Rankings as of: Dec 27, 1999

WTA 1999 Season Leaders & Rankings

Rankings, leaderboards, and performance stats by season.

Martina Hingis finished 1999 at WTA No. 1 with 6,074 points.

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Rankings Leaders

Ranking points, results, and season metrics for 1999.

271 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 6,074 – ▲ 1 70 12 85.4% 7 W F R128 F 2,287 181.2 — — — 81.3% +2.39 100.4 -1.8
2 Lindsay Davenport USA 2 4,841 – ▼ 1 58 11 84.1% 7 SF QF W SF 2,327 179.8 — — — 82.2% +2.53 101.9 -1.2
3 Venus Williams USA 3 4,378 – ▲ 2 57 12 82.6% 6 QF R16 QF SF 2,248 179.2 — — — 77.5% +1.83 105.8 -4.1
4 Steffi Graf GER 3 4,279 – ▲ 6 34 9 79.1% 1 QF W F — 2,242 171.2 — — — 70.7% +1.82 98.9 -2.5
5 Serena Williams USA 4 3,021 – ▲ 16 38 7 84.4% 5 R32 R32 — W 2,189 178.2 — — — 80.2% +2.10 108.5 -2.7
6 Mary Pierce FRA 5 2,658 – ▲ 2 45 19 70.3% 1 QF R64 R16 QF 2,053 167.4 — — — 67.8% +1.34 99.5 +1.2
7 Monica Seles USA 6 2,310 – ▶ 0 36 12 75.0% 1 SF SF R32 QF 2,120 173.1 — — — 73.3% +2.05 97.5 -0.3
8 Nathalie Tauziat FRA 7 2,213 – ▲ 3 37 23 61.7% 2 — R64 QF R32 1,988 153.0 — — — 58.7% +0.52 95.8 +0.2
9 Barbara Schett AUT 8 2,188 – ▲ 15 46 23 66.7% 0 R16 R32 R16 QF 1,937 163.4 — — — 62.7% +1.08 101.1 -0.5
10 Julie Halard-Decugis FRA 9 1,977 – ▲ 13 47 22 68.1% 2 R64 R16 R32 R16 1,930 160.9 — — — 63.8% +0.88 110.3 +0.1
11 Amélie Mauresmo FRA 10 1,906 – ▲ 19 32 14 69.6% 1 F R64 — R16 1,911 159.1 — — — 61.2% +0.73 109.0 +1.7
12 Amanda Coetzer RSA 11 1,846 – ▲ 6 37 25 59.7% 0 R16 R128 R32 R128 1,816 156.1 — — — 53.8% +0.19 101.8 +0.5
13 Anna Kournikova RUS 12 1,641 – ▲ 1 35 19 64.8% 0 R16 R16 R16 — 1,935 156.5 — — — 60.0% +0.58 102.0 -2.6
14 Sandrine Testud FRA 13 1,635 – ▲ 1 36 25 59.0% 0 R16 R64 R32 R64 1,900 157.5 — — — 56.7% +0.48 103.8 +2.2
15 Dominique Monami BEL 14 1,621 – ▼ 2 37 25 59.7% 0 QF R128 R16 R32 1,840 149.4 — — — 58.8% +0.77 100.4 +2.8
16 Conchita Martínez ESP 15 1,564 – ▼ 7 38 22 63.3% 1 R32 QF R32 R16 1,898 159.2 — — — 60.1% +0.91 101.6 -1.2
17 Anke Huber GER 16 1,548 – ▲ 5 32 26 55.2% 0 R64 — R128 QF 1,872 155.9 — — — 52.6% +0.17 97.6 -1.5
18 Arantxa Sanchez-Vicario ESP 17 1,435 – ▼ 13 25 17 59.5% 1 R64 SF R64 R16 1,923 153.3 — — — 55.2% +0.49 100.8 -0.6
19 Elena Likhovtseva RUS 18 1,393 – ▲ 8 34 29 54.0% 0 R32 R32 R32 R16 1,755 151.4 — — — 52.5% +0.32 98.6 -0.9
20 Jana Novotna CZE 18 1,420 – ▼ 15 26 15 63.4% 1 R32 R16 QF R32 1,925 151.5 — — — 60.2% +0.60 97.8 +0.2
21 Amy Frazier USA 19 1,299 – ▲ 23 31 19 62.0% 1 R64 R64 R128 R32 1,877 154.2 — — — 57.8% +0.40 101.8 -1.5
22 Patty Schnyder SUI 21 1,189 – ▼ 10 29 23 55.8% 1 R64 R32 R128 R32 1,792 148.7 — — — 54.3% -0.08 102.0 -0.1
23 Chanda Rubin USA 22 1,188 – ▲ 13 33 20 62.3% 1 R16 R64 R128 R128 1,839 156.4 — — — 62.2% +0.81 98.5 -2.5
24 Jennifer Capriati USA 23 1,140 – ▲ 76 26 13 66.7% 2 R64 R16 R64 R16 1,912 147.1 — — — 59.1% +0.65 106.4 -2.3
25 Ai Sugiyama JPN 24 1,122 – ▼ 6 27 23 54.0% 0 R128 R64 R64 R32 1,807 151.0 — — — 53.0% +0.21 99.6 -1.1
26 Nathalie Dechy FRA 25 1,022 – ▲ 25 32 23 58.2% 0 R128 R32 R16 R128 1,788 147.7 — — — 55.1% +0.41 108.9 -1.1
27 Silvia Farina Elia ITA 26 976 – ▼ 7 30 26 53.6% 0 R128 R32 R64 R64 1,783 146.6 — — — 57.7% +0.55 90.7 -2.3
28 Natasha Zvereva BLR 27 972 – ▼ 11 24 19 55.8% 1 R32 R64 R64 R64 1,824 141.3 — — — 54.8% +0.40 99.9 -0.8
29 Lisa Raymond USA 28 960 – ▼ 1 22 23 48.9% 0 R128 R128 R16 R64 1,784 143.4 — — — 49.5% +0.06 98.1 -0.5
