100+ datasets found
  1. Global share of tennis players in 2024, by gender

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Global share of tennis players in 2024, by gender [Dataset]. https://www.statista.com/statistics/1125182/share-tennis-players-gender/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, the International Tennis Federation (ITF) estimated that around ** percent of tennis players worldwide were female. Meanwhile, the share of tennis coaches globally who were female stood at less than ** percent.

  2. Highest-ranked male tennis players worldwide 2025

    • statista.com
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    Statista, Highest-ranked male tennis players worldwide 2025 [Dataset]. https://www.statista.com/statistics/264896/atp-ranking-of-the-top-50-male-tennis-players-worldwide/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of September 2025, Carlos Alcaraz topped the ATP ranking of male tennis players, ahead of Jannik Sinner and Alexander Zverev in second and third place, respectively. ATP Rankings The ATP Rankings is a merit-based method system used to determine the entry and seeding in all singles and doubles tournaments for professional male tennis players. A player’s ranking is based on his performance in 19 official tournaments, including the four Grand Slams and the eight mandatory ATP World Tour Masters 1000 tournaments. The top-ranked player is the player who, over the previous 52 weeks, amassed the most ATP ranking points from these tournaments. A new generation From the early 2000s onwards, the men's tennis circuit was mostly been dominated by three players: Roger Federer, Rafael Nadal, and Novak Djokovic. However, following the retirement of Federer in 2022 and Nadal in 2024, and Djokovic approaching the end of his playing career, a new generation of players has emerged. Two players, in particular, seem poised to dominate the game for the foreseeable future: Carlos Alcaraz and Jannik Sinner, both of whom won two Grand Slams apiece in 2024 and 2025. Astoundingly, every year between 2004 and 2023 saw at least two Grand Slams won by one of the Big Three.

  3. Men's Year-End ATP Rankings

    • kaggle.com
    zip
    Updated Jan 15, 2023
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    The Devastator (2023). Men's Year-End ATP Rankings [Dataset]. https://www.kaggle.com/datasets/thedevastator/men-s-year-end-atp-rankings-1972-2016
    Explore at:
    zip(643896 bytes)Available download formats
    Dataset updated
    Jan 15, 2023
    Authors
    The Devastator
    Description

    Men's Year-End ATP Rankings

    A Global Perspective

    By Granger Huntress [source]

    About this dataset

    This dataset provides a comprehensive look at the world of men's professional tennis throughout the Open Era. Every year, a new crop of tennis players has emerged to challenge long-standing traditions, while others have continued to maintain their place near the top. Through this dataset you will uncover which players succeeded in reaching or maintaining their ranking positions in the record books and how they navigated through changing eras in men’s professional tennis. Dive deep into what makes these successful athletes stand out from the rest and make impacts on their game year after year with an overview of invaluable data provided by this collection from first name, birthdate, country of origin, handedness, date range for records kept and more importantly their ATP career end rankings. Whether you are interested in a snapshot view to analyze long term trends or want to get inside insights on why top players succeed—this analysis provides invaluable resources to explore men's ATP rankings throughout its Open Era journey

    More Datasets

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    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    This dataset is a comprehensive source of men's year-end rankings during the Open Era. Each record includes information on the player's ranking, name, birthdate, country of origin, and handedness. This dataset can be used to study the trends in professional tennis throughout this time period and analyze how they have changed over time.

    To use this dataset effectively one should first explore the data by reviewing some basic statistics. Examples include summary statistics such as total players by country or average ranking across years. Summarizing the data will help get a quick understanding of what the data is composed of and any existing patterns that may be present in it.

    Another important step you can take before analyzing this data deeper would be to check for missing values or outliers within it that could affect your results if ignored or not handled appropriately. Having an understanding about any potential issues with your data like these can save you from potentially misinterpreting results due to an incomplete analysis process at some later point in time after further exploration and analysis has been done with it.

