Rankings as of: Dec 27, 1999

ATP 1999 Season Leaders & Rankings

Rankings, leaderboards, and performance stats by season.

Andre Agassi finished 1999 at ATP No. 1 with 5,048 points.

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Rankings Leaders

Ranking points, results, and season metrics for 1999.

322 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 Andre Agassi USA 1 5,048 – ▲ 5 63 13 82.9% 5 R16 W F W 2,122 168.1 +7.03 +5.50 1.431 77.2% +1.86 103.9 -1.8
2 Yevgeny Kafelnikov RUS 2 3,465 – ▲ 9 59 29 67.0% 3 W R64 R32 SF 1,918 158.7 +1.95 +2.68 1.093 62.4% +0.68 98.7 -1.0
3 Pete Sampras USA 3 3,024 – ▼ 2 38 9 80.8% 5 — R64 W — 2,147 155.5 +7.60 +1.27 1.324 79.4% +1.41 103.1 -1.0
4 Thomas Enqvist SWE 4 2,606 – ▲ 18 45 25 64.3% 3 F R64 R32 R128 1,913 157.9 +4.04 +2.58 1.178 62.2% +0.83 98.0 -1.6
5 Gustavo Kuerten BRA 5 2,601 – ▲ 18 47 24 66.2% 2 R64 QF QF QF 1,861 155.1 +4.10 +2.03 1.159 65.9% +0.88 94.2 -0.8
6 Nicolas Kiefer GER 6 2,447 – ▲ 29 53 21 71.6% 3 R32 R128 R64 R32 1,922 157.7 +2.57 +3.33 1.144 65.4% +0.99 110.9 +0.5
7 Todd Martin USA 7 2,408 – ▲ 9 42 17 71.2% 1 QF — QF F 1,914 156.7 — — — 63.2% +0.70 99.2 -0.2
8 Nicolas Lapentti ECU 8 2,284 – ▲ 82 52 24 68.4% 2 SF R64 R64 R64 1,883 154.4 +1.96 +3.11 1.116 59.3% +0.58 114.8 -1.1
9 Marcelo Rios CHI 9 2,245 – ▼ 7 45 16 73.8% 3 — QF — R16 1,918 149.7 +1.16 +3.33 1.141 68.0% +0.95 104.6 +0.9
10 Richard Krajicek NED 10 2,095 – ▶ 0 42 20 67.7% 2 R32 R64 R32 QF 1,881 155.6 +6.78 +0.75 1.279 66.0% +1.16 89.7 +0.8
11 Tommy Haas GER 11 1,921 – ▲ 23 45 23 66.2% 1 SF R32 R32 R16 1,833 148.8 +1.86 -1.09 1.003 60.7% +0.62 104.0 +0.3
12 Tim Henman GBR 12 1,920 – ▼ 5 41 25 62.1% 0 R32 R32 SF R128 1,786 151.2 +2.50 +2.30 1.142 58.8% +0.71 95.6 +0.7
13 Cedric Pioline FRA 13 1,814 – ▲ 5 37 28 56.9% 1 R128 R128 QF SF 1,796 143.0 +1.68 -0.71 0.989 55.2% +0.07 101.1 -2.2
14 Greg Rusedski GBR 14 1,802 – ▼ 5 46 22 67.7% 2 R64 R16 R16 R16 1,970 155.1 +6.15 -1.39 1.158 63.5% +0.81 99.1 -1.0
15 Magnus Norman SWE 15 1,748 – ▲ 37 43 21 67.2% 5 R64 R128 R32 R16 1,890 143.4 +3.19 +3.30 1.209 63.9% +1.14 98.8 +0.4
16 Patrick Rafter AUS 16 1,731 – ▼ 12 31 16 66.0% 1 R32 R32 SF R128 1,961 149.8 +5.69 +2.07 1.255 65.8% +1.21 95.7 -0.6
17 Karol Kucera SVK 17 1,633 – ▼ 9 38 20 65.5% 1 QF R128 R16 — 1,852 152.3 +1.99 +5.08 1.196 64.6% +1.00 98.2 -0.2
18 Albert Costa ESP 18 1,572 – ▼ 4 40 22 64.5% 3 R128 R32 R128 R128 1,810 148.6 — — — 60.4% +0.68 107.1 -1.5
19 Mark Philippoussis AUS 19 1,570 – ▼ 4 30 15 66.7% 2 R16 R128 QF — 1,890 149.4 +4.70 -0.77 1.068 61.6% +0.54 100.4 -1.5
20 Vincent Spadea USA 20 1,542 – ▲ 22 33 27 55.0% 0 QF R32 R128 R16 1,763 147.3 +0.64 +3.01 1.078 52.6% +0.40 96.0 -2.1
21 Dominik Hrbaty SVK 21 1,499 – ▲ 25 37 27 57.8% 1 R128 SF R128 R128 1,700 144.9 +1.84 +1.64 1.086 54.6% +0.55 99.7 -0.5
22 Felix Mantilla ESP 22 1,458 – ▼ 2 33 21 61.1% 1 R128 R16 R64 R128 1,723 145.5 +1.55 +2.82 1.124 58.8% +0.46 106.3 +0.2
23 Carlos Moya ESP 23 1,445 – ▼ 18 35 22 61.4% 0 R128 R16 R64 R64 1,761 141.1 -1.24 +1.76 0.996 59.5% +0.37 95.6 +1.4
24 Marat Safin RUS 24 1,437 – ▲ 25 36 29 55.4% 1 R32 R16 — R64 1,775 145.9 +2.04 -0.45 1.018 52.7% +0.07 111.4 -0.6
25 Lleyton Hewitt AUS 25 1,429 – ▲ 75 40 18 69.0% 1 R64 R128 R32 R32 1,854 154.0 +2.80 +4.93 1.226 64.6% +1.10 104.4 -2.4
26 Alex Corretja ESP 26 1,319 – ▼ 23 33 22 60.0% 0 R64 QF — R128 1,771 145.8 +1.50 +0.88 1.054 55.6% +0.48 97.4 +1.1
27 Sebastien Grosjean FRA 27 1,298 – ▲ 61 35 25 58.3% 0 R128 R32 R32 R128 1,742 146.8 +0.15 +1.39 1.024 54.1% +0.22 108.9 -1.2
28 Mariano Zabaleta ARG 28 1,258 – ▲ 35 28 29 49.1% 0 R64 R128 — R128 1,686 139.7 -0.12 -0.36 0.955 48.9% -0.15 102.1 -2.1
29 Fernando Meligeni BRA 29 1,247 – ▲ 28 27 26 50.9% 0 R128 SF — R64 1,685 146.4 0.00 +2.19 1.027 54.5% +0.55 95.1 -1.9
30 Andrei Medvedev UKR 30 1,184 – ▲ 32 22 23 48.9% 0 R64 F R64 R16 1,722 140.7 -1.33 +2.29 1.019 54.5% +0.07 98.7 -0.4
31 Karim Alami MAR 31 1,175 – ▲ 41 26 22 54.2% 0 R128 R128 R64 R128 1,735 143.2 +0.18 +0.65 1.002 52.0% +0.21 99.8 -2.0
32 Jim Courier USA 32 1,071 – ▲ 45 29 20 59.2% 0 R32 R64 R16 R128 1,795 135.6 +4.87 -0.80 1.155 56.8% +0.45 110.4 +0.6
33 Younes El Aynaoui MAR 33 1,068 – ▲ 12 27 23 54.0% 1 R64 R64 R64 R64 1,720 149.4 — — — 56.9% +0.53 97.9 -2.1
34 Fabrice Santoro FRA 34 1,055 – ▲ 7 36 25 59.0% 1 R16 R128 R64 R32 1,765 144.6 -1.34 +1.00 0.973 56.4% +0.23 106.5 +1.4
35 Jerome Golmard FRA 35 1,024 – ▲ 12 21 12 63.6% 1 R64 — — — 1,842 150.8 +3.05 +0.79 1.059 64.2% +0.94 108.3 -1.8