30 Silvija Talaja CRO 29 852 – ▲ 56 32 22 59.3% 0 R128 R32 R128 R128 1,699 132.3 — — — 57.5% +0.55 102.0 +1.2
31 Sabine Appelmans BEL 30 836 – ▲ 18 25 21 54.4% 0 R32 R128 R64 R16 1,778 137.2 — — — 56.3% +0.48 95.0 -0.1
32 Anne Kremer LUX 31 834 – ▲ 43 19 23 45.2% 0 R64 R64 R32 R64 1,639 130.5 — — — 46.8% -0.28 98.6 +1.4
33 Henrieta Nagyova SVK 32 826 – ▼ 4 25 22 53.2% 1 R64 R128 R128 R32 1,695 137.0 — — — 55.8% +0.45 90.6 +0.6
34 Irina Spirlea ROU 33 818 – ▼ 18 20 25 44.4% 0 R128 R32 R128 R32 1,757 144.0 — — — 48.5% -0.19 97.7 -1.9
35 Anne-Gaelle Sidot FRA 34 817 – ▲ 20 17 26 39.5% 0 R128 R128 R128 R64 1,718 146.5 — — — 41.1% -0.56 99.6 -1.6
36 Sylvia Plischke AUT 35 808 – ▲ 6 16 25 39.0% 0 R32 QF R64 R64 1,608 135.3 — — — 40.4% -0.66 101.6 +0.6
37 Sarah Pitkowski-Malcor FRA 36 773 – ▼ 3 28 21 57.1% 1 R128 R128 R32 R64 1,708 133.4 — — — 53.7% +0.36 104.9 +1.3
38 Corina Morariu USA 37 761 – ▼ 6 22 23 48.9% 1 R128 R128 R32 R128 1,749 149.3 — — — 52.0% +0.25 97.2 -1.1
39 Mary Joe Fernandez USA 38 742 – ▲ 39 17 13 56.7% 0 R32 R16 R128 R16 1,901 152.1 — — — 56.5% +0.72 93.5 -2.8
40 Magui Serna ESP 39 715 – ▼ 15 19 27 41.3% 0 R64 R128 R128 R32 1,654 132.2 — — — 44.4% -0.50 92.7 +1.1
41 Tatiana Panova RUS 40 714 – ▲ 38 14 23 37.8% 0 R64 R128 R32 R128 1,583 124.6 — — — 45.3% -0.71 97.6 +1.0
42 María Sánchez Lorenzo ESP 41 707 – ▲ 31 19 21 47.5% 1 R16 R32 R32 R64 1,667 135.6 — — — 48.9% -0.11 101.4 +0.3
43 Barbara Schwartz AUT 42 705 – ▲ 76 13 13 50.0% 0 R64 QF R128 R128 1,638 138.2 — — — 52.5% +0.41 100.5 -0.4
44 Jelena Dokic AUS 43 698 – ▲ 174 11 10 52.4% 0 R32 R128 QF R128 1,611 133.7 — — — 50.0% +0.10 — -0.4
45 Kveta Peschke CZE 44 671 – ▲ 16 13 18 41.9% 0 R128 R32 R128 R128 1,703 141.0 — — — 42.9% -0.50 107.3 -0.8
46 Alexandra Stevenson USA 45 669 – ▲ 87 13 11 54.2% 0 — — SF R128 1,673 132.4 — — — 49.1% -0.36 112.3 -1.5
47 Kim Clijsters BEL 46 668 – ▲ 374 16 7 69.6% 1 — — R16 R32 1,724 145.5 — — — 67.3% +1.53 — -0.4
48 Anna Smashnova ISR 47 644 – ▲ 2 21 23 47.7% 1 R64 R32 R128 R128 1,636 138.3 — — — 48.5% -0.03 99.1 +0.5
49 Mirjana Lucic-Baroni CRO 48 640 – ▲ 3 11 13 45.8% 0 R128 R128 SF R64 1,753 132.9 — — — 45.6% -0.53 107.0 -0.6
50 Karina Habsudova SVK 49 635 – ▲ 21 21 15 58.3% 1 R32 R128 R64 R64 1,762 138.7 — — — 56.6% +0.40 100.5 -1.3
51 Cara Black ZIM 50 629 – ▼ 6 17 22 43.6% 0 R128 R128 R128 R128 1,629 136.6 — — — 43.5% -0.29 100.2 -1.7
52 Fabiola Zuluaga COL 51 619 – ▲ 36 19 11 63.3% 2 — R32 R128 R64 1,686 133.5 — — — 59.7% +0.76 105.9 +1.6
53 Cristina Torrens Valero ESP 52 616 – ▲ 45 21 14 60.0% 1 R128 R32 R128 R128 1,654 124.5 — — — 57.5% +0.31 104.5 +0.6
54 Gala Leon Garcia ESP 53 609 – ▶ 0 16 17 48.5% 0 R128 R16 R128 R64 1,722 136.4 — — — 52.1% +0.03 96.0 -1.1
55 Rita Grande ITA 54 593 – ▲ 5 21 18 53.9% 0 R32 R128 R64 R64 1,677 125.6 — — — 50.0% -0.45 110.9 -0.7
56 Kristina Brandi PUR 55 578 – ▲ 16 16 18 47.1% 1 R64 R128 R128 R128 1,604 122.3 — — — 50.0% +0.11 101.4 +0.7
57 Nicole Pratt AUS 56 548 – ▲ 57 15 17 46.9% 0 R32 R128 R128 R64 1,598 112.5 — — — 47.0% -0.68 103.5 +0.1
58 Maureen Drake CAN 57 547 – ▲ 73 12 15 44.4% 0 R16 R128 R64 R128 1,554 130.6 — — — 45.0% -0.32 102.7 +0.2
59 Denisa Chladkova CZE 58 542 – ▲ 61 18 15 54.5% 0 R128 R128 R128 R128 1,636 129.9 — — — 52.1% +0.23 105.2 -0.2
60 Barbara Rittner GER 59 524 – ▲ 7 15 18 45.5% 0 — R64 R64 R128 1,654 126.4 — — — 45.8% -0.24 100.6 -0.7
61 Angeles Montolio ESP 60 515 – ▲ 212 9 8 52.9% 0 — — — R32 1,592 119.9 — — — 53.8% +0.05 99.0 +0.4
