Tennis · Data · Singles
Player statistical deep dive, Tennis 2026
Eight live leaderboards built from real per-point counts in the last week of ATP and WTA fixtures, plus the most-played rivalries at the top of the game and this week's biggest rank movers.
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40
Matches analysed
20
Top-of-game H2H pairs
172
Career meetings tracked
7d
Rolling window
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Section 1 · Service power
Aces per match
The serve-power leaderboard, who is putting unreturnable serves on the board most consistently.
| Player | Tour | Country | Aces | Matches | Aces / match |
|---|---|---|---|---|---|
| Patrick Kypson | ATP | USA | 19 | 1 | 19.0 |
| F. Comesana | ATP | - | 14 | 1 | 14.0 |
| M. Damm | ATP | - | 13 | 1 | 13.0 |
| T. Droguet | ATP | - | 13 | 1 | 13.0 |
| Cristian Garin | ATP | Chile | 12 | 1 | 12.0 |
| N. Basilashvili | ATP | - | 11 | 1 | 11.0 |
| C. Rodesch | ATP | - | 10 | 1 | 10.0 |
| Zizou Bergs | ATP | Belgium | 10 | 1 | 10.0 |
| Marin Cilic | ATP | Croatia | 9 | 1 | 9.0 |
| Tomas Machac | ATP | Czech Republic | 9 | 1 | 9.0 |
| Tatjana Maria | WTA | Germany | 9 | 1 | 9.0 |
| V. Gaubas | ATP | - | 8 | 1 | 8.0 |
| E. Nava | ATP | - | 8 | 1 | 8.0 |
| A. Charaeva | WTA | - | 8 | 1 | 8.0 |
| R. Sakamoto | ATP | - | 7 | 1 | 7.0 |
Behind the serve
Section 2a · 1st-serve %
Highest 1st-serve percentage
How often the first ball goes in. Above 70% is exceptional, above 60% is professional, sub-50% is in trouble.
| Player | Tour | 1st-serve in | % in |
|---|---|---|---|
| Laura Siegemund | WTA | 41/45 | 91.1% |
| I. Begu | WTA | 40/53 | 75.5% |
| E. Moller | ATP | 65/87 | 74.7% |
| Adrian Mannarino | ATP | 43/58 | 74.1% |
| Anna Bondar | WTA | 52/71 | 73.2% |
| K. Volynets | WTA | 76/106 | 71.7% |
| Mattia Bellucci | ATP | 37/52 | 71.2% |
| A. Kalinina | WTA | 71/100 | 71% |
| Viktorija Golubic | WTA | 36/51 | 70.6% |
| S. Stephens | WTA | 68/97 | 70.1% |
| Camila Osorio | WTA | 28/40 | 70% |
| V. Gaubas | ATP | 90/129 | 69.8% |
| E. Nava | ATP | 44/63 | 69.8% |
| Daria Snigur | WTA | 67/96 | 69.8% |
| Damir Dzumhur | ATP | 34/49 | 69.4% |
Section 2b · 1st-serve points won
Best behind the 1st serve (% won)
Of the points where the first serve goes in, how many do they win. The truest measure of serve quality.
| Player | Tour | Won/Total | % won |
|---|---|---|---|
| Patrick Kypson | ATP | 53/64 | 82.8% |
| Marin Cilic | ATP | 34/42 | 81% |
| R. Sakamoto | ATP | 64/80 | 80% |
| N. Basilashvili | ATP | 51/64 | 79.7% |
| Marco Trungelliti | ATP | 38/48 | 79.2% |
| Zizou Bergs | ATP | 37/48 | 77.1% |
| Cristian Garin | ATP | 47/61 | 77% |
| V. Gaubas | ATP | 69/90 | 76.7% |
| F. Comesana | ATP | 45/59 | 76.3% |
| M. Damm | ATP | 45/60 | 75% |
| E. Nava | ATP | 33/44 | 75% |
| Tomas Machac | ATP | 42/57 | 73.7% |
| D. Merida Aguilar | ATP | 36/49 | 73.5% |
| T. Droguet | ATP | 33/45 | 73.3% |
| E. Moller | ATP | 47/65 | 72.3% |
Section 2c · 2nd-serve points won
Best behind the 2nd serve (% won)
The 2nd serve is the variance reducer. Anything above 55% is elite, at the top of the men's game it separates Sinner / Alcaraz / Djokovic from everyone else.
