Rankings as of: Dec 25, 2023

WTA 2023 Performance Stats, Serve & Return Leaders

Serve, return, and point-level leaders for the 2023 WTA season.

Iga Swiatek leads the 2023 WTA performance sample in total points won at 59.3% (minimum 10 matches with detailed stats).

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Performance Stats

Serve and return metrics for the 2023 season.

143 players with 10+ stat matches.

Detailed serve and return statistics available for 2,462/2,497 (98.6%) of WTA main draw matches in 2023.

# 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 Iga Swiatek POL 74 1.6 1.6 65.3% 71.0% 56.2% 49.1% 59.0% 66.0% 53.0% 59.3%
2 Aryna Sabalenka BLR 69 5.9 4.1 61.2% 74.4% 50.3% 61.9% 46.3% 65.1% 45.7% 55.2%
3 Marketa Vondrousova CZE 53 2.6 4.0 63.3% 67.8% 49.1% 50.4% 48.7% 61.1% 48.2% 54.1%
4 Karolina Muchova CZE 49 3.4 2.4 63.5% 68.1% 52.0% 57.8% 50.2% 61.9% 46.4% 54.0%
5 Elena Rybakina KAZ 60 7.6 3.0 56.9% 74.5% 49.3% 59.3% 44.7% 63.7% 43.9% 53.8%
6 Jessica Pegula USA 69 2.5 2.4 58.4% 67.2% 50.7% 54.6% 51.3% 60.2% 47.5% 53.7%
7 Belinda Bencic SUI 42 3.1 4.2 60.7% 70.3% 52.4% 54.1% 53.3% 63.2% 44.6% 53.6%
8 Sara Sorribes Tormo ESP 27 0.7 4.8 68.8% 60.1% 41.8% 54.3% 65.5% 54.3% 52.8% 53.4%
9 Coco Gauff USA 66 3.9 3.3 60.1% 68.8% 48.2% 56.6% 51.7% 60.7% 46.1% 53.4%
10 Madison Keys USA 43 3.9 1.9 67.5% 68.3% 48.3% 60.2% 48.0% 62.0% 44.4% 53.1%
11 Paula Badosa ESP 26 4.0 4.3 56.9% 69.6% 49.2% 58.1% 47.2% 60.6% 45.3% 52.7%
12 Mirra Andreeva RUS 22 1.8 1.9 62.9% 65.4% 54.1% 55.2% 50.6% 61.1% 44.2% 52.6%
13 Victoria Azarenka BLR 42 3.1 4.5 63.3% 68.1% 45.1% 51.9% 47.7% 59.4% 46.0% 52.6%
14 Leylah Fernandez CAN 47 3.0 4.7 63.0% 67.8% 49.0% 53.9% 48.9% 61.0% 44.0% 52.5%
15 Barbora Krejcikova CZE 48 3.4 4.1 59.8% 69.9% 46.8% 52.2% 50.9% 60.6% 44.3% 52.4%
16 Petra Kvitova CZE 40 5.3 5.5 62.7% 70.6% 47.6% 53.6% 50.3% 61.8% 43.1% 52.2%
17 Liudmila Samsonova RUS 57 5.9 4.6 55.0% 72.1% 47.7% 51.4% 46.3% 61.1% 43.2% 52.0%
18 Taylor Townsend USA 15 4.7 1.7 66.0% 68.3% 53.2% 57.1% 39.3% 63.1% 41.2% 51.9%
