Four players have won all four Slams since 2000: Federer, Nadal, Djokovic, and Alcaraz
A career Grand Slam means winning the Australian Open, Roland Garros, Wimbledon, and the US Open at least once each. In this data Federer got there first, completing the set at Roland Garros in 2009. Nadal followed at the US Open in 2010, and Djokovic at Roland Garros in 2016. The newest member is Alcaraz, who finished the set at the Australian Open in 2026 and now has 7 titles.
Others are close. Sinner has won three different Slams and still needs Roland Garros; Wawrinka has three and still needs Wimbledon. Murray has won two Slams and is missing the Australian Open and Roland Garros.
Slam titles by player, for players who have won at least two different Slams
Highlighted rows have won all four. Dashed circles are Slams not yet won. Andre Agassi completed his career Grand Slam at the 1999 French Open, before this data begins, so he is not counted here (a fact from outside the data).
Djokovic, Nadal, and Federer won 66 of the 107 Slam titles decided since 2000
Counting the winner of every Grand Slam final, Djokovic leads with 24 titles, then Nadal with 22, and Federer with 20. Together that is 61.7% of all 107 finals in the data. Only 23 different players have won a Slam in these 27 seasons.
Behind the top three the list drops off quickly. Alcaraz has 7 titles and Sinner has 5, and every other player has 3 or fewer. Titles won before 2000 are outside the data, so older stars such as Sampras and Agassi appear with only part of their careers.
Grand Slam titles, 2000–2026
Top 12 title winners. The three players with the most titles are highlighted.
Every Slam has a landlord: Nadal at Roland Garros, Federer at Wimbledon, and Djokovic in Melbourne
Roland Garros belongs to Nadal, who won 14 of the 27 finals played there. Federer won 8 Wimbledon titles, Djokovic won 10 Australian Opens, and the US Open is the most open of the four: Federer leads it with only 5.
Nadal's Roland Garros record is the number that stands out most: 109 wins and 4 losses in 113 recorded matches, a win rate of 96.5%. The data is missing a few matches at every Slam, so the true record could differ slightly.
Who has won the most titles at each Slam
Top five champions at each tournament, 2000–2026.
The Big Three's grip peaked from 2005 to 2019, when they won 51 of 60 Slam titles
Before 2005 the Slams were wide open. From 2000 to 2004 Djokovic, Nadal, or Federer won 4 of 20 titles, and 12 different players won at least one. Then the grip closed: across 2005 to 2019 the three won 51 of 60 titles (85%), and in 2005–09 only 5 different players won a Slam at all.
The 2020s look different. In 2020–2026 the Big Three took 11 of 27 titles, Alcaraz and Sinner took 12 between them, and the other 4 went to other players. The grid shows every champion, year by year.
Every Grand Slam champion, 2000–2026
Wimbledon was cancelled in 2020, and the 2026 US Open had not been played when the data ends.
In best-of-five matches Djokovic wins 88.5% of the time, just ahead of Nadal and Alcaraz
Almost every best-of-five match is a Grand Slam match (99.3% of the 12,947 in the data), so this ranking is really a Slam ranking. Among players with at least 50 best-of-five matches, Djokovic leads at 88.5% across 445 matches. Nadal is at 88.1% and Alcaraz at 87.8%.
Alcaraz's figure rests on only 98 matches, while the two players ahead of him have 353 or more, so his number is the least certain of the three.
Win rate in best-of-five matches
167 players have at least 50 best-of-five matches. Top 12 shown. Win rate = wins ÷ matches.
In best-of-three matches Federer edges Djokovic, 81.3% to 81.2%
Best-of-three is the format of the regular tour, so these records rest on far more matches, 957 for Federer alone. Among players with at least 200 best-of-three matches, Federer wins 81.3%, Djokovic wins 81.2%, and Nadal wins 80.7%.
The gap between first and third place is less than one percentage point, and the top three are the same three players who dominate the Slam titles. Best-of-three win rates are lower for everyone else, which is why the chart's axis starts at 60%.
Win rate in best-of-three matches
192 players have at least 200 best-of-three matches. Top 12 shown.
Some players are built for five sets: Schalken wins 13.6 percentage points more often in best-of-five
For each of the 166 players with at least 50 best-of-five and 100 best-of-three matches, the chart compares the two win rates. A dot above the dashed line means the player wins more often over five sets. Schalken climbs from 54.3% in best-of-three to 67.9% in best-of-five, and Ferreira and Khachanov gain 12.8 and 12.1 points. Slam champions Safin and Wawrinka are also among the seven biggest gainers.
It is not a general rule. 87 of the 166 players win more often in best-of-five and 79 win less often, with a median difference of +0.6 points. Five sets punish some players: Duckworth falls from 43.3% to 24.1%, and Monaco from 58.2% to 41.1%.
Best-of-three win rate against best-of-five win rate
Each dot is a player. Sage dots win more often over five sets, pink dots less often. Hover a dot for details.
Djokovic's 30-match Slam winning streak is the longest in the data, ahead of Nadal (28) and Federer (27)
A streak counts the Grand Slam matches a player wins in a row, across tournaments, until the next loss. Djokovic's 30 ran from Wimbledon 2015 to Wimbledon 2016. Nadal won 28 in a row from Australian Open 2010 to Australian Open 2011, and Federer won 27 from Wimbledon 2006 to French Open 2007.
The best run by either of the two newest champions is Sinner's 20, from US Open 2024 to French Open 2025. He is on a new run of 7 as of September 13, 2026.
