Rankings as of: Dec 29, 1997

WTA 1997 Season Leaders & Rankings

Compare singles rankings, points, and season records. Choose a year to explore earlier standings.

Martina Hingis finished 1997 at WTA No. 1 with 6,264 points.

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Rankings Leaders

Ranking points, results, and season metrics for 1997.

250 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 Martina Hingis SUI 1 6,264 – ▲ 5 72 5 93.5% 12 W F W W 2,313 180.8 — — — 82.8% +2.49 109.7 -0.5
2 Jana Novotna CZE 2 3,711 – ▲ 3 52 15 77.6% 4 — R32 F QF 2,176 170.8 — — — 69.9% +1.51 96.6 -1.1
3 Lindsay Davenport USA 3 3,661 – ▲ 6 57 16 78.1% 6 R16 R16 R64 SF 2,166 175.6 — — — 74.4% +1.95 94.6 +0.6
4 Amanda Coetzer RSA 4 3,131 – ▲ 10 60 25 70.6% 2 SF SF R64 R16 2,014 167.3 — — — 64.8% +1.14 107.6 +0.5
5 Monica Seles USA 5 2,988 – ▼ 3 45 14 76.3% 3 — SF R32 QF 2,180 174.0 — — — 72.3% +1.95 90.3 -0.2
6 Iva Majoli CRO 6 2,867 – ▲ 2 43 21 67.2% 3 R128 W QF R64 1,946 159.5 — — — 60.5% +0.66 106.3 +1.3
7 Mary Pierce FRA 7 2,861 – ▲ 18 45 15 75.0% 1 F R16 R16 R16 2,066 169.1 — — — 68.5% +1.35 108.2 -4.1
8 Irina Spirlea ROU 8 2,494 – ▲ 2 47 23 67.1% 0 QF R16 R16 SF 1,993 165.9 — — — 65.4% +1.01 107.9 +0.6
9 Arantxa Sanchez-Vicario ESP 9 2,317 – ▼ 6 45 22 67.2% 0 R32 QF SF QF 2,026 162.2 — — — 64.2% +1.13 97.4 +1.6
10 Mary Joe Fernandez USA 10 2,114 – ▲ 7 39 16 70.9% 1 SF QF R16 R16 1,990 164.4 — — — 66.9% +1.20 100.0 -1.6
11 Nathalie Tauziat FRA 11 1,998 – ▲ 11 40 21 65.6% 1 — R32 QF R128 1,977 157.1 — — — 60.7% +0.51 105.5 -0.8
12 Conchita Martínez ESP 12 1,987 – ▼ 8 37 19 66.1% 0 R16 R16 R32 R32 2,010 168.8 — — — 61.9% +1.14 100.5 -0.8
13 Anke Huber GER 13 1,822 – ▼ 6 34 24 58.6% 0 R16 R128 R32 R32 1,969 163.8 — — — 57.6% +0.58 96.0 -1.9
14 Sandrine Testud FRA 14 1,811 – ▲ 27 41 22 65.1% 1 R64 R32 R16 QF 1,920 159.0 — — — 60.1% +0.67 108.5 -0.0
15 Brenda Schultz-Mccarthy NED 15 1,497 – ▼ 3 34 25 57.6% 1 R64 R32 R32 R64 1,856 146.3 — — — 57.7% +0.51 100.3 -0.2
16 Sabine Appelmans BEL 16 1,438 – ▲ 3 37 26 58.7% 0 QF R128 R16 R128 1,855 155.7 — — — 58.7% +0.54 93.5 -1.4
17 Lisa Raymond USA 17 1,434 – ▲ 11 31 21 59.6% 0 R64 R16 R64 R64 1,913 159.1 — — — 57.9% +0.55 104.2 -0.7
18 Dominique Monami BEL 18 1,393 – ▲ 31 39 17 69.6% 2 QF R32 R128 R128 1,875 147.0 — — — 66.9% +1.26 104.5 +2.8
19 Yayuk Basuki INA 20 1,226 – ▲ 10 30 22 57.7% 0 R64 R64 QF R64 1,855 155.2 — — — 56.4% +0.51 103.5 -1.8
20 Ai Sugiyama JPN 21 1,201 – ▲ 2 31 25 55.4% 1 R64 R64 R128 R64 1,837 150.1 — — — 51.5% 0.00 106.9 -1.4
21 Venus Williams USA 22 1,173 – ▲ 192 20 13 60.6% 0 — R64 R128 F 1,831 160.2 — — — 55.8% +0.44 108.3 -1.9
22 Barbara Paulus AUT 24 1,133 – ▼ 9 32 16 66.7% 1 — R16 R64 R128 1,878 149.1 — — — 64.8% +1.27 100.4 +3.1
23 Natasha Zvereva BLR 25 1,064 – ▲ 32 25 20 55.6% 0 R32 R16 R128 R32 1,907 154.8 — — — 56.3% +0.19 107.1 -3.1
24 Patty Schnyder SUI 26 922 – ▲ 38 21 24 46.7% 0 R16 R32 R128 R32 1,709 151.6 — — — 50.0% +0.26 90.4 -0.8
25 Joannette Kruger RSA 27 921 – ▲ 111 25 18 58.1% 1 R64 R128 R64 R16 1,785 143.0 — — — 53.0% +0.10 109.9 -1.0
26 Steffi Graf GER 28 888 – ▼ 27 16 4 80.0% 1 R16 QF — — 2,400 149.2 — — — 75.0% +1.65 — 0.0
27 Karina Habsudova SVK 29 874 – ▼ 18 23 23 50.0% 0 R16 R32 R128 R16 1,755 144.1 — — — 50.0% +0.07 98.1 +1.1
