Return points won is the share of points a player wins when the opponent is serving — first and second serve combined. It is the mirror of service points won and the half of the game that decides who breaks.
Returning is where the two tours differ most: the WTA numbers here sit well above the ATP ones because the serve is a smaller weapon in the women's game, so read each tour against its own field rather than across. Within a tour, this is the most reliable single indicator of a player who wins matches without a big serve.
Carlos Alcaraz leads the ATP with 42.0% of return points won in 2026, measured over 30 qualifying matches — the most of any qualified ATP player this season. Daniil Medvedev (41.0%) and Jannik Sinner (40.7%) are next. 89 ATP players qualify, and the median of that field is 35.8%.
| # | Player | Country | Return pts won % | Matches |
|---|---|---|---|---|
| 1 | Carlos Alcaraz | ESP | 42.0% | 30 |
| 2 | Daniil Medvedev | — | 41.0% | 41 |
| 3 | Jannik Sinner | ITA | 40.7% | 47 |
| 4 | Lorenzo Musetti | ITA | 40.6% | 26 |
| 5 | Francisco Cerundolo | ARG | 40.4% | 37 |
| 6 | Alex De Minaur | AUS | 39.9% | 43 |
| 7 | Rafael Jodar | ESP | 39.9% | 44 |
| 8 | Learner Tien | USA | 39.2% | 34 |
| 9 | Daniel Merida Aguilar | ESP | 38.6% | 19 |
| 10 | Corentin Moutet | FRA | 38.4% | 20 |
| 11 | Tommy Paul | USA | 37.8% | 43 |
| 12 | Pablo Carreno Busta | ESP | 37.7% | 17 |
| 13 | Martin Landaluce | ESP | 37.7% | 20 |
| 14 | Damir Dzumhur | BIH | 37.6% | 16 |
| 15 | Arthur Fils | FRA | 37.5% | 40 |
| 16 | Mariano Navone | ARG | 37.5% | 21 |
| 17 | Ignacio Buse | PER | 37.4% | 23 |
| 18 | Alexander Zverev | GER | 37.3% | 63 |
| 19 | Alex Michelsen | USA | 37.2% | 32 |
| 20 | Matteo Arnaldi | ITA | 37.2% | 19 |
| 21 | Botic Van De Zandschulp | NED | 37.2% | 29 |
| 22 | Denis Shapovalov | CAN | 37.2% | 27 |
| 23 | Luciano Darderi | ITA | 37.1% | 32 |
| 24 | Andrey Rublev | — | 37.0% | 35 |
| 25 | Vit Kopriva | CZE | 37.0% | 25 |
| 26 | Karen Khachanov | — | 36.9% | 37 |
| 27 | Flavio Cobolli | ITA | 36.8% | 44 |
| 28 | Casper Ruud | NOR | 36.8% | 31 |
| 29 | Arthur Fery | GBR | 36.6% | 16 |
| 30 | Sebastian Baez | ARG | 36.6% | 19 |
| 31 | Jaume Munar | ESP | 36.6% | 16 |
| 32 | Frances Tiafoe | USA | 36.5% | 49 |
| 33 | Jakub Mensik | CZE | 36.5% | 41 |
| 34 | Valentin Vacherot | MON | 36.4% | 24 |
| 35 | Alejandro Davidovich Fokina | ESP | 36.4% | 27 |
| 36 | Michael Zheng | USA | 36.2% | 15 |
| 37 | Felix Auger-Aliassime | CAN | 36.1% | 41 |
| 38 | Joao Fonseca | BRA | 36.1% | 30 |
| 39 | Cameron Norrie | GBR | 36.1% | 29 |
| 40 | Jaime Faria | POR | 36.1% | 19 |
| 41 | Thiago Agustin Tirante | ARG | 36.0% | 28 |
| 42 | Rinky Hijikata | AUS | 36.0% | 18 |
| 43 | Jiri Lehecka | CZE | 35.9% | 39 |
| 44 | Novak Djokovic | SRB | 35.8% | 21 |
| 45 | Tomas Machac | CZE | 35.8% | 17 |
| 46 | Zizou Bergs | BEL | 35.5% | 28 |
| 47 | Quentin Halys | FRA | 35.5% | 21 |
| 48 | Juan Manuel Cerundolo | ARG | 35.5% | 21 |
| 49 | Kamil Majchrzak | POL | 35.5% | 20 |
| 50 | Brandon Nakashima | USA | 35.4% | 41 |
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 48.8% of return points won in 2026, measured over 44 qualifying matches — the most of any qualified WTA player this season. Anastasia Potapova (47.4%) and Coco Gauff (47.3%) are next. 80 WTA players qualify, and the median of that field is 43.2%.
