Rankings as of: Jul 13, 2026

ATP 2026 Performance Stats & Serve/Return Leaders

Serve, return, and point-level leaders for the 2026 ATP season.

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Performance Stats

Serve and return metrics for the 2026 season.

146 players with 5+ stat matches.

# 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 Jannik Sinner ITA 47 9.6 1.6 64.8% 81.3% 58.8% 56.9% 43.2% 73.7% 42.1% 56.8%
2 Carlos Alcaraz ESP 24 4.6 2.3 68.5% 73.9% 56.8% 54.1% 43.8% 68.7% 43.3% 55.3%
3 Sebastian Korda USA 18 9.7 1.9 62.7% 81.7% 54.2% 49.2% 36.8% 71.6% 39.6% 54.4%
4 Alexander Zverev GER 53 9.5 2.0 72.6% 76.5% 28.1% 50.0% 39.6% 71.1% 38.1% 53.6%
5 Tommy Paul USA 43 6.9 1.8 62.6% 75.5% 55.6% 52.8% 45.2% 68.3% 39.2% 53.3%
6 Daniil Medvedev RUS 42 7.5 3.8 66.6% 73.5% 48.7% 61.5% 44.0% 65.4% 41.3% 53.2%
7 Rafael Jodar ESP 33 4.4 1.9 63.9% 69.4% 56.2% 56.3% 41.8% 64.6% 41.6% 53.0%
8 Eliot Spizzirri USA 9 8.8 1.2 67.7% 77.1% 57.1% 32.9% 40.8% 70.2% 38.0% 52.9%
9 Casper Ruud NOR 36 6.1 2.3 67.4% 71.7% 56.8% 64.1% 38.1% 67.0% 38.4% 52.8%
10 Felix Auger-Aliassime CAN 42 10.8 2.5 68.2% 78.9% 53.5% 59.8% 40.7% 70.6% 35.7% 52.7%
11 Novak Djokovic SRB 18 9.2 3.1 69.5% 75.1% 55.1% 62.9% 39.9% 68.8% 37.1% 52.6%
12 Alex Molcan SVK 14 3.1 1.8 64.4% 70.2% 57.4% 59.6% 46.1% 65.4% 40.4% 52.6%
13 Brandon Nakashima USA 33 9.7 0.8 68.8% 77.6% 50.9% 54.4% 41.6% 69.2% 36.0% 52.4%
14 Andrea Pellegrino ITA 11 2.8 2.4 58.7% 68.5% 58.5% 47.5% 37.4% 63.8% 39.4% 52.3%
15 Alex de Minaur AUS 38 3.8 2.9 59.9% 70.4% 55.9% 58.3% 47.7% 64.3% 41.0% 52.3%
16 Francisco Cerundolo ARG 39 3.4 2.7 60.5% 69.7% 53.0% 58.2% 41.2% 63.3% 40.8% 52.2%
17 Taylor Fritz USA 32 16.2 1.6 70.1% 79.8% 53.3% 63.1% 30.3% 72.1% 33.0% 52.1%
18 Jakub Mensik CZE 33 12.0 4.3 62.1% 78.1% 48.5% 51.1% 37.7% 66.8% 37.1% 51.7%
19 Ugo Humbert FRA 42 7.5 3.1 60.6% 76.1% 55.2% 63.4% 38.6% 67.9% 35.3% 51.7%
20 Alejandro Tabilo CHI 33 5.9 1.6 65.8% 75.6% 54.1% 47.3% 37.5% 68.2% 36.2% 51.6%
21 Ben Shelton USA 35 11.7 3.1 67.8% 77.7% 58.4% 66.7% 33.0% 71.5% 32.0% 51.6%