28 Anna Kournikova RUS 30 852 – ▲ 37 17 10 63.0% 0 R128 R32 SF R64 1,834 148.9 — — — 58.5% +0.48 110.7 -1.9
29 Elena Likhovtseva RUS 31 845 – ▼ 15 24 24 50.0% 1 R128 R64 R64 R32 1,747 148.3 — — — 50.9% +0.16 95.9 -1.9
30 Chanda Rubin USA 32 843 – ▼ 14 23 20 53.5% 1 R16 R64 R128 R128 1,814 153.7 — — — 53.2% +0.21 104.2 -2.4
31 Anne-Gaelle Sidot FRA 33 814 – ▲ 11 22 24 47.8% 0 R64 R128 R128 R128 1,693 138.3 — — — 47.1% -0.05 103.7 +1.1
32 Naoko Sawamatsu JPN 34 808 – ▲ 5 24 19 55.8% 1 R128 R128 R64 R64 1,849 153.6 — — — 54.0% +0.35 103.9 -1.6
33 Henrieta Nagyova SVK 35 769 – ▲ 3 24 18 57.1% 1 R32 R128 R128 R64 1,814 138.4 — — — 55.3% +0.10 100.5 -1.1
34 Magdalena Maleeva BUL 36 705 – ▼ 16 21 22 48.8% 0 — R128 R32 R32 1,759 148.3 — — — 50.5% +0.23 91.0 +1.3
35 Amy Frazier USA 37 685 – ▼ 4 17 17 50.0% 0 R128 R64 R64 R128 1,819 152.4 — — — 52.6% +0.18 94.6 -2.2
36 Barbara Schett AUT 38 680 – ▼ 6 22 20 52.4% 1 R32 R128 R64 R64 1,752 144.0 — — — 53.3% +0.26 102.6 +0.6
37 Florencia Labat ARG 39 647 – ▲ 9 21 25 45.6% 0 R64 R64 R32 R16 1,674 134.1 — — — 48.1% -0.17 96.2 +1.0
38 Magdalena Grzybowska POL 40 632 – ▲ 92 14 15 48.3% 0 R32 R128 R32 R128 1,639 130.7 — — — 47.9% -0.25 105.8 +0.6
39 Magui Serna ESP 41 617 – ▲ 67 17 16 51.5% 0 R32 R32 R32 R16 1,663 132.3 — — — 48.6% -0.36 107.9 +1.7
40 Sandra Kleinova CZE 42 592 – ▲ 87 13 20 39.4% 0 R32 R128 R128 R128 1,622 131.0 — — — 40.5% -0.55 99.3 -0.1
41 Silvia Farina Elia ITA 43 592 – ▼ 8 16 22 42.1% 0 R32 R32 R128 R64 1,720 140.6 — — — 45.2% -0.34 100.3 -1.9
42 Rita Grande ITA 44 563 – ▲ 30 15 18 45.5% 0 R64 R128 R128 R64 1,667 136.8 — — — 48.7% -0.33 97.9 +0.0
43 Asa Carlsson SWE 45 555 – ▼ 11 18 22 45.0% 0 R32 R128 R128 R128 1,666 133.6 — — — 42.0% -0.69 101.9 -1.6
44 Miriam Oremans NED 46 554 – ▼ 4 15 15 50.0% 0 R128 R128 R128 R32 1,773 137.0 — — — 47.9% +0.10 99.3 -1.6
45 Tamarine Tanasugarn THA 47 554 – ▲ 18 18 20 47.4% 0 R32 R64 R32 R32 1,648 125.5 — — — 48.3% -0.34 100.9 +1.6
46 Rachel Mcquillan AUS 48 515 – ▲ 112 10 10 50.0% 0 R128 R128 R128 R16 1,645 125.0 — — — 46.8% -0.11 99.4 +0.0
47 Mirjana Lucic-Baroni CRO 49 511 – — 11 3 78.6% 1 — — — R32 1,676 143.4 — — — 67.7% +1.23 105.4 +0.1
48 Alexandra Fusai FRA 50 508 – ▲ 9 17 17 50.0% 0 R64 R64 R128 R32 1,669 128.1 — — — 48.0% -0.37 108.7 -0.2
49 Maria Vento-Kabchi VEN 51 501 – ▲ 92 11 7 61.1% 0 — — R16 R64 1,630 124.6 — — — 55.6% +0.22 — +2.0
50 Virginia Ruano Pascual ESP 52 488 – ▲ 39 18 10 64.3% 1 R64 R32 R64 R128 1,732 134.8 — — — 59.7% +0.73 103.6 +0.3
51 María Sánchez Lorenzo ESP 53 486 – ▲ 66 10 10 50.0% 0 R128 — R64 R128 1,610 134.8 — — — 46.7% -0.13 — -0.4
52 Denisa Chladkova CZE 54 485 – ▲ 28 11 18 37.9% 0 R128 R128 QF R64 1,575 112.6 — — — 41.2% -0.60 96.6 +1.3
53 Marion Maruska AUT 55 458 – ▲ 17 15 15 50.0% 1 — R128 R64 R128 1,569 124.0 — — — 45.6% -0.23 106.5 +0.4
54 Gala Leon Garcia ESP 56 456 – ▲ 36 11 13 45.8% 0 R128 R128 R32 R64 1,615 123.2 — — — 46.3% -0.09 98.7 +0.1
55 Sarah Pitkowski-Malcor FRA 57 443 – ▲ 27 14 17 45.2% 0 R128 R64 R64 R64 1,621 127.2 — — — 42.3% -0.52 104.9 +0.3
56 Olga Barabanschikova BLR 58 442 – ▲ 111 10 10 50.0% 0 — R128 R64 R32 1,598 122.9 — — — 46.5% -0.30 103.4 +0.8
57 Corina Morariu USA 59 442 – ▲ 62 12 11 52.2% 0 R128 — R64 R64 1,601 117.2 — — — 54.5% +0.05 104.2 +1.6
