Who leads the 2026 ATP and WTA seasons in aces, double faults, first- and second-serve points won, return points won, break points saved and converted, winners and unforced errors. Each board shows the top five here and links to its own page, where both tours run 50 deep with the definition, the formula and the coverage behind the number. Below them is the full stat table for the season's win-rate leaders; in the app you can slice every stat further by surface, year, tournament and level.
| # | Player | Aces/match | Matches |
|---|---|---|---|
| 1 | Hubert Hurkacz | 15.2 | 27 |
| 2 | Taylor Fritz | 15.1 | 38 |
| 3 | Alexander Bublik | 12.9 | 28 |
| 4 | Quentin Halys | 12.1 | 21 |
| 5 | Arthur Rinderknech | 12.0 | 27 |
Full ATP aces per match leaderboard, 89 qualified →
| # | Player | DF/match | Matches |
|---|---|---|---|
| 1 | Adam Walton | 1.2 | 17 |
| 2 | Brandon Nakashima | 1.3 | 41 |
| 3 | Alejandro Davidovich Fokina | 1.4 | 27 |
| 4 | Jenson Brooksby | 1.5 | 21 |
| 5 | Jannik Sinner | 1.6 | 47 |
Full ATP fewest double faults per match leaderboard, 89 qualified →
| # | Player | 1st serve % | Matches |
|---|---|---|---|
| 1 | Mariano Navone | 72.2% | 21 |
| 2 | Alexander Zverev | 70.8% | 63 |
| 3 | Alejandro Davidovich Fokina | 70.3% | 27 |
| 4 | Joao Fonseca | 68.2% | 30 |
| 5 | Sebastian Baez | 68.2% | 19 |
Full ATP first-serve percentage leaderboard, 89 qualified →
| # | Player | 1st serve won % | Matches |
|---|---|---|---|
| 1 | Jannik Sinner | 80.7% | 47 |
| 2 | Taylor Fritz | 80.2% | 38 |
| 3 | Hubert Hurkacz | 79.4% | 27 |
| 4 | Brandon Nakashima | 78.7% | 41 |
| 5 | Valentin Vacherot | 78.5% | 24 |
Full ATP first-serve points won leaderboard, 89 qualified →
| # | Player | 2nd serve won % | Matches |
|---|---|---|---|
| 1 | Jannik Sinner | 58.7% | 47 |
| 2 | Ben Shelton | 57.6% | 44 |
| 3 | Carlos Alcaraz | 57.4% | 29 |
| 4 | Joao Fonseca | 56.8% | 30 |
| 5 | Alexander Zverev | 56.6% | 63 |
Full ATP second-serve points won leaderboard, 89 qualified →
| # | Player | Service pts won % | Matches |
|---|---|---|---|
| 1 | Jannik Sinner | 72.9% | 47 |
| 2 | Taylor Fritz | 71.7% | 38 |
| 3 | Alexander Zverev | 71.2% | 63 |
| 4 | Ben Shelton | 70.9% | 44 |
| 5 | Brandon Nakashima | 68.8% | 41 |
| # | Player | Return pts won % | Matches |
|---|---|---|---|
| 1 | Carlos Alcaraz | 41.8% | 29 |
| 2 | Daniil Medvedev | 41.0% | 41 |
| 3 | Jannik Sinner | 40.7% | 47 |
| 4 | Lorenzo Musetti | 40.6% | 26 |
| 5 | Francisco Cerundolo | 40.4% | 37 |
Full ATP return points won leaderboard, 89 qualified →
