Rankings as of: Dec 25, 2006

WTA 2006 Performance Stats, Serve & Return Leaders

Serve, return, and point-level leaders for the 2006 WTA season.

Justine Henin leads the 2006 WTA performance sample in total points won at 57.9% (minimum 10 matches with detailed stats).

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Performance Stats

Serve and return metrics for the 2006 season.

90 players with 10+ stat matches.

Detailed serve and return statistics available for 1,333/2,491 (53.5%) of WTA main draw matches in 2006.

# Player Country Sample Aces/M DFs/M 1st Sv% 1st Sv Pts% 2nd Sv Pts% BP Saved% BP Conv% Svc Pts% Ret Pts% Total Pts%
1 Justine Henin BEL 56 2.5 4.0 56.8% 71.5% 52.9% 51.3% 54.5% 63.4% 53.1% 57.9%
2 Maria Sharapova RUS 65 4.2 3.5 65.7% 70.2% 49.3% 58.9% 54.6% 63.1% 49.0% 55.9%
3 Nadia Petrova RUS 50 5.1 2.7 61.5% 71.4% 51.1% 58.4% 48.2% 63.7% 47.6% 55.6%
4 Serena Williams USA 15 6.3 2.9 59.3% 74.2% 47.4% 54.7% 58.2% 63.1% 46.9% 54.9%
5 Kim Clijsters BEL 32 2.0 3.3 64.2% 67.8% 47.9% 60.1% 49.3% 60.7% 49.1% 54.5%
6 Lindsay Davenport USA 19 3.9 3.5 57.9% 67.9% 53.5% 56.9% 47.3% 61.8% 47.5% 54.4%
7 Martina Hingis SUI 54 1.5 2.3 63.9% 63.4% 52.8% 56.5% 51.8% 59.3% 49.6% 54.3%
8 Amélie Mauresmo FRA 55 2.6 2.9 64.8% 68.0% 49.1% 60.4% 53.9% 61.2% 47.1% 54.1%
9 Venus Williams USA 16 3.1 4.3 62.7% 68.3% 47.0% 52.8% 45.6% 60.6% 48.5% 54.0%
10 Ana Ivanovic SRB 37 3.8 3.2 55.5% 69.0% 49.2% 60.6% 50.1% 60.3% 47.0% 53.4%
11 Francesca Schiavone ITA 42 2.9 4.0 53.0% 70.3% 49.7% 55.6% 46.2% 60.4% 46.4% 53.2%
12 Svetlana Kuznetsova RUS 66 3.6 2.4 60.9% 66.8% 51.5% 58.6% 49.7% 60.7% 45.8% 53.2%
13 Katarina Srebotnik SLO 40 2.6 1.9 65.7% 67.5% 47.7% 56.2% 51.5% 60.8% 45.8% 53.1%
14 Patty Schnyder SUI 50 3.8 2.2 63.4% 65.7% 51.4% 61.6% 49.7% 60.3% 45.6% 53.0%
15 Nicole Vaidisova CZE 41 5.4 3.5 62.1% 68.7% 48.3% 55.4% 42.2% 60.8% 44.3% 52.3%
16 Dinara Safina RUS 49 2.5 4.1 66.3% 63.7% 44.7% 53.3% 49.1% 57.3% 47.2% 52.3%
17 Mary Pierce FRA 16 3.5 1.4 67.3% 69.2% 47.5% 52.5% 42.1% 62.2% 42.2% 52.0%
18 Flavia Pennetta ITA 26 2.8 4.0 59.6% 62.9% 44.7% 53.3% 52.6% 55.4% 48.6% 51.9%
19 Elena Dementieva RUS 46 0.8 8.4 60.8% 61.8% 41.0% 50.6% 49.1% 53.7% 49.9% 51.8%