58 Sandra Cacic USA 60 441 – ▲ 76 7 11 38.9% 0 R128 R128 R128 R128 1,581 124.7 — — — 43.6% -0.62 96.6 -0.4
59 Francesca Lubiani ITA 61 426 – ▲ 36 12 16 42.9% 0 R64 R128 R128 R64 1,601 132.9 — — — 47.7% -0.46 102.1 -0.2
60 Laura Golarsa ITA 62 425 – ▲ 68 7 9 43.8% 0 R128 R64 R64 R128 1,532 103.8 — — — 46.2% -0.51 — +0.6
61 Nicole Arendt USA 63 421 – ▲ 20 9 8 52.9% 0 R128 R16 R32 R128 1,754 129.2 — — — 50.0% -0.05 — -0.9
62 Jennifer Capriati USA 65 412 – ▼ 28 10 12 45.5% 0 R128 — — R128 1,910 146.0 — — — 49.0% -0.27 95.7 -1.3
63 Kerry-Anne Guse AUS 66 411 – ▲ 86 5 7 41.7% 0 — — R64 R128 1,516 118.2 — — — 40.7% -0.52 — -0.4
64 Shi-Ting Wang TPE 68 405 – ▼ 28 15 18 45.5% 0 R32 R64 R64 — 1,682 134.6 — — — 48.0% +0.09 98.2 -0.9
65 Fang Li CHN 69 399 – ▲ 404 2 3 40.0% 0 — — — R128 1,600 118.4 — — — 45.5% 0.00 — +0.5
66 Yuka Yoshida JPN 70 370 – ▲ 30 11 13 45.8% 0 R64 R64 R64 R64 1,560 109.4 — — — 45.3% -0.55 98.6 +2.1
67 Barbara Rittner GER 71 366 – ▼ 26 10 17 37.0% 0 R128 R128 R64 R128 1,652 135.9 — — — 42.9% -0.07 96.6 -1.1
68 Katarina Studenikova SVK 72 364 – ▼ 41 10 21 32.3% 0 R128 R64 R128 R128 1,637 126.1 — — — 42.6% -0.43 87.2 +0.5
69 Nathalie Dechy FRA 73 358 – ▲ 2 6 11 35.3% 0 R128 R128 R64 R64 1,540 124.9 — — — 42.9% -0.29 — -0.3
70 Naoko Kijimuta JPN 74 350 – ▼ 27 10 17 37.0% 0 R128 R64 R32 R128 1,669 130.1 — — — 40.9% -0.74 99.4 -1.7
71 Ann Grossman USA 75 341 – ▼ 2 10 17 37.0% 0 R64 R32 R128 R128 1,615 123.7 — — — 38.6% -1.25 97.1 -0.4
72 Miho Saeki JPN 76 340 – ▲ 40 5 12 29.4% 0 R128 R128 R128 R128 1,488 122.4 — — — 38.1% -0.95 98.6 +0.4
73 Catalina Cristea ROM 77 340 – ▲ 4 11 19 36.7% 0 R128 R64 R128 R128 1,565 121.5 — — — 39.7% -0.97 98.3 -0.2
74 Emmanuelle Gagliardi SUI 78 336 – ▲ 40 7 9 43.8% 0 R128 R64 R64 R128 1,531 110.3 — — — 47.5% -0.10 98.0 +1.1
75 Helena Sukova CZE 80 332 – ▼ 44 8 21 27.6% 0 R128 R64 R16 R128 1,655 126.9 — — — 32.3% -1.05 92.0 -1.0
76 Meilen Tu USA 81 331 – ▲ 78 6 13 31.6% 0 R64 R128 R128 R64 1,520 114.4 — — — 37.0% -1.07 — -0.0
77 Kristie Boogert NED 82 330 – ▼ 28 6 10 37.5% 0 R32 R128 R128 R128 1,679 128.2 — — — 38.9% -0.78 — -0.8
78 Lenka Nemeckova CZE 83 321 – ▲ 70 6 7 46.1% 0 — R128 R128 — 1,530 107.5 — — — 42.9% -0.54 — +0.7
79 Wiltrud Probst GER 84 317 – ▲ 29 7 9 43.8% 0 R64 R128 R128 R64 1,601 114.5 — — — 32.4% -1.59 — -0.1
80 Jana Kandarr GER 85 315 – ▶ 0 8 17 32.0% 0 R64 R64 R128 R128 1,501 106.6 — — — 32.1% -1.28 98.3 +1.8
81 Cristina Torrens Valero ESP 86 313 – ▲ 9 12 17 41.4% 0 R128 R128 R64 R128 1,570 113.1 — — — 41.8% -0.64 105.1 +0.9
82 Larisa Savchenko URS 87 311 – ▼ 26 8 14 36.4% 0 R64 R64 R128 R128 1,620 121.1 — — — 38.0% -0.46 97.6 +0.4
83 Kristina Brandi PUR 88 310 – ▲ 68 5 9 35.7% 0 R32 R128 R64 R128 1,529 115.8 — — — 42.4% -0.61 100.7 +0.3
84 Andrea Glass GER 89 310 – ▲ 26 3 12 20.0% 0 — R64 R64 R128 1,458 107.6 — — — 33.3% -1.15 98.2 +0.8
85 Gloria Pizzichini ITA 90 305 – ▼ 38 7 13 35.0% 0 R128 R64 R128 R128 1,618 126.0 — — — 36.2% -1.09 103.1 -0.6
86 Ines Gorrochategui ARG 91 303 – ▲ 12 10 14 41.7% 0 R32 R64 R64 R128 1,692 130.7 — — — 46.3% -0.20 94.8 -0.8
87 Adriana Rikl Gersi CZE 92 296 – ▲ 10 6 16 27.3% 0 R64 R128 R128 R128 1,494 116.5 — — — 32.6% -1.30 97.2 +0.7