| # | Player | 1st return won % | Matches |
|---|---|---|---|
| 1 | Carlos Alcaraz | 35.1% | 29 |
| 2 | Daniil Medvedev | 33.9% | 41 |
| 3 | Rafael Jodar | 33.2% | 43 |
| 4 | Jannik Sinner | 33.0% | 47 |
| 5 | Lorenzo Musetti | 32.4% | 26 |
Full ATP first-serve return points won leaderboard, 89 qualified →
| # | Player | 2nd return won % | Matches |
|---|---|---|---|
| 1 | Daniel Merida Aguilar | 55.7% | 19 |
| 2 | Jannik Sinner | 54.1% | 47 |
| 3 | Frances Tiafoe | 53.7% | 48 |
| 4 | Francisco Cerundolo | 53.6% | 37 |
| 5 | Carlos Alcaraz | 53.5% | 29 |
Full ATP second-serve return points won leaderboard, 89 qualified →
| # | Player | BP converted % | Matches |
|---|---|---|---|
| 1 | Ignacio Buse | 48.9% | 20 |
| 2 | Sebastian Baez | 45.5% | 15 |
| 3 | Tommy Paul | 45.2% | 40 |
| 4 | Cameron Norrie | 44.4% | 24 |
| 5 | Felix Auger-Aliassime | 44.3% | 39 |
| # | Player | BP saved % | Matches |
|---|---|---|---|
| 1 | Alexander Blockx | 72.3% | 22 |
| 2 | Jannik Sinner | 71.5% | 43 |
| 3 | Hamad Medjedovic | 70.6% | 19 |
| 4 | Novak Djokovic | 70.5% | 21 |
| 5 | Karen Khachanov | 70.1% | 34 |
Full ATP break points saved leaderboard, 79 qualified →
| # | Player | Winners/match | Matches |
|---|---|---|---|
| 1 | Novak Djokovic | 35.9 | 21 |
| 2 | Quentin Halys | 35.6 | 20 |
| 3 | Hubert Hurkacz | 35.6 | 26 |
| 4 | Jan-Lennard Struff | 35.4 | 23 |
| 5 | Arthur Rinderknech | 35.1 | 27 |
Full ATP winners per match leaderboard, 87 qualified →
| # | Player | W/UE | Matches |
|---|---|---|---|
| 1 | Jannik Sinner | 1.34 | 47 |
| 2 | Taylor Fritz | 1.31 | 32 |
| 3 | Jaume Munar | 1.28 | 15 |
| 4 | Arthur Rinderknech | 1.27 | 27 |
| 5 | Alexander Zverev | 1.20 | 61 |
Full ATP winners-to-unforced-errors ratio leaderboard, 87 qualified →
| # | Player | UE/match | Matches |
|---|---|---|---|
| 1 | Jannik Sinner | 21.6 | 47 |
| 2 | Tomas Martin Etcheverry | 21.8 | 31 |
| 3 | Jaume Munar | 22.6 | 15 |
| 4 | Taylor Fritz | 23.1 | 32 |
| 5 | Arthur Fils | 23.2 | 38 |
Full ATP fewest unforced errors per match leaderboard, 87 qualified →
| Player | Country | Matches | W–L | Win % | Aces/match | DF/match | 1st serve % | 1st serve won % | 2nd serve won % | Service pts won % | Return pts won % | BP saved % | BP converted % |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jannik Sinner | ITA | 47 | 44–3 | 93.6% | 9.7 | 1.6 | 64.7% | 80.7% | 58.7% | 72.9% | 40.7% | 71.5% | 40.7% |
| Carlos Alcaraz | ESP | 31 | 26–5 | 83.9% | 4.8 | 2.6 | 67.1% | 73.1% | 57.4% | 67.9% | 41.8% | 69.3% | 41.9% |