36 Hicham Arazi MAR 36 1,008 – ▶ 0 27 27 50.0% 0 R128 R32 R128 R32 1,702 141.7 — — — 47.4% -0.41 107.1 -3.3
37 Nicolas Escude FRA 37 995 – ▶ 0 19 15 55.9% 1 — R64 — QF 1,821 146.6 +1.88 +1.67 1.082 55.3% +0.26 103.6 -1.1
38 Francisco Clavet ESP 38 986 – ▼ 8 30 27 52.6% 0 R128 R64 R32 R128 1,700 145.3 +0.45 +2.02 1.047 51.3% +0.07 97.7 -2.2
39 Thomas Johansson SWE 39 977 – ▼ 22 21 23 47.7% 1 R128 — R64 — 1,736 138.9 — — — 50.9% -0.01 99.5 +1.3
40 Jiri Novak CZE 40 973 – ▲ 35 28 26 51.9% 0 R32 R64 R64 R16 1,768 144.0 +0.38 +2.95 1.078 49.3% +0.21 100.1 -1.9
41 Andrei Pavel ROU 41 962 – ▲ 27 28 24 53.9% 0 R16 R128 R128 R128 1,701 137.5 +0.71 +0.50 1.011 52.0% +0.12 101.1 -0.8
42 Juan Carlos Ferrero ESP 42 956 – ▲ 306 16 8 66.7% 1 — — — R128 1,686 142.0 — — — 60.0% +0.63 111.1 +0.1
43 Daniel Vacek CZE 43 953 – ▲ 7 29 31 48.3% 0 R64 R128 R32 R64 1,740 133.9 -1.09 -1.27 0.909 46.2% -0.17 104.5 +0.9
44 Sjeng Schalken NED 44 950 – ▲ 22 28 26 51.9% 1 R64 R32 R32 R128 1,744 148.3 -0.52 +2.39 1.015 51.7% +0.08 98.1 -2.4
45 Marc Rosset SUI 45 947 – ▼ 14 26 27 49.1% 1 QF R128 R64 R128 1,658 138.7 +2.15 -0.73 1.026 49.6% +0.20 94.0 +1.8
46 Stefan Koubek AUT 46 947 – ▲ 47 29 25 53.7% 1 R128 R16 R128 R128 1,681 136.8 -0.61 +1.04 1.009 51.6% +0.05 100.7 -0.2
47 Rainer Schuettler GER 48 881 – ▲ 76 23 28 45.1% 1 R128 R128 R64 R128 1,610 139.3 -2.17 +1.38 0.961 43.0% -0.29 104.1 -0.9
48 Fernando Vicente ESP 49 875 – ▲ 5 25 29 46.3% 1 R128 R64 R64 R64 1,636 138.5 -1.44 +2.23 1.037 45.6% -0.18 98.8 +0.7
49 Michael Chang USA 50 874 – ▼ 21 27 22 55.1% 0 R64 R128 — R64 1,790 141.4 +0.54 +2.18 1.090 54.0% +0.38 93.2 +0.9
50 Chris Woodruff USA 51 852 – ▲ 1273 22 19 53.7% 1 — R32 R64 R32 1,773 139.1 +1.52 +0.86 1.046 52.4% +0.37 97.6 -0.2
51 Franco Squillari ARG 52 849 – ▲ 8 18 24 42.9% 1 R64 R128 R128 R128 1,579 130.4 -2.09 +0.89 0.951 43.4% -0.28 100.4 -0.5
52 Wayne Ferreira RSA 53 846 – ▼ 27 27 25 51.9% 0 R16 R64 R128 R128 1,705 139.5 +1.33 -1.08 0.989 50.7% -0.06 98.8 +0.2
53 Andrew Ilie AUS 54 845 – ▲ 5 28 29 49.1% 0 R16 R32 R64 R128 1,638 126.6 -1.25 -1.32 0.922 48.0% -0.28 103.8 +2.4
54 Jeff Tarango USA 55 814 – ▲ 18 21 24 46.7% 0 R32 R128 R64 R128 1,685 132.2 -2.40 -0.03 0.934 46.4% -0.07 103.4 +1.2
55 Arnaud Clement FRA 56 805 – ▲ 48 22 25 46.8% 0 R64 R64 R64 R16 1,690 140.1 — — — 46.7% -0.25 94.1 -1.5
56 Alberto Martin ESP 57 805 – ▲ 48 27 21 56.2% 2 R128 R128 R32 R128 1,712 133.5 -2.31 +1.21 0.966 52.6% +0.09 106.0 +0.8
57 Jan-Michael Gambill USA 58 803 – ▼ 20 25 25 50.0% 1 R128 R128 R64 R64 1,762 145.0 — — — 51.2% +0.26 102.4 -2.5
58 Sargis Sargsian ARM 59 796 – ▲ 39 21 23 47.7% 0 R64 R32 R128 R128 1,636 132.5 +0.09 +1.23 1.029 49.1% -0.06 95.6 -0.7
59 Magnus Gustafsson SWE 60 779 – ▼ 28 22 18 55.0% 1 — R128 R128 R128 1,800 139.9 +1.18 -0.49 1.035 51.0% +0.04 97.1 -0.8
60 Alberto Berasategui ESP 61 775 – ▼ 40 20 20 50.0% 0 R128 R16 — — 1,739 131.6 -2.95 +2.41 0.964 50.5% -0.01 102.7 -1.6
61 Goran Ivanisevic CRO 62 772 – ▼ 50 22 26 45.8% 0 — R128 R16 R32 1,713 132.1 +2.12 -4.73 0.894 46.9% -0.26 97.9 +0.7
62 Slava Dosedel CZE 63 763 – ▲ 1 15 12 55.6% 0 R64 — R128 QF 1,740 128.9 +0.19 +2.72 1.065 59.5% +0.30 95.5 +1.1
63 Roger Federer SUI 64 749 – ▲ 238 12 14 46.1% 0 — R128 R128 — 1,663 137.6 +0.59 -0.29 0.962 46.2% -0.37 101.7 -0.9
64 Byron Black ZIM 65 745 – ▼ 37 24 23 51.1% 1 R64 R32 R128 R128 1,690 138.9 -0.27 +0.43 1.001 48.7% 0.00 99.2 +1.0
65 David Prinosil GER 66 745 – ▲ 12 22 23 48.9% 0 R128 R128 R64 R64 1,671 136.8 +0.80 -0.84 0.982 47.7% +0.08 102.8 +0.2
66 Christian Ruud NOR 67 718 – ▲ 19 22 17 56.4% 0 R32 R32 R128 R64 1,649 127.8 -3.52 +1.22 0.948 55.4% +0.19 107.6 +1.5
67 Hernan Gumy ARG 68 701 – ▲ 41 14 16 46.7% 0 R128 R64 R128 R128 1,637 126.6 -2.00 +0.22 0.951 42.0% -0.45 102.3 -0.5
68 Juan Antonio Marin CRC 70 661 – ▶ 0 19 21 47.5% 1 R128 R128 R128 R128 1,636 123.4 — — — 41.9% -0.46 107.2 +1.4
69 Guillermo Canas ARG 71 657 – ▲ 24 15 23 39.5% 0 R128 R64 R64 R64 1,575 128.1 +0.38 +2.60 1.070 42.7% -0.46 101.0 -1.2
70 Gaston Gaudio ARG 72 640 – ▲ 66 8 15 34.8% 0 — R32 R128 R128 1,531 120.2 -3.16 +1.21 0.925 33.3% -0.93 96.9 -0.1
71 Jonas Bjorkman SWE 73 639 – ▼ 49 22 23 48.9% 0 R128 R128 R64 R32 1,746 143.3 -0.90 +2.45 1.021 49.6% +0.15 92.5 -0.3
72 Max Mirnyi BLR 74 637 – ▲ 202 14 13 51.9% 0 — R64 — R64 1,613 131.4 +1.63 -2.29 0.954 50.7% -0.25 110.9 -0.3
73 Galo Blanco ESP 75 635 – ▲ 7 14 19 42.4% 1 R128 R128 R64 R64 1,622 132.6 -0.14 -2.04 0.917 44.7% -0.30 99.6 -0.1