    Once an overview of your dataset has been established and potential issues have been addressed it is now time to start conducting a more detailed exploration into what insights our data holds us answer questions related to Professional Tennis during this time period such as: How did various nations perform over different years? Who was consistently ranked among the top 10 players throughout this period? Any trends we see associated with handedness preference? etc… Answering questions like these properly requires finding appropriate ways analyze them given our available set up variables so keep that in mind when trying pin down connections between our variables using techniques like correlations, linear regression etc… In addition, visualizations can also help you make sense out of large amounts complex multivariable relationships which may exist between varying sets up parameters all at once so don't forget including those whenever possible! This way you'e able maximize accuracy when uncovering hidden intricacies regarding both individual components and holistic summary statistics for tennis rankings all over years covered within this open era range

    Research Ideas

    • Analyzing the global trends in men's tennis in the Open Era over time by examining shifts in countries represented at each year-end ranking.
    • Examining the effectiveness of different opponents based on the nature of their hands (right or left) when compared to men's hand-edness throughout the Open Era.
    • Tracking and predicting future player rankings based on birthdates, country, and other relevant factors that influence performance

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    Unknown License - Please check the dataset description for more information.

    Columns

    File: ltdPlayerMaster.csv | Column name | Description | |:--------------|:---------------------------------------------------| | FIRST | First name of the player. (String) | | LAST | Last name of the player. (String) | | HAND | Handedness of the player (Right or Left). ...

  4. 🎾 Ultimate Tennis Matches Dataset

    • kaggle.com
    zip
    Updated Aug 18, 2023
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    mexwell (2023). 🎾 Ultimate Tennis Matches Dataset [Dataset]. https://www.kaggle.com/datasets/mexwell/ultimate-tennis-matches-dataset
    Explore at:
    zip(14829802 bytes)Available download formats
    Dataset updated
    Aug 18, 2023
    Authors
    mexwell
    Description

    This dataset contains all match results and bets for all tennis tournaments. ATP Men´s Tour from 2000 till 2023. WTA Women´s Tour from 2007 till 2023.

    Original Data

    Data Dictionary

    Key to results data:

    ATP = Tournament number (men) WTA = Tournament number (women) Location = Venue of tournament Tournament = Name of tounament (including sponsor if relevant) Data = Date of match (note: prior to 2003 the date shown for all matches played in a single tournament is the start date) Series = Name of ATP tennis series (Grand Slam, Masters, International or International Gold) Tier = Tier (tournament ranking) of WTA tennis series. Court = Type of court (outdoors or indoors) Surface = Type of surface (clay, hard, carpet or grass) Round = Round of match Best of = Maximum number of sets playable in match Winner = Match winner Loser = Match loser WRank = ATP Entry ranking of the match winner as of the start of the tournament LRank = ATP Entry ranking of the match loser as of the start of the tournament WPts = ATP Entry points of the match winner as of the start of the tournament LPts = ATP Entry points of the match loser as of the start of the tournament W1 = Number of games won in 1st set by match winner L1 = Number of games won in 1st set by match loser W2 = Number of games won in 2nd set by match winner L2 = Number of games won in 2nd set by match loser W3 = Number of games won in 3rd set by match winner L3 = Number of games won in 3rd set by match loser W4 = Number of games won in 4th set by match winner L4 = Number of games won in 4th set by match loser W5 = Number of games won in 5th set by match winner L5 = Number of games won in 5th set by match loser Wsets = Number of sets won by match winner Lsets = Number of sets won by match loser Comment = Comment on the match (Completed, won through retirement of loser, or via Walkover)

    Key to match betting odds data:

    B365W = Bet365 odds of match winner B365L = Bet365 odds of match loser B&WW = Bet&Win odds of match winner B&WL = Bet&Win odds of match loser CBW = Centrebet odds of match winner CBL = Centrebet odds of match loser EXW = Expekt odds of match winner EXL = Expekt odds of match loser LBW = Ladbrokes odds of match winner LBL = Ladbrokes odds of match loser GBW = Gamebookers odds of match winner GBL = Gamebookers odds of match loser IWW = Interwetten odds of match winner IWL = Interwetten odds of match loser PSW = Pinnacles Sports odds of match winner PSL = Pinnacles Sports odds of match loser SBW = Sportingbet odds of match winner SBL = Sportingbet odds of match loser SJW = Stan James odds of match winner SJL = Stan James odds of match loser UBW = Unibet odds of match winner UBL = Unibet odds of match loser

