Break-point conversion is how often a player takes the chances they create: break points won as a share of break points earned.
Conversion rate is noisier than the rate boards above, because a season's break points number in the hundreds rather than the thousands, and a player who creates very few chances can post a high rate on a small sample. That is why the qualification floor matters here more than anywhere else, and why the opportunity count travels with every row.
Ignacio Buse leads the ATP with 48.9% of break points converted in 2026, measured over 20 qualifying matches — the most of any qualified ATP player this season. Sebastian Baez (45.5%) and Tommy Paul (45.2%) are next. 79 ATP players qualify, and the median of that field is 38.5%.
| # | Player | Country | BP converted % | Matches |
|---|---|---|---|---|
| 1 | Ignacio Buse | PER | 48.9% | 20 |
| 2 | Sebastian Baez | ARG | 45.5% | 15 |
| 3 | Tommy Paul | USA | 45.2% | 40 |
| 4 | Cameron Norrie | GBR | 44.4% | 24 |
| 5 | Felix Auger-Aliassime | CAN | 44.3% | 39 |
| 6 | Frances Tiafoe | USA | 44.3% | 48 |
| 7 | Alexei Popyrin | AUS | 44.3% | 18 |
| 8 | Daniil Medvedev | — | 44.1% | 39 |
| 9 | Learner Tien | USA | 43.6% | 32 |
| 10 | Michael Zheng | USA | 43.6% | 15 |
| 11 | Daniel Merida Aguilar | ESP | 43.3% | 17 |
| 12 | Alex De Minaur | AUS | 42.9% | 40 |
| 13 | Joao Fonseca | BRA | 42.9% | 26 |
| 14 | Vit Kopriva | CZE | 42.9% | 22 |
| 15 | Carlos Alcaraz | ESP | 42.1% | 27 |
| 16 | Rafael Jodar | ESP | 41.9% | 38 |
| 17 | Martin Landaluce | ESP | 41.7% | 17 |
| 18 | Karen Khachanov | — | 41.6% | 34 |
| 19 | Jenson Brooksby | USA | 41.3% | 19 |
| 20 | Arthur Fils | FRA | 40.9% | 37 |
| 21 | Brandon Nakashima | USA | 40.8% | 39 |
| 22 | Valentin Royer | FRA | 40.8% | 15 |
| 23 | Jannik Sinner | ITA | 40.7% | 43 |
| 24 | Alexander Zverev | GER | 40.7% | 61 |
| 25 | Matteo Berrettini | ITA | 40.7% | 22 |
| 26 | Casper Ruud | NOR | 40.4% | 28 |
| 27 | Marton Fucsovics | HUN | 40.4% | 17 |
| 28 | Terence Atmane | FRA | 40.2% | 26 |
| 29 | Flavio Cobolli | ITA | 40.1% | 41 |
| 30 | Lorenzo Musetti | ITA | 39.7% | 24 |
| 31 | Francisco Cerundolo | ARG | 39.3% | 34 |
| 32 | Alex Michelsen | USA | 39.3% | 28 |
| 33 | Alejandro Tabilo | CHI | 39.1% | 28 |
| 34 | Yannick Hanfmann | GER | 39.1% | 19 |
| 35 | Dino Prizmic | CRO | 38.9% | 15 |
| 36 | Denis Shapovalov | CAN | 38.8% | 24 |
| 37 | Zachary Svajda | USA | 38.8% | 20 |
| 38 | Novak Djokovic | SRB | 38.5% | 21 |
| 39 | Alejandro Davidovich Fokina | ESP | 38.5% | 25 |
| 40 | Botic Van De Zandschulp | NED | 38.5% | 27 |
| 41 | Adrian Mannarino | FRA | 38.5% | 17 |
| 42 | Mattia Bellucci | ITA | 38.3% | 17 |
| 43 | Andrey Rublev | — | 38.1% | 32 |
| 44 | Arthur Fery | GBR | 38.0% | 15 |
| 45 | Corentin Moutet | FRA | 38.0% | 17 |
| 46 | Alexander Bublik | KAZ | 37.9% | 25 |
| 47 | Matteo Arnaldi | ITA | 37.9% | 17 |
| 48 | Zizou Bergs | BEL | 37.8% | 24 |
| 49 | Juan Manuel Cerundolo | ARG | 37.8% | 18 |
| 50 | Rinky Hijikata | AUS | 37.8% | 18 |
29 further qualified ATP players are outside the top 50; the full field is sortable in the ATP stat explorer on Stat Leaders.