| Alexander Zverev | GER | 64 | 52–12 | 81.2% | 10.1 | 2.6 | 70.8% | 77.2% | 56.6% | 71.2% | 37.3% | 61.0% | 40.7% |
| Arthur Fils | FRA | 41 | 31–10 | 75.6% | 5.1 | 2.1 | 63.7% | 74.9% | 56.4% | 68.2% | 37.5% | 69.4% | 40.9% |
| Taylor Fritz | USA | 38 | 28–10 | 73.7% | 15.1 | 1.9 | 66.2% | 80.2% | 55.0% | 71.7% | 34.8% | 68.6% | 34.7% |
| Ben Shelton | USA | 45 | 33–12 | 73.3% | 9.9 | 3.0 | 67.4% | 77.3% | 57.6% | 70.9% | 33.8% | 69.7% | 37.0% |
| Frances Tiafoe | USA | 48 | 35–13 | 72.9% | 6.8 | 2.5 | 58.1% | 74.7% | 53.0% | 65.6% | 36.6% | 66.4% | 44.3% |
| Novak Djokovic | SRB | 22 | 15–7 | 68.2% | 8.8 | 3.5 | 67.1% | 74.0% | 53.6% | 67.3% | 35.8% | 70.5% | 38.5% |
| Rafael Jodar | ESP | 44 | 30–14 | 68.2% | 4.3 | 2.6 | 62.2% | 69.2% | 52.8% | 63.0% | 40.0% | 62.2% | 41.6% |
| Daniil Medvedev | — | 43 | 29–14 | 67.4% | 7.7 | 4.2 | 63.9% | 74.1% | 48.0% | 64.7% | 41.0% | 59.6% | 44.1% |
| Flavio Cobolli | ITA | 46 | 31–15 | 67.4% | 6.9 | 3.2 | 55.7% | 72.1% | 51.9% | 63.2% | 36.8% | 62.3% | 40.1% |
| Felix Auger-Aliassime | CAN | 41 | 27–14 | 65.9% | 10.7 | 3.2 | 66.8% | 77.5% | 50.8% | 68.7% | 36.1% | 65.1% | 44.3% |
| Tommy Paul | USA | 43 | 28–15 | 65.1% | 6.7 | 2.1 | 60.2% | 74.7% | 54.9% | 66.8% | 37.8% | 65.5% | 45.2% |
| Alex De Minaur | AUS | 45 | 29–16 | 64.4% | 4.0 | 3.3 | 57.3% | 70.3% | 54.4% | 63.5% | 39.9% | 66.3% | 42.9% |
| Jakub Mensik | CZE | 42 | 27–15 | 64.3% | 11.6 | 4.5 | 60.4% | 78.3% | 47.9% | 66.2% | 36.5% | 59.3% | 34.7% |
| Thiago Agustin Tirante | ARG | 28 | 18–10 | 64.3% | 9.8 | 2.7 | 56.3% | 76.9% | 55.1% | 67.4% | 36.0% | 63.2% | 35.5% |
| Jiri Lehecka | CZE | 39 | 25–14 | 64.1% | 7.6 | 1.6 | 64.1% | 74.1% | 51.8% | 66.1% | 36.0% | 65.1% | 37.4% |
| Francisco Cerundolo | ARG | 38 | 24–14 | 63.2% | 4.5 | 3.6 | 59.1% | 69.4% | 50.9% | 61.8% | 40.4% | 59.0% | 39.3% |
| Lorenzo Musetti | ITA | 27 | 17–10 | 63.0% | 4.0 | 2.6 | 63.0% | 68.8% | 52.4% | 62.7% | 40.6% | 63.8% | 39.7% |
| Brandon Nakashima | USA | 42 | 26–16 | 61.9% | 10.2 | 1.3 | 65.1% | 78.7% | 50.3% | 68.8% | 35.5% | 63.9% | 40.8% |
| Learner Tien | USA | 34 | 21–13 | 61.8% | 6.2 | 4.5 | 61.9% | 70.4% | 50.4% | 62.8% | 39.2% | 59.6% | 43.6% |
| Casper Ruud | NOR | 31 | 19–12 | 61.3% | 6.2 | 2.8 | 66.3% | 71.4% | 56.2% | 66.2% | 36.9% | 68.7% | 40.4% |
| Alexander Blockx | BEL | 28 | 17–11 | 60.7% | 8.5 | 3.4 | 59.4% | 78.4% | 52.8% | 68.0% | 34.6% | 72.3% | 37.5% |
| Joao Fonseca | BRA | 33 | 20–13 | 60.6% | 5.5 | 1.7 | 68.2% | 70.0% | 56.8% | 65.8% | 36.1% | 69.3% | 42.9% |