20 Tatiana Golovin FRA 28 2.6 2.8 66.1% 63.3% 47.6% 56.4% 51.0% 57.8% 45.6% 51.7%
21 Na Li CHN 36 1.9 2.3 71.1% 61.5% 49.3% 51.6% 50.5% 57.6% 45.2% 51.4%
22 Jelena Jankovic SRB 46 2.7 4.6 67.7% 62.7% 43.4% 50.1% 49.7% 56.6% 46.1% 51.3%
23 Eleni Daniilidou GRE 19 0.8 5.1 69.1% 60.0% 46.4% 42.5% 48.0% 56.0% 46.7% 51.1%
24 Sofia Arvidsson SWE 22 3.0 2.4 66.2% 63.7% 45.2% 47.2% 46.4% 57.1% 45.4% 51.0%
25 Vera Zvonareva RUS 38 2.6 2.7 59.3% 64.2% 45.7% 47.3% 49.2% 56.8% 45.0% 50.9%
26 Shahar Peer ISR 30 1.1 3.6 64.3% 60.8% 44.2% 51.0% 52.2% 54.9% 47.0% 50.8%
27 Agnieszka Radwanska POL 10 1.8 1.6 65.4% 59.8% 46.5% 60.6% 47.1% 55.1% 46.0% 50.8%
28 Anna Chakvetadze RUS 39 2.9 3.7 59.4% 64.2% 46.6% 54.3% 46.9% 57.0% 44.8% 50.8%
29 Marion Bartoli FRA 38 1.4 2.5 68.5% 60.5% 45.0% 53.5% 47.4% 55.7% 45.6% 50.7%
30 Daniela Hantuchova SVK 42 3.4 2.7 63.8% 66.1% 44.7% 56.1% 46.8% 58.5% 42.5% 50.7%
31 Anastasia Myskina RUS 33 1.5 3.4 62.0% 59.3% 45.9% 56.3% 52.9% 54.2% 46.9% 50.6%
32 Elena Likhovtseva RUS 27 1.9 3.1 65.2% 59.3% 47.6% 51.3% 48.8% 55.2% 46.4% 50.6%
33 Maria Kirilenko RUS 34 2.3 4.6 60.9% 63.7% 45.3% 51.9% 41.2% 56.5% 44.6% 50.5%
34 Jie Zheng CHN 24 0.5 2.0 72.3% 57.7% 47.0% 48.1% 46.4% 54.3% 46.5% 50.5%
35 Shenay Perry USA 22 3.9 4.4 56.4% 65.6% 47.3% 52.5% 42.1% 57.7% 43.0% 50.3%
36 Laura Granville USA 20 1.7 2.6 63.3% 64.3% 46.6% 60.2% 45.3% 58.0% 42.2% 50.3%
37 Anna-Lena Groenefeld GER 40 3.2 5.1 58.9% 65.4% 45.4% 57.8% 44.8% 57.3% 42.9% 50.2%
38 Alona Bondarenko UKR 25 1.2 3.0 67.9% 59.5% 45.9% 56.6% 47.4% 55.3% 44.9% 50.2%
39 Emilie Loit FRA 15 2.3 2.4 63.3% 58.3% 46.8% 55.7% 48.5% 54.0% 45.5% 50.1%
40 Jamea Jackson USA 20 0.7 3.1 66.5% 58.3% 48.9% 47.6% 44.4% 55.1% 45.1% 50.0%
41 Sania Mirza IND 21 1.9 3.9 56.7% 61.1% 41.3% 46.9% 48.2% 52.8% 47.4% 49.9%
42 Emma Laine FIN 18 1.1 2.9 60.4% 63.3% 43.0% 52.2% 48.3% 56.3% 44.5% 49.8%
43 Ai Sugiyama JPN 37 1.3 3.7 67.8% 60.4% 43.2% 56.7% 47.8% 54.8% 44.7% 49.8%
44 Karolina Sprem CRO 17 3.3 5.5 52.7% 63.5% 46.6% 60.8% 57.7% 55.2% 43.4% 49.8%
45 Tsvetana Pironkova BUL 15 1.1 2.3 61.1% 60.2% 48.4% 46.9% 54.3% 55.8% 43.4% 49.4%
46 Jill Craybas USA 24 1.1 3.0 63.8% 58.5% 43.9% 52.8% 54.0% 53.3% 45.2% 49.4%