    MaxW= Maximum odds of match winner (as shown by Oddsportal.com) MaxL= Maximum odds of match loser (as shown by Oddsportal.com) AvgW= Average odds of match winner (as shown by Oddsportal.com) AvgL= Average odds of match loser (as shown by Oddsportal.com)

    Acknowlegement

    Foto von Matthias David auf Unsplash

    Tennis-Data would like to acknowledge the following sources which are currently utilised in the compilation of Tennis-Data's results and odds files.

    Results: Xscores - http://www.xscores.com/ ATPtennis.com - http://www.atptennis.com/ ATP Tour Rankings and Results Page - http://www.stevegtennis.com/ Livescore - http://www.livescore.net/

    Rankings: ATPtennis.com - http://www.atptennis.com/ ATP Tour Rankings and Results Page - http://www.stevegtennis.com/ WTA TOur Rankings - http://www.sonyericssonwtatour.com

    Betting odds for matches generally represent the most recent before play starts, as reported by oddsportal.com and the individual bookmakers.

  5. Most popular professional tennis players globally 2023

    • statista.com
    Updated Feb 11, 2024
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    Statista (2024). Most popular professional tennis players globally 2023 [Dataset]. https://www.statista.com/statistics/1451739/tennis-followers-age-worldwide/
    Explore at:
    Dataset updated
    Feb 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    During a 2023 survey, it was found that Roger Federer and Rafael Nadal were the most popular tennis players worldwide, with ** percent of respondents citing them as their favorite players. In third place was Djokovic, who, along with Federer and Nadal dominated the sport in the past two decades, having all won more than ** Grand Slam titles. Meanwhile, Serena Williams, the most successful female tennis player of her generation, ranked fourth in the rankings.

  6. Data from: Development of Youth Tennis Players: A Study Based on the Ranking...

    • figshare.com
    bin
    Updated Oct 28, 2023
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    hui chen (2023). Development of Youth Tennis Players: A Study Based on the Ranking History of Top ATP/WTA Players Worldwide and China [Dataset]. http://doi.org/10.6084/m9.figshare.24187413.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Oct 28, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    hui chen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data for this study was mainly collected from publicly available sources, including the official ATP website (www.atptour.com), the official WTA website (www.wtatennis.com). In addition, no more than 10% of the data on the age of starting tennis were taken from Wikipedia in conjunction with the results of other web searches. The top 100 ATP and WTA ranked players have been included in the research scope. Furthermore, taking into account the limited number of Chinese athletes in the sample, two relatively high-ranking Chinese players were supplemented as research subjects. A total of 202 players` ranking information was used for analysis.

  7. ATP Tour Ranking - Decade-wise and year-wise

    • kaggle.com
    zip
    Updated Nov 17, 2025
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    Kalilur Rahman (2025). ATP Tour Ranking - Decade-wise and year-wise [Dataset]. https://www.kaggle.com/datasets/kalilurrahman/atp-tennis-player-ranking-dataset
    Explore at:
    zip(17892079 bytes)Available download formats
    Dataset updated
    Nov 17, 2025
    Authors
    Kalilur Rahman
    Description

    The ATP Tour (known as the ATP World Tour from January 2009 until December 2018) is a worldwide top-tier tennis tour for men organized by the Association of Tennis Professionals. The second-tier tour is the ATP Challenger Tour and the third-tier is ITF Men's World Tennis Tour. The equivalent women's organisation is the WTA Tour.