88 Rika Hiraki JPN 93 295 – ▼ 6 9 16 36.0% 0 R32 R128 R128 R64 1,485 109.9 — — — 41.2% -0.62 98.1 +1.6
89 Sylvia Plischke AUT 95 283 – ▲ 104 0 1 0.0% 0 — — — — 1,465 96.1 — — — 0.0% -4.00 — +0.0
90 Sonya Jeyaseelan CAN 96 280 – ▲ 71 2 3 40.0% 0 — R128 — — 1,481 115.3 — — — 36.4% -1.45 — -0.1
91 Tatiana Panova RUS 97 276 – ▲ 61 3 10 23.1% 0 — R128 R128 R128 1,474 115.4 — — — 30.0% -1.50 98.9 +0.0
92 Els Callens BEL 98 276 – ▼ 47 8 16 33.3% 0 R128 R128 R64 R128 1,579 109.5 — — — 33.3% -1.26 99.4 +0.3
93 Annabel Ellwood AUS 99 274 – ▲ 2 8 19 29.6% 0 R64 R128 R128 R128 1,425 111.8 — — — 37.5% -0.77 91.2 +1.5
94 Amélie Mauresmo FRA 100 259 – ▲ 81 4 6 40.0% 0 — R64 — — 1,556 126.4 — — — 48.0% -0.08 97.2 -0.1
95 Serena Williams USA 101 257 – — 3 2 60.0% 0 — — — — 1,582 144.0 — — — 54.5% +0.82 — -0.2
96 Flora Perfetti ITA 102 250 – ▼ 31 7 15 31.8% 0 R64 R32 R128 R32 1,555 120.2 — — — 38.5% -0.77 97.9 +0.3
97 Jolene Watanabe USA 103 248 – ▼ 24 5 12 29.4% 0 R64 R128 R128 R128 1,534 109.8 — — — 29.3% -1.37 — +0.2
98 Amelie Cocheteux FRA 104 247 – ▲ 64 2 3 40.0% 0 — R64 — — 1,492 108.2 — — — 36.4% -1.00 — +0.1
99 Nana Smith JPN 105 242 – ▼ 35 4 12 25.0% 0 R128 R128 R128 R64 1,542 108.6 — — — 34.3% -1.40 95.7 -0.1
100 Mariana Diaz-Oliva ARG 106 232 – ▲ 35 2 7 22.2% 0 — R128 R128 R128 1,455 102.2 — — — 25.0% -1.38 — +0.1
101 Angelica Gavaldon MEX 107 231 – ▲ 110 1 5 16.7% 0 — — — R128 1,527 94.3 — — — 28.6% -1.79 — +0.7
102 Olga Lugina UKR 108 231 – ▲ 82 2 3 40.0% 0 — — — R128 1,479 99.3 — — — 40.0% -0.80 — +0.6
103 Rene Simpson CAN 109 231 – ▲ 40 3 9 25.0% 0 — R128 R128 R128 1,515 117.2 — — — 34.5% -1.10 — -0.6
104 Nicole Pratt AUS 110 228 – ▲ 82 5 4 55.6% 0 — — R64 R128 1,495 107.7 — — — 52.4% +0.09 — +0.9
105 Sung-Hee Park KOR 111 222 – ▼ 7 1 7 12.5% 0 R128 R128 — — 1,481 95.1 — — — 18.8% -2.13 — +0.4
106 Sandra Dopfer AUT 112 222 – ▼ 18 2 10 16.7% 0 R128 R128 R128 R128 1,491 99.4 — — — 20.8% -1.83 — +0.4
107 Haruka Inoue JPN 113 216 – ▲ 37 3 5 37.5% 0 — — R128 — 1,485 101.9 — — — 33.3% -0.72 — +0.6
108 Janet Lee TPE 114 213 – ▲ 63 3 4 42.9% 0 — R128 — R64 1,525 105.6 — — — 37.5% -1.13 — +0.4
109 Mana Endo JPN 115 212 – ▼ 62 6 11 35.3% 0 R64 R128 R128 — 1,591 112.4 — — — 41.0% -0.49 94.8 +0.4
110 Meike Babel GER 116 211 – — 7 8 46.7% 0 — R32 — R64 1,702 118.4 — — — 40.0% -0.43 — +0.2
111 Sandra Kloesel GER 117 211 – ▲ 53 0 2 0.0% 0 — — — — 1,476 105.2 — — — 20.0% -2.20 — -0.1
112 Paola Suarez ARG 118 210 – ▼ 56 6 16 27.3% 0 R64 R128 R128 R32 1,555 120.2 — — — 33.3% -1.35 97.8 +0.4
113 Tara Snyder USA 120 206 – ▲ 141 1 2 33.3% 0 — — — R64 1,487 121.1 — — — 33.3% -0.83 — -0.0
114 Kristine Kunce AUS 121 204 – ▲ 52 4 5 44.4% 0 R128 — — — 1,591 111.1 — — — 45.0% -0.20 — +0.5
115 Seda Noorlander NED 122 198 – ▲ 76 1 3 25.0% 0 — — — — 1,491 110.2 — — — 42.9% -0.14 — +0.1
116 Pavlina Nola NZL 123 197 – ▲ 161 0 1 0.0% 0 — — — R128 1,495 105.9 — — — 0.0% -3.50 — -0.1
117 Lea Ghirardi FRA 124 194 – ▲ 21 1 3 25.0% 0 — R64 — — 1,483 100.0 — — — 36.4% -1.09 — +0.5
118 Radomira Zrubakova SVK 125 193 – ▼ 35 6 11 35.3% 0 R128 R128 R32 R128 1,570 121.0 — — — 40.5% -0.65 96.1 -0.1
119 Marketa Kochta GER 126 191 – ▲ 56 2 5 28.6% 0 R32 R128 — R128 1,469 97.6 — — — 25.0% -1.75 — +0.8
120 Marlene Weingartner GER 127 187 – ▲ 56 3 7 30.0% 0 — — — — 1,467 106.7 — — — 34.8% -1.48 — +0.5