| Valentin Vacherot | MON | 25 | 15–10 | 60.0% | 10.5 | 3.7 | 63.1% | 78.5% | 50.1% | 68.0% | 36.4% | 64.0% | 35.7% |
| Botic Van De Zandschulp | NED | 30 | 18–12 | 60.0% | 7.9 | 5.7 | 60.7% | 74.4% | 45.9% | 63.1% | 37.2% | 58.9% | 38.5% |
| Alex Michelsen | USA | 32 | 19–13 | 59.4% | 7.5 | 3.5 | 63.0% | 74.7% | 51.8% | 66.2% | 37.1% | 67.5% | 39.3% |
| Alejandro Davidovich Fokina | ESP | 27 | 16–11 | 59.3% | 4.1 | 1.4 | 70.3% | 70.1% | 53.8% | 65.3% | 36.4% | 66.7% | 38.5% |
| Andrey Rublev | — | 36 | 21–15 | 58.3% | 7.4 | 3.2 | 61.5% | 73.9% | 50.6% | 65.0% | 37.0% | 67.4% | 38.1% |
| Daniel Merida Aguilar | ESP | 19 | 11–8 | 57.9% | 4.1 | 3.6 | 65.1% | 68.6% | 48.1% | 61.5% | 38.6% | 59.1% | 43.3% |
| Jaime Faria | POR | 19 | 11–8 | 57.9% | 8.2 | 6.1 | 57.5% | 72.4% | 50.9% | 63.3% | 36.1% | 59.3% | 35.0% |
| Matteo Berrettini | ITA | 26 | 15–11 | 57.7% | 9.5 | 2.3 | 64.9% | 77.8% | 51.7% | 68.6% | 33.8% | 65.9% | 40.7% |
| Luciano Darderi | ITA | 33 | 19–14 | 57.6% | 6.9 | 2.7 | 58.0% | 70.2% | 51.2% | 62.2% | 37.1% | 59.4% | 37.3% |
| Alejandro Tabilo | CHI | 35 | 20–15 | 57.1% | 6.6 | 2.1 | 63.1% | 75.1% | 52.9% | 66.9% | 35.3% | 60.9% | 39.1% |
| Arthur Fery | GBR | 16 | 9–7 | 56.2% | 4.9 | 1.9 | 62.4% | 69.1% | 52.8% | 62.9% | 36.6% | 51.9% | 38.0% |
| Karen Khachanov | — | 38 | 21–17 | 55.3% | 8.2 | 2.1 | 63.9% | 74.9% | 54.2% | 67.4% | 36.9% | 70.1% | 41.6% |
| Alexander Bublik | KAZ | 29 | 16–13 | 55.2% | 12.9 | 3.8 | 64.2% | 76.7% | 50.8% | 67.4% | 35.0% | 64.2% | 37.9% |
| Tomas Martin Etcheverry | ARG | 33 | 18–15 | 54.5% | 6.2 | 2.1 | 63.3% | 72.7% | 54.8% | 66.2% | 34.9% | 58.4% | 34.1% |
| Ignacio Buse | PER | 24 | 13–11 | 54.2% | 4.2 | 2.4 | 61.7% | 70.2% | 49.8% | 62.4% | 37.4% | 59.5% | 48.9% |
| Quentin Halys | FRA | 21 | 11–10 | 52.4% | 12.1 | 3.4 | 59.8% | 77.3% | 47.7% | 65.4% | 35.5% | 67.8% | 37.4% |
| Martin Landaluce | ESP | 21 | 11–10 | 52.4% | 5.5 | 5.5 | 60.7% | 69.9% | 51.1% | 62.5% | 37.7% | 65.5% | 41.7% |
| Nuno Borges | POR | 29 | 15–14 | 51.7% | 7.3 | 2.7 | 64.8% | 74.8% | 50.7% | 66.3% | 35.0% | 67.7% | 37.6% |
| Ugo Humbert | FRA | 32 | 16–16 | 50.0% | 6.8 | 3.7 | 58.1% | 75.1% | 52.1% | 65.5% | 34.7% | 62.2% | 36.7% |
| Cameron Norrie | GBR | 30 | 15–15 | 50.0% | 5.0 | 3.0 | 62.0% | 68.0% | 52.2% | 62.0% | 36.1% | 65.7% | 44.4% |
| Stefanos Tsitsipas | GRE | 32 | 16–16 | 50.0% | 7.6 | 2.8 | 59.5% | 76.3% | 51.3% | 66.2% | 34.7% | 57.6% | 33.5% |
| Vit Kopriva | CZE | 26 | 13–13 | 50.0% | 4.8 | 3.4 | 61.3% | 68.9% | 48.4% | 61.0% | 37.0% | 59.4% | 42.9% |