62 Asa Carlsson SWE 61 512 – ▲ 31 14 12 53.9% 1 R64 R32 R128 R64 1,658 119.8 — — — 50.8% +0.08 99.5 +1.3
63 Elena Dementieva RUS 62 508 – ▲ 124 11 11 50.0% 0 R64 R64 R128 R32 1,583 124.5 — — — 54.0% +0.38 — +1.5
64 Sandra Kleinova CZE 63 501 – ▲ 98 10 14 41.7% 0 R128 — R128 R128 1,530 118.7 — — — 43.1% -0.47 106.0 +0.9
65 Amelie Cocheteux FRA 64 493 – ▲ 17 15 19 44.1% 0 R128 R128 R64 R32 1,565 110.5 — — — 42.0% -0.90 107.5 +1.2
66 Anastasia Myskina RUS 65 484 – ▲ 234 10 6 62.5% 1 — — — R64 1,620 127.2 — — — 59.0% +0.67 104.6 +0.3
67 Katarina Srebotnik SLO 66 471 – ▲ 184 11 11 50.0% 1 — R64 R128 R128 1,520 114.5 — — — 48.9% -0.04 — +1.9
68 Erika De Lone USA 67 468 – ▲ 111 5 7 41.7% 0 R128 — R128 R128 1,510 115.1 — — — 48.0% -0.12 — +0.3
69 Emmanuelle Gagliardi SUI 68 452 – ▲ 33 11 14 44.0% 0 — R64 R128 R128 1,563 123.3 — — — 43.4% -0.13 98.5 -0.7
70 Justine Henin BEL 69 451 – ▲ 158 11 6 64.7% 1 — R64 — R128 1,655 135.1 — — — 64.1% +1.38 101.1 -0.6
71 Ines Gorrochategui ARG 70 450 – ▲ 205 14 10 58.3% 0 — R64 R32 R128 1,705 132.0 — — — 53.7% +0.50 103.6 -0.1
72 Tamarine Tanasugarn THA 71 439 – ▼ 34 8 13 38.1% 0 R128 R128 R16 R64 1,633 113.0 — — — 40.8% -0.57 99.4 +0.5
73 Paola Suarez ARG 72 421 – ▲ 8 12 12 50.0% 0 R128 R64 R128 R64 1,596 122.0 — — — 47.4% -0.07 103.6 +0.1
74 Lubomira Bacheva BUL 73 416 – ▲ 82 7 10 41.2% 0 — R64 R128 R128 1,493 110.9 — — — 40.5% -0.49 — +0.3
75 Tara Snyder USA 74 415 – ▼ 40 11 20 35.5% 0 R128 R128 R64 R32 1,664 126.1 — — — 35.2% -1.13 106.4 -1.8
76 Magdalena Maleeva BUL 76 385 – ▲ 40 12 8 60.0% 1 — R128 — — 1,741 133.4 — — — 60.0% +1.06 96.9 +0.2
77 Adriana Rikl Gersi CZE 77 382 – ▼ 14 9 15 37.5% 0 R128 R64 — R64 1,545 110.5 — — — 37.7% -0.74 — +0.2
78 Laurence Courtois BEL 78 374 – ▲ 47 13 17 43.3% 0 R128 R128 R128 R128 1,546 109.3 — — — 45.2% -0.32 97.3 +1.9
79 Lilia Osterloh USA 79 373 – ▲ 41 9 13 40.9% 0 R128 R64 R128 R128 1,545 126.1 — — — 40.0% -0.98 — -0.1
80 Seda Noorlander NED 80 369 – ▲ 34 9 15 37.5% 0 R64 R128 R32 R64 1,513 116.2 — — — 38.2% -0.69 97.0 +0.5
81 Tina Pisnik SLO 81 363 – ▲ 333 11 9 55.0% 0 — — — R64 1,595 124.1 — — — 52.2% +0.17 105.1 +0.0
82 Els Callens BEL 82 356 – ▲ 20 7 9 43.8% 0 R64 R64 R128 R128 1,569 122.3 — — — 44.4% -0.08 — +0.0
83 Amanda Hopmans NED 83 347 – ▲ 51 9 13 40.9% 0 — R128 R64 R64 1,549 120.0 — — — 40.4% -0.70 98.1 -0.4
84 Andrea Glass GER 84 346 – ▼ 8 8 12 40.0% 0 R32 R64 R128 R128 1,580 130.0 — — — 45.8% -0.50 98.4 -0.3
85 Virginia Ruano Pascual ESP 85 346 – ▼ 53 12 16 42.9% 0 R64 R128 R128 R32 1,660 125.0 — — — 46.0% -0.25 — +0.1
86 Fang Li CHN 86 343 – ▼ 46 6 12 33.3% 0 R64 R128 R128 R64 1,585 117.9 — — — 37.8% -0.59 97.9 -0.1
87 Rita Kuti-Kis HUN 87 342 – ▲ 28 13 15 46.4% 0 R128 R128 R128 R128 1,559 114.8 — — — 48.4% -0.16 97.5 +0.6
88 Jana Nejedly CAN 88 338 – ▼ 13 5 13 27.8% 0 R32 R64 R128 R128 1,496 102.5 — — — 27.5% -1.72 — +0.7
89 Olga Barabanschikova BLR 89 335 – ▼ 28 13 21 38.2% 0 — R64 R64 R128 1,555 109.7 — — — 41.7% -0.45 97.0 +0.8
90 Patricia Wartusch AUT 90 333 – ▲ 47 5 7 41.7% 0 — — — — 1,507 110.3 — — — 48.3% -0.31 — +0.3
91 Brie Rippner USA 91 325 – ▲ 16 8 11 42.1% 0 R64 R128 R64 R128 1,589 131.0 — — — 45.2% -0.05 96.4 -0.9
92 Marlene Weingartner GER 92 319 – ▲ 12 7 14 33.3% 0 R128 R128 R64 R128 1,532 112.0 — — — 34.8% -1.74 — -0.4
93 Nadia Petrova RUS 93 319 – ▲ 52 3 5 37.5% 0 R128 — R64 — 1,567 119.8 — — — 38.9% -1.06 — -0.1
