1,476 112.2 — — — 35.5% -1.10 — +0.2
141 Meilen Tu USA 160 8 – ▲ 485 2 3 40.0% 0 — — — R128 1,542 126.0 — — — 45.5% -0.36 — -0.2
142 Audra Keller USA 161 8 – ▼ 37 4 13 23.5% 0 R128 — — R64 1,471 113.7 — — — 30.8% -1.28 — +0.5
143 Larissa Schaerer PAR 162 8 – ▲ 19 1 2 33.3% 0 — — — — 1,477 97.7 — — — 37.5% -1.50 — +0.1
144 Eva Martincova CZE 163 8 – ▼ 7 3 10 23.1% 0 — R128 — R128 1,434 98.7 — — — 26.7% -1.57 — +0.5
145 Sonya Jeyaseelan CAN 164 8 – ▲ 19 4 6 40.0% 0 — — — — 1,507 111.6 — — — 36.4% -1.36 — +0.5
146 Maria Vento-Kabchi VEN 166 8 – ▲ 11 3 6 33.3% 0 — — — — 1,520 126.6 — — — 39.1% -0.17 — -0.1
147 Laura Garrone ITA 167 8 – ▲ 2 2 5 28.6% 0 — R128 — — 1,519 113.3 — — — 37.5% -0.75 — -0.2
148 Maja Palaversic CRO 168 8 – ▲ 32 1 1 50.0% 0 — — — — 1,503 107.7 — — — 50.0% -0.25 — +0.0
149 Maureen Drake CAN 170 8 – ▲ 1 1 3 25.0% 0 — — — — 1,411 100.5 — — — 30.0% -1.10 — +0.1
150 Virginia Ruano Pascual ESP 171 8 – ▼ 45 0 4 0.0% 0 R128 — — — 1,476 97.0 — — — 11.1% -2.33 — +0.0
151 Tatjana Jecmenica SRB 172 7 – ▲ 208 1 1 50.0% 0 — — — — 1,489 98.3 — — — 50.0% -0.75 — +0.1
152 Anne Mall IRL 175 7 – ▲ 16 3 5 37.5% 0 — — — R128 1,534 131.4 — — — 38.9% -0.89 — -0.4
153 Kerry-Anne Guse AUS 178 7 – ▲ 55 2 6 25.0% 0 R128 — — — 1,451 98.7 — — — 29.4% -1.65 — +0.7
154 Karine Quentrec FRA 179 7 – ▼ 84 4 15 21.1% 0 R128 R64 R128 — 1,536 109.7 — — — 29.8% -1.47 93.2 +0.6
155 Katerina Kroupova CZE 180 7 – ▼ 78 3 7 30.0% 0 — R128 — — 1,535 97.9 — — — 39.1% -1.61 — +0.2
156 Nathalie Herreman FRA 181 7 – ▼ 74 1 5 16.7% 0 — R128 — — 1,584 103.8 — — — 21.4% -3.00 — -0.3
157 Jenny Byrne AUS 182 7 – ▼ 33 4 12 25.0% 0 R128 — R64 — 1,474 108.6 — — — 32.4% -1.22 98.8 +0.1
158 Rika Hiraki JPN 187 6 – ▼ 53 2 8 20.0% 0 — — — R128 1,503 101.3 — — — 20.0% -2.50 — -0.3
159 Catalina Cristea ROM 189 6 – ▼ 62 2 9 18.2% 0 R64 R128 — — 1,513 115.1 — — — 28.0% -1.60 98.5 -0.3
160 Liz Smylie AUS 192 6 – ▼ 67 2 7 22.2% 0 R128 — R128 — 1,515 99.5 — — — 31.6% -1.79 — +0.1
161 Nanne Dahlman FIN 194 6 – ▼ 51 2 5 28.6% 0 R64 — — — 1,503 104.6 — — — 35.3% -1.12 — +0.1
162 Kristin Godridge HKG 195 6 – ▼ 30 2 6 25.0% 0 R128 — — — 1,513 100.5 — — — 33.3% -1.06 — +0.5
163 Laxmi Poruri USA 196 6 – ▲ 524 0 1 0.0% 0 — — — — 1,483 101.1 — — — 0.0% -3.50 — -0.2
164 Louise Field AUS 197 6 – ▼ 22 1 3 25.0% 0 — — R64 — 1,477 88.6 — — — 22.2% -2.55 — -0.2