| Tomas Machac | CZE | 20 | 10–10 | 50.0% | 4.2 | 2.8 | 64.2% | 66.1% | 50.4% | 60.5% | 35.8% | 62.6% | 39.7% |
| Hamad Medjedovic | SRB | 20 | 10–10 | 50.0% | 8.1 | 4.3 | 64.9% | 71.5% | 48.4% | 63.4% | 32.6% | 70.6% | 32.8% |
| Dino Prizmic | CRO | 18 | 9–9 | 50.0% | 5.0 | 4.2 | 58.9% | 72.0% | 53.9% | 64.6% | 35.3% | 60.2% | 38.9% |
| Hubert Hurkacz | POL | 27 | 13–14 | 48.1% | 15.2 | 3.5 | 62.0% | 79.4% | 50.3% | 68.3% | 35.1% | 67.6% | 33.5% |
| # | Player | Aces/match | Matches |
|---|---|---|---|
| 1 | Qinwen Zheng | 8.2 | 21 |
| 2 | Linda Noskova | 7.3 | 45 |
| 3 | Clara Tauson | 6.8 | 28 |
| 4 | Elena Rybakina | 6.5 | 61 |
| 5 | Alycia Parks | 6.2 | 26 |
Full WTA aces per match leaderboard, 80 qualified →
| # | Player | DF/match | Matches |
|---|---|---|---|
| 1 | Karolina Muchova | 1.4 | 44 |
| 2 | Jessica Pegula | 1.8 | 63 |
| 3 | Renata Zarazua | 1.8 | 15 |
| 4 | Yulia Putintseva | 1.8 | 21 |
| 5 | Maja Chwalinska | 1.9 | 17 |
Full WTA fewest double faults per match leaderboard, 80 qualified →
| # | Player | 1st serve % | Matches |
|---|---|---|---|
| 1 | Renata Zarazua | 74.8% | 15 |
| 2 | Maja Chwalinska | 70.7% | 17 |
| 3 | Caty McNally | 70.0% | 23 |
| 4 | Yulia Putintseva | 69.8% | 21 |
| 5 | Viktorija Golubic | 69.6% | 18 |
Full WTA first-serve percentage leaderboard, 80 qualified →
| # | Player | 1st serve won % | Matches |
|---|---|---|---|
| 1 | Elena Rybakina | 74.0% | 61 |
| 2 | Qinwen Zheng | 74.0% | 21 |
| 3 | Linda Noskova | 73.1% | 45 |
| 4 | Naomi Osaka | 72.0% | 37 |
| 5 | Marta Kostyuk | 70.9% | 40 |
Full WTA first-serve points won leaderboard, 80 qualified →
| # | Player | 2nd serve won % | Matches |
|---|---|---|---|
| 1 | Aryna Sabalenka | 53.4% | 54 |
| 2 | Yuliia Starodubtseva | 53.4% | 24 |
| 3 | Hailey Baptiste | 51.5% | 22 |
| 4 | Elena Rybakina | 51.4% | 61 |
| 5 | Karolina Muchova | 50.7% | 43 |
Full WTA second-serve points won leaderboard, 80 qualified →
| # | Player | Service pts won % | Matches |
|---|---|---|---|
| 1 | Aryna Sabalenka | 64.5% | 54 |
| 2 | Elena Rybakina | 64.3% | 61 |
| 3 | Karolina Muchova | 63.3% | 43 |
| 4 | Linda Noskova | 63.0% | 45 |
| 5 | Naomi Osaka | 62.4% | 37 |
| # | Player | Return pts won % | Matches |
|---|---|---|---|
| 1 | Iga Swiatek | 48.8% | 44 |
| 2 | Anastasia Potapova | 47.4% | 34 |
| 3 | Coco Gauff | 47.3% | 56 |
| 4 | Mirra Andreeva | 47.0% | 58 |
| 5 | Elina Svitolina | 47.0% | 51 |
Full WTA return points won leaderboard, 80 qualified →
| # | Player | 1st return won % | Matches |
|---|---|---|---|