    The ATP Tour comprises ATP Masters 1000, ATP 500, and ATP 250.[1] The ATP also oversees the ATP Challenger Tour,[2] a level below the ATP Tour, and the ATP Champions Tour for seniors. Grand Slam tournaments, a small portion of the Olympic tennis tournament, the Davis Cup, and the entry-level ITF World Tennis Tour do not fall under the purview of the ATP, but are overseen by the ITF instead and the International Olympic Committee (IOC) for the Olympics. In these events, however, ATP ranking points are awarded, with the exception of the Olympics. The four-week ITF Satellite tournaments were discontinued in 2007. Players and doubles teams with the most ranking points (collected during the calendar year) play in the season-ending ATP Finals, which, from 2000–2008, was run jointly with the International Tennis Federation (ITF). The details of the professional tennis tour are:

    Event Number Total prize money (USD) Winner's ranking points Governing body Grand Slam 4 See individual articles 2,000 ITF ATP Finals 1 4,450,000 1,100–1,500 ATP (2009–present) ATP Masters 1000 9 2,450,000 to 3,645,000 1000 ATP ATP 500 13 755,000 to 2,100,000 500 ATP ATP 250 39 416,000 to 1,024,000 250 ATP Olympics 1 See individual articles 0 IOC ATP Challenger Tour 178 40,000 to 220,000 80 to 125 ATP ITF Men's Circuit 534 10,000 and 25,000 18 to 35 ITF

    The dataset is from Jeff Sackmann(https://github.com/JeffSackmann/tennis_atp)

  8. WTA Match Statistics

    • kaggle.com
    zip
    Updated Jan 12, 2023
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    The Devastator (2023). WTA Match Statistics [Dataset]. https://www.kaggle.com/datasets/thedevastator/wta-match-statistics-from-2016-to-2018
    Explore at:
    zip(1065575 bytes)Available download formats
    Dataset updated
    Jan 12, 2023
    Authors
    The Devastator
    Description

    WTA Match Statistics

    Player Performance and Tournament Details

    By Jon Loyens [source]

    About this dataset

    The Women's Tennis Association (WTA) is an international tennis organization that governs the Women’s professional tennis tours, leagues and events around the world. For over a decade, Jeff Sackmann has carefully collected WTA match results data that include valuable information about individual players, scores, and statistics. With this dataset of nearly 25000 matches you can analyze up-and-coming players in women's tennis, compare and contrast their performances across tournaments of different levels around the world, draw correlations between performance metrics such as service points won or break points faced to victory outcomes, or gain insight into game trends within all WTA nations. At Tennis Abstract we believe in open and fair access to sports statistics for everyone so this data set is licensed for non-commercial use only under a Creative Commons Attribution license. Now go ahead and explore!

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    Welcome to our guide on the WTA Match Statistics dataset! This guide will help you understand the different columns and what kind of information is available in this dataset.

    To start, let’s review some information about the table that contains WTA's match results. This table includes various match stats such as: tournament name, surface type, draw size, tournament level, date played and winner/loser entries. It also includes important player information such as a player's name, hand preference, height, country code and age. Additionally you'll find more detailed data related to individual matches including the score of each match as well as interesting details such as the number of double faults committed or aces made by each player etc. You can even filter results down by selecting specific rounds or best-of sets e.g., 5 sets or 3 sets - depending on your research requirements!

    The first column listed under “tourney_name” stands for Tournament Name which indicates which tournament your particular row pertains to for example ATP 1000 Monte Carlo etc... The next important bit of data is “surface” and this denotes the court surface that was used in that particular game; i..e; Clay , Hard Court .etc . Moving ahead we have draw_size column shows us how many players were involved in that specific game; typically ranging from 128 (Grand Slams) down to 16 (quarter finals). Similarly with tourney _level you can see whether it was an ATP 500 / Masters Series / ITF tour event ; all denoted by M(Masters Series),G(Grand Slams) ,A (ATP 1000 Series); I(ITF tour events). Next up are relevant dates indicated under tourney_date' listing all dates going forward until finals related which denote a Tournament Finals if any occur at month end etc;and denote loser winner ranks accordingly within correspoding columns listed. In cascading further , “Winner Seed” column stands for seed refers to ranking points gained by players based on their performance at ATP tournaments throughout their career.. Someone with higher seeds stand would mean they were respected competitors within this field while lower seed would not show equivalently strong ability nor accomplishments up until then However reliance solely on seeding won't give business true insights because lower seeded players go far sometimes abd nulify expectations , so let us move forward

    Research Ideas

    • Analyzing strategies employed by the top players in women’s tennis to better understand their approach to winning games and tournaments.
    • Examining competition levels in different regional and international tennis circuits, or among players of different ages, genders, and skill levels.
    • Using machine learning techniques to make predictions about upcoming WTA matches based on the historical trends present in this dataset

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    See the dataset description for more information.