121 Anne Kremer LUX 128 186 – ▲ 7 1 5 16.7% 0 R128 — R128 — 1,509 117.6 — — — 26.7% -1.27 — -0.5
122 Lenka Cenkova CZE 129 186 – ▼ 9 3 5 37.5% 0 R128 R128 — — 1,546 106.5 — — — 47.1% -0.88 101.6 -0.3
123 Samantha Smith GBR 130 184 – ▲ 14 2 5 28.6% 0 — — R128 R64 1,504 103.1 — — — 33.3% -1.60 — +0.1
124 Evgenia Kulikovskaya RUS 132 180 – ▲ 91 0 1 0.0% 0 — — — — 1,461 98.0 — — — 33.3% -1.33 — +0.2
125 Petra Langrova TCH 133 177 – ▼ 65 4 14 22.2% 0 R128 R128 R128 R128 1,523 109.5 — — — 26.3% -1.79 — +0.2
126 Elena Tatarkova UKR 134 169 – ▲ 62 0 3 0.0% 0 — — — — 1,475 94.9 — — — 0.0% -2.67 — +0.2
127 Lindsay Lee-Waters USA 135 168 – ▼ 29 3 6 33.3% 0 R64 — — R128 1,550 107.5 — — — 35.0% -0.85 — +0.4
128 Jana Nejedly CAN 137 165 – ▼ 9 0 2 0.0% 0 — — — — 1,541 109.4 — — — 0.0% -3.75 — -0.1
129 Eva Martincova CZE 138 160 – ▲ 26 1 5 16.7% 0 — — R128 R128 1,439 116.0 — — — 23.1% -1.62 — -0.5
130 Lorna Woodroffe GBR 139 159 – ▲ 210 1 1 50.0% 0 — — R64 — 1,502 102.4 — — — 50.0% -0.75 — -0.1
131 Aleksandra Olsza POL 141 157 – ▼ 43 1 10 9.1% 0 R128 R128 R64 R128 1,474 89.4 — — — 8.7% -3.13 — +0.2
132 Petra Begerow GER 143 148 – ▼ 85 6 14 30.0% 0 R128 R64 R128 R128 1,539 104.7 — — — 34.8% -1.11 101.1 +0.9
133 Veronika Martinek GER 144 147 – ▲ 2 3 3 50.0% 0 — — — — 1,521 108.0 — — — 50.0% -0.08 — +0.4
134 Ana Alcazar ESP 145 146 – ▲ 71 1 1 50.0% 0 — — — — 1,506 104.1 — — — 60.0% +0.20 — +0.2
135 Kyoko Nagatsuka JPN 146 143 – ▼ 20 1 2 33.3% 0 R128 — — — 1,551 112.1 — — — 42.9% -1.00 — -0.3
136 Karen Cross GBR 147 138 – ▲ 156 2 1 66.7% 0 — — R32 — 1,496 108.5 — — — 71.4% +1.86 — +0.1
137 Mi-Ra Jeon KOR 148 137 – ▲ 97 0 1 0.0% 0 — — — — 1,477 98.2 — — — 0.0% -3.50 — -0.0
138 Erika De Lone USA 149 137 – ▼ 15 1 3 25.0% 0 — — — R128 1,442 109.8 — — — 42.9% -0.57 — +0.3
139 Miriam Schnitzer GER 150 135 – ▲ 105 0 2 0.0% 0 — — R128 — 1,491 99.4 — — — 0.0% -3.75 — -0.2
140 Caroline Dhenin FRA 151 132 – ▲ 23 2 1 66.7% 0 — R32 — — 1,540 118.7 — — — 57.1% +0.72 — -0.0
141 Jessica Steck RSA 153 130 – ▲ 113 0 1 0.0% 0 — — — — 1,482 97.1 — — — 0.0% -2.50 — +0.2
142 Brie Rippner USA 154 129 – ▲ 294 1 2 33.3% 0 — — — R64 1,494 103.3 — — — 33.3% -1.00 — -0.2
143 Liezel Huber USA 156 128 – ▲ 55 0 1 0.0% 0 — — — — 1,482 101.4 — — — 33.3% -1.33 — -0.2
144 Eun-Ha Kim KOR 157 128 – ▲ 103 2 2 50.0% 0 — — — — 1,510 107.7 — — — 50.0% +0.25 — +0.1
145 Shinobu Asagoe JPN 158 127 – ▲ 221 1 1 50.0% 0 — — — — 1,526 110.2 — — — 50.0% -1.75 — -0.1
146 Maureen Drake CAN 159 126 – ▲ 16 0 1 0.0% 0 — — — — 1,423 99.5 — — — 0.0% -3.00 — +0.0
147 Emmanuelle Curutchet FRA 160 125 – ▲ 442 0 1 0.0% 0 — R128 — — 1,493 101.5 — — — 33.3% -0.33 — -0.1
148 Ludmila Richterova CZE 161 125 – ▼ 92 3 7 30.0% 0 R128 R128 R128 R64 1,578 110.7 — — — 40.0% -0.45 — +0.6
149 Ginger Helgeson USA 167 120 – ▲ 583 3 8 27.3% 0 R128 — R64 — 1,639 107.6 — — — 30.4% -1.22 — -0.1
150 Svetlana Krivencheva BUL 168 119 – ▲ 63 0 1 0.0% 0 — — — — 1,479 99.5 — — — 0.0% -3.00 — +0.1
151 Fabiola Zuluaga COL 169 119 – ▼ 27 0 1 0.0% 0 — — — — 1,459 101.2 — — — 33.3% -2.33 — -0.1
152 Lilia Osterloh USA 170 118 – ▲ 25 2 2 50.0% 0 — — — R32 1,550 112.0 — — — 28.6% -2.00 — +0.0
153 Magalie Lamarre FRA 171 116 – ▲ 257 1 1 50.0% 0 — R64 — — 1,521 105.5 — — — 0.0% -2.00 — -0.1