| 1 | Iga Swiatek | 41.9% | 44 |
| 2 | Coco Gauff | 41.7% | 56 |
| 3 | Maja Chwalinska | 41.5% | 17 |
| 4 | Anastasia Potapova | 41.3% | 34 |
| 5 | Mirra Andreeva | 40.6% | 58 |
Full WTA first-serve return points won leaderboard, 80 qualified →
| # | Player | 2nd return won % | Matches |
|---|---|---|---|
| 1 | Kamilla Rakhimova | 60.4% | 20 |
| 2 | Elina Svitolina | 60.0% | 51 |
| 3 | Iga Swiatek | 59.8% | 44 |
| 4 | Amanda Anisimova | 59.7% | 33 |
| 5 | Belinda Bencic | 59.2% | 32 |
Full WTA second-serve return points won leaderboard, 80 qualified →
| # | Player | BP converted % | Matches |
|---|---|---|---|
| 1 | Kamilla Rakhimova | 55.1% | 17 |
| 2 | Maja Chwalinska | 53.8% | 17 |
| 3 | Anastasia Potapova | 53.7% | 33 |
| 4 | Jessica Bouzas Maneiro | 53.4% | 15 |
| 5 | Elina Svitolina | 52.4% | 49 |
| # | Player | BP saved % | Matches |
|---|---|---|---|
| 1 | Elena Rybakina | 65.6% | 59 |
| 2 | Linda Noskova | 63.5% | 43 |
| 3 | Maya Joint | 63.2% | 17 |
| 4 | Diane Parry | 62.4% | 25 |
| 5 | Qinwen Zheng | 62.4% | 19 |
| Player | Country | Matches | W–L | Win % | Aces/match | DF/match | 1st serve % | 1st serve won % | 2nd serve won % | Service pts won % | Return pts won % | BP saved % | BP converted % |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aryna Sabalenka | — | 55 | 46–9 | 83.6% | 5.1 | 2.4 | 64.0% | 70.8% | 53.4% | 64.5% | 44.4% | 62.0% | 45.7% |
| Jessica Pegula | USA | 63 | 50–13 | 79.4% | 4.3 | 1.8 | 62.1% | 69.5% | 50.1% | 62.2% | 45.3% | 58.6% | 42.8% |
| Elena Rybakina | KAZ | 62 | 49–13 | 79.0% | 6.5 | 2.8 | 57.3% | 74.0% | 51.4% | 64.3% | 42.3% | 65.6% | 42.6% |
| Karolina Muchova | CZE | 46 | 36–10 | 78.3% | 3.4 | 1.4 | 63.5% | 70.6% | 50.7% | 63.3% | 43.0% | 62.0% | 45.8% |
| Coco Gauff | USA | 56 | 43–13 | 76.8% | 3.1 | 5.4 | 62.5% | 68.4% | 44.3% | 59.3% | 47.3% | 54.8% | 46.3% |
| Marta Kostyuk | UKR | 41 | 31–10 | 75.6% | 4.0 | 4.3 | 57.0% | 70.9% | 47.0% | 60.6% | 46.4% | 62.0% | 46.5% |
| Mirra Andreeva | — | 61 | 46–15 | 75.4% | 3.0 | 3.7 | 63.8% | 67.6% | 48.7% | 60.7% | 47.0% | 58.7% | 50.6% |
| Iga Swiatek | POL | 45 | 33–12 | 73.3% | 1.8 | 3.2 | 66.3% | 67.1% | 50.2% | 61.4% | 48.8% | 61.1% | 51.0% |
| Elina Svitolina | UKR | 53 | 38–15 | 71.7% | 3.4 | 3.4 | 59.5% | 67.0% | 46.5% | 58.7% | 47.0% | 61.3% | 52.4% |
| Naomi Osaka | JPN | 38 | 27–11 | 71.1% | 6.2 | 2.5 | 58.7% | 72.0% | 48.8% | 62.4% | 42.8% | 58.2% | 47.1% |
| Victoria Mboko | CAN | 31 | 22–9 | 71.0% | 4.5 | 4.3 | 65.3% | 66.5% | 48.2% | 60.1% | 43.7% | 52.2% | 44.7% |