Kamilla Rakhimova leads the WTA with 54.8% of break points converted in 2026, measured over 18 qualifying matches — the most of any qualified WTA player this season. Maja Chwalinska (53.8%) and Anastasia Potapova (53.7%) are next. 75 WTA players qualify, and the median of that field is 44.5%.
| # | Player | Country | BP converted % | Matches |
|---|---|---|---|---|
| 1 | Kamilla Rakhimova | UZB | 54.8% | 18 |
| 2 | Maja Chwalinska | POL | 53.8% | 17 |
| 3 | Anastasia Potapova | AUT | 53.7% | 33 |
| 4 | Jessica Bouzas Maneiro | ESP | 53.4% | 15 |
| 5 | Elina Svitolina | UKR | 52.4% | 49 |
| 6 | Jelena Ostapenko | LAT | 51.6% | 28 |
| 7 | Iga Swiatek | POL | 51.0% | 41 |
| 8 | Belinda Bencic | SUI | 50.9% | 27 |
| 9 | Mirra Andreeva | — | 50.6% | 53 |
| 10 | Amanda Anisimova | USA | 50.4% | 31 |
| 11 | Oleksandra Oliynykova | UKR | 49.3% | 20 |
| 12 | Karolina Pliskova | CZE | 49.3% | 22 |
| 13 | Kimberly Birrell | AUS | 49.1% | 16 |
| 14 | Maya Joint | AUS | 48.8% | 17 |
| 15 | Elise Mertens | BEL | 48.5% | 36 |
| 16 | Iva Jovic | USA | 48.1% | 39 |
| 17 | Daria Kasatkina | AUS | 47.9% | 19 |
| 18 | Caty McNally | USA | 47.7% | 19 |
| 19 | Sorana Cirstea | ROU | 47.1% | 33 |
| 20 | Naomi Osaka | JPN | 47.1% | 34 |
| 21 | Camila Osorio | COL | 47.1% | 17 |
| 22 | Anna Kalinskaya | — | 46.9% | 38 |
| 23 | Maria Sakkari | GRE | 46.8% | 26 |
| 24 | Eva Lys | GER | 46.7% | 15 |
| 25 | Marta Kostyuk | UKR | 46.5% | 38 |
| 26 | Diana Shnaider | — | 46.4% | 39 |
| 27 | Coco Gauff | USA | 46.3% | 54 |
| 28 | Nikola Bartunkova | CZE | 46.3% | 25 |
| 29 | Jasmine Paolini | ITA | 46.1% | 25 |
| 30 | Karolina Muchova | CZE | 45.8% | 40 |
| 31 | Aryna Sabalenka | — | 45.7% | 51 |
| 32 | Madison Keys | USA | 45.7% | 38 |
| 33 | Ashlyn Krueger | USA | 45.2% | 16 |
| 34 | Liudmila Samsonova | — | 45.1% | 34 |
| 35 | Viktorija Golubic | SUI | 45.1% | 16 |
| 36 | Victoria Mboko | CAN | 44.7% | 26 |
| 37 | Yuliia Starodubtseva | UKR | 44.7% | 20 |
| 38 | Magda Linette | POL | 44.5% | 18 |
| 39 | McCartney Kessler | USA | 44.3% | 17 |
| 40 | Linda Noskova | CZE | 44.2% | 43 |
| 41 | Zeynep Sonmez | TUR | 44.0% | 23 |
| 42 | Sara Bejlek | CZE | 43.8% | 21 |
| 43 | Elena Gabriela Ruse | ROU | 43.8% | 19 |
| 44 | Alexandra Eala | PHI | 43.5% | 40 |
| 45 | Clara Tauson | DEN | 43.4% | 27 |
| 46 | Magdalena Frech | POL | 43.4% | 31 |
| 47 | Cristina Bucsa | ESP | 43.3% | 23 |
| 48 | Talia Gibson | AUS | 43.2% | 24 |
| 49 | Xinyu Wang | CHN | 42.9% | 26 |
| 50 | Jessica Pegula | USA | 42.8% | 60 |
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 converted is total break points won divided by total break-point opportunities, 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 EARNED, so its coverage follows a player's own returning as much as the feed: a match in which they never reached break point contributes nothing here, and the feed's break-point splits run a little behind its serve splits to begin with. In the 2026 pool this statistic is recorded for 2,622 of the 3,040 ATP matches (86%) and 2,654 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.