94 Kristie Boogert NED 94 318 – ▼ 11 9 12 42.9% 0 R128 R64 R64 — 1,602 113.2 — — — 44.7% -0.30 105.0 -0.5
95 Janet Lee TPE 95 311 – ▼ 9 5 10 33.3% 0 R32 R128 R64 R128 1,487 111.5 — — — 38.2% -0.50 — +0.6
96 Alicia Molik AUS 96 305 – ▲ 74 7 12 36.8% 0 R128 R32 R128 R128 1,537 124.1 — — — 40.0% -0.67 — -0.4
97 Jelena Kostanic Tosic CRO 97 303 – ▲ 143 4 5 44.4% 0 — — — R64 1,512 116.4 — — — 45.5% -0.14 — +0.3
98 Miriam Oremans NED 98 303 – ▼ 41 8 17 32.0% 0 R128 R128 R128 R128 1,627 117.1 — — — 34.0% -1.19 — -1.8
99 Meghann Shaughnessy USA 99 297 – ▼ 30 10 22 31.2% 0 R128 R128 R64 R128 1,438 99.7 — — — 36.5% -0.77 93.7 +2.3
100 Emilie Loit FRA 101 293 – ▼ 5 3 15 16.7% 0 R16 R128 R128 R128 1,424 101.4 — — — 26.2% -1.86 — +0.6
101 Ludmila Cervanova SVK 102 288 – ▲ 33 5 9 35.7% 0 — R128 R128 R128 1,529 121.2 — — — 36.4% -0.67 101.7 -1.0
102 Meilen Tu USA 103 284 – ▲ 106 3 11 21.4% 0 R64 R128 — R128 1,484 108.0 — — — 28.1% -1.50 — -0.2
103 Miroslava Vavrinec SUI 104 282 – ▲ 162 3 4 42.9% 0 — R128 — — 1,516 109.1 — — — 42.9% -0.71 — +0.6
104 Annabel Ellwood AUS 105 279 – ▲ 33 0 5 0.0% 0 R128 — — — 1,405 95.7 — — — 16.7% -2.42 — +0.2
105 Jane Chi USA 106 279 – ▼ 22 9 13 40.9% 0 R64 R128 R128 R64 1,521 108.0 — — — 37.5% -0.90 101.5 +2.1
106 Mariana Diaz-Oliva ARG 107 274 – ▼ 12 9 11 45.0% 0 R128 R64 R64 — 1,510 99.1 — — — 41.3% -0.44 105.7 +1.3
107 Lenka Nemeckova CZE 108 269 – ▲ 34 7 7 50.0% 0 R128 — — R128 1,543 110.5 — — — 44.1% -0.91 — -0.1
108 Petra Mandula HUN 109 266 – ▲ 62 4 4 50.0% 0 — — — — 1,515 104.6 — — — 47.6% +0.10 — +0.5
109 Maria Vento-Kabchi VEN 110 262 – ▼ 67 3 16 15.8% 0 R128 R128 R64 R128 1,534 107.0 — — — 22.7% -2.05 — -0.4
110 Sandra Nacuk SCG 111 262 – ▲ 22 4 10 28.6% 0 — R128 R128 R128 1,508 133.5 — — — 38.9% -0.97 — -1.1
111 Julia Abe GER 112 258 – ▲ 37 4 6 40.0% 0 — — — — 1,533 112.5 — — — 50.0% -0.29 — +0.7
112 Jolene Watanabe USA 113 248 – ▲ 15 1 4 20.0% 0 — R128 R128 — 1,463 95.0 — — — 20.0% -2.00 — +0.5
113 Pavlina Nola NZL 115 244 – ▼ 22 2 7 22.2% 0 R128 R128 R128 R128 1,456 96.1 — — — 28.6% -2.09 — +1.0
114 Elena Tatarkova UKR 116 240 – ▼ 69 6 19 24.0% 0 R128 R128 R64 R128 1,514 110.0 — — — 27.8% -1.46 97.6 -0.2
115 Florencia Labat ARG 117 236 – ▼ 53 3 6 33.3% 0 R64 — — — 1,620 118.4 — — — 35.0% -1.25 — -0.6
116 Anca Barna GER 118 235 – ▲ 63 3 7 30.0% 0 — — — R128 1,446 100.8 — — — 26.3% -1.47 — +0.7
117 Miho Saeki JPN 119 230 – ▼ 30 6 11 35.3% 0 R64 R128 R64 — 1,525 118.8 — — — 42.5% -0.47 99.7 +0.1
118 Samantha Reeves USA 121 227 – ▼ 10 4 8 33.3% 0 R64 — — R64 1,480 106.1 — — — 34.6% -1.65 — +0.5
119 Shinobu Asagoe JPN 122 227 – ▲ 35 3 3 50.0% 0 — — — — 1,507 112.7 — — — 53.8% +0.38 — +0.7
120 Adriana Serra Zanetti ITA 125 224 – ▼ 2 7 10 41.2% 0 R64 R64 R128 — 1,537 106.3 — — — 40.5% -1.05 — +0.6
121 Tathiana Garbin ITA 126 222 – ▼ 5 5 9 35.7% 0 R128 — — — 1,467 104.0 — — — 40.0% -0.57 101.8 +1.1
122 Catalina Cristea ROM 127 219 – ▼ 60 5 15 25.0% 0 R64 R128 R128 R128 1,520 107.5 — — — 30.4% -1.39 97.3 +0.1
123 Joannette Kruger RSA 129 215 – ▼ 99 9 13 40.9% 0 — R128 R128 — 1,646 113.5 — — — 39.6% -0.53 102.5 -0.1
124 Mashona Washington USA 130 213 – ▲ 34 4 5 44.4% 0 — — — R128 1,506 104.0 — — — 47.4% -0.53 — +0.8
125 Marissa Irvin USA 131 206 – ▲ 281 0 2 0.0% 0 — — — — 1,487 102.2 — — — 0.0% -4.50 — -0.3
126 Kerry-Anne Guse AUS 132 206 – ▲ 12 2 3 40.0% 0 — — R128 — 1,515 102.6 — — — 46.2% -0.46 — +0.2
127 Francesca Lubiani ITA 133 202 – ▲ 3 0 2 0.0% 0 — — — — 1,517 96.5 — — — 20.0% -1.80 — +0.1