| Player | Tour | Won/Total | % won |
|---|---|---|---|
| D. Galfi | WTA | 21/28 | 75% |
| K. Volynets | WTA | 20/30 | 66.7% |
| Marin Cilic | ATP | 25/38 | 65.8% |
| T. Droguet | ATP | 21/32 | 65.6% |
| P. Llamas Ruiz | ATP | 17/26 | 65.4% |
| V. Gaubas | ATP | 25/39 | 64.1% |
| D. Merida Aguilar | ATP | 16/25 | 64% |
| A. Charaeva | WTA | 22/35 | 62.9% |
| Patrick Kypson | ATP | 21/34 | 61.8% |
| C. Rodesch | ATP | 16/26 | 61.5% |
| Tomas Machac | ATP | 19/32 | 59.4% |
| A. Kalinina | WTA | 17/29 | 58.6% |
| N. Basilashvili | ATP | 28/48 | 58.3% |
| Cristian Garin | ATP | 18/31 | 58.1% |
| Zizou Bergs | ATP | 19/33 | 57.6% |
On the return
Section 3a · 1st-return points won
Best returner vs 1st serves
Almost no one wins more than ~30% of their first-return points across a season. The very best touch 33-35%, anything higher is a small-sample outlier.
| Player | Tour | Won/Total | % won |
|---|---|---|---|
| Tamara Korpatsch | WTA | 36/77 | 46.8% |
| Daria Snigur | WTA | 25/56 | 44.6% |
| A. Pavlyuchenkova | WTA | 28/63 | 44.4% |
| S. Stephens | WTA | 31/70 | 44.3% |
| E. Nava | ATP | 20/46 | 43.5% |
| P. Badosa | WTA | 26/60 | 43.3% |
| Liudmila Samsonova | WTA | 17/40 | 42.5% |
| K. Volynets | WTA | 34/81 | 42% |
| Hanne Vandewinkel | WTA | 28/67 | 41.8% |
| A. Kalinina | WTA | 28/67 | 41.8% |
| J. Grabher | WTA | 24/58 | 41.4% |
| D. Galfi | WTA | 24/58 | 41.4% |
| Panna Udvardy | WTA | 17/42 | 40.5% |
| E. Kalieva | WTA | 19/47 | 40.4% |
| Anna Blinkova | WTA | 23/58 | 39.7% |
Section 3b · 2nd-return points won
Best returner vs 2nd serves
Where breaks of serve are made. 55%+ is dominant returning.
| Player | Tour | Won/Total | % won |
|---|---|---|---|
| Jan-Lennard Struff | ATP | 20/26 | 76.9% |
| J. Grabher | WTA | 31/42 | 73.8% |
| K. Quevedo | WTA | 22/30 | 73.3% |
| E. Kalieva | WTA | 34/47 | 72.3% |
| Anna Blinkova | WTA | 27/38 | 71.1% |
| Yuliia Starodubtseva | WTA | 30/43 | 69.8% |
| Daniel Vallejo Adolfo | ATP | 19/28 | 67.9% |
| P. Badosa | WTA | 19/28 | 67.9% |
| L. Jeanjean | WTA | 21/33 | 63.6% |
| Daria Snigur | WTA | 19/30 | 63.3% |
| J. De Jong | ATP | 28/45 | 62.2% |
| Rafael Jodar | ATP | 28/47 | 59.6% |
| D. Merida Aguilar | ATP | 16/27 | 59.3% |
| D. Galfi | WTA | 25/43 | 58.1% |
| Alejandro Tabilo | ATP | 15/26 | 57.7% |
Pressure-point clutch
Section 4a · Composure
Break points saved % (under pressure)
When the opponent earns a break point, how often does the server escape. Composure metric, minimum 6 break points faced.
| Player | Tour | Saved | Save % |
|---|---|---|---|
| E. Moller | ATP | 6/6 | 100% |
| P. Llamas Ruiz | ATP | 6/7 | 85.7% |
| Marco Trungelliti | ATP | 5/6 | 83.3% |
| A. Charaeva | WTA | 8/10 | 80% |
| Anna Bondar | WTA | 7/9 | 77.8% |
| D. Vidmanova | WTA | 14/19 | 73.7% |
| Cristian Garin | ATP | 5/7 | 71.4% |
| D. Galfi | WTA | 5/7 | 71.4% |
| Panna Udvardy | WTA | 10/15 | 66.7% |
| R. Masarova | WTA | 8/12 | 66.7% |
| L. Jeanjean | WTA | 6/9 | 66.7% |
| Zizou Bergs | ATP | 4/6 | 66.7% |
| Jan-Lennard Struff | ATP | 4/6 | 66.7% |
| Hanne Vandewinkel | WTA | 11/17 | 64.7% |
| T. C. Grant | WTA | 7/11 | 63.6% |
Section 4b · Killer instinct
Break points converted % (return pressure)
When the player earns a break point, how often do they take it. Killer-instinct metric, minimum 6 break points won.