165 Sandra Wasserman BEL 198 6 – ▼ 86 4 8 33.3% 0 R128 — — — 1,540 109.0 — — — 30.8% -1.23 101.0 -0.2
166 Erika De Lone USA 200 6 – ▼ 17 1 9 10.0% 0 — — — — 1,436 100.1 — — — 21.7% -1.56 — +0.5
167 Marzia Grossi ITA 202 6 – ▼ 104 3 12 20.0% 0 R128 R32 R128 R128 1,496 102.1 — — — 25.0% -2.16 — +0.5
168 Melanie Schnell AUT 205 5 – ▲ 219 1 1 50.0% 0 — — — — 1,509 107.6 — — — 50.0% +0.50 — +0.0
169 Marion Maruska AUT 206 5 – ▲ 159 0 1 0.0% 0 — — — — 1,444 99.9 — — — 0.0% -2.00 — +0.1
170 Yuka Yoshida JPN 207 5 – ▲ 150 2 3 40.0% 0 — — — — 1,501 99.7 — — — 41.7% -0.92 — +0.3
171 Federica Bonsignori ITA 211 5 – ▼ 97 1 5 16.7% 0 R128 — — — 1,529 108.9 — — — 23.1% -1.77 — -0.2
172 Rennae Stubbs AUS 213 5 – ▼ 39 3 6 33.3% 0 R128 — — — 1,492 107.9 — — — 35.0% -1.05 — +0.0
173 Ann Henricksson USA 215 5 – ▼ 74 4 7 36.4% 0 — — — — 1,530 101.5 — — — 30.4% -1.52 — +0.1
174 Nadin Ercegovic CRO 216 5 – ▼ 96 2 5 28.6% 0 R64 — — — 1,528 103.5 — — — 35.3% -1.12 — +0.3
175 Anca Barna GER 221 5 – ▲ 8 0 1 0.0% 0 — — — — 1,496 107.2 — — — 33.3% -0.67 — -0.3
176 Kveta Peschke CZE 222 4 – ▼ 23 0 1 0.0% 0 — — — — 1,507 108.8 — — — 0.0% -2.50 — -0.2
177 Nicole Pratt AUS 224 4 – ▼ 52 2 5 28.6% 0 R128 — — — 1,465 92.2 — — — 31.3% -2.06 — +0.5
178 Tamarine Tanasugarn THA 227 4 – ▲ 180 1 1 50.0% 0 — — — — 1,493 103.5 — — — 50.0% -0.83 — +0.1
179 Sylvia Plischke AUT 230 4 – ▼ 51 0 3 0.0% 0 — — — — 1,472 92.7 — — — 0.0% -3.67 — -0.2
180 Sophie Amiach FRA 233 4 – ▼ 34 0 1 0.0% 0 — — — — 1,471 — — — — — — — -0.0
181 Dally Randriantefy MAD 236 4 – ▲ 135 0 1 0.0% 0 — — — — 1,488 98.9 — — — 0.0% -2.50 — -0.1
182 Elena Tatarkova UKR 240 4 – ▲ 22 0 1 0.0% 0 — — — — 1,485 97.3 — — — 0.0% -2.50 — +0.0
183 Petra Thoren FIN 248 4 – ▼ 71 0 1 0.0% 0 — — — — 1,482 102.2 — — — 0.0% -3.50 — -0.2
184 Silvija Talaja CRO 251 4 – ▼ 15 1 1 50.0% 0 — — — — 1,486 96.1 — — — 40.0% -0.40 — +0.2
185 Camille Benjamin USA 251 4 – ▲ 91 0 1 0.0% 0 — — — — 1,503 100.3 — — — 0.0% -3.00 — +0.1
186 Claudia Porwik GER 256 3 – ▼ 164 0 1 0.0% 0 — — — — 1,585 97.9 — — — 0.0% -3.50 — +0.2
187 Julie Pullin GBR 266 3 – ▲ 63 2 3 40.0% 0 — — R128 — 1,507 107.9 — — — 41.7% -1.00 — +0.1
188 Janet Lee TPE 270 3 – ▲ 277 1 2 33.3% 0 — — — — 1,508 115.6 — — — 28.6% -1.57 — -0.5
189 Claudine Toleafoa NZL 279 3 – ▲ 63 0 1 0.0% 0 — — — — 1,448 94.5 — — — 0.0% -6.00 — -0.2