128 Nana Smith JPN 134 200 – ▼ 17 0 3 0.0% 0 R128 — — — 1,521 112.5 — — — 14.3% -1.86 — -0.6
129 Martina Sucha SVK 135 199 – ▲ 132 0 1 0.0% 0 — — — — 1,485 98.0 — — — 33.3% -1.00 — +0.1
130 Tatiana Poutchek BLR 136 196 – ▲ 72 0 1 0.0% 0 — — — R128 1,483 112.8 — — — 0.0% -4.50 — -0.2
131 Katalin Marosi HUN 137 196 – ▲ 42 1 3 25.0% 0 — — — — 1,488 96.1 — — — 36.4% -1.64 — -0.0
132 Jennifer Hopkins USA 138 193 – ▲ 571 0 2 0.0% 0 — — — R128 1,481 96.9 — — — 0.0% -3.50 — -0.1
133 Christina Papadaki GRE 139 193 – ▼ 13 6 10 37.5% 0 R128 R128 R128 R128 1,481 108.5 — — — 44.4% -0.64 95.5 +0.7
134 Louise Latimer GBR 140 189 – ▲ 26 1 3 25.0% 0 — — R64 — 1,498 97.6 — — — 33.3% -0.56 — +0.3
135 Vanessa Webb CAN 141 189 – ▲ 77 0 1 0.0% 0 — — — — 1,449 96.7 — — — 0.0% -3.50 — +0.3
136 Jing-Qian Yi CHN 142 186 – ▲ 57 0 1 0.0% 0 — — — — 1,556 98.5 — — — 0.0% -2.00 — -0.0
137 Nicole Arendt USA 143 182 – ▲ 257 5 4 55.6% 0 — R64 R64 — 1,750 114.1 — — — 55.0% +0.25 — -0.3
138 Tina Krizan SLO 145 180 – ▼ 4 1 5 16.7% 0 R128 — — R64 1,458 110.3 — — — 28.6% -1.72 — +0.1
139 Yuka Yoshida JPN 146 180 – ▼ 43 2 3 40.0% 0 R128 — — — 1,536 104.4 — — — 41.7% -0.92 — +0.6
140 Marta Marrero ESP 147 179 – ▲ 215 2 2 50.0% 0 — — — — 1,516 98.9 — — — 40.0% -0.30 — +0.0
141 Raluca Sandu ROM 148 176 – ▼ 50 4 10 28.6% 0 R128 R64 — — 1,468 89.0 — — — 31.3% -1.84 — +1.0
142 Sonya Jeyaseelan CAN 149 174 – ▼ 40 2 6 25.0% 0 R128 R128 R128 — 1,533 113.1 — — — 31.6% -1.21 — -0.0
143 Sandra Kloesel GER 150 174 – ▲ 27 2 3 40.0% 0 — — — R32 1,489 119.9 — — — 40.0% -0.90 — +0.2
144 Evie Dominikovic AUS 151 171 – ▲ 66 0 1 0.0% 0 R128 — — — 1,476 107.0 — — — 33.3% -1.00 — -0.1
145 Lea Ghirardi FRA 152 168 – ▼ 30 2 3 40.0% 0 R64 R64 — — 1,518 109.0 — — — 38.5% -1.08 — +0.1
146 Shi-Ting Wang TPE 153 167 – ▼ 95 4 11 26.7% 0 R128 R128 R128 R128 1,583 118.9 — — — 30.3% -1.33 — -1.2
147 Surina De Beer RSA 154 166 – ▼ 7 1 1 50.0% 0 — — — — 1,521 98.3 — — — 40.0% -0.40 — +0.3
148 Giulia Casoni ITA 156 160 – ▲ 141 2 1 66.7% 0 — — — — 1,506 104.7 — — — 71.4% +1.14 — +0.3
149 Jana Kandarr GER 157 157 – ▼ 67 1 9 10.0% 0 R128 — — R128 1,444 104.2 — — — 20.8% -1.50 — -0.4
150 Marion Maruska AUT 158 157 – ▼ 10 0 5 0.0% 0 — — — — 1,464 92.3 — — — 9.1% -2.45 — +0.4
151 Hila Rosen ISR 159 156 – ▲ 25 0 2 0.0% 0 — — — — 1,456 95.6 — — — 0.0% -2.25 — +0.3
152 Rachel Mcquillan AUS 160 155 – ▲ 25 1 3 25.0% 0 R64 — — — 1,520 111.6 — — — 30.0% -1.00 — +0.1
153 Angelika Bachmann GER 162 154 – ▲ 230 4 2 66.7% 0 — — — — 1,554 109.8 — — — 61.5% +0.54 — +0.2
154 Lisa Mcshea AUS 163 153 – ▲ 43 0 1 0.0% 0 — — — R128 1,446 96.0 — — — 0.0% -3.50 — +0.1
155 Iva Majoli CRO 164 153 – ▼ 139 5 11 31.2% 0 — — — R128 1,694 121.9 — — — 35.1% -1.08 — +0.2
156 Lina Krasnoroutskaya RUS 165 149 – ▲ 401 4 2 66.7% 0 — — — — 1,579 123.2 — — — 58.8% +0.41 — -0.1
157 Lucie Ahl GBR 167 149 – ▲ 65 0 2 0.0% 0 — — R128 — 1,472 102.0 — — — 0.0% -3.75 — -0.1
158 Laura Golarsa ITA 168 146 – ▼ 74 3 10 23.1% 0 R128 R128 R32 R128 1,512 94.5 — — — 22.2% -2.37 — +0.1
159 Julie Pullin GBR 171 140 – ▼ 15 0 2 0.0% 0 — — R128 — 1,470 97.1 — — — 0.0% -3.50 — -0.3
160 Wynne Prakusya INA 172 138 – ▲ 30 1 2 33.3% 0 — — — — 1,487 102.4 — — — 33.3% -2.00 — -0.1
161 Irina Selyutina KAZ 174 134 – ▲ 13 0 3 0.0% 0 — — — — 1,466 98.3 — — — 0.0% -3.33 — -0.2
162 Jill Craybas USA 175 133 – ▼ 21 0 4 0.0% 0 R128 — — R128 1,445 107.1 — — — 0.0% -2.75 — -0.1
163 Alexandra Fusai FRA 177 132 – ▼ 138 3 16 15.8% 0 — R128 R128 — 1,528 103.0 — — — 22.7% -2.34 — -0.2
