First-serve return points won is the share of points a player wins against the opponent's first serve — the hardest ball in tennis to do anything with.
Anyone can win points off a second serve; winning them off a first serve is what turns a good returner into a break-point machine. Because the baseline is so low — the tour median sits well under half — small differences here are large in practice, and the leaders are usually the players whose opponents describe them as impossible to serve through.
Carlos Alcaraz leads the ATP with 35.3% of first-serve return points won in 2026, measured over 30 qualifying matches — the most of any qualified ATP player this season. Daniil Medvedev (33.9%) and Jannik Sinner (33.0%) are next. 89 ATP players qualify, and the median of that field is 27.6%.
| # | Player | Country | 1st return won % | Matches |
|---|---|---|---|---|
| 1 | Carlos Alcaraz | ESP | 35.3% | 30 |
| 2 | Daniil Medvedev | — | 33.9% | 41 |
| 3 | Jannik Sinner | ITA | 33.0% | 47 |
| 4 | Rafael Jodar | ESP | 33.0% | 44 |
| 5 | Lorenzo Musetti | ITA | 32.4% | 26 |
| 6 | Corentin Moutet | FRA | 32.4% | 20 |
| 7 | Francisco Cerundolo | ARG | 31.5% | 37 |
| 8 | Learner Tien | USA | 31.3% | 34 |
| 9 | Damir Dzumhur | BIH | 31.0% | 16 |
| 10 | Alex De Minaur | AUS | 30.8% | 43 |
| 11 | Luciano Darderi | ITA | 30.4% | 32 |
| 12 | Andrey Rublev | — | 30.4% | 35 |
| 13 | Denis Shapovalov | CAN | 30.4% | 27 |
| 14 | Tommy Paul | USA | 30.2% | 43 |
| 15 | Felix Auger-Aliassime | CAN | 30.1% | 41 |
| 16 | Thiago Agustin Tirante | ARG | 30.1% | 28 |
| 17 | Matteo Arnaldi | ITA | 30.0% | 19 |
| 18 | Arthur Fery | GBR | 29.9% | 16 |
| 19 | Vit Kopriva | CZE | 29.9% | 25 |
| 20 | Jakub Mensik | CZE | 29.8% | 41 |
| 21 | Ignacio Buse | PER | 29.4% | 23 |
| 22 | Jiri Lehecka | CZE | 29.3% | 39 |
| 23 | Alexander Zverev | GER | 29.2% | 63 |
| 24 | Flavio Cobolli | ITA | 29.2% | 44 |
| 25 | Valentin Vacherot | MON | 29.1% | 24 |
| 26 | Tomas Machac | CZE | 29.1% | 17 |
| 27 | Mariano Navone | ARG | 29.0% | 21 |
| 28 | Botic Van De Zandschulp | NED | 28.9% | 29 |
| 29 | Marton Fucsovics | HUN | 28.9% | 21 |
| 30 | Arthur Fils | FRA | 28.7% | 40 |
| 31 | Casper Ruud | NOR | 28.2% | 31 |
| 32 | Martin Landaluce | ESP | 28.2% | 20 |
| 33 | Michael Zheng | USA | 28.2% | 15 |
| 34 | Alejandro Davidovich Fokina | ESP | 28.1% | 27 |
| 35 | Nuno Borges | POR | 28.0% | 28 |
| 36 | Alex Michelsen | USA | 27.9% | 32 |
| 37 | Daniel Merida Aguilar | ESP | 27.9% | 19 |
| 38 | Yannick Hanfmann | GER | 27.9% | 22 |
| 39 | Hubert Hurkacz | POL | 27.8% | 27 |
| 40 | Alexander Bublik | KAZ | 27.7% | 28 |
| 41 | Jaime Faria | POR | 27.7% | 19 |
| 42 | Jaume Munar | ESP | 27.7% | 16 |
| 43 | Adam Walton | AUS | 27.7% | 17 |
| 44 | Cameron Norrie | GBR | 27.6% | 29 |
| 45 | Quentin Halys | FRA | 27.6% | 21 |
| 46 | Novak Djokovic | SRB | 27.5% | 21 |
| 47 | Karen Khachanov | — | 27.5% | 37 |
| 48 | Tomas Martin Etcheverry | ARG | 27.5% | 33 |
| 49 | Raphael Collignon | BEL | 27.5% | 15 |
| 50 | Alejandro Tabilo | CHI | 27.4% | 33 |
39 further qualified ATP players are outside the top 50; the full field is sortable in the ATP stat explorer on Stat Leaders.