190 Lubomira Bacheva BUL 280 3 – ▲ 16 0 1 0.0% 0 — — — — 1,452 96.8 — — — 0.0% -3.50 — +0.0
191 Robin White USA 281 3 – ▼ 162 1 3 25.0% 0 R128 — — — 1,539 105.6 — — — 40.0% -0.60 — +0.7
192 Ei Iida JPN 283 3 – ▼ 58 1 2 33.3% 0 — — — — 1,434 101.4 — — — 42.9% -0.14 — +0.2
193 Rosalyn Fairbank USA 284 3 – ▼ 221 0 4 0.0% 0 — — — — 1,704 104.2 — — — 0.0% -3.63 — -0.3
194 Christina Papadaki GRE 287 3 – ▼ 164 0 4 0.0% 0 R128 — — — 1,461 97.6 — — — 20.0% -2.00 — +0.0
195 Joanne Limmer AUS 288 3 – ▲ 31 1 2 33.3% 0 R128 — — — 1,470 106.0 — — — 33.3% -1.00 — -0.1
196 Mareze Joubert RSA 291 3 – ▲ 33 0 2 0.0% 0 — — — — 1,472 90.5 — — — 0.0% -4.50 — +0.1
197 Mi-Ra Jeon KOR 294 3 – ▲ 61 0 2 0.0% 0 — — — — 1,482 100.1 — — — 0.0% -3.75 — -0.2
198 Angelique Olivier FRA 295 3 – ▼ 103 0 2 0.0% 0 — R128 — — 1,429 99.1 — — — 20.0% -1.20 — +0.4
199 Amelie Castera FRA 296 3 – ▲ 54 0 2 0.0% 0 — R128 — — 1,487 98.1 — — — 0.0% -3.75 — -0.2
200 Seda Noorlander NED 297 3 – ▼ 30 0 1 0.0% 0 — — — — 1,493 98.7 — — — 0.0% -3.00 — +0.1
201 Laura Lapi ITA 305 2 – ▼ 148 0 2 0.0% 0 — — — — 1,544 96.6 — — — 0.0% -2.50 — +0.2
202 Jana Kandarr GER 313 2 – ▲ 465 1 2 33.3% 0 — — — — 1,509 108.4 — — — 40.0% -0.80 — -0.2
203 Karen Cross GBR 315 2 – ▲ 10 0 1 0.0% 0 — — R128 — 1,467 91.5 — — — 0.0% -5.50 — +0.1
204 Jana Pospisilova CZE 317 2 – ▲ 45 0 1 0.0% 0 — — — — 1,495 101.6 — — — 33.3% +0.33 — +0.0
205 Claire Taylor GBR 320 2 – ▲ 196 1 3 25.0% 0 — — R128 — 1,501 109.4 — — — 22.2% -1.89 — -0.2
206 Francesca Lubiani ITA 325 2 – ▲ 116 0 1 0.0% 0 — — — — 1,487 99.9 — — — 33.3% -0.67 — +0.0
207 Lenka Cenkova CZE 330 2 – ▲ 196 0 1 0.0% 0 — — — — 1,483 98.0 — — — 0.0% -2.00 — +0.1
208 Monique Javer GBR 339 2 – ▼ 154 0 3 0.0% 0 — — R128 — 1,518 98.2 — — — 14.3% -3.00 — -0.5
209 Jeri Ingram USA 342 2 – ▼ 145 0 1 0.0% 0 — — — — 1,478 91.6 — — — 0.0% -5.00 — +0.2
210 Julie Shiflet USA 344 2 – ▼ 10 0 1 0.0% 0 — — — — 1,459 90.3 — — — 0.0% -6.00 — -0.1
211 Jo Durie GBR 348 2 – ▼ 156 1 4 20.0% 0 — — R128 — 1,555 106.0 — — — 33.3% -1.42 — -0.6
212 Julie Richardson NZL 367 2 – ▼ 14 0 2 0.0% 0 — — — — 1,400 94.8 — — — 20.0% -3.40 — -0.1
213 Amanda Wainwright GBR 369 2 – ▼ 49 0 2 0.0% 0 — — R128 — 1,471 94.0 — — — 20.0% -2.40 — +0.4
214 Fabiola Zuluaga COL 386 1 – ▲ 323 0 2 0.0% 0 — — — — 1,484 102.5 — — — 20.0% -2.00 — -0.1
215 Eva Sviglerova CZE 399 1 – ▼ 266 1 4 20.0% 0 — — — — 1,502 109.4 — — — 33.3% -1.17 — -0.4