    Columns

    File: wta_matches_2016.csv | Column name | Description | |:-----------------------|:--------------------------------------------------------| | tourney_name | Name of the tournament. (String) | | surface | Type of court surface the match was played on. (String) | | draw_size | Number of players in the tournament. (Integer) | | tourney_level | Level o...

  9. WTA women's tennis ranking 2025

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). WTA women's tennis ranking 2025 [Dataset]. https://www.statista.com/statistics/264897/wta-ranking-of-the-top-50-female-tennis-players-worldwide/
    Explore at:
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of September 2025, Aryna Sabalenka was the number one player in the Women’s Tennis Association (WTA) ranking. While Sabalenka had achieved a high level of consistency in the first half of the year, she experienced bitter disappointment after losing in the Australian Open and French Open finals. However, it proved third time lucky for Sabalenka in Grand Slam finals that year, with her securing her second US Open title in as many years, overcoming Amanda Anisimova in the final. Grand Slam tournaments The four Grand Slam tournaments are the most important competitions in the tennis world. They are the Australian Open in Melbourne, the French Open (or Roland-Garros) in Paris, Wimbledon in London, and the U.S. Open in New York. Margaret Court was the female player with the most Grand Slam titles as of 2025, with 24. In second place was Serena Williams, who came within touching distance of Court's record before retiring in 2022. Meanwhile, in the men's game, Novak Djokovic was the male player with the most trophies at this level. The number one spot The WTA and ATP rankings are calculated by adding points obtained from participating in their respective official tournaments. Larger and more prestigious competitions give out more points, with the four Grand Slams on top. Between 1975 and 2023, the female tennis player with the most time as number one in the ranking was Stefanie “Steffi” Graf. The German athlete spent 377 weeks at the top. In the men's ranking, the Serbian Novak Djokovic held the record, with 405 weeks.

  10. ATP top 100 players ranking—time correlation matrix.

    • plos.figshare.com
    xls
    Updated Nov 10, 2023
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    Hui Chen; Caifeng Li; Xianlu Meng; Paweł Chmura; Xiaobin Wei (2023). ATP top 100 players ranking—time correlation matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0289848.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hui Chen; Caifeng Li; Xianlu Meng; Paweł Chmura; Xiaobin Wei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ATP top 100 players ranking—time correlation matrix.

  11. Tennis ATP rankings based on ELO scores

    • kaggle.com
    zip
    Updated Jan 11, 2022
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    Ram Jas (2022). Tennis ATP rankings based on ELO scores [Dataset]. https://www.kaggle.com/datasets/ramjasmaurya/tennis-atp-rankings-based-on-elo-scores/versions/1
    Explore at:
    zip(36159 bytes)Available download formats
    Dataset updated
    Jan 11, 2022
    Authors
    Ram Jas
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The Association of Tennis Professionals (ATP) is the governing body of the men's professional tennis circuits – the ATP Tour, the ATP Challenger Tour and the ATP Champions Tour.

    It was formed in September 1972 by Donald Dell, Jack Kramer, and Cliff Drysdale to protect the interests of professional tennis players, and Drysdale became the first President. Since 1990, the association has organized the ATP Tour, the worldwide tennis tour for men and linked the title of the tour with the organization's name. It is the governing body of men's professional tennis. In 1990 the organization was called the ATP Tour, which was renamed in 2001 as just ATP and the tour being called ATP Tour. In 2009 the name of the tour was changed again and was known as the ATP World Tour, but changed again to the ATP Tour by 2019.[1] It is an evolution of the tour competitions previously known as Grand Prix tennis tournaments and World Championship Tennis (WCT).The ATP's global headquarters are in London. ATP Americas is based in Ponte Vedra Beach, Florida; ATP Europe is headquartered in Monaco; and ATP International, which covers Africa, Asia and Australasia, is based in Sydney, Australia.