| # | Player | Country | Return pts won % | Matches |
|---|---|---|---|---|
| 1 | Iga Swiatek | POL | 48.8% | 44 |
| 2 | Anastasia Potapova | AUT | 47.4% | 34 |
| 3 | Coco Gauff | USA | 47.3% | 56 |
| 4 | Mirra Andreeva | — | 47.0% | 58 |
| 5 | Elina Svitolina | UKR | 47.0% | 51 |
| 6 | Maja Chwalinska | POL | 46.6% | 17 |
| 7 | Marta Kostyuk | UKR | 46.4% | 40 |
| 8 | Amanda Anisimova | USA | 46.3% | 33 |
| 9 | Iva Jovic | USA | 46.1% | 42 |
| 10 | Viktorija Golubic | SUI | 45.9% | 18 |
| 11 | Kamilla Rakhimova | UZB | 45.9% | 21 |
| 12 | Belinda Bencic | SUI | 45.8% | 32 |
| 13 | Daria Kasatkina | AUS | 45.7% | 20 |
| 14 | Jessica Pegula | USA | 45.3% | 63 |
| 15 | Zeynep Sonmez | TUR | 45.3% | 27 |
| 16 | Jessica Bouzas Maneiro | ESP | 45.3% | 17 |
| 17 | Magdalena Frech | POL | 44.9% | 32 |
| 18 | Jelena Ostapenko | LAT | 44.8% | 31 |
| 19 | Oleksandra Oliynykova | UKR | 44.8% | 21 |
| 20 | Yuliia Starodubtseva | UKR | 44.7% | 25 |
| 21 | Alexandra Eala | PHI | 44.5% | 44 |
| 22 | Aryna Sabalenka | — | 44.4% | 54 |
| 23 | Caty McNally | USA | 44.4% | 23 |
| 24 | Sorana Cirstea | ROU | 44.2% | 36 |
| 25 | Jasmine Paolini | ITA | 44.2% | 28 |
| 26 | Marie Bouzkova | CZE | 44.1% | 28 |
| 27 | Sara Bejlek | CZE | 44.1% | 22 |
| 28 | Elena Gabriela Ruse | ROU | 44.1% | 23 |
| 29 | Diana Shnaider | — | 43.9% | 43 |
| 30 | Cristina Bucsa | ESP | 43.9% | 25 |
| 31 | Elise Mertens | BEL | 43.8% | 39 |
| 32 | Victoria Mboko | CAN | 43.7% | 29 |
| 33 | McCartney Kessler | USA | 43.7% | 18 |
| 34 | Katerina Siniakova | CZE | 43.6% | 29 |
| 35 | Anna Bondar | HUN | 43.4% | 21 |
| 36 | Anna Kalinskaya | — | 43.3% | 40 |
| 37 | Madison Keys | USA | 43.3% | 39 |
| 38 | Camila Osorio | COL | 43.3% | 21 |
| 39 | Maya Joint | AUS | 43.3% | 17 |
| 40 | Nikola Bartunkova | CZE | 43.2% | 25 |
| 41 | Tereza Valentova | CZE | 43.2% | 17 |
| 42 | Karolina Muchova | CZE | 43.0% | 43 |
| 43 | Naomi Osaka | JPN | 42.8% | 37 |
| 44 | Peyton Stearns | USA | 42.6% | 27 |
| 45 | Solana Sierra | ARG | 42.6% | 18 |
| 46 | Elena Rybakina | KAZ | 42.3% | 61 |
| 47 | Leylah Fernandez | CAN | 42.1% | 35 |
| 48 | Ashlyn Krueger | USA | 42.1% | 18 |
| 49 | Yulia Putintseva | KAZ | 42.1% | 21 |
| 50 | Eva Lys | GER | 42.1% | 17 |
30 further qualified WTA players are outside the top 50; the full field is sortable in the WTA stat explorer on Stat Leaders.
Return points won is total points won on return divided by total points received, 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.
Return splits come from the same per-match statistics block as the serve splits, seen from the other side of the net. 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.