| Player | Tour | Converted | Conv % |
|---|---|---|---|
| B. Bonzi | ATP | 5/6 | 83.3% |
| Petra Marcinko | WTA | 5/6 | 83.3% |
| Anna Blinkova | WTA | 8/11 | 72.7% |
| Camila Osorio | WTA | 5/7 | 71.4% |
| Tamara Korpatsch | WTA | 5/7 | 71.4% |
| N. Budkov Kjaer | ATP | 6/9 | 66.7% |
| Peyton Stearns | WTA | 4/6 | 66.7% |
| P. Badosa | WTA | 7/11 | 63.6% |
| Anna Bondar | WTA | 5/8 | 62.5% |
| Jessica Bouzas Maneiro | WTA | 5/8 | 62.5% |
| A. Charaeva | WTA | 4/7 | 57.1% |
| J. Grabher | WTA | 9/16 | 56.2% |
| E. Kalieva | WTA | 9/16 | 56.2% |
| A. Kalinina | WTA | 5/9 | 55.6% |
| Laura Siegemund | WTA | 6/11 | 54.5% |
Big-match temperament (last 7 days)
Four pressure-cooker leaderboards built from match-level outcomes in the rolling 7-day window: who survives tiebreaks, who wins deciders, who comes back from a set down, and who hands out the most bagels and breadsticks.
Section 5a · Tiebreak kings
Highest tiebreak win %
Tiebreaks compress the entire match into seven points. Min 2 tiebreaks played in window.
No qualifying tiebreaks in this window.
Section 5b · Decider warriors
Win % when matches go the distance
In a best-of-3 a deciding set is a third set; in a best-of-5 it's a fourth or fifth. Pure nerve. Min 2 deciders played.
No qualifying deciders in this window.
Section 5c · Comeback wins
Most matches won after losing the first set
Counts wins where the player dropped the opening set. The grind metric.
No comeback wins in this window.
Section 5d · Bagel & breadstick tracker
Set-level dominance, 6-0s and 6-1s served up
A 'bagel' is a 6-0 set won; a 'breadstick' is a 6-1. Bagels given is how many your opponent left the court with against you.
No 6-0 / 6-1 sets in this window.
Section 6 · Rivalries
Top-of-game H2H network
All 10 ATP top-5 vs ATP top-5 and 10 WTA top-5 vs WTA top-5 head-to-head ledgers, sorted by all-time meetings (most-played first). Click through for the full rivalry breakdown.
| Rivalry | Tour | Record | Career meetings | |
|---|---|---|---|---|
| Jannik Sinner vs Carlos Alcaraz #1 · #2 |
ATP | Jannik Sinner 5 - 5 Carlos Alcaraz | 10 | View → |
| Alexander Zverev vs Jannik Sinner #3 · #1 |
ATP | Alexander Zverev 2 - 8 Jannik Sinner | 10 | View → |
| Novak Djokovic vs Jannik Sinner #4 · #1 |
ATP | Novak Djokovic 2 - 8 Jannik Sinner | 10 | View → |
| Alexander Zverev vs Carlos Alcaraz #3 · #2 |
ATP | Alexander Zverev 4 - 6 Carlos Alcaraz | 10 | View → |
| Novak Djokovic vs Carlos Alcaraz #4 · #2 |
ATP | Novak Djokovic 5 - 5 Carlos Alcaraz | 10 | View → |
| Alexander Zverev vs Felix Auger-Aliassime #3 · #5 |
ATP | Alexander Zverev 5 - 5 Felix Auger-Aliassime | 10 | View → |
| Aryna Sabalenka vs Elena Rybakina #1 · #2 |
WTA | Aryna Sabalenka 6 - 4 Elena Rybakina | 10 | View → |
| Aryna Sabalenka vs Coco Gauff #1 · #3 |
WTA | Aryna Sabalenka 6 - 4 Coco Gauff | 10 | View → |
| Iga Swiatek vs Aryna Sabalenka #4 · #1 |
WTA | Iga Swiatek 5 - 5 Aryna Sabalenka | 10 | |
| Iga Swiatek vs Elena Rybakina #4 · #2 |
WTA | Iga Swiatek 7 - 3 Elena Rybakina | 10 | |
| Iga Swiatek vs Coco Gauff #4 · #3 |
WTA | Iga Swiatek 5 - 5 Coco Gauff | 10 | |
| Iga Swiatek vs Jessica Pegula #4 · #5 |
WTA | Iga Swiatek 6 - 4 Jessica Pegula | 10 | |
| Aryna Sabalenka vs Jessica Pegula #1 · #5 |
WTA | Aryna Sabalenka 7 - 2 Jessica Pegula | 9 | View → |
| Jessica Pegula vs Elena Rybakina #5 · #2 |
WTA | Jessica Pegula 3 - 6 Elena Rybakina | 9 | View → |
| Jessica Pegula vs Coco Gauff #5 · #3 |