74 Markus Hipfl AUT 76 607 – ▲ 61 15 15 50.0% 0 R128 R128 R128 R64 1,591 128.5 -0.84 +2.00 1.075 52.6% +0.26 94.1 +1.1
75 Ivan Ljubicic CRO 77 581 – ▲ 216 11 12 47.8% 0 — — — R64 1,587 131.8 +0.10 -0.99 0.942 48.3% 0.00 102.1 +0.5
76 Richard Fromberg AUS 78 572 – ▼ 38 15 16 48.4% 0 — R64 R64 R32 1,666 126.4 +1.31 -2.30 0.922 49.4% -0.32 109.1 -0.3
77 Mikael Tillstrom SWE 79 564 – ▲ 6 15 18 45.5% 0 R32 — R128 R128 1,685 128.2 -2.99 +0.64 0.869 44.3% -0.57 105.4 -0.1
78 Jason Stoltenberg AUS 80 562 – ▼ 53 18 18 50.0% 0 R64 R64 R128 R128 1,698 131.9 +0.78 +1.33 1.056 51.1% +0.10 92.1 -1.4
79 George Bastl SUI 81 561 – ▲ 114 6 7 46.1% 0 — — — R64 1,558 129.2 -0.33 +1.04 0.969 50.0% -0.03 — +0.9
80 Justin Gimelstob USA 82 550 – ▼ 2 17 26 39.5% 0 R64 R128 R128 R32 1,645 137.7 -0.21 -1.19 0.949 45.0% -0.28 91.8 -1.2
81 Antony Dupuis FRA 83 548 – ▲ 61 9 10 47.4% 0 — R128 — — 1,583 123.8 +0.84 -1.08 1.019 46.7% -0.40 102.6 +0.5
82 Andrea Gaudenzi ITA 84 546 – ▼ 40 13 14 48.1% 0 — R32 — R128 1,646 124.2 -2.64 +0.64 0.944 45.6% -0.29 101.5 +0.6
83 Kenneth Carlsen DEN 85 540 – ▼ 2 19 19 50.0% 0 R128 R128 — R64 1,658 136.2 +1.26 +0.13 1.048 51.6% +0.05 103.0 +1.3
84 Daniel Nestor CAN 86 539 – ▲ 20 18 16 52.9% 0 R32 R128 R16 R128 1,672 138.5 +2.44 -2.00 1.004 52.7% +0.25 99.5 -0.1
85 Laurence Tieleman ITA 87 539 – ▲ 20 14 21 40.0% 0 R128 R128 R128 R32 1,605 122.2 +1.18 -3.84 0.930 45.3% -0.59 99.6 +1.0
86 Jan Siemerink NED 88 531 – ▼ 69 17 25 40.5% 0 R128 R128 R128 R128 1,653 132.5 +1.25 -2.98 0.884 42.6% -0.49 96.5 +0.2
87 Paul Goldstein USA 89 531 – ▲ 101 12 15 44.4% 0 R32 — R32 R64 1,615 134.5 -2.78 +2.98 0.993 49.4% +0.03 99.2 +0.1
88 Albert Portas ESP 90 528 – ▼ 6 14 18 43.8% 0 R128 R64 R128 R128 1,598 127.3 -1.18 +0.60 0.992 44.3% -0.43 97.3 +0.1
89 Jens Knippschild GER 91 525 – ▲ 10 15 15 50.0% 0 R64 R64 R32 R128 1,666 135.0 +1.64 +0.37 1.080 53.9% +0.12 106.9 -0.2
90 Jacobo Diaz ESP 92 520 – ▲ 54 2 7 22.2% 0 — — — R128 1,503 111.7 — — — 34.8% -0.96 93.5 +0.7
91 Cecil Mamiit PHI 93 502 – ▲ 37 16 18 47.1% 0 R64 R128 R128 R64 1,552 118.6 -2.72 +1.29 0.942 46.0% -0.43 105.5 +1.3
92 Gianluca Pozzi ITA 94 502 – ▼ 33 16 26 38.1% 0 R32 R128 R64 R64 1,602 130.9 — — — 41.8% -0.45 97.0 -0.0
93 Magnus Larsson SWE 95 498 – ▼ 52 16 18 47.1% 0 — R64 R128 R32 1,750 138.3 — — — 54.3% +0.41 93.7 -0.7
94 Ronald Agenor HAI 96 492 – ▲ 144 3 7 30.0% 0 — — — — 1,521 118.4 -1.43 -2.23 0.813 31.8% -0.82 — -0.1
95 Andreas Vinciguerra SWE 98 486 – ▲ 535 9 6 60.0% 0 — — — — 1,603 125.0 +1.29 +2.07 1.170 56.3% +0.34 101.0 +0.8
96 Paradorn Srichaphan THA 99 485 – ▲ 307 10 7 58.8% 0 — — R64 — 1,638 127.0 +1.50 +0.35 1.078 57.5% +0.15 104.4 +0.8
97 Adrian Voinea ROU 100 478 – ▼ 29 14 21 40.0% 1 R128 R128 R128 — 1,650 125.5 -1.16 -0.03 0.943 43.6% -0.42 97.4 -0.6
98 Mariano Puerta ARG 101 464 – ▼ 62 14 26 35.0% 0 R64 R64 — R64 1,616 129.5 -1.55 -1.75 0.882 44.0% -0.45 90.3 -0.8
99 Sebastien Lareau CAN 102 463 – ▼ 23 12 18 40.0% 0 R128 — R64 R64 1,616 128.1 +0.03 -1.37 0.950 41.3% -0.45 100.5 +1.1
100 Wayne Arthurs AUS 105 449 – ▲ 83 12 11 52.2% 0 R128 — R16 R64 1,651 125.2 +6.73 -4.44 1.062 53.1% 0.00 103.0 +0.6
101 Marcelo Filippini URU 106 442 – ▲ 29 6 12 33.3% 0 — QF R128 R128 1,587 116.2 -1.89 -0.86 0.852 40.0% -0.91 — -1.1
102 Bohdan Ulihrach CZE 107 440 – ▼ 74 12 22 35.3% 0 R16 R16 R128 R128 1,650 135.6 -1.17 -0.40 0.936 40.6% -0.57 96.5 -0.7
103 Peter Wessels NED 108 432 – ▲ 4 12 15 44.4% 0 R128 — R128 R32 1,591 118.8 +2.37 -3.00 0.971 45.3% -0.21 102.7 +1.8
104 German Puentes ESP 109 419 – ▲ 130 6 7 46.1% 0 — R128 — R128 1,523 124.8 -2.36 +2.59 0.997 45.7% -0.11 101.8 -0.0
105 Martin Rodriguez ARG 110 409 – ▼ 14 8 20 28.6% 0 — R64 R128 R128 1,465 114.5 -2.67 -3.26 0.777 29.0% -1.25 100.6 -0.2
106 Tomas Zib CZE 111 408 – ▲ 62 4 4 50.0% 0 — — — R128 1,531 114.4 -0.88 +1.34 1.036 50.0% -0.25 99.1 +0.1
107 Julian Alonso ESP 112 403 – ▼ 9 9 11 45.0% 0 R64 R128 R128 — 1,591 119.4 — — — 43.1% -0.71 101.9 +0.7
108 Axel Pretzsch GER 113 402 – ▲ 135 5 9 35.7% 0 — R128 — R64 1,546 122.6 -1.10 +0.40 0.905 37.1% -0.83 101.7 +0.1
109 Orlin Stanoytchev BUL 114 402 – ▲ 7 5 9 35.7% 0 — — R128 — 1,440 118.6 -2.44 +0.47 0.964 38.9% -0.61 103.2 +0.6
110 Lorenzo Manta SUI 115 399 – ▲ 84 6 6 50.0% 0 — — R16 R64 1,559 123.3 — — — 47.4% -0.24 105.1 +0.1
111 Bernd Karbacher GER 117 396 – ▲ 8 13 17 43.3% 0 R128 R64 R128 R128 1,567 131.4 -1.03 -0.83 0.932 44.2% -0.26 99.2 +0.1
112 Nicklas Kulti SWE 118 395 – ▲ 172 10 9 52.6% 0 — — — R128 1,633 114.5 +0.18 -1.35 0.918 51.1% -0.21 101.0 +0.0