19 Qinwen Zheng CHN 52 6.6 4.2 51.4% 74.7% 45.7% 59.8% 48.0% 60.6% 43.5% 51.9%
20 Mai Hontama JPN 10 0.3 2.4 66.9% 61.7% 49.9% 35.8% 55.3% 57.4% 46.6% 51.9%
21 Ons Jabeur TUN 53 3.4 3.0 54.7% 67.7% 45.9% 52.3% 51.3% 57.5% 46.7% 51.9%
22 Jelena Ostapenko LAT 59 3.9 4.8 57.7% 67.9% 44.8% 53.0% 51.2% 58.0% 45.4% 51.8%
23 Caroline Dolehide USA 14 4.0 4.4 67.6% 66.2% 43.7% 69.1% 46.5% 59.5% 43.3% 51.7%
24 Elise Mertens BEL 47 3.8 6.6 54.0% 68.2% 43.7% 49.7% 48.3% 57.0% 46.4% 51.6%
25 Camila Giorgi ITA 35 3.0 6.3 56.0% 67.8% 45.8% 56.8% 46.0% 58.2% 45.1% 51.6%
26 Lesia Tsurenko UKR 37 0.1 3.1 66.2% 57.5% 43.0% 47.8% 54.7% 52.7% 50.3% 51.5%
27 Marie Bouzkova CZE 42 1.9 2.2 68.2% 62.9% 47.3% 56.1% 47.6% 58.1% 44.7% 51.5%
28 Daria Kasatkina AUS 64 1.0 3.5 75.4% 60.0% 40.4% 53.4% 51.5% 54.9% 48.3% 51.5%
29 Emiliana Arango COL 11 0.8 3.5 66.9% 61.5% 45.0% 51.3% 47.8% 56.4% 47.0% 51.4%
30 Ekaterina Alexandrova RUS 54 4.9 6.6 56.8% 69.8% 46.3% 57.9% 52.2% 59.6% 43.0% 51.3%
31 Caty Mcnally USA 21 1.2 3.4 69.7% 60.4% 45.3% 52.8% 52.4% 55.8% 46.7% 51.3%
32 Elina Svitolina UKR 26 3.6 3.0 62.6% 65.2% 46.0% 51.2% 51.6% 57.9% 44.5% 51.2%
33 Ashlyn Krueger USA 16 2.4 3.2 63.7% 67.7% 46.6% 47.7% 44.8% 60.0% 42.9% 51.2%
34 Clara Burel FRA 26 2.0 4.4 56.5% 62.7% 45.3% 47.4% 51.4% 54.9% 47.5% 51.2%
35 Varvara Gracheva FRA 46 1.7 3.3 61.5% 65.8% 47.4% 54.9% 50.6% 58.6% 43.2% 51.2%
36 Emina Bektas USA 10 6.5 2.6 66.0% 70.1% 49.9% 45.1% 53.1% 63.5% 38.0% 51.1%
37 Caroline Garcia FRA 62 7.3 3.3 60.2% 72.6% 49.5% 63.5% 42.9% 63.4% 38.5% 51.1%
38 Linda Noskova CZE 39 3.4 4.2 61.0% 66.8% 45.9% 58.2% 49.9% 58.7% 42.8% 51.1%
39 Anastasia Pavlyuchenkova RUS 26 3.0 4.8 62.0% 65.2% 45.9% 57.5% 47.3% 57.1% 45.2% 51.1%
40 Veronika Kudermetova RUS 56 5.0 2.4 59.9% 67.0% 47.9% 55.5% 48.4% 59.4% 42.9% 51.1%
41 Katie Boulter GBR 21 3.9 5.2 58.0% 67.7% 43.8% 59.7% 49.1% 58.0% 43.6% 51.1%
42 Maria Sakkari GRE 59 3.7 3.3 59.6% 67.2% 48.5% 61.6% 44.4% 59.5% 43.0% 51.1%
43 Anna Kalinskaya RUS 29 1.9 3.4 64.7% 64.6% 46.1% 53.5% 55.6% 57.9% 44.3% 51.1%