22 Arthur Gea FRA 7 8.3 3.6 60.1% 77.3% 55.3% 40.9% 42.6% 68.6% 35.6% 51.6%
23 Joao Fonseca BRA 28 5.6 1.5 69.2% 70.1% 55.9% 57.6% 40.4% 66.2% 36.6% 51.5%
24 Karen Khachanov RUS 30 8.1 1.7 68.4% 74.0% 54.6% 64.8% 36.6% 67.8% 35.7% 51.5%
25 Roman Safiullin RUS 6 7.8 3.8 78.8% 71.8% 48.2% 67.5% 43.2% 67.2% 36.7% 51.5%
26 Andrey Rublev RUS 35 7.0 2.8 63.1% 73.2% 51.5% 63.5% 37.4% 65.5% 38.0% 51.5%
27 Daniel Merida ESP 16 2.8 2.1 71.8% 68.7% 48.8% 52.3% 45.5% 63.1% 39.6% 51.4%
28 Roman Andres Burruchaga ARG 19 2.7 3.1 65.7% 68.2% 50.6% 57.3% 47.7% 62.1% 41.3% 51.4%
29 Matteo Berrettini ITA 25 8.6 2.0 68.2% 74.9% 53.3% 63.2% 38.8% 68.0% 35.4% 51.4%
30 Valentin Vacherot MON 24 10.4 3.0 66.7% 76.9% 52.8% 61.0% 43.6% 68.8% 33.8% 51.4%
31 Adolfo Daniel Vallejo PAR 13 3.2 2.3 64.3% 67.0% 51.6% 50.5% 43.8% 61.7% 40.5% 51.3%
32 Frances Tiafoe USA 44 6.7 2.1 63.4% 74.1% 54.6% 62.5% 39.8% 66.7% 36.1% 51.3%
33 Thiago Agustin Tirante ARG 29 7.9 2.5 61.3% 74.4% 53.3% 62.2% 45.3% 66.3% 36.4% 51.2%
34 Dino Prizmic CRO 20 4.9 3.4 61.0% 71.7% 56.1% 55.3% 42.2% 65.6% 37.0% 51.2%
35 Mariano Navone ARG 32 1.5 2.5 73.7% 65.4% 44.8% 55.9% 42.6% 59.9% 42.8% 51.2%
36 Jiri Lehecka CZE 34 8.7 1.2 67.1% 74.6% 52.3% 66.4% 31.8% 67.3% 34.6% 51.0%
37 Alexander Blockx BEL 17 6.5 2.6 61.5% 77.2% 54.1% 67.2% 35.1% 67.8% 34.1% 51.0%
38 Alejandro Davidovich Fokina ESP 38 4.3 1.5 69.4% 70.1% 54.0% 59.6% 42.4% 65.4% 36.3% 51.0%
39 Jack Draper GBR 12 6.4 2.2 65.3% 77.1% 54.2% 44.5% 32.3% 69.0% 34.3% 50.8%
40 Hubert Hurkacz POL 22 15.4 2.8 65.6% 77.5% 52.3% 63.2% 29.9% 69.1% 33.3% 50.8%
41 Arthur Fery GBR 14 4.8 1.6 66.2% 70.2% -100.2% 53.3% 42.6% 63.5% 39.5% 50.8%
42 Nuno Borges POR 36 6.1 1.7 67.4% 74.1% 49.8% 62.1% 40.1% 65.6% 35.6% 50.8%
43 Marcos Giron USA 26 5.1 2.0 66.6% 70.8% 52.8% 55.5% 40.0% 65.0% 35.5% 50.8%
44 Alex Michelsen USA 32 6.4 2.5 66.6% 72.1% 51.0% 59.6% 37.8% 65.3% 36.6% 50.8%
45 Arthur Fils FRA 31 4.6 2.1 63.6% 72.3% 56.6% 53.8% 32.5% 66.7% 34.5% 50.7%
46 Yannick Hanfmann GER 31 8.5 2.3 63.3% 76.7% 54.2% 54.5% 30.0% 68.8% 34.4% 50.7%
