Break points saved is the other side of the same coin: of the break points a player faced on their own serve, how many did they survive.
This is the closest thing tennis has to a clutch statistic, and it should be read carefully. A player who faces very few break points can post a mediocre save rate and still be almost unbreakable, while a player who faces them constantly can lead this board and still lose serve often. The faced count on every row is what makes the number readable.
Alexander Blockx leads the ATP with 72.3% of break points saved in 2026, measured over 22 qualifying matches — the most of any qualified ATP player this season. Jannik Sinner (71.5%) and Hamad Medjedovic (70.6%) are next. 79 ATP players qualify, and the median of that field is 62.2%.
| # | Player | Country | BP saved % | Matches |
|---|---|---|---|---|
| 1 | Alexander Blockx | BEL | 72.3% | 22 |
| 2 | Jannik Sinner | ITA | 71.5% | 43 |
| 3 | Hamad Medjedovic | SRB | 70.6% | 19 |
| 4 | Novak Djokovic | SRB | 70.5% | 21 |
| 5 | Karen Khachanov | — | 70.1% | 34 |
| 6 | Ben Shelton | USA | 69.7% | 42 |
| 7 | Arthur Fils | FRA | 69.4% | 37 |
| 8 | Joao Fonseca | BRA | 69.3% | 26 |
| 9 | Taylor Fritz | USA | 68.7% | 37 |
| 10 | Casper Ruud | NOR | 68.7% | 28 |
| 11 | Carlos Alcaraz | ESP | 68.6% | 27 |
| 12 | Quentin Halys | FRA | 67.8% | 19 |
| 13 | James Duckworth | AUS | 67.8% | 15 |
| 14 | Nuno Borges | POR | 67.7% | 25 |
| 15 | Hubert Hurkacz | POL | 67.6% | 23 |
| 16 | Andrey Rublev | — | 67.4% | 32 |
| 17 | Arthur Rinderknech | FRA | 66.9% | 23 |
| 18 | Alejandro Davidovich Fokina | ESP | 66.7% | 25 |
| 19 | Alex Michelsen | USA | 66.7% | 28 |
| 20 | Miomir Kecmanovic | SRB | 66.5% | 21 |
| 21 | Alex De Minaur | AUS | 66.3% | 40 |
| 22 | Frances Tiafoe | USA | 66.1% | 48 |
| 23 | Matteo Berrettini | ITA | 65.9% | 22 |
| 24 | Cameron Norrie | GBR | 65.7% | 24 |
| 25 | Tommy Paul | USA | 65.5% | 40 |
| 26 | Martin Landaluce | ESP | 65.5% | 17 |
| 27 | Jiri Lehecka | CZE | 65.3% | 34 |
| 28 | Felix Auger-Aliassime | CAN | 65.1% | 39 |
| 29 | Alexander Bublik | KAZ | 64.2% | 25 |
| 30 | Mariano Navone | ARG | 64.1% | 17 |
| 31 | Valentin Vacherot | MON | 64.0% | 21 |
| 32 | Brandon Nakashima | USA | 63.9% | 39 |
| 33 | Jan-Lennard Struff | GER | 63.9% | 20 |
| 34 | Lorenzo Musetti | ITA | 63.8% | 24 |
| 35 | Mattia Bellucci | ITA | 63.6% | 17 |
| 36 | Terence Atmane | FRA | 63.6% | 26 |
| 37 | Sebastian Baez | ARG | 63.2% | 15 |
| 38 | Thiago Agustin Tirante | ARG | 63.2% | 23 |
| 39 | Flavio Cobolli | ITA | 62.3% | 41 |
| 40 | Ugo Humbert | FRA | 62.2% | 28 |
| 41 | Michael Zheng | USA | 62.1% | 15 |
| 42 | Juan Manuel Cerundolo | ARG | 62.0% | 18 |
| 43 | Rafael Jodar | ESP | 61.6% | 38 |
| 44 | Denis Shapovalov | CAN | 61.6% | 24 |
| 45 | Alexander Zverev | GER | 61.0% | 61 |
| 46 | Tallon Griekspoor | NED | 61.0% | 18 |
| 47 | Alejandro Tabilo | CHI | 60.9% | 28 |
| 48 | Marton Fucsovics | HUN | 60.5% | 17 |
| 49 | Dino Prizmic | CRO | 60.2% | 15 |
| 50 | Aleksandar Kovacevic | USA | 60.0% | 20 |
29 further qualified ATP players are outside the top 50; the full field is sortable in the ATP stat explorer on Stat Leaders.