154 Karin Kschwendt AUT 172 116 – ▼ 116 1 12 7.7% 0 R128 — — — 1,536 106.8 — — — 17.2% -2.17 — -0.9
155 Radka Bobkova CZE 173 116 – ▼ 26 1 1 50.0% 0 — — — — 1,526 100.8 — — — 50.0% +0.50 — +0.3
156 Nancy Feber BEL 177 110 – ▼ 67 2 4 33.3% 0 R128 — R128 — 1,516 106.1 — — — 40.0% -0.70 — +0.1
157 Gigi Fernandez USA 180 108 – ▼ 69 3 3 50.0% 0 R64 — R32 R128 1,708 113.2 — — — 46.2% -0.54 — -0.5
158 Evie Dominikovic AUS 182 106 – ▲ 166 0 1 0.0% 0 R128 — — — 1,490 98.5 — — — 33.3% -3.00 — +0.0
159 Laurence Courtois BEL 183 105 – ▼ 140 4 9 30.8% 0 — R128 R128 — 1,647 109.2 — — — 37.0% -1.26 99.6 +0.1
160 Laura Pena ESP 184 104 – ▲ 97 0 3 0.0% 0 — — — — 1,475 89.3 — — — 0.0% -3.67 — -0.2
161 Lucie Ahl GBR 188 103 – ▲ 141 1 3 25.0% 0 — — R128 — 1,490 98.3 — — — 25.0% -1.25 — +0.1
162 Stephanie De Ville BEL 193 102 – ▼ 113 3 12 20.0% 0 R64 R128 R128 — 1,522 98.2 — — — 23.1% -2.00 — -1.0
163 Nirupama Vaidyanathan IND 197 100 – ▼ 21 0 2 0.0% 0 — — — — 1,474 97.0 — — — 20.0% -2.60 — +0.1
164 Meghann Shaughnessy USA 198 100 – ▼ 33 0 1 0.0% 0 — — — — 1,499 96.7 — — — 33.3% -2.33 — +0.0
165 Silvija Talaja CRO 199 100 – ▼ 94 2 4 33.3% 0 R128 R64 — — 1,554 99.9 — — — 38.5% -0.92 — +0.7
166 Dally Randriantefy MAD 205 95 – ▼ 91 2 5 28.6% 0 R128 — — — 1,537 109.8 — — — 37.5% -0.75 — -0.1
167 Sandra Cecchini ITA 206 95 – ▼ 120 4 7 36.4% 0 — R64 — — 1,608 106.4 — — — 39.1% -1.30 — -0.4
168 Julie Pullin GBR 208 94 – ▲ 86 0 2 0.0% 0 — — R128 — 1,494 95.7 — — — 0.0% -3.75 — -0.3
169 Laurence Andretto FRA 210 93 – ▲ 41 0 1 0.0% 0 — R128 — — 1,490 98.8 — — — 0.0% -3.00 — +0.0
170 Linda Wild USA 223 85 – ▼ 194 3 14 17.6% 0 R128 R128 R128 R128 1,625 106.2 — — — 25.6% -2.15 95.7 +0.2
171 Laura Garrone ITA 224 84 – ▲ 33 2 2 50.0% 0 — — — — 1,501 112.4 — — — 50.0% +0.50 — -0.2
172 Milena Nekvapilova CZE 225 83 – ▲ 396 0 1 0.0% 0 — — — — 1,487 95.9 — — — 33.3% -3.33 — +0.0
173 Radka Pelikanova CZE 227 81 – ▲ 58 0 1 0.0% 0 — — — — 1,469 99.1 — — — 0.0% -4.00 — +0.1
174 Saori Obata JPN 228 81 – ▲ 71 0 1 0.0% 0 — — — — 1,455 92.2 — — — 0.0% -5.00 — +0.1
175 Silke Meier GER 234 78 – ▼ 30 0 1 0.0% 0 — — — — 1,482 — — — — — — — -0.1
176 Alice Canepa ITA 235 77 – ▲ 105 0 1 0.0% 0 — — — — 1,506 101.9 — — — 0.0% -4.50 — -0.1
177 Renata Kolbovic CAN 240 76 – ▲ 71 0 1 0.0% 0 — — — — 1,488 96.7 — — — 0.0% -4.00 — +0.1
178 Emilie Loit FRA 243 74 – ▲ 354 0 1 0.0% 0 — R128 — — 1,498 112.1 — — — 33.3% -1.67 — -0.2
179 Jane Chi USA 244 74 – ▼ 89 1 3 25.0% 0 — — — — 1,485 106.6 — — — 25.0% -0.75 — -0.1
180 Bettina Fulco ARG 247 73 – ▼ 114 0 2 0.0% 0 R128 — — — 1,550 97.0 — — — 20.0% -3.00 — +0.1
181 Yoon Jeong Cho KOR 252 69 – ▲ 85 0 1 0.0% 0 — — — — 1,486 95.8 — — — 0.0% -3.00 — +0.0
182 Melanie Schnell AUT 257 67 – ▼ 100 0 2 0.0% 0 — — — — 1,458 102.2 — — — 0.0% -3.75 — -0.0
183 Angeles Montolio ESP 260 66 – ▼ 151 1 4 20.0% 0 R128 R128 — — 1,515 100.3 — — — 25.0% -2.42 — -0.0
184 Karolina Jagieniak FRA 267 63 – ▲ 93 0 1 0.0% 0 — R128 — — 1,497 106.2 — — — 0.0% -5.00 — -0.2
185 Rita Kuti-Kis HUN 277 61 – ▼ 92 0 1 0.0% 0 — — — — 1,516 98.4 — — — 0.0% -4.00 — -0.0
186 Katrina Adams USA 278 61 – ▼ 161 0 2 0.0% 0 R128 — — — 1,524 99.7 — — — 0.0% -2.50 — +0.2
187 Evelyn Fauth AUT 280 61 – ▲ 66 0 1 0.0% 0 — — — — 1,481 101.2 — — — 0.0% -3.50 — -0.1