47 Botic van de Zandschulp NED 29 7.4 4.7 63.5% 73.0% 45.7% 65.0% 40.8% 63.4% 37.8% 50.7%
48 Miomir Kecmanovic SRB 28 5.3 2.2 63.6% 74.0% 55.0% 52.6% 38.9% 67.0% 34.9% 50.7%
49 Luca Nardi ITA 6 4.7 1.7 62.7% 71.5% 61.7% 77.7% 30.8% 67.8% 34.5% 50.7%
50 Lorenzo Musetti ITA 20 4.2 2.1 67.4% 68.6% 52.6% 63.2% 38.2% 63.7% 36.9% 50.7%
51 Learner Tien USA 33 7.0 4.6 62.6% 70.0% 51.5% 54.0% 44.4% 63.1% 38.5% 50.6%
52 Luciano Darderi ITA 38 6.1 2.4 58.7% 72.6% 51.0% 54.2% 38.4% 63.4% 37.8% 50.6%
53 Martin Damm USA 16 11.6 3.4 65.3% 77.3% 56.1% 60.5% 32.4% 70.2% 30.9% 50.5%
54 Stefanos Tsitsipas GRE 29 7.4 2.4 64.6% 77.7% 51.1% 58.4% 28.9% 68.8% 33.1% 50.4%
55 Shintaro Mochizuki JPN 7 3.7 4.1 57.7% 68.0% 47.1% 69.3% 30.1% 59.3% 39.6% 50.3%
56 Jaume Munar ESP 22 5.6 2.5 63.0% 72.5% 51.1% 56.5% 27.1% 64.4% 36.8% 50.3%
57 Arthur Rinderknech FRA 26 11.8 2.7 64.9% 77.1% 52.0% 65.1% 25.1% 68.3% 32.4% 50.2%
58 Kamil Majchrzak POL 24 6.5 1.6 66.2% 72.2% 52.5% 53.0% 41.5% 65.2% 35.0% 50.2%
59 Marin Cilic CRO 26 9.5 3.3 58.8% 77.2% 48.0% 61.8% 37.2% 65.3% 35.0% 50.2%
60 Martin Landaluce ESP 18 6.1 4.8 62.9% 72.4% 53.2% 63.3% 37.7% 65.3% 35.8% 50.2%
61 Quentin Halys FRA 28 10.9 3.0 61.2% 76.4% 50.6% 64.0% 30.9% 66.3% 33.9% 50.1%
62 Ethan Quinn USA 27 7.7 3.5 65.7% 75.0% 46.1% 46.6% 32.4% 65.7% 34.1% 50.0%
63 Zizou Bergs BEL 26 7.8 4.8 60.6% 71.8% 48.7% 50.3% 36.4% 62.9% 37.1% 50.0%
64 Tomas Martin Etcheverry ARG 38 6.0 1.9 64.6% 72.4% 54.8% 51.7% 38.0% 66.2% 34.6% 50.0%
65 Alexander Bublik KAZ 37 11.7 3.5 66.7% 75.5% 49.6% 60.0% 35.2% 67.1% 33.1% 49.9%
66 Raphael Collignon BEL 21 8.7 4.7 64.7% 77.0% 48.3% 59.8% 38.1% 66.9% 33.5% 49.9%
67 Hamad Medjedovic SRB 21 8.5 3.9 67.6% 71.3% 50.3% 67.2% 31.1% 64.6% 34.6% 49.9%
68 Ignacio Buse PER 28 4.0 2.3 61.4% 70.2% 50.9% 61.4% 49.7% 62.7% 36.3% 49.9%
69 Marco Trungelliti ARG 14 4.5 4.4 63.1% 70.3% 47.1% 62.5% 40.1% 61.5% 37.4% 49.9%
70 Reilly Opelka USA 14 20.7 4.4 69.9% 80.0% 58.4% 65.6% 21.9% 73.5% 26.2% 49.9%
71 Jaime Faria POR 12 8.8 4.5 60.0% 73.7% 53.3% 59.0% 31.0% 65.8% 33.9% 49.8%
72 Sebastian Baez ARG 31 1.7 1.7 72.9% 64.3% 50.8% 64.7% 45.0% 60.6% 38.5% 49.7%