Longest Grand Slam winning streaks
Consecutive Grand Slam match wins. Top 10 players. Streaks use only the matches recorded in the file, and about 5.3% of Slam matches are missing (see About the data), so a streak could be a match or two longer or shorter in real life.
Murray lost 8 of his 11 Slam finals, while Alcaraz has lost just 1 of 8
Reaching a final is one skill and winning it is another. Alcaraz has won 7 of 8 finals (88%), Nadal 22 of 30 (73%), Federer 20 of 31 (65%), and Djokovic 24 of 38 (63%). Djokovic has played the most finals and also lost the most, 14.
Others came close and fell short. Murray won 3 of 11 (27%), and Medvedev won 1 of 6 (17%).
Grand Slam finals reached, won, and lost
The ten players who have reached the most finals. Conversion rate = titles ÷ finals.
The higher-ranked player wins 65.3% of matches, and the edge grows with the ranking gap
Every match lists both players' ATP rankings, where 1 is the best. In the 68,610 matches with two different listed rankings, the better-ranked player won 65.3% of the time. The edge grows with the gap: 54.8% when the players are 1–9 places apart, and 76.9% when they are 200 or more places apart.
The favorite's edge is larger at Grand Slams, 71.5% against 63.9% at all other events, and that holds at every gap size. Slam champions were ranked 4.8 on average on the day of the final, and 99 of the 107 were in the top ten.
Win rate of the higher-ranked player, by ranking gap
The gap is the difference between the two players' ranking numbers. Bars start at 50%, which is a coin flip. Win rate = wins ÷ matches.
Hard courts have decided the most Grand Slam matches
Two of the four majors — the Australian Open and the US Open — are played on hard courts, so hard courts account for 49.7% of every Grand Slam match in this data (6,401 of 12,873). Roland Garros' clay accounts for 25.5% (3,289), and Wimbledon's grass for 24.7% (3,183). No Grand Slam match in this file was played on carpet — that surface only shows up at smaller tour events, which this report doesn't cover.
Each band below is sized to its share of matches; hover or tap one for the exact count and which major(s) it covers.
Grand Slam matches by surface
Counted directly from the Surface column for every row where Series is “Grand Slam”; nothing here is estimated or drawn from outside the file.
Where the data comes from and how every number is computed
Source and what one row is
The data is the ATP Tennis 2000–2023 Daily Pull by dissfya on Kaggle — a dataset the uploader refreshes daily, so this copy runs past the “2023” in its name: 68,637 ATP men's tour matches from 2000 through September 13, 2026, with 1,713 players and 268 tournaments. I kept 13 of its columns and changed no existing values; the two exceptions are hand-added rows, sourced and explained below.
One row is one main-draw match, with the tournament, date, series, court, surface, round, best-of format, the two players, the winner, both players' ATP rankings, and the score. The loser is the other player. The order of Player_1 and Player_2 carries no information (Player_1 wins 50.0% of matches), so no statistic depends on it, and the score is not used.
Rows dropped and rows missing
- No rows were dropped. The ranking finding leaves out 27 matches where a ranking is not listed or both players have the same ranking.
- A full Slam draw has 127 matches. The file still has 716 fewer than the 13,589 expected (5.3%) — almost all of it scattered early-round gaps, plus one edition (the 2026 US Open, below) that stops after its final; those are left “as recorded,” not adjusted.
- Two matches were missing outright, not just uncounted, so I added both by hand from the official ATP Tour match record rather than leave a Grand Slam final unrecorded: the 2019 US Open final — Nadal d. Medvedev, 7–5, 6–3, 5–7, 4–6, 6–4, which is why Nadal's 22 titles above include that one — and the 2026 US Open final, Zverev d. Shelton, 6–3, 7–6, 5–7, 6–2. Those two rows are the only ones in the file that didn't come from the Kaggle download; every other number in this report still comes only from that download.
- Wimbledon was cancelled in 2020. This copy of the Kaggle “Daily Pull” dataset was pulled on August 29, 2026, before the rest of the 2026 US Open was played — only its final (added by hand, above) is recorded here.
Definitions
- Grand Slam match: a row where
Seriesis “Grand Slam” (Australian Open, French Open or Roland Garros, Wimbledon, and US Open). Title: a win in a Grand Slam row whereRoundis “The Final”. - Career Grand Slam: at least one title at each of the four Slams.
- Win rate: wins ÷ matches played. Conversion rate: titles ÷ finals played.
- Percentage points: the difference between two percentages. Median: the middle value when a list is sorted.
- Higher-ranked player: the player with the smaller ranking number. Ranking gap: the difference between the two ranking numbers. Average ranking: the sum of the listed rankings ÷ how many are listed.
Thresholds and notes
- Best-of-five rates need at least 50 matches (167 players qualify). Best-of-three rates need at least 200 (192 qualify). The gap chart needs 50 best-of-five and 100 best-of-three matches (166 qualify).
- Streak: Grand Slam matches won in a row, in date order and across tournaments. A loss resets it, and round order breaks ties on the same date.
- Surface split: counted only for Grand Slam matches (Series = “Grand Slam”); every value in the Surface column at that tier is Hard, Clay, or Grass, mapping one-to-one to the Australian Open/US Open, French Open, and Wimbledon respectively — verified when the report is built, not assumed. The file has no player nationality or location data of any kind, which is why this report and the dashboard show no geographic information.
- Dashboard tiers: International = ATP 250, International Gold = ATP 500, Masters = Masters 1000, and Masters Cup = Tour Finals.