44 Emma Navarro USA 30 1.2 2.8 61.0% 61.9% 49.3% 48.2% 48.1% 56.9% 44.7% 50.9%
45 Yue Yuan CHN 17 3.1 1.9 59.1% 65.2% 48.5% 54.8% 46.3% 58.5% 43.8% 50.8%
46 Beatriz Haddad Maia BRA 52 2.2 2.9 69.4% 63.5% 49.6% 54.2% 45.7% 59.4% 42.7% 50.8%
47 Sorana Cirstea ROU 45 2.7 2.5 61.6% 65.3% 46.7% 54.1% 48.3% 58.2% 42.9% 50.8%
48 Yulia Putintseva KAZ 42 1.1 2.0 73.4% 61.8% 44.0% 60.0% 48.6% 57.0% 44.3% 50.7%
49 Lucia Bronzetti ITA 37 1.7 2.1 61.9% 62.5% 47.2% 56.3% 49.8% 56.8% 45.0% 50.7%
50 Rebecca Peterson SWE 15 2.1 4.1 65.3% 64.3% 40.5% 53.5% 51.5% 55.9% 45.3% 50.7%
51 Elina Avanesyan ARM 21 1.0 2.9 68.6% 58.7% 39.2% 46.0% 47.5% 52.7% 48.5% 50.7%
52 Peyton Stearns USA 30 1.4 3.3 68.2% 59.6% 47.8% 57.2% 55.3% 55.9% 44.7% 50.6%
53 Harriet Dart GBR 17 3.5 4.5 51.5% 68.9% 47.4% 45.3% 46.0% 58.3% 43.8% 50.6%
54 Donna Vekic CRO 46 4.0 5.4 56.0% 67.6% 44.2% 52.8% 51.8% 57.4% 43.6% 50.6%
55 Katerina Siniakova CZE 38 2.3 5.1 62.6% 62.5% 44.4% 45.2% 43.9% 55.8% 45.8% 50.6%
56 Elisabetta Cocciaretto ITA 35 1.3 3.4 65.1% 58.0% 49.6% 52.2% 50.6% 55.0% 46.1% 50.5%
57 Laura Siegemund GER 23 0.6 3.0 75.3% 62.5% 44.7% 59.6% 49.4% 58.0% 42.5% 50.5%
58 Eva Lys GER 15 0.3 3.3 71.8% 56.9% 43.0% 51.8% 48.3% 52.8% 48.2% 50.5%
59 Tamara Korpatsch GER 27 1.8 3.9 55.0% 60.2% 44.5% 47.1% 47.2% 53.8% 47.2% 50.5%
60 Danielle Collins USA 36 3.6 4.6 59.0% 67.2% 47.2% 55.1% 48.1% 58.8% 42.2% 50.4%
61 Tatjana Maria GER 48 3.9 2.9 55.1% 65.7% 44.8% 49.5% 56.1% 56.5% 44.1% 50.4%
62 Anastasia Potapova AUT 47 2.0 5.0 57.9% 63.6% 44.6% 55.2% 45.0% 55.5% 45.4% 50.4%
63 Rebeka Masarova SUI 30 4.8 3.6 67.4% 66.9% 45.4% 57.5% 43.9% 60.1% 40.4% 50.3%
64 Lin Zhu CHN 51 1.5 2.5 65.3% 61.7% 48.4% 55.9% 51.0% 57.1% 43.5% 50.3%
65 Elena-Gabriela Ruse ROU 15 2.1 3.7 60.1% 62.8% 45.1% 51.3% 45.3% 55.7% 45.2% 50.3%
66 Irina-Camelia Begu ROU 26 2.6 4.2 65.6% 63.6% 45.5% 55.2% 48.0% 57.3% 43.6% 50.3%
67 Anhelina Kalinina UKR 49 2.1 4.2 61.5% 63.5% 47.3% 49.7% 47.6% 56.8% 43.8% 50.3%
68 Diana Shnaider RUS 27 2.1 2.6 61.2% 62.6% 45.9% 46.9% 47.0% 56.1% 44.1% 50.2%
69 Karolina Pliskova CZE 36 6.4 4.5 65.1% 69.3% 38.7% 53.3% 49.4% 58.7% 42.2% 50.2%