47 Laura Pous-Tio ESP 12 1.1 3.2 65.7% 58.4% 48.6% 56.2% 41.7% 55.0% 43.2% 49.2%
48 Anabel Medina Garrigues ESP 24 0.8 1.8 61.8% 56.1% 49.6% 49.2% 58.3% 53.5% 44.6% 49.1%
49 Maria Elena Camerin ITA 19 0.8 3.7 62.8% 58.0% 45.5% 50.8% 51.1% 53.2% 44.0% 49.0%
50 Nathalie Dechy FRA 31 1.6 2.8 72.6% 60.3% 44.3% 54.0% 44.4% 55.9% 42.0% 49.0%
51 Meghann Shaughnessy USA 21 4.4 5.3 55.4% 68.5% 45.4% 54.3% 38.1% 57.9% 39.9% 48.9%
52 Elena Vesnina RUS 26 1.7 5.1 61.8% 59.6% 48.5% 51.3% 46.9% 55.1% 42.8% 48.9%
53 Mara Santangelo ITA 33 3.1 3.8 65.0% 65.0% 46.5% 56.3% 46.9% 58.7% 39.0% 48.9%
54 Bethanie Mattek-Sands USA 13 3.3 2.6 58.5% 64.2% 43.2% 51.7% 42.0% 55.3% 42.2% 48.6%
55 Lucie Safarova CZE 22 4.4 4.3 59.5% 63.3% 47.8% 57.9% 34.3% 57.0% 39.7% 48.5%
56 Martina Sucha SVK 14 1.2 2.5 63.2% 57.3% 44.1% 57.2% 57.6% 52.3% 44.0% 48.4%
57 Virginie Razzano FRA 20 1.0 4.6 66.9% 59.4% 45.1% 57.2% 45.7% 54.6% 40.7% 48.2%
58 Marta Domachowska POL 20 3.4 4.2 59.2% 64.2% 41.5% 47.8% 41.0% 54.7% 41.7% 48.1%
59 Samantha Stosur AUS 36 4.1 2.3 61.8% 64.6% 47.1% 51.1% 39.0% 58.2% 38.5% 48.0%
60 Aiko Nakamura JPN 14 1.1 3.3 61.3% 60.8% 45.2% 44.1% 46.6% 54.5% 41.9% 47.9%
61 Gisela Dulko ARG 26 1.5 4.9 59.7% 59.1% 42.3% 49.9% 52.7% 52.2% 42.9% 47.8%
62 Amy Frazier USA 15 1.3 6.9 55.9% 60.7% 44.1% 51.4% 50.8% 53.1% 41.9% 47.7%
63 Virginia Ruano Pascual ESP 16 0.6 1.5 71.4% 54.8% 47.0% 44.4% 44.7% 52.4% 43.4% 47.7%
64 Meilen Tu USA 12 0.6 4.2 64.7% 58.3% 44.3% 43.8% 43.2% 53.3% 41.8% 47.6%
65 Ekaterina Bychkova RUS 16 3.9 2.8 50.8% 62.4% 43.3% 55.4% 42.8% 53.3% 41.1% 47.5%
66 Tathiana Garbin ITA 13 2.4 1.8 59.3% 57.9% 42.6% 47.5% 50.7% 51.9% 42.5% 47.4%
67 Julia Schruff GER 19 0.9 1.4 63.1% 58.9% 40.7% 50.4% 44.7% 52.3% 42.4% 47.4%
68 Catalina Castano COL 20 2.1 2.7 61.3% 58.8% 42.7% 49.0% 49.5% 52.2% 42.3% 47.4%
69 Akiko Morigami JPN 13 1.2 1.8 63.3% 53.5% 45.5% 47.4% 35.4% 51.8% 43.5% 47.3%
70 Lisa Raymond USA 21 3.0 3.9 60.0% 64.2% 46.0% 46.7% 44.4% 56.8% 37.8% 47.3%
71 Severine Beltrame FRA 11 3.5 1.8 53.8% 63.9% 45.8% 41.3% 45.2% 55.3% 38.5% 47.1%
72 Roberta Vinci ITA 13 2.2 3.1 60.3% 61.8% 40.9% 56.5% 39.7% 53.1% 40.8% 47.1%
73 Mashona Washington USA 10 2.5 4.5 64.9% 60.7% 46.9% 46.0% 36.0% 55.6% 38.9% 47.1%