73 Tomas Machac CZE 24 4.9 2.5 65.3% 69.6% 50.7% 56.3% 38.8% 62.9% 35.8% 49.7%
74 Juan Manuel Cerundolo ARG 26 6.6 3.5 63.3% 69.7% 47.8% 58.6% 39.3% 62.4% 36.2% 49.6%
75 Vit Kopriva CZE 31 4.3 3.5 62.2% 69.6% 48.8% 57.9% 42.3% 61.9% 37.1% 49.5%
76 Titouan Droguet FRA 13 9.8 2.2 59.2% 71.7% 53.3% 55.1% 26.1% 64.2% 33.9% 49.5%
77 Tallon Griekspoor NED 21 8.9 3.4 64.4% 73.7% 54.0% 57.1% 42.0% 66.5% 32.0% 49.5%
78 Flavio Cobolli ITA 41 6.4 2.9 57.2% 71.8% 50.3% 62.8% 37.5% 62.9% 35.5% 49.5%
79 Cameron Norrie GBR 27 5.3 2.7 64.2% 69.9% 51.7% 60.4% 40.6% 63.4% 35.3% 49.5%
80 Sho Shimabukuro JPN 11 9.0 3.5 58.7% 79.0% 52.9% 45.4% 36.4% 68.5% 31.4% 49.5%
81 Stan Wawrinka SUI 16 9.3 3.1 57.8% 75.4% 53.8% 58.9% 39.9% 65.5% 33.0% 49.4%
82 Marton Fucsovics HUN 22 4.7 4.0 62.2% 71.7% 50.4% 50.5% 33.6% 63.5% 35.2% 49.4%
83 Gael Monfils FRA 10 8.5 4.6 62.7% 72.3% 43.3% 64.6% 33.7% 61.2% 36.6% 49.4%
84 Pablo Carreno Busta ESP 18 4.1 1.4 71.2% 68.1% 51.4% 48.2% 31.1% 64.4% 34.6% 49.4%
85 Rinky Hijikata AUS 22 5.1 2.5 63.8% 70.6% 49.0% 62.4% 35.1% 63.2% 35.0% 49.4%
86 Jan-Lennard Struff GER 22 11.5 3.9 58.7% 74.0% 49.6% 65.5% 29.7% 64.2% 34.0% 49.3%
87 Benjamin Bonzi FRA 10 4.8 1.7 68.5% 71.3% 50.2% 60.0% 27.8% 64.8% 34.3% 49.2%
88 Fabian Marozsan HUN 33 4.7 2.0 66.5% 70.1% 52.0% 56.1% 31.5% 64.0% 34.1% 49.1%
89 Yibing Wu CHN 13 6.1 1.7 63.2% 71.8% 53.5% 61.2% 33.5% 64.8% 34.1% 49.1%
90 Dalibor Svrcina CZE 7 3.3 4.6 59.9% 66.0% 49.4% 61.9% 34.4% 59.3% 38.9% 49.0%
91 Terence Atmane FRA 27 7.7 2.2 64.6% 75.3% 50.5% 56.0% 39.5% 66.6% 30.3% 48.9%
92 Cristian Garin CHI 10 3.2 3.5 62.4% 69.7% 45.3% 52.4% 39.1% 60.6% 37.7% 48.9%
93 Grigor Dimitrov BUL 19 8.8 3.9 62.1% 74.1% 48.2% 46.1% 36.8% 64.2% 33.6% 48.8%
94 Toby Samuel GBR 6 5.3 2.7 66.0% 68.0% 48.5% 52.2% 37.8% 61.0% 34.8% 48.8%
95 Alexei Popyrin AUS 25 9.4 1.9 62.2% 74.9% 52.4% 52.9% 23.2% 66.2% 31.9% 48.8%
96 Corentin Moutet FRA 21 3.1 2.6 64.3% 66.1% 50.0% 53.1% 40.1% 60.3% 37.1% 48.7%
97 Luca Van Assche FRA 8 3.6 4.3 64.9% 61.5% 46.5% 47.0% 49.4% 56.1% 41.4% 48.6%