70 Sofia Kenin USA 39 1.6 2.9 69.5% 63.4% 48.8% 50.9% 43.5% 59.1% 41.3% 50.2%
71 Marta Kostyuk UKR 43 3.1 6.0 57.0% 66.3% 43.4% 48.0% 49.1% 56.5% 43.6% 50.2%
72 Kimberly Birrell AUS 18 1.6 4.4 60.7% 62.1% 44.2% 52.1% 49.4% 55.1% 45.2% 50.1%
73 Xiyu Wang CHN 40 4.3 5.0 64.6% 68.4% 44.1% 54.9% 38.4% 59.9% 40.4% 50.0%
74 Sachia Vickery USA 10 3.1 2.9 60.3% 64.3% 44.9% 44.2% 42.5% 56.5% 44.0% 50.0%
75 Sloane Stephens USA 40 1.1 2.2 69.4% 60.6% 45.7% 51.1% 51.2% 56.1% 43.8% 49.9%
76 Anna Karolina Schmiedlova SVK 25 2.3 3.9 57.7% 63.0% 43.5% 50.1% 47.0% 54.8% 44.7% 49.9%
77 Ana Bogdan ROU 25 2.8 1.8 62.1% 62.8% 47.5% 44.4% 52.2% 56.7% 43.1% 49.8%
78 Magdalena Frech POL 30 2.8 2.0 63.4% 61.8% 48.5% 50.7% 49.3% 56.9% 43.1% 49.8%
79 Arantxa Rus NED 17 2.5 3.6 65.0% 60.4% 48.7% 56.3% 39.2% 56.4% 43.2% 49.8%
80 Petra Martic CRO 38 4.8 3.4 57.1% 68.6% 47.9% 56.2% 40.1% 60.0% 39.8% 49.7%
81 Emma Raducanu GBR 10 2.2 2.1 62.8% 65.7% 49.3% 53.4% 33.3% 59.2% 41.0% 49.6%
82 Jasmine Paolini ITA 47 0.9 1.8 68.3% 59.0% 48.4% 51.4% 45.2% 55.7% 43.5% 49.6%
83 Magda Linette POL 48 2.5 1.8 67.0% 62.0% 48.8% 45.6% 46.1% 57.4% 41.6% 49.5%
84 Camila Osorio COL 32 0.7 5.3 64.2% 60.6% 42.3% 50.7% 40.1% 53.9% 44.9% 49.5%
85 Daria Saville AUS 14 1.3 4.8 63.7% 61.1% 38.3% 45.4% 53.3% 53.3% 45.8% 49.5%
86 Erika Andreeva RUS 12 1.3 2.6 65.3% 62.3% 46.4% 51.6% 50.4% 56.7% 42.3% 49.4%
87 Xinyu Wang CHN 46 2.0 3.4 57.2% 62.1% 47.8% 52.6% 48.8% 56.1% 43.2% 49.4%
88 Heather Watson GBR 15 3.2 3.5 59.7% 65.9% 42.0% 44.9% 38.1% 56.2% 42.5% 49.4%
89 Anna-Lena Friedsam GER 21 3.3 3.0 66.8% 62.2% 45.3% 54.4% 54.5% 56.6% 42.0% 49.4%
90 Jennifer Brady USA 10 2.2 3.6 53.8% 61.7% 50.5% 46.5% 50.2% 56.8% 41.6% 49.4%
91 Martina Trevisan ITA 40 0.6 3.1 63.7% 58.1% 46.6% 46.4% 47.9% 53.8% 44.3% 49.2%
92 Anna Bondar HUN 23 3.7 2.0 60.1% 66.2% 43.2% 50.1% 43.1% 56.8% 41.8% 49.2%
93 Danka Kovinic MNE 19 3.5 4.6 57.7% 64.5% 42.4% 50.2% 54.5% 54.6% 43.3% 49.1%
94 Greet Minnen BEL 11 2.8 3.0 60.3% 62.7% 45.1% 60.0% 39.9% 55.5% 43.0% 49.1%