113 Tomas Behrend GER 119 389 – ▲ 78 1 1 50.0% 0 — — — — 1,522 112.3 +1.90 +0.07 1.426 60.0% +1.20 — +0.0
114 Davide Sanguinetti ITA 120 388 – ▼ 72 8 23 25.8% 0 R64 R32 R128 — 1,560 123.1 -3.03 -1.02 0.856 36.1% -0.95 91.9 -0.6
115 Christophe Rochus BEL 121 385 – ▲ 85 1 2 33.3% 0 — R128 — — 1,502 104.4 -2.18 +1.00 1.100 37.5% -1.00 — -0.2
116 Andre Sa BRA 122 377 – ▲ 5 1 4 20.0% 0 — — R64 — 1,484 102.7 -2.39 +1.66 0.838 35.7% -1.57 — +0.4
117 Michal Tabara CZE 123 374 – ▲ 81 3 1 75.0% 0 — — — — 1,542 110.7 -1.19 +2.68 1.154 66.7% +1.11 — +0.5
118 Juan Ignacio Chela ARG 124 372 – ▲ 84 0 3 0.0% 0 — — — — 1,463 96.2 — — — 14.3% -2.28 — +0.2
119 Alexander Popp GER 125 371 – ▲ 264 1 1 50.0% 0 — — — — 1,503 102.2 -0.78 +0.41 1.432 50.0% -0.50 — +0.4
120 Fredrik Jonsson SWE 126 370 – ▲ 88 3 7 30.0% 0 R128 — — R32 1,526 120.4 +1.05 -4.46 0.722 35.7% -0.71 — -0.3
121 Stephane Huet FRA 127 369 – ▲ 92 3 8 27.3% 0 R64 R64 — R128 1,539 126.9 -2.04 +0.03 0.945 41.7% -0.39 96.3 -0.3
122 Markus Hantschk GER 128 367 – ▲ 72 2 4 33.3% 0 — R64 — — 1,489 105.6 -1.57 -1.98 0.879 41.2% -0.71 — +0.4
123 Hendrik Dreekmann GER 129 362 – ▼ 42 11 15 42.3% 0 R64 R128 R128 R128 1,637 129.2 -2.27 -0.71 0.885 43.3% -0.48 104.8 -1.2
124 Mark Woodforde AUS 130 362 – ▼ 72 10 19 34.5% 0 R64 R128 R64 R64 1,609 125.8 -1.05 -0.14 0.914 39.5% -0.32 93.5 -0.9
125 Boris Becker GER 131 357 – ▼ 62 10 7 58.8% 0 — — R16 — 1,884 133.0 +0.67 +0.35 0.991 59.5% +0.26 101.4 -0.7
126 Oleg Ogorodov UZB 132 351 – ▲ 64 0 2 0.0% 0 — — — — 1,414 102.2 -1.55 +0.35 0.823 20.0% -2.00 — +0.2
127 Julien Boutter FRA 133 342 – ▲ 104 1 5 16.7% 0 — R128 — R128 1,476 106.8 -1.78 -1.82 0.725 30.8% -1.46 — +0.1
128 Lars Burgsmuller GER 134 341 – ▶ 0 7 8 46.7% 0 R128 — — R64 1,593 121.2 -1.41 +1.27 1.043 45.5% +0.23 99.4 +0.6
129 Gaston Etlis ARG 136 337 – ▲ 18 0 3 0.0% 0 — — — — 1,511 100.8 — — — 14.3% -2.28 — +0.3
130 Guillaume Raoux FRA 137 336 – ▼ 84 10 19 34.5% 0 R64 R128 R128 R128 1,578 127.4 +0.36 -4.10 0.838 38.9% -0.83 93.4 +0.0
131 Jean-Rene Lisnard MON 138 336 – ▲ 333 1 2 33.3% 0 — R128 — — 1,498 107.1 — — — 44.4% -0.67 — +0.0
132 Agustin Calleri ARG 140 334 – ▲ 10 3 3 50.0% 0 — R64 — — 1,538 122.4 +0.86 +0.69 1.308 50.0% +0.72 — +0.2
133 Emilio Benfele Alvarez ESP 141 333 – ▲ 50 0 1 0.0% 0 — — — — 1,575 97.3 — — — 0.0% -2.50 — +0.2
134 Leander Paes IND 142 326 – ▼ 51 3 9 25.0% 0 R128 — R128 — 1,562 108.9 -1.02 -2.19 0.884 25.0% -1.18 — +0.8
135 Thierry Guardiola FRA 143 325 – ▲ 149 0 1 0.0% 0 — — — — 1,463 102.0 -0.23 +2.26 0.599 0.0% -4.50 — -0.1
136 James Sekulov AUS 144 325 – ▲ 154 3 1 75.0% 0 — — — — 1,513 123.1 -0.76 +4.69 0.899 54.5% 0.00 — -0.1
137 Xavier Malisse BEL 145 316 – ▲ 17 8 9 47.1% 0 — R128 R128 R32 1,630 123.5 -1.33 +0.40 1.013 45.7% -0.48 104.8 -0.1
138 Gouichi Motomura JPN 147 312 – ▲ 78 2 3 40.0% 0 — — — — 1,454 106.1 -1.20 -0.45 0.913 41.7% -0.50 — +0.6
139 Ramon Delgado PAR 149 309 – ▼ 93 11 21 34.4% 0 R128 R128 R128 R128 1,560 121.5 -3.27 -2.37 0.824 35.9% -1.18 107.2 +1.0
140 Wayne Black ZIM 151 304 – ▼ 57 9 15 37.5% 0 R16 R128 R128 R128 1,564 128.4 -2.62 +0.76 0.947 40.9% -0.45 101.2 +0.4
141 Mose Navarra ITA 152 301 – ▲ 49 1 6 14.3% 0 — R64 — — 1,515 108.3 — — — 26.3% -1.58 — -0.2
142 Michael Kohlmann GER 153 299 – ▼ 43 5 13 27.8% 0 R128 — R128 R64 1,543 118.5 -2.54 -2.45 0.801 31.3% -1.00 96.8 -0.9
143 Scott Draper AUS 154 297 – ▼ 103 11 17 39.3% 0 R128 R128 R128 R128 1,625 132.1 -0.25 -1.66 0.885 37.7% -0.64 99.5 -1.3
144 Oliver Gross GER 156 296 – ▼ 59 6 14 30.0% 0 R128 R128 R128 — 1,508 119.8 -4.05 +0.36 0.861 34.1% -0.76 — +0.7
145 Andrei Stoliarov RUS 157 295 – ▲ 98 1 1 50.0% 0 — — — — 1,540 102.6 +0.55 +0.11 0.917 50.0% -0.50 — +0.1
146 Marcos Ondruska RSA 159 283 – ▼ 17 0 2 0.0% 0 R128 — — — 1,520 102.7 -1.06 +2.09 0.716 0.0% -2.80 — -0.1
147 Jamie Delgado GBR 161 275 – ▲ 237 1 2 33.3% 0 — — R64 — 1,489 99.5 — — — 37.5% -0.87 — +0.2
148 Raemon Sluiter NED 162 274 – ▲ 81 0 2 0.0% 0 — — — — 1,474 103.8 -1.44 +0.65 0.983 33.3% -1.34 — -0.3
149 Ota Fukarek CZE 163 273 – ▲ 109 0 1 0.0% 0 — — — — 1,481 97.9 -2.77 +1.99 0.990 33.3% -0.67 — +0.3
150 Tuomas Ketola FIN 164 272 – ▲ 70 1 6 14.3% 0 — — — — 1,411 111.6 -4.67 -0.46 0.730 25.0% -2.12 — -0.1
151 Eduardo Nicolas ESP 165 271 – ▲ 173 3 3 50.0% 0 — — — — 1,514 110.0 -1.20 +0.05 0.881 50.0% +0.33 — +0.2
152 Michael Sell USA 166 270 – ▲ 112 2 3 40.0% 0 — — — — 1,477 110.6 -2.34 +0.50 0.826 38.5% -1.08 — -0.2
153 Cyril Saulnier FRA 167 269 – ▲ 278 1 3 25.0% 0 — — — R128 1,493 110.8 -1.72 -0.88 0.832 33.3% -1.67 — -0.0