164 Alice Canepa ITA 181 127 – ▲ 29 1 2 33.3% 0 — — — — 1,484 96.7 — — — 0.0% -3.00 — +0.3
165 Renata Kucerova CZE 182 126 – ▲ 268 0 2 0.0% 0 — — — — 1,478 95.2 — — — 0.0% -3.75 — -0.1
166 Renata Kolbovic CAN 184 126 – ▲ 78 1 1 50.0% 0 — — — — 1,505 110.0 — — — 50.0% +0.25 — +0.2
167 Antonella Serra Zanetti ITA 185 123 – ▼ 2 1 3 25.0% 0 — — — — 1,500 108.4 — — — 40.0% -0.90 — -0.1
168 Iroda Tulyaganova UZB 186 123 – ▲ 384 1 3 25.0% 0 — — — — 1,472 96.8 — — — 33.3% -0.89 — +0.4
169 Sandra Cacic USA 188 122 – ▼ 106 2 7 22.2% 0 R128 — — — 1,509 93.4 — — — 23.5% -2.18 — +0.4
170 Larissa Schaerer PAR 190 121 – ▼ 31 2 4 33.3% 0 — — — — 1,488 103.9 — — — 38.5% -0.62 — +0.4
171 Linda Wild USA 191 117 – ▲ 306 0 3 0.0% 0 — — R128 — 1,566 91.9 — — — 0.0% -3.00 — +0.4
172 Evgenia Kulikovskaya RUS 192 117 – ▼ 84 2 5 28.6% 0 — R128 R128 — 1,500 106.4 — — — 26.7% -1.87 — -0.3
173 Miriam Schnitzer GER 193 117 – ▼ 62 1 3 25.0% 0 — — — — 1,495 104.9 — — — 33.3% -0.89 — -0.1
174 Emmanuelle Curutchet FRA 194 116 – ▲ 69 1 1 50.0% 0 — R64 — — 1,490 97.3 — — — 40.0% -1.60 — +0.3
175 Laurence Andretto FRA 195 113 – ▼ 52 1 4 20.0% 0 — R128 — — 1,482 95.0 — — — 20.0% -2.30 — 0.0
176 Daniela Hantuchova SVK 197 112 – ▲ 72 0 1 0.0% 0 — — — — 1,494 105.1 — — — 0.0% -2.00 — -0.2
177 Karen Cross GBR 198 110 – ▼ 47 1 2 33.3% 0 — — R64 — 1,493 96.3 — — — 42.9% -1.29 — +0.3
178 Francesca Schiavone ITA 200 109 – ▲ 52 0 1 0.0% 0 — — — — 1,494 105.0 — — — 0.0% -2.50 — -0.1
179 Magdalena Grzybowska POL 202 107 – ▼ 150 2 7 22.2% 0 — — R128 R64 1,624 104.2 — — — 25.0% -1.75 — -0.4
180 Conchita Martínez Granados ESP 204 106 – ▼ 94 3 5 37.5% 0 R128 — — — 1,515 94.9 — — — 41.2% -1.29 — +0.8
181 Katarina Studenikova SVK 206 104 – ▼ 100 3 7 30.0% 0 R128 R128 R64 — 1,538 103.5 — — — 42.9% -0.90 — +0.6
182 Larisa Savchenko URS 210 103 – ▼ 137 2 8 20.0% 0 R128 R128 R32 — 1,585 92.7 — — — 28.0% -2.28 — +0.2
183 Gloria Pizzichini ITA 212 101 – ▲ 520 0 1 0.0% 0 R128 — — — 1,574 97.4 — — — 0.0% -2.50 — +0.2
184 Sung-Hee Park KOR 214 97 – ▼ 61 0 3 0.0% 0 R128 — — — 1,432 103.9 — — — 14.3% -3.14 — +0.1
185 Janette Husarova SVK 216 97 – ▼ 89 0 3 0.0% 0 — — — — 1,502 104.4 — — — 0.0% -3.50 — -0.6
186 Sophie Georges FRA 217 96 – ▼ 3 0 1 0.0% 0 — R128 — — 1,491 100.0 — — — 0.0% -4.00 — 0.0
187 Eva Martincova CZE 218 94 – ▲ 18 2 1 66.7% 0 — — — — 1,481 99.0 — — — 50.0% -0.25 — +0.4
188 Michaela Pastikova CZE 220 93 – ▼ 1 0 1 0.0% 0 — — — — 1,503 97.6 — — — 0.0% -4.00 — -0.0
189 Yoon Jeong Cho KOR 221 93 – ▼ 14 0 1 0.0% 0 — — — — 1,458 97.6 — — — 0.0% -3.50 — +0.1
190 Aleksandra Olsza POL 223 92 – ▼ 94 0 2 0.0% 0 — — — — 1,420 99.4 — — — 33.3% -1.00 — +0.1
191 Flora Perfetti ITA 225 90 – ▼ 113 1 3 25.0% 0 R128 — — — 1,490 94.9 — — — 30.0% -1.60 — +0.7
192 Haruka Inoue JPN 228 88 – ▼ 82 0 1 0.0% 0 — — — — 1,470 101.2 — — — 0.0% -4.50 — -0.2
193 Jacqueline Trail USA 229 88 – ▼ 25 0 1 0.0% 0 — — — — 1,498 97.2 — — — 0.0% -2.00 — +0.1
194 Samantha Smith GBR 230 88 – ▼ 165 1 10 9.1% 0 R64 R128 R128 — 1,483 99.5 — — — 16.7% -1.71 — +0.2
195 Catalina Castano COL 232 87 – ▲ 159 0 1 0.0% 0 — — — — 1,484 96.5 — — — 0.0% -4.00 — +0.1
196 Radka Pelikanova CZE 235 86 – ▼ 20 0 1 0.0% 0 — — — — 1,445 97.2 — — — 0.0% -4.50 — -0.1
197 Bahia Mouhtassine MAR 236 85 – ▲ 7 0 1 0.0% 0 — — — — 1,487 101.2 — — — 33.3% -0.67 — +0.0
198 Zsofia Gubacsi HUN 239 84 – ▲ 78 0 1 0.0% 0 — — — — 1,483 102.5 — — — 33.3% -1.00 — -0.1