Iga Swiatek leads the WTA with 41.9% of first-serve return points won in 2026, measured over 44 qualifying matches — the most of any qualified WTA player this season. Coco Gauff (41.7%) and Maja Chwalinska (41.5%) are next. 80 WTA players qualify, and the median of that field is 35.7%.
| # | Player | Country | 1st return won % | Matches |
|---|---|---|---|---|
| 1 | Iga Swiatek | POL | 41.9% | 44 |
| 2 | Coco Gauff | USA | 41.7% | 56 |
| 3 | Maja Chwalinska | POL | 41.5% | 17 |
| 4 | Anastasia Potapova | AUT | 41.3% | 34 |
| 5 | Mirra Andreeva | — | 40.6% | 58 |
| 6 | Marta Kostyuk | UKR | 39.5% | 40 |
| 7 | Iva Jovic | USA | 39.1% | 42 |
| 8 | Daria Kasatkina | AUS | 39.1% | 20 |
| 9 | Jessica Pegula | USA | 39.0% | 63 |
| 10 | Elina Svitolina | UKR | 38.8% | 51 |
| 11 | Jasmine Paolini | ITA | 38.4% | 28 |
| 12 | Magdalena Frech | POL | 38.4% | 32 |
| 13 | Amanda Anisimova | USA | 38.3% | 33 |
| 14 | Cristina Bucsa | ESP | 38.3% | 25 |
| 15 | Oleksandra Oliynykova | UKR | 38.3% | 21 |
| 16 | Sara Bejlek | CZE | 38.2% | 22 |
| 17 | Yuliia Starodubtseva | UKR | 38.2% | 25 |
| 18 | Caty McNally | USA | 38.2% | 23 |
| 19 | Victoria Mboko | CAN | 38.1% | 29 |
| 20 | Katerina Siniakova | CZE | 37.9% | 29 |
| 21 | Viktorija Golubic | SUI | 37.7% | 18 |
| 22 | Marie Bouzkova | CZE | 37.5% | 28 |
| 23 | Jelena Ostapenko | LAT | 37.5% | 31 |
| 24 | Zeynep Sonmez | TUR | 37.4% | 27 |
| 25 | Sorana Cirstea | ROU | 37.3% | 36 |
| 26 | McCartney Kessler | USA | 37.2% | 18 |
| 27 | Karolina Muchova | CZE | 37.1% | 43 |
| 28 | Diana Shnaider | — | 36.9% | 43 |
| 29 | Belinda Bencic | SUI | 36.8% | 32 |
| 30 | Madison Keys | USA | 36.8% | 39 |
| 31 | Alexandra Eala | PHI | 36.5% | 44 |
| 32 | Taylor Townsend | USA | 36.3% | 21 |
| 33 | Jessica Bouzas Maneiro | ESP | 36.3% | 17 |
| 34 | Naomi Osaka | JPN | 36.2% | 37 |
| 35 | Ashlyn Krueger | USA | 35.9% | 18 |
| 36 | Maya Joint | AUS | 35.9% | 17 |
| 37 | Kamilla Rakhimova | UZB | 35.9% | 21 |
| 38 | Hailey Baptiste | USA | 35.8% | 22 |
| 39 | Elena Gabriela Ruse | ROU | 35.7% | 23 |
| 40 | Dayana Yastremska | UKR | 35.7% | 20 |
| 41 | Anna Kalinskaya | — | 35.6% | 40 |
| 42 | Aryna Sabalenka | — | 35.5% | 54 |
| 43 | Elise Mertens | BEL | 35.4% | 39 |
| 44 | Nikola Bartunkova | CZE | 35.2% | 25 |
| 45 | Paula Badosa | ESP | 35.2% | 16 |
| 46 | Camila Osorio | COL | 35.2% | 21 |
| 47 | Anna Bondar | HUN | 35.1% | 21 |
| 48 | Tereza Valentova | CZE | 35.1% | 17 |
| 49 | Solana Sierra | ARG | 35.1% | 18 |
| 50 | Leylah Fernandez | CAN | 35.0% | 35 |
30 further qualified WTA players are outside the top 50; the full field is sortable in the WTA stat explorer on Stat Leaders.
First-serve return points won is total points won returning a first serve divided by total first serves faced, expressed as a percentage.
A player qualifies for this board with at least 15 singles matches in the 2026 pool and at least 15 of those matches carrying this statistic. The floor is half the busiest schedule on tour, capped at 15 — a flat 15 would leave the board empty until roughly April, when the pool has barely filled. The Matches column on every row is that player's own denominator, so a number taken over a thin sample is visible as one rather than hidden behind a rank. A tour section is withheld entirely below 25 qualified players.
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 — which is also why this page ranks a per-match or per-point RATE rather than a season total. A total drawn from a partial pool would be wrong in a way a rate is not.
Recorded wherever the match carries return splits, alongside the second-serve return board. In the 2026 pool this statistic is recorded for 2,958 of the 3,040 ATP matches (97%) and 2,922 of the 3,298 WTA matches (89%).
Ranks and values on this page are computed over the same pool, so the ordering and the numbers beside it always agree. Drop Shot is not the ATP or the WTA and these are not official tour statistics: they are aggregated from our own match feed, and where a match did not report a statistic it contributes nothing to either the numerator or the denominator.