154 Sebastian Prieto ARG 168 268 – ▼ 7 0 2 0.0% 0 — — — — 1,496 97.5 -2.95 -1.18 0.637 0.0% -3.50 — -0.1
155 Radek Stepanek CZE 169 268 – ▼ 3 2 4 33.3% 0 — — — — 1,501 117.9 +0.16 -0.75 0.920 35.7% -0.64 — -0.2
156 Petr Korda CZE 170 251 – ▼ 157 6 12 33.3% 0 R32 R64 — — 1,675 130.5 -1.58 -1.70 0.869 40.8% -0.31 91.0 -0.7
157 Jimy Szymanski VEN 170 265 – ▲ 142 0 1 0.0% 0 — — — — 1,470 102.2 — — — 0.0% -2.50 — -0.2
158 Dinu Pescariu ROU 171 263 – ▼ 63 3 10 23.1% 0 R128 R128 R128 — 1,440 113.8 -2.64 -0.50 0.857 27.3% -1.39 100.0 +0.1
159 Alex Calatrava ESP 172 260 – ▼ 58 2 10 16.7% 0 — R128 — — 1,425 107.7 -1.15 -3.07 0.807 28.6% -1.50 96.6 +0.2
160 Vincenzo Santopadre ITA 173 260 – ▼ 54 7 14 33.3% 0 — — R128 — 1,518 114.4 -1.59 -1.71 0.862 36.0% -0.80 98.8 +1.3
161 Vladimir Voltchkov BLR 174 254 – ▼ 11 0 5 0.0% 0 R128 R128 R128 — 1,459 100.2 -1.99 -2.18 0.685 13.3% -2.47 — +0.5
162 Bob Bryan USA 175 245 – ▲ 72 2 5 28.6% 0 — — — R128 1,506 124.5 — — — 31.3% -0.06 — -0.2
163 Olivier Malcor FRA 176 242 – ▲ 68 0 1 0.0% 0 — — — — 1,491 100.3 +2.10 +1.51 0.450 0.0% -4.50 — -0.1
164 Roberto Carretero ESP 177 240 – ▲ 184 1 2 33.3% 0 — — — — 1,510 108.4 +0.15 +0.35 1.152 33.3% -0.50 — +0.1
165 Paul Haarhuis NED 178 240 – ▼ 104 6 15 28.6% 0 R64 R128 R32 R64 1,620 127.7 -0.68 -0.73 0.928 42.4% -0.44 89.4 -1.0
166 David Miketa CZE 179 239 – ▲ 252 0 2 0.0% 0 — — — — 1,447 99.7 -0.88 -0.79 0.922 33.3% -1.17 — +0.2
167 Luis Horna PER 180 236 – ▲ 120 0 1 0.0% 0 — — — — 1,482 100.5 — — — 0.0% -2.50 — +0.1
168 Petr Luxa CZE 181 236 – ▲ 42 1 5 16.7% 0 R128 R128 — — 1,412 106.6 -1.92 +1.45 0.885 14.3% -2.07 — +0.2
169 Werner Eschauer AUT 182 230 – ▲ 410 0 1 0.0% 0 — — — — 1,478 103.9 +2.08 -1.43 0.724 0.0% -2.00 — -0.0
170 Harel Levy ISR 183 230 – ▲ 44 1 1 50.0% 0 — — — — 1,555 115.8 +2.47 +1.12 1.035 50.0% +0.50 — -0.5
171 Ville Liukko FIN 184 230 – ▼ 2 2 5 28.6% 0 — — — R128 1,486 107.0 -2.73 -0.36 0.876 20.0% -1.47 — +0.4
172 Igor Gaudi ITA 185 230 – ▲ 92 0 1 0.0% 0 — — — — 1,480 102.7 +0.94 -1.49 0.924 33.3% -0.67 — +0.0
173 Vadim Kutsenko RUS 186 228 – ▲ 174 0 1 0.0% 0 — — — — 1,486 101.5 -2.07 -1.72 0.808 33.3% -1.67 — 0.0
174 Noam Okun ISR 187 227 – ▲ 121 0 1 0.0% 0 — — — — 1,492 103.1 +1.05 -1.21 0.841 33.3% -1.33 — -0.1
175 Kevin Ullyett ZIM 188 225 – ▲ 199 6 4 60.0% 0 — — — — 1,586 124.6 +0.84 -0.21 1.071 56.5% +0.22 104.9 +0.4
176 Thomas Muster AUT 189 224 – ▼ 164 5 11 31.2% 0 R128 R128 — — 1,675 130.2 -0.85 -2.23 0.815 35.0% -0.85 98.4 -1.4
177 Lionel Roux FRA 190 223 – ▲ 67 2 4 33.3% 0 R64 R128 — — 1,556 108.6 +0.65 +1.25 1.047 38.5% -1.00 — +0.2
178 Hyung-Taik Lee KOR 191 222 – ▲ 71 1 2 33.3% 0 — — — — 1,497 110.3 — — — 37.5% 0.00 — +0.2
179 Edwin Kempes NED 192 221 – ▼ 39 1 2 33.3% 0 R128 — — — 1,502 108.8 -2.25 -0.16 0.534 37.5% -1.38 — +0.1
180 Stefano Pescosolido ITA 193 220 – ▼ 9 2 2 50.0% 0 — — — — 1,583 105.5 +0.95 -0.76 0.972 55.6% 0.00 — +0.3
181 Herbert Wiltschnig AUT 194 219 – ▲ 187 1 1 50.0% 0 — — — — 1,458 101.5 -0.11 -1.97 0.952 50.0% -0.25 — +0.2
182 Kevin Kim USA 195 219 – ▲ 164 0 2 0.0% 0 — — — R128 1,468 96.1 — — — 0.0% -3.20 — -0.0
183 David Sanchez ESP 196 218 – ▲ 146 0 1 0.0% 0 — — — — 1,459 100.5 +1.82 -0.89 0.731 0.0% -2.50 — +0.1
184 Todd Woodbridge AUS 197 216 – ▼ 132 8 16 33.3% 0 R128 R128 R64 — 1,602 123.7 -0.75 -0.98 0.870 35.5% -0.95 100.5 +0.6
185 Hector Moretti ARG 199 216 – ▲ 47 0 1 0.0% 0 — R128 — — 1,495 100.8 -0.48 +4.20 0.739 25.0% -2.50 — -0.2
186 Martin Spottl AUT 201 210 – ▲ 322 2 1 66.7% 0 — — — — 1,526 108.9 +3.12 -2.35 1.140 62.5% +0.87 — +0.2
187 Richey Reneberg USA 202 208 – ▼ 47 6 9 40.0% 0 — — R128 R64 1,625 124.0 -0.07 +0.69 1.005 44.7% -0.40 95.8 -0.8
188 Brett Steven NZL 206 197 – ▼ 114 4 6 40.0% 0 R128 — — — 1,637 116.4 -1.73 -0.98 0.878 40.9% -0.27 — +0.3
189 Mariano Hood ARG 207 197 – ▲ 112 1 1 50.0% 0 — — — — 1,500 105.2 -1.10 +0.06 1.180 50.0% +0.25 — +0.1
190 Rodolphe Gilbert FRA 208 195 – ▼ 22 1 4 20.0% 0 — R128 — — 1,536 112.9 +0.58 -1.19 0.953 25.0% -1.42 — -0.2
191 Neville Godwin RSA 210 191 – ▼ 59 1 2 33.3% 0 — — — — 1,568 102.9 -2.65 +1.66 0.900 42.9% -0.71 — +0.3
192 Solon Peppas GRE 212 190 – ▲ 250 1 1 50.0% 0 — — — — 1,505 107.8 +0.34 -0.19 0.765 40.0% -0.60 — -0.1
193 Cristiano Caratti ITA 213 190 – ▼ 53 1 3 25.0% 0 — — R128 R64 1,527 105.1 -4.22 +1.72 0.749 37.5% -0.88 — -0.0
194 Rodolphe Cadart FRA 214 189 – ▲ 69 1 1 50.0% 0 — — — — 1,508 103.9 -2.21 +0.22 1.032 40.0% -0.20 — +0.1