199 Yayuk Basuki INA 241 83 – ▼ 185 0 1 0.0% 0 R128 — — — 1,707 101.6 — — — 33.3% -2.00 — +0.0
200 Jessica Steck RSA 242 82 – ▼ 19 1 2 33.3% 0 — — — — 1,497 110.1 — — — 28.6% -1.86 — -0.2
201 Petra Begerow GER 245 80 – ▲ 606 1 3 25.0% 0 — — — — 1,518 108.8 — — — 25.0% -1.38 — -0.1
202 Alicia Ortuno ESP 247 79 – ▼ 67 0 1 0.0% 0 — — — — 1,485 99.4 — — — 33.3% -2.00 — +0.1
203 Luciana Masante ARG 249 78 – ▲ 56 1 2 33.3% 0 — — — — 1,497 99.8 — — — 50.0% -0.50 — -0.1
204 Maria Paola Zavagli ITA 257 76 – ▼ 94 0 1 0.0% 0 — — — — 1,522 99.0 — — — 0.0% -1.50 — -0.0
205 Karin Miller USA 260 74 – ▼ 155 0 1 0.0% 0 R128 — — — 1,492 98.3 — — — 0.0% -4.00 — -0.0
206 Katarzyna Straczy POL 262 73 – ▼ 7 0 1 0.0% 0 — — — — 1,500 97.5 — — — 33.3% -1.67 — +0.2
207 Rossana De Los Ríos PAR 270 69 – ▲ 461 0 1 0.0% 0 — — — — 1,488 99.0 — — — 33.3% +0.33 — +0.1
208 Karolina Jagieniak FRA 276 67 – ▼ 51 1 2 33.3% 0 — — — — 1,489 102.7 — — — 33.3% -1.33 — -0.1
209 Joana Cortez BRA 279 66 – ▲ 132 1 1 50.0% 0 — — — — 1,499 98.4 — — — 50.0% -0.50 — +0.3
210 Leanne Baker NZL 280 65 – ▲ 271 1 1 50.0% 0 — — — — 1,522 109.8 — — — 50.0% -0.75 — -0.4
211 Amanda Grahame AUS 280 65 – ▼ 105 0 1 0.0% 0 — — — — 1,483 97.0 — — — 33.3% -1.33 — +0.1
212 Anna Zaporozhanova UKR 284 65 – ▲ 105 0 1 0.0% 0 — — — — 1,483 98.4 — — — 33.3% -0.33 — +0.2
213 Daja Bedanova CZE 295 59 – ▲ 435 1 1 50.0% 0 — — — — 1,522 117.6 — — — 50.0% -0.50 — -0.1
214 Melissa Middleton USA 300 58 – ▲ 7 1 2 33.3% 0 — — — R128 1,509 102.6 — — — 28.6% -2.29 — -0.2
215 Lorna Woodroffe GBR 301 58 – ▼ 89 0 1 0.0% 0 — — R128 — 1,468 95.6 — — — 0.0% -3.50 — +0.0
216 Cindy Watson AUS 302 58 – ▼ 104 0 1 0.0% 0 R128 — — — 1,499 109.8 — — — 0.0% -4.50 — -0.3
217 Vanessa Menga BRA 309 55 – ▼ 120 2 3 40.0% 0 — — — — 1,470 99.8 — — — 46.2% -0.85 — +0.5
218 Abigail Tordoff GBR 325 51 – ▼ 54 0 1 0.0% 0 — — R128 — 1,488 92.7 — — — 0.0% -5.00 — +0.1
219 Romina Ottoboni ARG 340 47 – ▼ 5 0 1 0.0% 0 — — — — 1,484 94.6 — — — 0.0% -4.50 — +0.1
220 Virginie Razzano FRA 344 46 – ▲ 42 0 1 0.0% 0 — R128 — — 1,483 97.7 — — — 0.0% -2.50 — +0.2
221 Sandra Dopfer AUT 347 45 – ▼ 175 0 1 0.0% 0 — — — — 1,430 97.6 — — — 33.3% -1.00 — +0.1
222 Celeste Contin ARG 352 44 – ▼ 40 1 1 50.0% 0 — — — — 1,501 102.6 — — — 50.0% +0.50 — +0.2
223 Benjamas Sangaram THA 354 43 – ▲ 47 0 1 0.0% 0 — — — — 1,446 102.5 — — — 33.3% -1.33 — -0.1
224 Hannah Collin GBR 355 42 – ▲ 180 0 1 0.0% 0 — — — — 1,483 97.1 — — — 0.0% -2.50 — +0.1
225 Catherine Barclay AUS 376 38 – ▼ 211 0 1 0.0% 0 R128 — — — 1,480 97.2 — — — 0.0% -3.50 — +0.2
226 Angelica Gavaldon MEX 379 37 – ▲ 66 0 1 0.0% 0 — — — — 1,515 100.4 — — — 0.0% -4.50 — -0.2
227 Zuzana Hejdova CZE 391 32 – ▼ 43 0 1 0.0% 0 — — — — 1,494 107.0 — — — 0.0% -3.00 — -0.2
228 Radka Bobkova CZE 399 31 – ▼ 311 0 1 0.0% 0 R128 — — — 1,531 96.1 — — — 0.0% -4.50 — -0.1
229 Saori Obata JPN 455 24 – ▼ 239 0 1 0.0% 0 — — — — 1,431 100.5 — — — 0.0% -3.00 — -0.0
230 Ana Catarina Nogueira POR 519 18 – ▲ 35 0 1 0.0% 0 — — — — 1,482 92.9 — — — 0.0% -5.00 — +0.2
231 Zuzana Lesenarova CZE 613 11 – ▲ 148 0 1 0.0% 0 — — — R128 1,482 97.0 — — — 0.0% -2.50 — +0.3
232 Laura Granville USA 841 4 – ▼ 465 0 1 0.0% 0 — — — R128 1,501 95.2 — — — 0.0% -4.50 — +0.0
233 Lori Mcneil USA 869 4 – ▼ 778 0 2 0.0% 0 — — — — 1,670 99.0 — — — 20.0% -0.80 — +0.2
234 Michelle Gerards NED 881 3 – ▲ 26 0 1 0.0% 0 — — — — 1,483 97.8 — — — 33.3% -1.67 — +0.1
235 Brenda Schultz-Mccarthy NED 893 4 – ▼ 705 0 1 0.0% 0 — R128 — — 1,652 98.3 — — — 33.3% -1.33 — +0.2