98 Aleksandar Kovacevic USA 28 11.6 3.3 61.3% 77.8% 52.9% 59.8% 31.1% 68.2% 28.3% 48.6%
99 Lorenzo Sonego ITA 19 7.0 1.9 67.2% 70.4% 52.1% 54.6% 32.7% 64.9% 33.1% 48.5%
100 Nicolai Budkov Kjaer NOR 6 2.2 1.3 65.7% 66.3% 48.5% 17.8% 41.7% 61.7% 34.7% 48.5%
101 Sebastian Ofner AUT 8 9.4 2.5 55.1% 74.4% 53.1% 60.3% 15.1% 64.9% 29.8% 48.5%
102 Zachary Svajda USA 18 9.3 2.8 62.9% 72.1% 49.5% 53.8% 35.7% 63.7% 31.7% 48.4%
103 Denis Shapovalov CAN 22 7.2 4.6 57.7% 70.0% 50.6% 56.4% 36.7% 61.8% 35.2% 48.3%
104 Jack Pinnington Jones GBR 8 6.9 4.5 66.8% 71.6% 45.1% 46.0% 29.0% 63.1% 32.4% 48.3%
105 Francisco Comesana ARG 19 8.4 3.8 67.9% 71.2% 45.5% 45.3% 31.6% 63.4% 33.2% 48.2%
106 Damir Dzumhur BIH 26 1.4 1.7 66.8% 61.9% 49.2% 52.4% 40.0% 57.6% 38.3% 48.2%
107 Jan Choinski GBR 9 7.4 1.8 64.0% 69.6% 47.7% 66.1% 41.0% 62.0% 34.6% 48.1%
108 Adam Walton AUS 18 5.9 0.7 65.1% 65.7% 52.9% 67.9% 42.2% 61.4% 33.5% 48.1%
109 Moise Kouame FRA 8 7.0 6.6 58.6% 66.8% 50.6% 66.8% 31.0% 60.1% 34.8% 48.0%
110 Matteo Arnaldi ITA 17 6.2 3.9 61.5% 66.9% 46.9% 57.4% 38.9% 59.1% 36.4% 47.9%
111 Camilo Ugo Carabelli ARG 30 3.7 2.6 61.6% 68.9% 47.9% 59.4% 33.9% 60.7% 34.6% 47.9%
112 Mattia Bellucci ITA 21 6.6 3.3 62.0% 70.9% 49.5% 60.1% 29.5% 62.9% 32.5% 47.9%
113 Daniel Altmaier GER 31 6.5 2.7 64.3% 70.3% 48.0% 47.5% 33.5% 62.3% 33.0% 47.8%
114 Jenson Brooksby USA 24 2.6 1.6 68.3% 65.1% 49.0% 51.0% 37.0% 59.8% 35.3% 47.7%
115 Vilius Gaubas LTU 11 3.0 1.8 69.5% 63.9% 48.9% 59.5% 36.1% 59.2% 35.6% 47.6%
116 Gabriel Diallo CAN 23 7.5 2.7 69.1% 70.0% 44.8% 55.5% 43.3% 62.1% 32.4% 47.6%
117 Patrick Kypson USA 10 7.6 3.0 67.6% 70.5% 47.6% 56.7% 40.9% 64.3% 29.8% 47.6%
118 Coleman Wong HKG 9 8.6 2.0 62.1% 68.8% 50.7% 67.7% 44.9% 62.1% 31.6% 47.6%
119 Jesper de Jong NED 15 8.5 4.1 64.5% 69.4% 44.1% 56.0% 34.6% 60.8% 33.3% 47.5%
120 Adrian Mannarino FRA 30 4.6 2.0 63.8% 67.8% 47.1% 55.9% 40.5% 60.8% 33.4% 47.5%
121 Giovanni Mpetshi Perricard FRA 22 17.3 2.8 72.7% 75.4% 47.2% 56.6% 31.3% 67.9% 26.5% 47.5%
122 Nikoloz Basilashvili GEO 11 6.7 5.2 52.5% 76.8% 44.5% 50.0% 28.3% 61.5% 32.4% 47.5%