195 Juan Balcells ESP 216 188 – ▲ 15 1 2 33.3% 0 — — — — 1,539 116.1 +1.35 -0.49 1.030 37.5% -0.38 — -0.3
196 Andrei Cherkasov RUS 217 188 – ▼ 52 3 6 33.3% 0 R64 — — — 1,482 121.3 -2.45 +1.83 1.021 48.1% +0.37 — +0.3
197 James Blake USA 219 186 – ▲ 463 1 4 20.0% 0 — — — R128 1,479 105.6 -2.20 -0.63 0.718 16.7% -2.42 — -0.1
198 Diego Nargiso ITA 220 186 – ▼ 92 1 5 16.7% 0 — — — — 1,523 107.2 -1.01 -2.74 0.678 23.1% -1.54 — 0.0
199 Ivo Heuberger SUI 221 185 – ▼ 78 1 2 33.3% 0 — — — R128 1,501 100.0 -0.07 -1.10 0.846 28.6% -0.71 — +0.5
200 Mark Knowles BAH 223 183 – ▲ 52 0 3 0.0% 0 — — — — 1,451 98.8 -0.82 -1.79 0.754 14.3% -2.14 — +0.3
201 Renzo Furlan ITA 225 181 – ▼ 80 3 5 37.5% 0 — — — — 1,542 115.4 -3.93 -1.08 0.680 33.3% -1.83 — -0.5
202 Marzio Martelli ITA 226 181 – ▼ 100 0 2 0.0% 0 — — — — 1,526 97.0 -0.55 -2.77 0.732 0.0% -3.00 — +0.3
203 Frederic Niemeyer CAN 229 179 – ▲ 194 0 1 0.0% 0 — — — — 1,467 105.9 +2.66 -0.81 0.786 0.0% -1.50 — -0.1
204 Christian Vinck GER 230 179 – ▼ 99 2 4 33.3% 0 — — R128 — 1,450 112.2 -1.15 -0.46 0.967 37.5% -0.31 — -0.1
205 Gerard Solves FRA 233 177 – ▼ 4 0 2 0.0% 0 — — — — 1,551 95.6 -0.22 -1.11 0.789 33.3% -1.33 — +0.3
206 Alexander Shvec BLR 234 176 – ▲ 156 0 1 0.0% 0 — — — — 1,477 97.2 +0.30 -3.72 0.636 0.0% -3.50 — +0.2
207 Jerome Hanquez FRA 235 176 – ▲ 226 0 1 0.0% 0 — — — — 1,454 103.4 -2.92 +1.84 0.827 0.0% -2.50 — -0.0
208 Michael Hill AUS 238 173 – ▲ 4 1 3 25.0% 0 — — — — 1,495 99.9 -1.52 -1.03 0.761 36.4% -0.73 100.0 -0.1
209 Tommy Robredo ESP 244 167 – ▲ 267 2 2 50.0% 0 — — — — 1,534 111.3 -1.11 +0.08 1.149 44.4% -0.44 — -0.3
210 Barry Cowan GBR 247 167 – ▲ 50 0 3 0.0% 0 — — R128 — 1,424 95.7 -1.84 -0.92 0.693 0.0% -2.71 — -0.0
211 Oscar Serrano ESP 248 167 – ▼ 109 0 3 0.0% 0 R128 — — — 1,464 99.5 -2.65 -1.49 0.721 22.2% -2.00 — -0.1
212 Gabriel Trifu ROU 249 166 – ▲ 15 2 1 66.7% 0 — — — — 1,507 110.7 +0.78 +2.89 1.097 66.7% +0.83 — -0.1
213 Arvind Parmar GBR 250 165 – ▲ 176 1 2 33.3% 0 — — R64 — 1,523 101.6 -4.10 +2.68 0.367 33.3% -1.22 — -0.2
214 Jan Frode Andersen NOR 251 165 – ▼ 104 0 1 0.0% 0 — — — — 1,494 104.2 -1.57 +4.54 0.745 0.0% -2.50 — -0.1
215 Marcio Carlsson BRA 255 163 – ▼ 132 1 3 25.0% 0 R128 — — — 1,518 100.5 -2.37 -1.30 0.715 30.0% -2.40 — +0.1
216 Karsten Braasch GER 261 155 – ▲ 12 1 2 33.3% 0 — — — — 1,590 99.2 -2.35 -1.56 0.631 28.6% -1.29 — +0.1
217 Takao Suzuki JPN 262 154 – ▼ 147 1 9 10.0% 0 R128 — R128 R128 1,462 115.1 — — — 30.0% -1.20 91.0 -0.1
218 Rogier Wassen NED 264 151 – ▼ 108 0 4 0.0% 0 — — — — 1,473 93.0 -4.04 -0.81 0.581 0.0% -3.63 — 0.0
219 Marco Meneschincheri ITA 265 150 – ▼ 98 1 2 33.3% 0 — — — — 1,442 105.5 -1.27 -2.02 0.728 28.6% -2.14 — +0.0
220 Diego Moyano ARG 270 148 – ▲ 17 0 1 0.0% 0 — R128 — — 1,489 100.5 -1.04 +1.51 0.802 25.0% -2.00 — -0.1
221 Eyal Ran ISR 272 144 – ▼ 52 0 1 0.0% 0 — — — — 1,448 95.7 -3.35 +1.13 0.611 0.0% -3.00 — +0.2
222 Martin Lee GBR 273 143 – ▲ 63 1 2 33.3% 0 — — R128 — 1,454 104.0 — — — 40.0% -0.60 — -0.1
223 Taylor Dent USA 276 141 – ▲ 136 0 2 0.0% 0 — — — R128 1,464 96.9 -3.78 -2.62 0.368 0.0% -3.20 — +0.2
224 Javier Sanchez ESP 281 136 – ▼ 112 1 3 25.0% 0 R128 — — — 1,491 110.7 +0.11 -0.81 0.941 30.0% -1.00 — +0.1
225 Satoshi Iwabuchi JPN 283 136 – ▲ 42 0 1 0.0% 0 — — — — 1,463 96.0 +0.39 -2.16 0.829 0.0% -3.00 — +0.2
226 Mikhail Youzhny RUS 286 134 – ▲ 810 0 1 0.0% 0 — — — — 1,493 101.7 -2.13 -1.94 0.742 0.0% -3.50 — -0.1
227 Florian Allgauer ITA 290 133 – ▲ 25 0 1 0.0% 0 — — — — 1,486 100.4 -2.62 -1.19 0.599 0.0% -2.50 — +0.1
228 Francisco Cabello ARG 295 131 – ▼ 83 1 2 33.3% 0 — — — — 1,493 103.6 +0.80 -2.30 0.791 33.3% -0.33 — +0.3
229 Artem Derepasko RUS 299 128 – ▲ 308 0 1 0.0% 0 — — — — 1,490 96.6 -0.39 -1.30 0.454 0.0% -3.50 — +0.0
230 Jonathan Stark USA 300 128 – ▼ 31 3 4 42.9% 0 — — — — 1,587 117.9 +0.64 -0.69 1.011 44.4% +0.44 99.0 -0.1
231 Irakli Labadze GEO 302 127 – ▲ 201 0 2 0.0% 0 — — — — 1,477 104.2 -0.50 -3.29 0.908 33.3% -1.00 — +0.0
232 MaliVai Washington USA 303 127 – ▼ 124 1 4 20.0% 0 — — — R128 1,633 105.8 +0.31 +0.19 1.134 28.6% -1.00 — +0.3
233 Mahesh Bhupathi IND 304 126 – ▲ 49 0 1 0.0% 0 — — — — 1,444 98.9 -3.30 -0.53 0.540 0.0% -3.00 — +0.1
234 Ben Ellwood AUS 306 125 – ▼ 17 0 1 0.0% 0 — — — — 1,453 100.2 — — — 0.0% -3.00 — +0.1
235 Razvan Sabau ROU 307 125 – ▼ 113 0 1 0.0% 0 — R128 — — 1,455 94.5 -0.45 -1.96 0.490 0.0% -5.33 — +0.1
236 Gregory Carraz FRA 308 123 – ▼ 73 0 1 0.0% 0 — — — — 1,484 100.9 -0.74 -1.20 0.551 0.0% -4.00 — -0.1