236 Melanie Marois CAN 917 3 – ▲ 100 0 1 0.0% 0 — — — — 1,490 99.9 — — — 0.0% -3.50 — -0.1
237 Ruxandra Dragomir Ilie ROU — — – — 30 22 57.7% 0 R32 R16 R64 R64 1,831 151.2 — — — 55.6% +0.52 103.8 -0.4
238 Alexia Dechaume Balleret FRA — — – — 11 18 37.9% 0 R64 R128 R64 R64 1,571 115.6 — — — 40.9% -0.94 98.3 -0.6
239 Elena Pampoulova BUL — — – — 9 15 37.5% 0 R64 R64 R32 R128 1,569 108.9 — — — 36.5% -1.31 101.4 +0.1
240 Mariaan De Swardt RSA — — – — 9 16 36.0% 0 R128 R32 R64 R64 1,704 131.5 — — — 42.6% -0.44 96.1 -1.6
241 Kimberly Po Messerli USA — — – — 6 13 31.6% 0 R128 R64 R128 R128 1,653 120.4 — — — 38.1% -1.00 93.6 -1.4
242 Mariam Ramon Climent ESP — — – — 4 5 44.4% 0 — — — — 1,523 105.9 — — — 45.5% +0.27 — +0.4
243 Anna Foldenyi Dicker HUN — — – — 3 5 37.5% 0 — R128 R128 — 1,487 108.8 — — — 45.5% +0.14 — +0.3
244 Elena Makarova RUS — — – — 3 3 50.0% 0 R128 — — — 1,631 108.8 — — — 50.0% +0.14 — +0.8
245 Gisela Riera Roura ESP — — – — 3 5 37.5% 0 — — — — 1,485 97.1 — — — 38.9% -0.72 — +0.7
246 Eva Bes Ostariz ESP — — – — 2 6 25.0% 0 — — — — 1,433 97.6 — — — 31.6% -1.16 — +0.5
247 Rosa Maria Andres Rodriguez ESP — — – — 2 2 50.0% 0 — — — — 1,514 107.9 — — — 60.0% +0.70 — +0.0
248 Andreea Ehritt Vanc ROU — — – — 1 3 25.0% 0 — — — — 1,483 100.1 — — — 40.0% -0.80 — -0.0
249 Keiko Nagatomi JPN — — – — 1 1 50.0% 0 — — — — 1,492 97.2 — — — 50.0% -1.00 — +0.1
250 Stephanie Foretz Gacon FRA — — – — 1 2 33.3% 0 — R128 — — 1,511 107.7 — — — 37.5% -1.38 — -0.4
251 Ainhoa Goni Blanco ESP — — – — 0 1 0.0% 0 — — — — 1,485 98.9 — — — 33.3% -0.67 — +0.1
252 Anna Bielen Zarska POL — — – — 0 1 0.0% 0 — — — — 1,484 100.5 — — — 0.0% -3.50 — -0.2
253 Anne Miller USA — — – — 0 1 0.0% 0 — — — R128 1,638 107.5 — — — 33.3% -1.33 — -0.2
254 Carolina Rodriguez COL — — – — 0 1 0.0% 0 — — — — 1,492 98.1 — — — 0.0% -4.00 — -0.2
255 Cristina Arribas ESP — — – — 0 1 0.0% 0 — — — — 1,482 97.4 — — — 0.0% -2.50 — +0.2
256 Germana Di Natale ITA — — – — 0 2 0.0% 0 — — — — 1,492 103.9 — — — 0.0% -4.25 — -0.4
257 Ivana Bracun CRO — — – — 0 1 0.0% 0 — — — — 1,483 97.6 — — — 0.0% -2.50 — +0.1
258 Joanne Ward GBR — — – — 0 2 0.0% 0 — — R128 — 1,433 98.3 — — — 20.0% -2.00 — +0.1
259 Katie Schlukebir USA — — – — 0 1 0.0% 0 — — — — 1,484 99.3 — — — 0.0% -2.00 — +0.1
260 Lilia Biktyakova UZB — — – — 0 1 0.0% 0 — — — — 1,483 97.0 — — — 0.0% -3.00 — +0.1
261 Maria Jose Gaidano ARG — — – — 0 1 0.0% 0 — — — — 1,474 99.6 — — — 0.0% -3.50 — -0.1
262 Mariana Mesa COL — — – — 0 2 0.0% 0 — — — — 1,469 96.6 — — — 0.0% -2.25 — +0.2
263 Martina Nejedly CAN — — – — 0 1 0.0% 0 — — — — 1,479 101.1 — — — 33.3% -2.00 — -0.0
264 Marwa El Wany EGY — — – — 0 1 0.0% 0 — — — — 1,485 89.5 — — — 0.0% -6.00 — +0.1
265 Misumi Miyauchi JPN — — – — 0 1 0.0% 0 — — — — 1,427 98.6 — — — 33.3% -1.00 — +0.1
266 Monique Viele USA — — – — 0 1 0.0% 0 — — — — 1,484 97.0 — — — 0.0% -4.00 — +0.3
267 Noelle Van Lottum FRA — — – — 0 1 0.0% 0 — — — — 1,416 — — — — — — — +0.1
268 Patty Van Acker BEL — — – — 0 1 0.0% 0 — — — — 1,483 96.7 — — — 0.0% -3.00 — +0.1
269 Rewa Harriman NZL — — – — 0 1 0.0% 0 — — — — 1,485 100.7 — — — 0.0% -3.50 — -0.1
270 Sophie Lefevre FRA — — – — 0 1 0.0% 0 — R128 — — 1,493 98.0 — — — 0.0% -2.50 — -0.1
271 Tracy Almeda Singian USA — — – — 0 2 0.0% 0 — — — R128 1,494 106.6 — — — 20.0% -3.00 — -0.3

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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