Elena Rybakina leads the WTA with 65.6% of break points saved in 2026, measured over 59 qualifying matches — the most of any qualified WTA player this season. Linda Noskova (63.5%) and Maya Joint (63.2%) are next. 75 WTA players qualify, and the median of that field is 56.3%.
| # | Player | Country | BP saved % | Matches |
|---|---|---|---|---|
| 1 | Elena Rybakina | KAZ | 65.6% | 59 |
| 2 | Linda Noskova | CZE | 63.5% | 43 |
| 3 | Maya Joint | AUS | 63.2% | 17 |
| 4 | Diane Parry | FRA | 62.4% | 25 |
| 5 | Qinwen Zheng | CHN | 62.4% | 20 |
| 6 | Leylah Fernandez | CAN | 62.2% | 32 |
| 7 | Aryna Sabalenka | — | 62.0% | 51 |
| 8 | Karolina Muchova | CZE | 62.0% | 40 |
| 9 | Marta Kostyuk | UKR | 62.0% | 38 |
| 10 | Elina Svitolina | UKR | 61.3% | 49 |
| 11 | Taylor Townsend | USA | 61.2% | 18 |
| 12 | Iga Swiatek | POL | 61.1% | 41 |
| 13 | Madison Keys | USA | 61.0% | 38 |
| 14 | Hailey Baptiste | USA | 61.0% | 18 |
| 15 | Katerina Siniakova | CZE | 60.3% | 25 |
| 16 | Maria Sakkari | GRE | 59.8% | 26 |
| 17 | Ashlyn Krueger | USA | 59.8% | 16 |
| 18 | Emma Navarro | USA | 59.0% | 31 |
| 19 | Mirra Andreeva | — | 58.7% | 53 |
| 20 | Camila Osorio | COL | 58.7% | 17 |
| 21 | Jessica Pegula | USA | 58.6% | 60 |
| 22 | Jasmine Paolini | ITA | 58.4% | 25 |
| 23 | Clara Tauson | DEN | 58.3% | 27 |
| 24 | Naomi Osaka | JPN | 58.2% | 34 |
| 25 | Maja Chwalinska | POL | 58.0% | 17 |
| 26 | Marie Bouzkova | CZE | 57.9% | 25 |
| 27 | Shuai Zhang | CHN | 57.9% | 22 |
| 28 | Amanda Anisimova | USA | 57.7% | 31 |
| 29 | Anastasia Potapova | AUT | 57.7% | 33 |
| 30 | Elise Mertens | BEL | 57.6% | 35 |
| 31 | Solana Sierra | ARG | 57.5% | 15 |
| 32 | Donna Vekic | CRO | 57.1% | 21 |
| 33 | Alycia Parks | USA | 57.1% | 23 |
| 34 | Ann Li | USA | 57.0% | 27 |
| 35 | Caty McNally | USA | 56.7% | 19 |
| 36 | Iva Jovic | USA | 56.5% | 39 |
| 37 | McCartney Kessler | USA | 56.4% | 17 |
| 38 | Elena Gabriela Ruse | ROU | 56.3% | 19 |
| 39 | Anna Bondar | HUN | 56.3% | 17 |
| 40 | Belinda Bencic | SUI | 55.9% | 27 |
| 41 | Xinyu Wang | CHN | 55.7% | 26 |
| 42 | Yuliia Starodubtseva | UKR | 55.7% | 20 |
| 43 | Talia Gibson | AUS | 55.5% | 24 |
| 44 | Ekaterina Alexandrova | — | 55.2% | 33 |
| 45 | Liudmila Samsonova | — | 54.9% | 34 |
| 46 | Coco Gauff | USA | 54.8% | 54 |
| 47 | Elisabetta Cocciaretto | ITA | 54.7% | 16 |
| 48 | Diana Shnaider | — | 54.2% | 39 |
| 49 | Magdalena Frech | POL | 53.8% | 31 |
| 50 | Karolina Pliskova | CZE | 53.8% | 22 |
25 further qualified WTA players are outside the top 50; the full field is sortable in the WTA stat explorer on Stat Leaders.
Break points saved is total break points saved divided by total break points 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.
This board's denominator is break points FACED, which is the one denominator a dominant server can be short of: a match in which nobody took them to break point contributes nothing here, so the faced count beside each value matters more than on the serve boards. In the 2026 pool this statistic is recorded for 2,622 of the 3,040 ATP matches (86%) and 2,648 of the 3,298 WTA matches (80%).
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.