95 Shelby Rogers USA 22 3.7 2.9 60.1% 68.2% 45.8% 55.2% 50.0% 59.0% 39.0% 49.1%
96 Bianca Andreescu CAN 31 2.4 3.0 65.5% 62.3% 47.6% 51.1% 53.5% 57.4% 40.2% 49.0%
97 Yanina Wickmayer BEL 15 2.6 4.3 64.2% 61.8% 39.4% 55.5% 53.6% 53.7% 44.3% 49.0%
98 Kaia Kanepi EST 21 2.5 3.1 57.0% 66.2% 46.9% 46.5% 42.8% 57.7% 40.7% 49.0%
99 Anna Blinkova RUS 50 3.1 4.7 58.0% 62.7% 44.9% 51.5% 47.7% 55.4% 42.5% 49.0%
100 Alizé Cornet FRA 30 1.5 5.3 63.6% 61.9% 42.7% 52.0% 54.8% 54.8% 43.2% 49.0%
101 Clara Tauson DEN 17 2.4 2.9 58.9% 63.9% 47.0% 51.0% 44.8% 56.4% 41.3% 48.9%
102 Kamilla Rakhimova UZB 23 1.3 4.0 57.7% 62.7% 43.5% 39.6% 50.0% 54.4% 43.6% 48.9%
103 Lauren Davis USA 30 1.6 3.4 61.1% 61.0% 45.3% 48.1% 52.8% 54.9% 42.8% 48.9%
104 Bernarda Pera USA 40 3.7 5.6 62.4% 61.8% 45.2% 54.8% 49.4% 55.6% 41.5% 48.8%
105 Linda Fruhvirtova CZE 37 2.8 6.0 62.5% 63.7% 36.9% 49.7% 54.2% 53.6% 43.7% 48.8%
106 Aliaksandra Sasnovich BLR 37 2.3 3.8 66.6% 59.4% 43.4% 50.5% 50.2% 54.0% 43.4% 48.7%
107 Tamara Zidansek SLO 14 0.5 3.7 68.0% 54.9% 43.2% 53.3% 54.1% 51.1% 46.1% 48.6%
108 Kateryna Baindl UKR 22 0.8 2.4 73.0% 58.4% 42.7% 48.8% 49.1% 53.8% 42.7% 48.4%
109 Jodie Burrage GBR 18 3.7 3.6 60.5% 61.9% 43.9% 48.1% 53.4% 54.8% 41.7% 48.2%
110 Nao Hibino JPN 21 1.4 2.2 67.4% 58.0% 47.2% 47.1% 60.3% 54.4% 42.1% 48.2%
111 Claire Liu USA 34 2.4 2.8 63.8% 61.2% 44.1% 47.1% 48.9% 55.3% 41.1% 48.2%
112 Anett Kontaveit EST 12 2.9 3.1 62.4% 64.4% 43.0% 46.1% 37.2% 56.3% 40.1% 48.2%
113 Julia Grabher AUT 29 1.4 5.0 65.2% 62.9% 42.5% 54.2% 49.7% 55.6% 40.2% 48.1%
114 Mayar Sherif EGY 35 2.5 1.6 72.2% 59.8% 49.8% 58.2% 41.0% 57.0% 39.0% 48.1%
115 Jil Teichmann SUI 27 2.4 3.5 59.7% 61.7% 43.4% 48.4% 44.7% 54.6% 41.2% 48.0%
116 Lucrezia Stefanini ITA 12 0.4 2.6 74.2% 52.2% 41.6% 47.8% 58.1% 49.7% 46.0% 47.9%
117 Diane Parry FRA 15 2.5 2.7 58.7% 63.4% 45.5% 48.4% 44.8% 55.8% 40.3% 47.9%
118 Kaja Juvan SLO 15 1.8 1.9 62.3% 62.1% 45.6% 55.2% 40.6% 55.8% 39.5% 47.8%
119 Tereza Martincova CZE 19 1.5 2.6 72.7% 57.8% 40.9% 41.4% 42.1% 53.1% 42.8% 47.8%