237 Nenad Zimonjic SRB 311 122 – ▼ 119 2 3 40.0% 0 — — R32 — 1,526 95.8 -1.55 -4.30 0.600 40.0% -1.60 — +0.2
238 Igor Kunitsyn RUS 315 118 – ▲ 119 0 2 0.0% 0 — — — — 1,489 107.1 -0.95 -1.96 0.518 20.0% -2.40 — -0.2
239 Davide Scala ITA 316 118 – ▼ 35 0 2 0.0% 0 — — — — 1,502 95.0 -0.91 -4.47 0.355 0.0% -3.75 — +0.3
240 Brian Macphie USA 319 118 – ▼ 178 0 3 0.0% 0 — — — — 1,572 100.0 +0.71 -2.22 0.731 0.0% -2.67 — +0.1
241 Bjorn Phau GER 323 117 – ▲ 117 3 2 60.0% 0 — — — — 1,541 117.3 -2.26 +2.33 0.900 54.5% +0.09 — -0.1
242 Marc Kevin Goellner GER 324 116 – ▼ 206 3 4 42.9% 0 — — — — 1,586 111.6 -0.07 -0.33 1.066 50.0% +0.33 95.5 +0.5
243 Luke Milligan GBR 325 116 – ▲ 53 1 2 33.3% 0 — — R128 — 1,525 99.1 -0.51 -2.60 0.740 25.0% -1.00 — -0.3
244 Filip Dewulf BEL 326 115 – ▼ 271 1 3 25.0% 0 — — — — 1,706 107.4 +0.40 -0.59 0.824 33.3% -1.55 — -0.5
245 Cedric Kauffmann FRA 333 111 – ▲ 175 0 1 0.0% 0 — — — — 1,491 99.8 -6.00 +5.36 0.479 0.0% -2.50 — -0.0
246 Eduardo Medica ARG 338 108 – ▼ 221 1 3 25.0% 0 — — — — 1,488 102.3 -2.17 +0.08 0.902 40.0% -0.90 — +0.6
247 Oren Motevassel USA 346 105 – ▼ 116 0 1 0.0% 0 — — — — 1,434 101.8 -3.41 -0.32 0.804 0.0% -1.00 — -0.1
248 Nuno Marques POR 349 104 – ▼ 121 1 2 33.3% 0 — — R128 — 1,470 103.1 -0.25 -1.72 0.920 25.0% -1.25 — -0.1
249 Salvador Navarro ESP 350 104 – ▼ 169 1 1 50.0% 0 — — — — 1,490 97.2 +0.15 -1.76 0.351 40.0% -2.00 — +0.1
250 Michael Tebbutt AUS 351 103 – ▼ 229 2 3 40.0% 0 R128 — — — 1,586 115.1 -1.44 -0.68 0.908 40.0% -0.53 101.7 -0.1
251 Radovan Svetlik CZE 355 101 – ▼ 99 0 1 0.0% 0 — — — — 1,494 99.2 +0.14 +1.69 0.680 0.0% -4.00 — -0.1
252 Andy Zingman ARG 359 99 – ▼ 141 0 1 0.0% 0 — — — — 1,488 100.3 -2.26 -0.70 0.770 33.3% -1.00 — +0.1
253 Joseph Sirianni AUS 360 98 – ▼ 40 0 1 0.0% 0 R128 — — — 1,489 100.4 -1.05 -0.71 0.917 40.0% -0.80 — -0.1
254 Dmitri Tomashevich UZB 361 98 – ▼ 4 0 1 0.0% 0 — — — — 1,471 101.7 -2.71 +1.70 0.632 0.0% -4.00 — +0.1
255 Geoff Grant USA 363 97 – ▼ 252 1 6 14.3% 0 R128 — — — 1,526 110.3 — — — 23.5% -1.71 — -0.4
256 Ivan Beros CRO 364 96 – ▲ 138 0 1 0.0% 0 — — — — 1,483 98.5 -1.21 -1.67 0.853 33.3% -1.00 — +0.2
257 Sandon Stolle AUS 375 90 – ▼ 134 3 4 42.9% 0 R64 — R64 — 1,618 118.5 -0.31 -1.92 0.903 52.2% 0.00 — +0.3
258 Sergi Bruguera ESP 376 90 – ▼ 244 0 1 0.0% 0 — — — — 1,597 98.0 +0.03 -2.40 0.758 0.0% -3.50 — -0.0
259 Wolfgang Schranz AUT 379 89 – ▼ 222 2 1 66.7% 0 — — — — 1,509 112.4 +0.82 -0.82 0.982 57.1% +0.43 — -0.0
260 Lucas Arnold Ker ARG 380 89 – ▼ 267 1 5 16.7% 0 R128 — — — 1,510 99.8 -2.02 -0.29 0.870 29.4% -0.94 — +0.8
261 Lovro Zovko CRO 387 86 – ▲ 275 0 2 0.0% 0 — — — — 1,484 107.4 +0.42 +1.30 0.800 20.0% -1.40 — -0.1
262 Chris Wilkinson GBR 388 86 – ▼ 203 1 3 25.0% 0 — — R128 — 1,549 95.7 — — — 27.3% -0.82 — -0.3
263 Steven Randjelovic AUS 398 82 – ▼ 72 0 1 0.0% 0 — — — — 1,472 95.2 +1.27 -2.66 0.624 0.0% -4.00 — +0.2
264 Eric Taino PHI 401 80 – ▲ 284 1 2 33.3% 0 — — — — 1,516 118.7 +1.56 +0.61 0.788 33.3% -1.00 — -0.3
265 Jim Thomas USA 408 77 – ▲ 21 0 1 0.0% 0 — — — — 1,491 97.5 — — — 0.0% -4.50 — +0.0
266 Thomas Schiessling AUT 410 77 – ▼ 150 0 2 0.0% 0 — — — — 1,500 104.8 +0.74 -3.01 0.864 0.0% -3.00 — -0.2
267 David Caldwell USA 411 77 – ▼ 228 0 2 0.0% 0 R128 — — — 1,475 98.1 -2.26 -2.12 0.648 0.0% -3.40 — +0.1
268 Fernando Gonzalez CHI 412 76 – ▲ 168 1 1 50.0% 0 — — — — 1,510 105.6 -1.67 -0.17 0.781 40.0% -0.60 — +0.1
269 Thomas Larsen DEN 417 76 – ▼ 241 0 1 0.0% 0 — — — — 1,496 101.0 — — — 0.0% -4.50 — -0.1
270 Oliver Marach AUT 418 75 – ▲ 415 0 1 0.0% 0 — — — — 1,493 103.1 +1.38 -1.96 0.683 0.0% -3.00 — -0.1
271 Igor Kornienko RUS 431 72 – ▲ 825 2 3 40.0% 0 — — — — 1,506 102.3 -0.96 -1.53 0.841 30.0% -1.40 — +0.4
272 Jared Palmer USA 435 71 – ▼ 260 1 1 50.0% 0 — — — — 1,611 106.7 — — — 40.0% -0.80 — -0.3
273 Jan Boruszewski GER 436 71 – ▲ 333 0 1 0.0% 0 — — — — 1,487 97.5 -4.22 +0.60 0.586 0.0% -2.50 — +0.2
274 Dennis van Scheppingen NED 439 70 – ▼ 319 1 4 20.0% 0 — — — — 1,534 109.9 — — — 38.5% -0.23 — +0.2
275 Nicklas Timfjord SWE 442 69 – ▲ 113 0 1 0.0% 0 — — — — 1,483 100.5 -3.31 -0.90 0.572 0.0% -3.00 — +0.1
276 Mark Draper AUS 444 69 – ▼ 285 0 2 0.0% 0 R128 — — — 1,504 98.3 -2.42 -4.64 0.557 0.0% -3.00 — +0.0
277 Mounir El Aarej MAR 449 67 – ▲ 64 0 1 0.0% 0 — — — — 1,461 101.2 — — — 0.0% -1.50 — +0.1
278 Borut Urh SLO 454 65 – ▼ 155 1 1 50.0% 0 — — — — 1,514 94.1 -2.50 -0.75 0.637 40.0% -2.20 — +0.3
279 Kristian Pless DEN 458 63 – ▲ 421 1 2 33.3% 0 — — — — 1,511 115.3 +0.37 -0.73 1.081 33.3% -0.50 — -0.2