188 Maja Palaversic CRO 284 58 – ▲ 12 0 1 0.0% 0 — — — — 1,471 98.2 — — — 0.0% -2.00 — +0.2
189 Petra Schwarz AUT 291 55 – ▼ 113 0 1 0.0% 0 — — — — 1,520 98.0 — — — 0.0% -2.00 — +0.2
190 Claire Taylor GBR 295 54 – ▼ 73 0 2 0.0% 0 — — R128 — 1,470 91.2 — — — 0.0% -4.00 — +0.2
191 Lori Mcneil USA 301 51 – ▼ 212 1 7 12.5% 0 R128 R128 R128 R128 1,656 120.2 — — — 22.2% -1.61 — -1.1
192 Anca Barna GER 303 50 – ▼ 16 0 1 0.0% 0 — — — — 1,485 101.8 — — — 0.0% -2.00 — -0.0
193 Elena Brioukhovets UKR 306 50 – ▼ 126 0 1 0.0% 0 — — — — 1,526 99.5 — — — 33.3% -0.33 — +0.1
194 Benjamas Sangaram THA 325 45 – ▲ 69 1 1 50.0% 0 — — — — 1,469 102.0 — — — 50.0% -1.25 — -0.1
195 Jacqueline Trail USA 340 41 – — 1 1 50.0% 0 — — — R64 1,502 101.8 — — — 60.0% +0.60 — +0.4
196 Tatjana Jecmenica SRB 345 38 – ▼ 257 0 2 0.0% 0 R128 — — — 1,557 102.5 — — — 33.3% -0.17 — +0.3
197 Elena Dementieva RUS 349 38 – ▲ 275 0 1 0.0% 0 — — — — 1,492 97.6 — — — 0.0% -4.50 — +0.1
198 Janette Husarova SVK 375 33 – ▼ 298 1 2 33.3% 0 R128 — — — 1,541 102.2 — — — 60.0% +1.00 — -0.0
199 Liza Andriyani INA 379 32 – ▲ 81 1 1 50.0% 0 — — — — 1,509 104.4 — — — 60.0% -0.40 — +0.0
200 Natalia Medvedeva UKR 388 32 – ▼ 295 1 2 33.3% 0 R64 — — R128 1,669 103.1 — — — 28.6% -1.72 — +0.2
201 Wynne Prakusya INA 390 31 – ▲ 366 0 1 0.0% 0 — — — — 1,482 103.1 — — — 0.0% -2.00 — -0.2
202 Alexandra Stevenson USA 394 31 – ▼ 24 0 2 0.0% 0 — — — — 1,475 100.7 — — — 0.0% -3.00 — +0.3
203 Rennae Stubbs AUS 425 27 – ▼ 318 0 1 0.0% 0 — — — — 1,519 102.4 — — — 33.3% -1.00 — +0.0
204 Sarah Taylor USA 493 19 – — 0 1 0.0% 0 — — — — 1,496 103.5 — — — 0.0% -4.00 — -0.1
205 Christina Singer GER 504 18 – ▼ 365 0 1 0.0% 0 — — — — 1,568 100.8 — — — 0.0% -2.50 — +0.1
206 Sabine Hack GER 523 17 – ▼ 477 1 3 25.0% 0 R128 — — — 1,648 95.6 — — — 33.3% -1.89 — +0.5
207 Clare Wood GBR 593 12 – ▼ 358 0 1 0.0% 0 — — R128 — 1,491 98.4 — — — 0.0% -6.00 — -0.2
208 Bryanne Stewart AUS 595 12 – ▼ 95 0 1 0.0% 0 R128 — — — 1,494 97.6 — — — 0.0% -4.50 — -0.1
209 Andrea Temesvari HUN 940 3 – ▼ 756 0 1 0.0% 0 — — — — 1,529 108.1 — — — 0.0% -2.50 — -0.3
210 Ruxandra Dragomir Ilie ROU — — – — 37 26 58.7% 1 R16 QF R128 R128 1,778 145.5 — — — 55.0% +0.30 106.6 +0.6
211 Kimberly Po Messerli USA — — – — 27 20 57.5% 0 QF R32 R128 R32 1,790 146.8 — — — 55.0% +0.44 103.7 +1.0
212 Judith Wiesner AUT — — – — 17 11 60.7% 0 R128 R128 R32 — 1,826 137.1 — — — 61.8% +0.87 95.1 +0.6
213 Alexia Dechaume Balleret FRA — — – — 15 15 50.0% 0 R128 R128 R128 R64 1,621 127.1 — — — 52.8% -0.01 95.3 +0.8
214 Patricia Hy Boulais CAN — — – — 12 19 38.7% 0 R64 R64 R16 R64 1,663 129.6 — — — 40.3% -0.58 99.0 -0.9
215 Elena Makarova RUS — — – — 8 12 40.0% 0 R128 R64 R64 R128 1,703 123.7 — — — 42.2% -0.60 96.1 -0.9
216 Elena Pampoulova BUL — — – — 8 10 44.4% 0 R128 R128 — R32 1,588 124.1 — — — 45.2% -0.95 — -1.0
217 Marianne Werdel Witmeyer USA — — – — 5 4 55.6% 0 R128 — — — 1,673 119.1 — — — 52.6% +0.37 — -0.1
218 Anne Miller USA — — – — 3 13 18.8% 0 R128 — — R128 1,552 119.3 — — — 24.3% -1.76 99.2 -0.5
219 Mariaan De Swardt RSA — — – — 2 5 28.6% 0 — — — — 1,633 100.6 — — — 21.4% -2.07 — +0.1
220 Noelle Van Lottum FRA — — – — 2 9 18.2% 0 R64 R128 R128 R128 1,427 107.1 — — — 26.9% -1.35 — +0.0
221 Pam Shriver USA — — – — 2 1 66.7% 0 — — — — 1,635 111.8 — — — 57.1% +0.86 — -0.2