| Linda Noskova | CZE | 48 | 34–14 | 70.8% | 7.3 | 5.3 | 60.3% | 73.1% | 47.5% | 63.0% | 41.2% | 63.5% | 44.2% |
| Iva Jovic | USA | 44 | 30–14 | 68.2% | 2.5 | 2.3 | 59.3% | 65.4% | 49.6% | 59.0% | 46.1% | 56.5% | 48.1% |
| Sorana Cirstea | ROU | 43 | 29–14 | 67.4% | 3.9 | 2.1 | 59.4% | 66.5% | 48.2% | 59.0% | 44.2% | 53.7% | 47.1% |
| Amanda Anisimova | USA | 36 | 24–12 | 66.7% | 3.5 | 4.3 | 64.1% | 66.2% | 47.9% | 59.6% | 46.3% | 57.7% | 50.4% |
| Madison Keys | USA | 40 | 26–14 | 65.0% | 4.5 | 3.9 | 63.2% | 69.4% | 46.8% | 61.1% | 43.3% | 61.0% | 45.7% |
| Belinda Bencic | SUI | 34 | 22–12 | 64.7% | 1.9 | 3.4 | 63.2% | 66.4% | 50.0% | 60.4% | 45.8% | 55.9% | 50.9% |
| Karolina Pliskova | CZE | 28 | 18–10 | 64.3% | 3.3 | 5.9 | 66.2% | 65.2% | 41.7% | 57.3% | 40.5% | 53.8% | 49.3% |
| Diane Parry | FRA | 25 | 16–9 | 64.0% | 4.5 | 3.6 | 57.7% | 69.3% | 44.8% | 58.9% | 40.2% | 62.4% | 42.3% |
| Nikola Bartunkova | CZE | 25 | 16–9 | 64.0% | 4.6 | 4.6 | 51.7% | 68.5% | 45.8% | 57.5% | 43.2% | 53.7% | 46.3% |
| Hailey Baptiste | USA | 26 | 16–10 | 61.5% | 5.5 | 4.1 | 56.5% | 68.4% | 51.5% | 61.0% | 41.3% | 61.0% | 42.1% |
| Elise Mertens | BEL | 43 | 26–17 | 60.5% | 4.1 | 4.4 | 59.0% | 68.6% | 44.5% | 58.7% | 43.8% | 57.6% | 48.5% |
| Anastasia Potapova | AUT | 38 | 23–15 | 60.5% | 2.8 | 4.7 | 56.4% | 65.2% | 42.8% | 55.4% | 47.4% | 57.7% | 53.7% |
| Alexandra Eala | PHI | 50 | 30–20 | 60.0% | 1.4 | 2.7 | 62.9% | 61.7% | 48.3% | 56.7% | 44.5% | 52.1% | 43.5% |
| Anna Kalinskaya | — | 45 | 27–18 | 60.0% | 2.4 | 4.8 | 61.7% | 63.3% | 45.1% | 56.3% | 43.3% | 45.9% | 46.9% |
| Diana Shnaider | — | 47 | 28–19 | 59.6% | 1.5 | 3.3 | 65.5% | 63.1% | 48.8% | 58.2% | 43.9% | 54.2% | 46.4% |
| Maja Chwalinska | POL | 17 | 10–7 | 58.8% | 0.6 | 1.9 | 70.7% | 60.8% | 49.5% | 57.5% | 46.6% | 58.0% | 53.8% |
| Jasmine Paolini | ITA | 28 | 16–12 | 57.1% | 1.7 | 2.0 | 66.8% | 60.8% | 48.3% | 56.7% | 44.2% | 58.4% | 46.1% |
| Emma Navarro | USA | 35 | 20–15 | 57.1% | 4.7 | 4.6 | 56.9% | 67.9% | 44.8% | 58.0% | 41.8% | 59.0% | 41.9% |
| Yuliia Starodubtseva | UKR | 25 | 14–11 | 56.0% | 1.4 | 2.2 | 61.6% | 59.0% | 53.4% | 56.9% | 44.4% | 55.6% | 44.0% |
| Sara Bejlek | CZE | 27 | 15–12 | 55.6% | 1.1 | 3.0 | 62.6% | 61.6% | 47.4% | 56.3% | 44.1% | 50.0% | 43.8% |
| Qinwen Zheng | CHN | 22 | 12–10 | 54.5% | 8.2 | 5.2 | 54.4% | 74.0% | 45.4% | 61.0% | 39.2% | 62.4% | 39.7% |
| Talia Gibson | AUS | 30 | 16–14 | 53.3% | 4.3 | 4.4 | 55.8% | 66.6% | 44.9% | 57.0% | 41.4% | 55.5% | 43.2% |