123 Valentin Royer FRA 19 6.2 2.4 62.9% 67.4% 48.4% 57.4% 44.8% 60.1% 33.0% 47.4%
124 Aleksandr Shevchenko KAZ 21 5.9 2.4 63.4% 66.9% 49.0% 60.5% 35.8% 61.1% 33.3% 47.3%
125 Emilio Nava USA 17 9.7 3.4 66.6% 69.5% 45.1% 69.1% 33.2% 61.5% 31.8% 47.3%
126 Zhizhen Zhang CHN 14 7.6 1.6 64.3% 71.6% 46.9% 69.3% 41.1% 62.6% 30.6% 47.3%
127 James Duckworth AUS 13 9.8 3.3 57.9% 72.1% 52.5% 65.5% 18.8% 63.7% 30.1% 47.2%
128 Elmer Moller DEN 7 1.7 4.7 58.9% 61.7% 43.7% 55.7% 43.6% 54.4% 39.3% 47.1%
129 Dusan Lajovic SRB 8 2.9 1.0 70.0% 64.8% 52.6% 49.3% 20.8% 61.3% 32.6% 46.9%
130 Juncheng Shang CHN 7 4.3 2.4 65.9% 69.4% 51.4% 68.9% 23.1% 63.3% 28.1% 46.9%
131 Mackenzie McDonald USA 7 3.1 2.1 62.9% 59.7% 52.3% 61.1% 30.7% 57.3% 34.4% 46.9%
132 Nishesh Basavareddy USA 7 6.7 4.6 55.4% 71.1% 48.9% 61.1% 30.7% 61.3% 31.1% 46.9%
133 Otto Virtanen FIN 6 10.2 3.8 59.3% 71.3% 45.7% 52.3% 40.2% 60.8% 33.0% 46.8%
134 Kyrian Jacquet FRA 5 9.0 4.0 59.0% 69.2% 43.8% 42.6% 36.0% 59.2% 33.8% 46.8%
135 Christopher O'Connell AUS 8 9.1 1.6 58.6% 68.3% 48.4% 53.9% 40.4% 60.3% 31.5% 46.6%
136 Pedro Martinez ESP 10 1.1 3.0 66.4% 67.1% 41.7% 52.2% 30.2% 58.9% 31.7% 46.3%
137 Federico Cina ITA 6 5.3 2.8 60.5% 67.8% 49.0% 60.0% 30.8% 59.7% 32.0% 46.2%
138 Francesco Maestrelli ITA 5 10.8 3.0 70.0% 68.4% 39.8% 58.6% 19.6% 60.6% 32.0% 46.0%
139 Michael Zheng USA 8 7.4 1.8 66.8% 64.0% 46.9% 61.3% 30.5% 58.3% 32.0% 45.8%
140 Alexandre Muller FRA 14 3.6 2.3 68.3% 64.3% 45.4% 58.0% 30.1% 57.9% 32.4% 45.5%
141 Hugo Gaston FRA 8 3.3 3.0 60.0% 60.1% 42.9% 63.9% 36.0% 54.1% 33.3% 45.1%
142 Jacob Fearnley GBR 8 5.3 7.0 65.1% 67.3% 37.8% 53.6% 29.0% 56.9% 32.6% 45.1%
143 Laslo Djere SRB 5 5.4 2.4 64.2% 63.8% 45.8% 62.8% 18.6% 57.6% 30.0% 44.6%
144 Tomas Barrios Vera CHI 5 2.6 1.4 67.4% 62.8% 50.0% 60.0% 27.6% 58.4% 30.4% 44.6%
145 Roberto Bautista Agut ESP 17 3.3 1.5 68.3% 63.4% 49.5% 55.5% 21.5% 59.1% 29.1% 44.4%
146 Aleksandar Vukic AUS 11 4.5 2.0 54.4% 63.9% 47.1% 48.8% 28.6% 56.2% 29.2% 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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