222 Tami Whitlinger Jones USA — — – — 2 11 15.4% 0 R128 R128 R128 R128 1,596 120.8 — — — 25.8% -1.55 93.1 -1.0
223 Jane Taylor AUS — — – — 1 2 33.3% 0 R64 — — — 1,453 99.3 — — — 28.6% -1.00 — +0.4
224 Nicole Bradtke AUS — — – — 1 2 33.3% 0 R64 — — — 1,696 110.2 — — — 42.9% -0.71 — -0.0
225 Nino Louarsabishvili GEO — — – — 1 2 33.3% 0 — — — — 1,523 109.8 — — — 44.4% -0.55 — -0.2
226 Siobhan Drake Brockman AUS — — – — 1 6 14.3% 0 R128 — — — 1,472 111.7 — — — 20.0% -1.93 — +0.1
227 Yuko Hosoki JPN — — – — 1 2 33.3% 0 — — — — 1,496 99.3 — — — 28.6% -2.43 — -0.0
228 Barbara Mulej SLO — — – — 0 1 0.0% 0 R128 — — — 1,457 99.5 — — — 33.3% -1.00 — +0.2
229 Daphne Van De Zande BEL — — – — 0 1 0.0% 0 — — — — 1,473 96.3 — — — 0.0% -3.00 — +0.2
230 Daria Chernova UKR — — – — 0 1 0.0% 0 — — — — 1,483 91.2 — — — 0.0% -5.50 — +0.1
231 Elena Salvador Reja ESP — — – — 0 1 0.0% 0 — — — — 1,494 90.4 — — — 0.0% -6.00 — -0.2
232 Eva Melicharova CZE — — – — 0 1 0.0% 0 — — — — 1,474 98.1 — — — 0.0% -2.50 — +0.1
233 Ioana Plesu CAN — — – — 0 1 0.0% 0 — — — — 1,486 91.1 — — — 0.0% -5.50 — +0.2
234 Joanne Ward GBR — — – — 0 1 0.0% 0 — — — — 1,467 100.7 — — — 0.0% -3.00 — -0.1
235 Julie Halard-Decugis FRA — — – — 0 1 0.0% 0 — — — — 1,843 108.4 — — — 33.3% -1.67 — -0.2
236 Kristina Triska SWE — — – — 0 2 0.0% 0 — — — — 1,502 96.5 — — — 0.0% -4.00 — +0.0
237 Laura Dellangelo ITA — — – — 0 1 0.0% 0 — — — — 1,485 99.0 — — — 0.0% -2.50 — +0.1
238 Li Ling Chen CHN — — – — 0 1 0.0% 0 R128 — — — 1,565 103.7 — — — 33.3% -1.33 — -0.0
239 Ludmilla Varmuza SMR — — – — 0 1 0.0% 0 — — — — 1,477 110.4 — — — 0.0% -2.00 — -0.1
240 Maja Muric CRO — — – — 0 1 0.0% 0 — — — — 1,472 97.2 — — — 0.0% -3.00 — +0.2
241 Maria Jose Gaidano ARG — — – — 0 2 0.0% 0 — — — — 1,480 99.9 — — — 0.0% -2.25 — -0.0
242 Maria Strandlund Tomsvik SWE — — – — 0 1 0.0% 0 — — — — 1,515 100.1 — — — 33.3% -2.67 — +0.1
243 Marissa Niroj THA — — – — 0 1 0.0% 0 — — — — 1,481 96.1 — — — 0.0% -3.00 — +0.2
244 Mimma Chernovita INA — — – — 0 1 0.0% 0 — — — — 1,452 96.3 — — — 0.0% -4.00 — +0.1
245 Misumi Miyauchi JPN — — – — 0 2 0.0% 0 — — — — 1,439 96.0 — — — 20.0% -2.00 — +0.3
246 Nora Koves HUN — — – — 0 1 0.0% 0 — — — — 1,488 101.4 — — — 0.0% -2.50 — +0.0
247 Rewa Harriman NZL — — – — 0 1 0.0% 0 — — — — 1,480 92.3 — — — 0.0% -5.00 — +0.2
248 Shirli Ann Siddall GBR — — – — 0 3 0.0% 0 — — R128 — 1,487 100.6 — — — 14.3% -2.14 — -0.1
249 Sofia Prazeres POR — — – — 0 1 0.0% 0 — — — — 1,461 98.9 — — — 0.0% -2.50 — +0.0
250 Virag Csurgo HUN — — – — 0 1 0.0% 0 — — — — 1,494 97.8 — — — 0.0% -2.50 — +0.1

How to read these columns

Rank
For the current season, this is the latest ranking. For past seasons, this is the year-end ranking.
Points
Official ranking points from the selected ranking snapshot.
Wk +/−
Ranking change since the previous ranking snapshot.
YTD Δ
Ranking change since the start of the season.
Win %
Wins divided by total completed main-draw matches.
Elo
Latest TennisDB Elo for the current season; year-end Elo for past seasons. Its played-match pool includes qualifying, WTA 125, and official Olympic singles, so it differs from main-tour W-L.
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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