WTA | Jessica Pegula 6 - 3 Coco Gauff | 9 | View → |
| Jannik Sinner vs Felix Auger-Aliassime #1 · #5 |
ATP | Jannik Sinner 5 - 2 Felix Auger-Aliassime | 7 | View → |
| Felix Auger-Aliassime vs Carlos Alcaraz #5 · #2 |
ATP | Felix Auger-Aliassime 2 - 5 Carlos Alcaraz | 7 | View → |
| Novak Djokovic vs Alexander Zverev #4 · #3 |
ATP | Novak Djokovic 4 - 3 Alexander Zverev | 7 | View → |
| Novak Djokovic vs Felix Auger-Aliassime #4 · #5 |
ATP | Novak Djokovic 2 - 1 Felix Auger-Aliassime | 3 | View → |
| Elena Rybakina vs Coco Gauff #2 · #3 |
WTA | Elena Rybakina 0 - 1 Coco Gauff | 1 | View → |
Weekly rank movement
ATP · climbing
ATP climbers (this week)
| Player | Country | Rank | Points |
|---|---|---|---|
| Taylor Fritz | USA | #7 | 3,870 |
| Andrey Rublev | Neutral | #12 | 2,630 |
| Flavio Cobolli | Italy | #13 | 2,600 |
| Frances Tiafoe | USA | #19 | 1,965 |
| Learner Tien | USA | #21 | 1,885 |
| Cameron Norrie | United Kingdom | #23 | 1,868 |
| Arthur Fils | France | #25 | 1,740 |
| Corentin Moutet | France | #30 | 1,433 |
| Joao Fonseca | Brazil | #31 | 1,415 |
| Brandon Nakashima | USA | #32 | 1,385 |
ATP · sliding
ATP fallers (this week)
| Player | Country | Rank | Points |
|---|---|---|---|
| Alex De Minaur | Australia | #8 | 3,845 |
| Jiri Lehecka | Czech Republic | #14 | 2,540 |
| Casper Ruud | Norway | #15 | 2,535 |
| Karen Khachanov | Neutral | #16 | 2,220 |
| Francisco Cerundolo | Argentina | #20 | 1,920 |
| Luciano Darderi | Italy | #22 | 1,870 |
| Alejandro Davidovich Fokina | Spain | #24 | 1,820 |
| Jakub Mensik | Czech Republic | #27 | 1,700 |
| Tallon Griekspoor | Netherlands | #33 | 1,340 |
| Alex Michelsen | USA | #37 | 1,200 |
WTA · climbing
WTA climbers (this week)
| Player | Country | Rank | Points |
|---|---|---|---|
| Jasmine Paolini | Italy | #9 | 3,722 |
| Belinda Bencic | Switzerland | #12 | 3,090 |
| Ekaterina Alexandrova | Neutral | #14 | 2,789 |
| Elise Mertens | Belgium | #21 | 1,858 |
| Emma Navarro | USA | #28 | 1,442 |
| Sara Bejlek | Czech Republic | #35 | 1,380 |
| Jelena Ostapenko | Latvia | #40 | 1,314 |
| Lois Boisson | France | #46 | 1,259 |
| Jessica Bouzas Maneiro | Spain | #50 | 1,186 |
| Tereza Valentova | Czech Republic | #51 | 1,161 |
WTA · sliding
WTA fallers (this week)
| Player | Country | Rank | Points |
|---|---|---|---|
| Mirra Andreeva | Neutral | #8 | 3,746 |
| Karolina Muchova | Czech Republic | #11 | 3,318 |
| Linda Noskova | Czech Republic | #13 | 2,849 |
| Liudmila Samsonova | Neutral | #20 | 1,895 |
| Anna Kalinskaya | Neutral | #22 | 1,813 |
| Marta Kostyuk | Ukraine | #23 | 1,722 |
| Emma Raducanu | United Kingdom | #27 | 1,465 |
| Maya Joint | Australia | #29 | 1,435 |
| Cristina Bucsa | Spain | #30 | 1,426 |
| Xinyu Wang | China | #31 | 1,401 |
Caveats
Reading these numbers
- The window covers a single tournament cycle (~1 week). Strong serve numbers from a player who has only played at altitude in Madrid will look gaudier than they would on grass at Queen's.
- Match-quality is uneven: a player thrashing qualifiers in early rounds pads their averages.
- Surface-specific splits would require a longer window, we are deliberately conservative because the API plan only retains a rolling few weeks of fixture statistics.
- Doubles is excluded, these are singles-only metrics. See the ATP and WTA doubles rankings for team form.
- The page is regenerated every build from the live api-tennis.com feed.