216 Mashona Washington USA 407 1 – ▲ 321 0 1 0.0% 0 — — — — 1,499 110.4 — — — 0.0% -5.00 — -0.2
217 Jing-Qian Yi CHN 411 1 – ▼ 14 0 1 0.0% 0 — — — — 1,484 96.8 — — — 0.0% -3.50 — +0.1
218 Beverly Bowes USA 426 1 – ▼ 296 1 2 33.3% 0 — — — — 1,557 112.1 — — — 28.6% -2.43 — -0.3
219 Lisa Mcshea AUS 453 1 – ▼ 146 0 2 0.0% 0 R128 — — — 1,458 94.4 — — — 20.0% -1.80 — +0.3
220 Nicole London USA 453 1 – ▼ 71 0 1 0.0% 0 — — — — 1,466 96.2 — — — 0.0% -3.50 — +0.1
221 Andrea Leand USA 461 1 – ▼ 120 0 1 0.0% 0 — — — — 1,472 108.6 — — — 0.0% -4.50 — -0.3
222 Rossana De Los Ríos PAR 462 1 – ▼ 344 0 3 0.0% 0 R128 — — — 1,504 96.2 — — — 0.0% -3.67 — -0.0
223 Evelyn Fauth AUT 472 1 – ▲ 84 0 1 0.0% 0 — — — — 1,487 98.7 — — — 0.0% -3.00 — +0.0
224 Maya Kidowaki JPN 553 0 – ▼ 353 0 2 0.0% 0 — — — — 1,520 101.5 — — — 0.0% -3.50 — -0.2
225 Carrie Cunningham USA 634 0 – ▼ 301 0 3 0.0% 0 — — — R128 1,538 102.3 — — — 14.3% -1.86 — +0.1
226 Betsy Nagelsen USA 692 0 – ▼ 17 0 1 0.0% 0 — — — — 1,509 102.5 — — — 0.0% -5.50 — -0.2
227 Tzu-Ting Weng TPE 800 0 – ▼ 272 0 1 0.0% 0 — — — — 1,478 93.9 — — — 0.0% -5.00 — +0.1
228 Marianne Werdel Witmeyer USA — — – — 22 22 50.0% 0 — R64 R64 R64 1,773 143.7 — — — 48.5% -0.08 — -0.3
229 Tami Whitlinger Jones USA — — – — 16 18 47.1% 0 R64 R64 R128 R128 1,709 145.5 — — — 45.8% -0.15 97.5 -1.1
230 Patricia Hy Boulais CAN — — – — 15 16 48.4% 0 R128 R128 R128 R32 1,756 132.7 — — — 52.4% +0.25 99.3 -0.6
231 Elena Makarova RUS — — – — 14 13 51.9% 0 R32 R128 — R128 1,672 136.3 — — — 50.0% -0.27 103.9 -0.3
232 Alexia Dechaume Balleret FRA — — – — 12 13 48.0% 0 — R16 R64 R32 1,704 133.1 — — — 51.9% +0.11 — +0.4
233 Kimberly Po Messerli USA — — – — 11 17 39.3% 0 R128 R64 R64 R128 1,701 128.7 — — — 44.6% -0.51 — -0.1
234 Ruxandra Dragomir Ilie ROU — — – — 10 15 40.0% 0 R128 R16 R64 R64 1,590 113.2 — — — 44.1% -0.53 94.7 +0.9
235 Michelle Jaggard Lai AUS — — – — 9 16 36.0% 0 R128 R128 — — 1,559 117.1 — — — 40.4% -0.60 98.9 -0.4
236 Noelle Van Lottum FRA — — – — 7 12 36.8% 0 R128 R64 — R128 1,575 110.9 — — — 40.0% -1.15 — -0.1
237 Elena Pampoulova BUL — — – — 6 4 60.0% 1 — — — — 1,562 127.4 — — — 54.5% +0.73 — +0.3
238 Misumi Miyauchi JPN — — – — 5 9 35.7% 0 — — — — 1,496 106.1 — — — 40.6% -0.53 — +0.7
239 Elena Savoldi ITA — — – — 4 4 50.0% 0 — — — — 1,547 117.8 — — — 44.4% +0.06 — -0.1