120 Nadia Podoroska ARG 31 1.8 4.1 61.7% 60.8% 42.9% 52.9% 56.4% 54.0% 40.8% 47.7%
121 Vera Zvonareva RUS 12 0.5 4.2 61.3% 59.4% 44.8% 56.4% 52.9% 54.0% 40.3% 47.7%
122 Maryna Zanevska BEL 17 2.4 4.5 59.9% 59.1% 43.1% 47.6% 42.3% 53.0% 42.4% 47.7%
123 Alycia Parks USA 34 7.9 9.1 53.0% 69.3% 42.6% 53.1% 44.1% 56.4% 38.1% 47.4%
124 Jule Niemeier GER 28 2.9 6.4 53.4% 66.0% 40.2% 52.1% 39.3% 54.1% 40.5% 47.4%
125 Venus Williams USA 10 3.6 4.4 60.1% 64.2% 38.7% 43.3% 39.2% 54.0% 40.5% 47.2%
126 Dayana Yastremska UKR 21 2.5 5.2 57.8% 59.4% 42.8% 40.6% 53.6% 52.2% 41.9% 47.1%
127 Viktoria Hruncakova SVK 20 5.3 5.2 57.1% 66.6% 41.5% 47.5% 44.3% 55.8% 38.6% 47.1%
128 Madison Brengle USA 20 0.3 2.7 75.1% 54.6% 41.7% 40.9% 51.5% 51.4% 43.0% 47.1%
129 Jaqueline Cristian ROU 14 3.1 2.6 62.7% 59.8% 42.1% 49.5% 53.7% 53.0% 40.8% 47.1%
130 Katie Volynets USA 20 1.5 3.2 68.6% 56.2% 42.4% 44.6% 49.0% 51.9% 42.1% 47.1%
131 Viktorija Golubic SUI 16 0.6 2.6 66.9% 59.0% 42.3% 49.6% 41.4% 53.8% 39.8% 46.9%
132 Nuria Parrizas Diaz ESP 25 0.8 2.4 68.1% 56.2% 41.5% 47.8% 46.2% 51.5% 41.8% 46.8%
133 Storm Hunter AUS 12 1.3 2.2 63.3% 56.3% 44.7% 41.5% 46.4% 51.9% 40.5% 46.2%
134 Ysaline Bonaventure BEL 20 1.7 6.1 59.6% 59.3% 45.8% 47.1% 44.3% 53.7% 38.4% 46.1%
135 Elizabeth Mandlik USA 12 2.2 5.2 55.8% 58.7% 36.6% 44.3% 52.8% 48.6% 42.9% 46.1%
136 Rebecca Marino CAN 25 6.9 3.8 58.2% 66.4% 41.2% 53.2% 36.3% 55.9% 35.7% 46.0%
137 Cristina Bucsa ESP 29 1.1 3.5 63.8% 55.8% 40.3% 45.3% 44.7% 50.2% 41.7% 46.0%
138 Dalma Galfi HUN 17 5.1 2.6 63.5% 63.9% 43.4% 48.8% 36.7% 56.0% 35.5% 45.7%
139 Viktoriya Tomova BUL 20 1.5 3.3 63.5% 57.3% 39.6% 45.1% 45.1% 50.8% 39.8% 45.4%
140 Evgeniya Rodina RUS 11 0.3 3.5 71.4% 54.2% 38.9% 45.9% 42.6% 49.6% 39.3% 45.1%
141 Shuai Zhang CHN 22 1.2 2.9 61.1% 57.6% 39.6% 41.4% 52.3% 50.6% 37.3% 43.8%
142 Panna Udvardy HUN 11 1.6 3.0 67.4% 53.1% 32.0% 45.2% 60.6% 46.4% 40.1% 43.5%
143 Sara Errani ITA 13 0.0 1.5 79.1% 47.8% 31.7% 36.6% 49.8% 44.5% 41.9% 43.4%

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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