74 Ashley Harkleroad USA 15 1.3 3.1 66.1% 60.3% 42.4% 48.5% 43.6% 54.0% 40.0% 47.1%
75 Zi Yan HKG 10 1.8 3.3 64.1% 56.8% 43.0% 56.3% 48.9% 52.2% 41.1% 47.0%
76 Sybille Bammer AUT 22 0.8 2.6 66.6% 57.9% 46.9% 47.3% 52.4% 53.5% 39.8% 47.0%
77 Maret Ani EST 11 2.1 6.7 58.4% 62.4% 34.1% 47.6% 44.8% 50.8% 43.3% 46.9%
78 Shuai Peng CHN 19 2.0 2.5 64.1% 56.9% 41.5% 48.6% 49.0% 51.0% 42.0% 46.7%
79 Anna Smashnova ISR 12 0.1 4.9 69.0% 53.7% 41.6% 44.8% 46.0% 50.7% 43.4% 46.7%
80 Mariana Diaz-Oliva ARG 13 1.1 3.8 66.1% 55.4% 37.1% 55.1% 46.9% 49.0% 44.1% 46.5%
81 Shinobu Asagoe JPN 13 0.9 4.2 61.9% 57.1% 37.4% 48.7% 55.5% 49.9% 42.1% 46.4%
82 Michaella Krajicek NED 17 3.8 4.1 60.9% 62.1% 45.9% 59.5% 48.6% 55.8% 35.8% 46.4%
83 Martina Müller GER 12 0.3 2.3 69.4% 53.6% 42.2% 48.4% 46.2% 50.0% 43.5% 46.4%
84 Vera Dushevina RUS 22 0.7 4.0 63.3% 55.5% 40.1% 53.7% 47.8% 50.4% 41.4% 46.0%
85 Meng Yuan CHN 14 0.9 2.6 67.3% 56.8% 40.2% 36.5% 39.5% 51.6% 40.4% 46.0%
86 Zuzana Ondraskova CZE 10 0.6 4.2 64.8% 55.2% 36.5% 47.7% 61.2% 48.3% 44.1% 45.9%
87 Stephanie Foretz Gacon FRA 12 1.8 4.7 61.9% 55.5% 38.3% 47.5% 40.8% 49.8% 41.6% 45.8%
88 Kveta Peschke CZE 22 0.9 3.6 60.2% 56.2% 39.8% 45.2% 36.4% 49.5% 41.6% 45.7%
89 Antonella Serra Zanetti ITA 11 0.1 5.8 72.4% 52.1% 34.5% 38.4% 48.5% 46.8% 44.3% 45.6%
90 María Sánchez Lorenzo ESP 13 3.0 3.2 52.2% 60.8% 42.3% 53.4% 48.1% 51.9% 38.9% 45.5%

How to read these columns

Sample
Matches with the required stat data available.
Aces/M
Aces per match with serve stats available.
DFs/M
Double faults per match with serve stats available.
1st Sv%
Percentage of service points where the first serve landed in.
1st Sv Pts%
Percentage of points won after making a first serve.
2nd Sv Pts%
Percentage of points won after missing the first serve and making a second serve.
BP Saved%
Percentage of break points won by the server.
BP Conv%
Percentage of break-point chances won by the returner.
Svc Pts%
Percentage of all points won while serving.
Ret Pts%
Percentage of all points won while returning.
Total Pts%
Percentage of all completed points won.

View the full tennis statistics glossary →

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