240 Julie Steven USA — — – — 4 8 33.3% 0 — — — R128 1,494 104.9 — — — 34.6% -1.04 — +0.5
241 Maria Jose Gaidano ARG — — – — 4 14 22.2% 0 R128 R128 R64 R64 1,506 109.6 — — — 30.0% -1.70 98.9 -0.2
242 Michelle Jackson Nobrega USA — — – — 4 4 50.0% 0 — — — — 1,534 126.1 — — — 55.6% +0.28 — -0.3
243 Dianne Van Rensburg RSA — — – — 3 4 42.9% 0 — — — R128 1,696 109.2 — — — 46.7% -0.53 — -0.2
244 Maja Zivec Skulj GER — — – — 3 5 37.5% 0 — — — — 1,465 98.4 — — — 38.9% -1.56 — +0.1
245 Mariaan De Swardt RSA — — – — 3 4 42.9% 0 — — — R32 1,602 115.7 — — — 40.0% -1.40 — -0.7
246 Neus Avila Bonastre ESP — — – — 3 5 37.5% 0 — — — — 1,500 115.0 — — — 44.4% -0.28 — +0.3
247 Barbara Mulej SLO — — – — 2 3 40.0% 0 — — — — 1,481 106.1 — — — 40.0% -0.20 — +0.5
248 Claire Wegink NED — — – — 2 7 22.2% 0 — — R64 — 1,478 91.8 — — — 28.6% -1.76 — +0.4
249 Jane Taylor AUS — — – — 2 3 40.0% 0 R32 — — — 1,476 106.9 — — — 33.3% -1.08 — +0.4
250 Linda Niemantsverdriet NED — — – — 2 3 40.0% 0 — — — — 1,529 110.4 — — — 60.0% +0.40 — -0.2
251 Shirli Ann Siddall GBR — — – — 2 3 40.0% 0 — — R64 — 1,519 91.6 — — — 36.4% -1.54 — +0.2
252 Andrea Vieira BRA — — – — 1 5 16.7% 0 — — — — 1,460 101.2 — — — 16.7% -2.50 — -0.0
253 Angela Lettiere USA — — – — 1 3 25.0% 0 — — — R128 1,488 101.4 — — — 25.0% -2.50 — +0.4
254 Carin Bakkum NED — — – — 1 1 50.0% 0 — — — — 1,424 104.0 — — — 50.0% 0.00 — -0.0
255 Danielle Jones AUS — — – — 1 3 25.0% 0 — — — — 1,492 92.3 — — — 25.0% -2.38 — +0.1
256 Federica Fortuni ITA — — – — 1 1 50.0% 0 — — — — 1,506 99.5 — — — 50.0% -0.50 — +0.1
257 Francesca Romano ITA — — – — 1 1 50.0% 0 — — — — 1,500 101.6 — — — 40.0% -0.80 — 0.0
258 Katharina Buche AUT — — – — 1 1 50.0% 0 — — — — 1,499 92.2 — — — 40.0% -2.20 — +0.1
259 Kathy Rinaldi Stunkel USA — — – — 1 5 16.7% 0 R128 — — — 1,585 107.2 — — — 21.4% -2.00 — -0.2
260 Li Ling Chen CHN — — – — 1 1 50.0% 0 — — — — 1,507 106.3 — — — 50.0% +0.50 — +0.1
261 Li Yao Tang CHN — — – — 1 1 50.0% 0 — — — — 1,500 98.8 — — — 50.0% -0.25 — +0.3
262 Ludmilla Varmuza SMR — — – — 1 1 50.0% 0 — — — — 1,506 101.4 — — — 100.0% +2.50 — +0.1
263 Maria Francesca Bentivoglio ITA — — – — 1 3 25.0% 0 — R64 — — 1,565 97.0 — — — 0.0% -3.67 — +0.1
264 Melissa Mazzotta USA — — – — 1 3 25.0% 0 — — — — 1,490 105.2 — — — 33.3% -1.33 — +0.0
265 Natalia Soetrisno INA — — – — 1 3 25.0% 0 — — — — 1,477 95.6 — — — 25.0% -1.88 — +0.3