| Caty McNally | USA | 25 | 13–12 | 52.0% | 1.0 | 4.1 | 70.0% | 61.0% | 43.6% | 55.8% | 44.4% | 56.7% | 47.7% |
| Jelena Ostapenko | LAT | 35 | 18–17 | 51.4% | 3.5 | 6.2 | 57.1% | 66.5% | 40.6% | 55.4% | 44.8% | 53.5% | 51.6% |
| Leylah Fernandez | CAN | 42 | 21–21 | 50.0% | 2.1 | 5.0 | 61.7% | 64.4% | 47.0% | 57.7% | 42.1% | 62.2% | 41.2% |
| Maria Sakkari | GRE | 32 | 16–16 | 50.0% | 3.5 | 2.6 | 61.8% | 64.6% | 49.3% | 58.7% | 41.9% | 59.8% | 46.8% |
| Peyton Stearns | USA | 30 | 15–15 | 50.0% | 3.9 | 3.1 | 58.8% | 66.5% | 45.6% | 57.9% | 42.6% | 52.4% | 40.9% |
| Viktorija Golubic | SUI | 18 | 9–9 | 50.0% | 0.7 | 2.3 | 69.6% | 60.3% | 43.8% | 55.3% | 45.9% | 48.2% | 45.1% |
| Taylor Townsend | USA | 22 | 11–11 | 50.0% | 4.6 | 1.9 | 65.2% | 67.5% | 48.1% | 60.7% | 41.4% | 61.2% | 41.2% |
| Ann Li | USA | 37 | 18–19 | 48.6% | 4.7 | 3.0 | 57.8% | 69.0% | 46.8% | 59.6% | 40.7% | 57.0% | 40.8% |
| Marie Bouzkova | CZE | 33 | 16–17 | 48.5% | 1.1 | 3.5 | 69.0% | 62.7% | 42.8% | 56.5% | 44.1% | 57.9% | 41.3% |
| Xinyu Wang | CHN | 31 | 15–16 | 48.4% | 3.6 | 3.6 | 64.4% | 66.1% | 43.7% | 58.1% | 41.0% | 55.7% | 42.9% |
| Donna Vekic | CRO | 25 | 12–13 | 48.0% | 3.5 | 4.1 | 58.0% | 67.8% | 45.9% | 58.6% | 39.8% | 57.1% | 35.0% |
| McCartney Kessler | USA | 25 | 12–13 | 48.0% | 2.1 | 2.8 | 62.4% | 60.9% | 46.5% | 55.5% | 43.7% | 56.4% | 44.3% |
| Camila Osorio | COL | 23 | 11–12 | 47.8% | 1.6 | 6.0 | 62.9% | 62.9% | 44.0% | 55.9% | 43.0% | 58.4% | 46.8% |
| Ekaterina Alexandrova | — | 36 | 17–19 | 47.2% | 4.5 | 4.5 | 58.7% | 66.2% | 45.1% | 57.5% | 41.7% | 55.2% | 39.4% |
| Katerina Siniakova | CZE | 30 | 14–16 | 46.7% | 1.9 | 4.9 | 61.7% | 62.8% | 46.4% | 56.5% | 43.4% | 60.0% | 41.1% |
| Alycia Parks | USA | 30 | 14–16 | 46.7% | 6.2 | 7.2 | 52.2% | 68.0% | 43.9% | 56.4% | 39.7% | 56.8% | 39.6% |
| Elena Gabriela Ruse | ROU | 28 | 13–15 | 46.4% | 3.7 | 4.2 | 55.1% | 64.8% | 47.3% | 56.9% | 44.1% | 56.3% | 43.8% |
Figures cover Grand Slam, 1000- and 500-level singles matches in 2026, on every surface. 250-level and lower-tier events are not counted, so a player's totals here run below their full-season numbers. A player needs at least 15 of those matches to appear at all, and each leaderboard needs 15 matches WITH THAT STAT recorded. The Matches column shows the sample each average was measured over. A board is withheld for a tour that records the statistic in fewer than half its matches — today that is fastest average first serve (ATP and WTA); winners per match (WTA); winners-to-unforced-errors ratio (WTA); fewest unforced errors per match (WTA).