280 Simon Larose CAN 460 63 – ▲ 273 0 1 0.0% 0 — — — — 1,492 103.4 — — — 0.0% -3.50 — +0.0
281 Danny Sapsford GBR 467 60 – ▲ 92 2 1 66.7% 0 — — R32 — 1,557 114.5 -1.57 +2.79 0.810 60.0% +0.90 — +0.2
282 Carlos Costa ESP 472 59 – ▼ 405 1 10 9.1% 0 R128 R128 — — 1,475 106.0 -1.58 -0.67 0.931 21.4% -1.32 — +0.1
283 Miles Maclagan GBR 474 59 – ▼ 190 0 2 0.0% 0 — — R128 — 1,485 107.7 — — — 28.6% -2.00 — -0.2
284 Grant Stafford RSA 475 58 – ▼ 311 0 3 0.0% 0 — — R128 — 1,535 103.1 +1.15 -0.33 0.817 0.0% -2.86 — -0.4
285 Thomas Blake USA 486 56 – ▲ 75 0 1 0.0% 0 — — — — 1,481 94.8 -1.89 -0.49 0.630 0.0% -4.00 — +0.3
286 Jurgen Melzer AUT 491 53 – ▲ 482 1 1 50.0% 0 — — — — 1,518 108.7 -0.28 +0.62 0.727 40.0% -1.60 — -0.0
287 Tom Spinks GBR 497 52 – ▲ 127 0 1 0.0% 0 — — R128 — 1,471 98.3 — — — 25.0% -1.25 — +0.3
288 Peter Tramacchi AUS 498 51 – ▼ 265 1 1 50.0% 0 — — — — 1,474 97.8 -2.72 +2.16 0.891 50.0% -0.25 — -0.1
289 Justin Bower RSA 504 50 – ▼ 302 0 1 0.0% 0 R128 — — — 1,487 103.6 +1.81 -1.86 0.805 25.0% -1.50 — -0.0
290 Johan Ortegren SWE 505 50 – ▲ 57 0 1 0.0% 0 — — — — 1,489 99.5 +1.34 -4.91 0.527 0.0% -3.50 — 0.0
291 Charles Auffray FRA 511 49 – ▼ 266 0 2 0.0% 0 — — — — 1,449 100.1 -2.51 -2.34 0.843 0.0% -2.50 — +0.1
292 Bobby Kokavec CAN 518 48 – ▼ 58 0 1 0.0% 0 — — — — 1,492 102.7 -4.62 +0.60 0.795 0.0% -3.00 — +0.1
293 Donald Johnson USA 523 46 – ▲ 21 1 2 33.3% 0 — — — — 1,514 105.2 — — — 33.3% -1.00 — -0.0
294 Johan Landsberg SWE 534 45 – ▲ 89 0 2 0.0% 0 — — — — 1,475 95.2 -2.18 -2.08 0.715 20.0% -3.00 — +0.2
295 Markus Menzler GER 541 43 – ▼ 116 0 1 0.0% 0 — — — — 1,493 98.1 +0.47 -1.81 0.589 0.0% -4.50 — -0.1
296 Frederik Fetterlein DEN 548 41 – ▲ 119 1 1 50.0% 0 — — — — 1,545 105.8 -0.51 -0.47 0.829 50.0% +0.25 — +0.1
297 David Wheaton USA 565 38 – ▼ 333 0 2 0.0% 0 — — — — 1,584 95.4 -2.29 -2.68 0.587 0.0% -3.50 — +0.3
298 Scott Humphries USA 576 36 – ▼ 236 0 1 0.0% 0 — — — — 1,393 100.2 -1.48 +0.27 0.797 0.0% -2.00 — -0.0
299 Arnaud Boetsch FRA 580 35 – ▼ 273 1 2 33.3% 0 — R64 — — 1,575 112.3 -0.10 +0.59 1.040 37.5% +0.12 — +0.2
300 Steve Campbell USA 586 34 – ▼ 484 0 6 0.0% 0 R128 — — — 1,448 102.5 — — — 18.8% -2.06 — -0.0
301 Robert Lindstedt SWE 596 32 – ▲ 728 0 1 0.0% 0 — — — — 1,486 95.1 -2.17 -1.08 0.521 0.0% -5.00 — +0.2
302 Ben Qiang Zhu CHN 643 26 – ▲ 154 0 1 0.0% 0 — — — — 1,489 100.8 — — — 0.0% -3.00 — +0.1
303 Toby Mitchell AUS 660 24 – ▼ 410 0 1 0.0% 0 R128 — — — 1,481 102.3 -0.72 -0.79 0.647 0.0% -3.00 — -0.1
304 David Nainkin RSA 713 19 – ▼ 577 0 1 0.0% 0 — — — — 1,601 104.4 +1.29 -0.16 0.875 0.0% -1.50 — -0.1
305 David Dilucia USA 760 16 – ▼ 480 0 1 0.0% 0 — — — — 1,483 102.3 -1.54 -1.33 0.800 0.0% -2.50 — +0.0
306 Jan Apell SWE 766 15 – ▼ 513 0 1 0.0% 0 — — — — 1,588 104.2 +0.12 -0.77 0.736 33.3% -0.67 — -0.0
307 Francisco Roig ESP 798 13 – ▼ 463 0 1 0.0% 0 — — — — 1,563 103.9 -1.07 -1.82 0.727 0.0% -3.00 — -0.1
308 Tomas Carbonell ESP 826 12 – ▼ 658 0 2 0.0% 0 — — — — 1,580 98.3 +1.26 -0.69 0.676 20.0% -1.80 — +0.2
309 David Rikl CZE 868 10 – ▼ 6 0 1 0.0% 0 — — — — 1,564 98.3 -0.24 +1.75 1.063 33.3% 0.00 — +0.0
310 Andrei Chesnokov RUS 872 10 – ▼ 378 0 1 0.0% 0 — — — — 1,552 97.0 -0.85 +0.87 0.553 0.0% -4.00 — +0.1
311 Jocelyn Robichaud CAN 892 10 – ▼ 372 0 1 0.0% 0 — — — — 1,478 95.3 — — — 0.0% -6.00 — +0.0
312 Jeff Morrison USA 950 8 – ▼ 228 0 2 0.0% 0 — — — R128 1,477 100.3 — — — 0.0% -3.00 — -0.1
313 Pedro Leao POR 1,231 2 – ▲ 68 0 1 0.0% 0 — — — — 1,487 96.3 -0.20 -3.09 0.426 0.0% -5.00 — +0.1
314 Philip Gubenco CAN 1,231 2 – ▲ 79 0 1 0.0% 0 — — — — 1,487 97.4 -3.34 -3.49 0.667 0.0% -4.50 — +0.2
315 Yu Jr. Wang CHN 1,231 2 – ▲ 66 0 1 0.0% 0 — — — — 1,492 97.0 — — — 0.0% -5.50 — -0.0
316 Sergei Petrouchevsky RUS 1,298 1 – ▲ 10 0 1 0.0% 0 — — — — 1,495 101.6 -3.57 +0.77 0.371 0.0% -5.00 — -0.1
317 Talal Ouahabi MAR 1,298 1 – ▼ 395 0 1 0.0% 0 — — — — 1,488 101.2 -2.79 -1.09 0.900 0.0% -1.00 — +0.1
318 Wing Luen Wong HKG 1,298 1 – ▼ 42 0 1 0.0% 0 — — — — 1,472 95.9 -0.67 -5.79 0.492 0.0% -4.50 — +0.1
319 Arnaud Di Pasquale FRA — — – — 24 26 48.0% 1 R128 R16 R128 R128 1,687 137.0 — — — 47.2% +0.08 101.3 -0.6
320 Jan Kroslak SVK — — – — 13 26 33.3% 0 R32 R128 R128 R32 1,601 119.9 — — — 37.4% -1.08 104.3 +0.9
321 Alejandro Hernandez MEX — — – — 0 2 0.0% 0 — — R128 — 1,479 96.4 — — — 16.7% -2.83 — +0.1
322 Phillip King USA — — – — 0 2 0.0% 0 — — — R128 1,492 112.0 -3.15 +5.32 0.469 0.0% -4.40 — -0.4

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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