266 Nino Louarsabishvili GEO — — – — 1 4 20.0% 0 — — — — 1,479 96.7 — — — 20.0% -2.20 — -0.1
267 Pavlina Rajzlova CZE — — – — 1 2 33.3% 0 — — — — 1,522 102.0 — — — 33.3% -1.67 — +0.0
268 Venus Williams USA — — – — 1 1 50.0% 0 — — — — 1,525 122.1 — — — 60.0% 0.00 — -0.2
269 Alix Creek USA — — – — 0 2 0.0% 0 — — — — 1,464 93.6 — — — 0.0% -3.75 — +0.2
270 Angela Kerek GER — — – — 0 2 0.0% 0 — — — — 1,469 97.2 — — — 33.3% -0.67 — +0.2
271 Anique Snijders NED — — – — 0 1 0.0% 0 — — — — 1,493 98.9 — — — 0.0% -3.50 — 0.0
272 Anne Miller USA — — – — 0 2 0.0% 0 — — — — 1,480 101.0 — — — 20.0% -2.60 — 0.0
273 Ayako Hirose JPN — — – — 0 1 0.0% 0 — — — — 1,490 109.5 — — — 0.0% -4.00 — -0.1
274 Carole Lucarelli FRA — — – — 0 2 0.0% 0 — R128 — — 1,457 97.3 — — — 0.0% -3.25 — +0.2
275 Caroline Delisle CAN — — – — 0 2 0.0% 0 — — — — 1,490 100.7 — — — 20.0% -1.40 — +0.1
276 Catherine Mothes Jobkel FRA — — – — 0 1 0.0% 0 — R128 — — 1,579 93.0 — — — 0.0% -5.00 — -0.0
277 Christiane Hofmann GER — — – — 0 1 0.0% 0 — — — — 1,429 92.5 — — — 0.0% -5.00 — +0.1
278 Cristina Salvi ITA — — – — 0 2 0.0% 0 — — — — 1,485 99.2 — — — 0.0% -5.25 — -0.4
279 Emily Bond GBR — — – — 0 1 0.0% 0 — — — — 1,488 96.9 — — — 33.3% -2.33 — -0.0
280 Erica Adams USA — — – — 0 1 0.0% 0 — — — — 1,483 92.5 — — — 0.0% -5.00 — +0.1
281 Eva Jimenez Sanz ESP — — – — 0 1 0.0% 0 — — — — 1,523 100.9 — — — 0.0% -5.00 — -0.3
282 Geraldine Dondit SUI — — – — 0 1 0.0% 0 — — — — 1,497 105.8 — — — 0.0% -4.00 — -0.3
283 Heike Rusch GER — — – — 0 2 0.0% 0 — — — — 1,529 97.3 — — — 20.0% -2.40 — -0.0
284 Hiroko Hara JPN — — – — 0 1 0.0% 0 — — — — 1,484 99.1 — — — 33.3% -0.67 — +0.1
285 Hiroko Mochizuki JPN — — – — 0 1 0.0% 0 — — — — 1,486 111.4 — — — 33.3% -2.00 — -0.3
286 Hiromi Nagano JPN — — – — 0 4 0.0% 0 — — — — 1,443 101.7 — — — 11.1% -3.11 — -0.1
287 Ingelise Driehuis NED — — – — 0 1 0.0% 0 — — — — 1,451 100.1 — — — 33.3% -1.00 — +0.2
288 Irina Sukhova UKR — — – — 0 1 0.0% 0 — — — — 1,482 98.3 — — — 33.3% -1.33 — +0.2
289 Jean Ceniza USA — — – — 0 1 0.0% 0 — — — — 1,499 106.6 — — — 33.3% -1.00 — -0.2
290 Joanne Ward GBR — — – — 0 1 0.0% 0 — — R128 — 1,488 92.8 — — — 0.0% -5.00 — +0.1
291 Julia Jehs GER — — – — 0 1 0.0% 0 — — — — 1,492 99.1 — — — 33.3% -1.00 — +0.2
292 Junko Watanabe JPN — — – — 0 1 0.0% 0 — — — — 1,487 97.0 — — — 0.0% -4.00 — -0.0
293 Kaoru Shibata JPN — — – — 0 2 0.0% 0 — — — — 1,483 108.3 — — — 33.3% -2.67 — -0.1
294 Karin Ptaszek DEN — — – — 0 1 0.0% 0 — — — — 1,486 94.6 — — — 33.3% -3.33 — +0.1
295 Katja Oeljeklaus GER — — – — 0 2 0.0% 0 — — — — 1,407 113.9 — — — 0.0% -4.00 — -0.2
296 Keiko Nagatomi JPN — — – — 0 1 0.0% 0 — — — — 1,483 98.7 — — — 33.3% -1.00 — +0.3
297 Kim De Weille NED — — – — 0 1 0.0% 0 — — — — 1,494 102.4 — — — 0.0% -3.50 — -0.2
298 Lela Zainal SGP — — – — 0 1 0.0% 0 — — — — 1,485 93.7 — — — 0.0% -5.00 — +0.1
299 Lihini Weerasuriya SRI — — – — 0 1 0.0% 0 — — — — 1,466 98.4 — — — 0.0% -3.50 — -0.0
300 Magdalena Feistel POL — — – — 0 1 0.0% 0 R128 — — — 1,457 93.9 — — — 0.0% -4.50 — +0.2
301 Maja Muric CRO — — – — 0 2 0.0% 0 — — — — 1,488 98.1 — — — 20.0% -2.60 — -0.2
302 Mareen Louie Harper USA — — – — 0 1 0.0% 0 — — — — 1,536 103.8 — — — 0.0% -2.50 — -0.2
303 Maria Strandlund Tomsvik SWE — — – — 0 2 0.0% 0 — — — — 1,546 102.3 — — — 0.0% -2.25 — -0.3
304 Melanie Bernard CAN — — – — 0 1 0.0% 0 — — — — 1,490 102.1 — — — 33.3% -3.00 — -0.2
305 Miki Yokobori JPN — — – — 0 1 0.0% 0 — — — — 1,474 98.3 — — — 33.3% +0.33 — +0.2
306 Mimma Chernovita INA — — – — 0 2 0.0% 0 — — — — 1,481 89.1 — — — 0.0% -5.25 — -0.1
307 Petra Winzenholler GER — — – — 0 2 0.0% 0 — — — — 1,477 97.5 — — — 0.0% -3.25 — +0.0
308 Pimpisamai Kansuthi THA — — – — 0 1 0.0% 0 — — — — 1,492 101.8 — — — 0.0% -3.00 — -0.1
309 Sandy Collins USA — — – — 0 2 0.0% 0 — — — — 1,393 103.0 — — — 33.3% -1.33 — -0.1
310 Shannan Mccarthy USA — — – — 0 2 0.0% 0 — — — — 1,462 104.0 — — — 0.0% -2.50 — -0.2
311 Shu Ping Lin AUS — — – — 0 1 0.0% 0 — — — — 1,484 97.6 — — — 0.0% -3.00 — +0.1
312 Silvia Ramon Cortes ESP — — – — 0 1 0.0% 0 — — — — 1,466 100.0 — — — 0.0% -2.00 — +0.1
313 Stephanie Reece USA — — – — 0 2 0.0% 0 — — — — 1,458 97.0 — — — 0.0% -4.00 — +0.0
314 Susi Fortun Lohrmann GER — — – — 0 1 0.0% 0 — — — — 1,507 — — — — — — — +0.1
315 Ying Bi CHN — — – — 0 1 0.0% 0 — — — — 1,480 94.4 — — — 0.0% -3.50 — +0.3
316 Yu Hsien Liu TPE — — – — 0 1 0.0% 0 — — — — 1,485 93.8 — — — 0.0% -5.00 — +0.1
317 Yuka Tanaka JPN — — – — 0 1 0.0% 0 — — — — 1,482 96.3 — — — 0.0% -3.00 — +0.3
318 Yu Min Fan Chiang TPE — — – — 0 1 0.0% 0 — — — — 1,488 100.1 — — — 0.0% -2.50 — +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.

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