    Elo rating considers opponent rating as well, meaning wins over quality opponents are worth more than wins over lesser rated players. Ultimate Tennis Statistics uses sophisticated tennis-customized Elo rating formula.

  12. Comparison of ranking time characteristics between ATP top 50 and top 51–100...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Nov 10, 2023
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    Hui Chen; Caifeng Li; Xianlu Meng; Paweł Chmura; Xiaobin Wei (2023). Comparison of ranking time characteristics between ATP top 50 and top 51–100 Athletes. [Dataset]. http://doi.org/10.1371/journal.pone.0289848.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hui Chen; Caifeng Li; Xianlu Meng; Paweł Chmura; Xiaobin Wei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Comparison of ranking time characteristics between ATP top 50 and top 51–100 Athletes.

  13. Regional distribution of tennis players worldwide 2024

    • statista.com
    Updated Sep 25, 2025
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    Statista (2025). Regional distribution of tennis players worldwide 2024 [Dataset]. https://www.statista.com/statistics/1624171/tennis-participation-regions-worldwide/
    Explore at:
    Dataset updated
    Sep 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    World
    Description

    In 2024, the global region with the highest share of tennis players was Asia, which accounted for **** percent of tennis players worldwide. Meanwhile, Europe had **** percent of the world's tennis players.

  14. Comparison time characteristics of ATP and WTA top 10 players.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Nov 10, 2023
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    Hui Chen; Caifeng Li; Xianlu Meng; Paweł Chmura; Xiaobin Wei (2023). Comparison time characteristics of ATP and WTA top 10 players. [Dataset]. http://doi.org/10.1371/journal.pone.0289848.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hui Chen; Caifeng Li; Xianlu Meng; Paweł Chmura; Xiaobin Wei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Comparison time characteristics of ATP and WTA top 10 players.

  15. WTA Matches and Rankings

    • kaggle.com
    zip
    Updated Nov 15, 2017
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    JoĂŁo Pedro Evangelista (2017). WTA Matches and Rankings [Dataset]. https://www.kaggle.com/joaoevangelista/wta-matches-and-rankings
    Explore at:
    zip(46845940 bytes)Available download formats
    Dataset updated
    Nov 15, 2017
    Authors
    JoĂŁo Pedro Evangelista
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Context

    The WTA (Women's Tennis Association) is the principal organizing body of women's professional tennis, it governs its own tour worldwide. On its website, it provides a lot of data about the players as individuals as well the tour matches with results and the current rank during it.

    Luckily for us, Jeff Sackmann scraped the website and collected everything from there and put in a nice way into easily consumable datasets.

    On Jeff's GitHub account you can find a lot more data about tennis!

    Content

    The dataset present here is directly downloaded from the source, no alteration on the data was made, the files were only placed in subdirectories so one can easily locate them.

    It covers statistics of players registered on the WTA, the matches that happened on each tour by year, with results, as well some qualifying matches for the tours.

    As a reminder, you may not find all data of the matches prior to 2006, so be warned when working with those sets.

    Acknowledgements

    Thanks to Jeff Sackmann for maintaining such collection and making it public!

    Also, a thank you for WTA for collecting those stats and making them accessible to anyone on their site.

    Inspiration

    Here are some things to start:

    • Which player did the most rapidly climb the ranks through the years?
    • Does the rank correlates with the money earn by the player?
    • What can we find about the age?
    • There is some deterministic factor to own the match?
  16. M

    Men Tennis Open Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 28, 2025
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    Data Insights Market (2025). Men Tennis Open Report [Dataset]. https://www.datainsightsmarket.com/reports/men-tennis-open-1935930
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The men's professional tennis market, encompassing major tournaments like the Grand Slams (Wimbledon, US Open, Roland Garros, Australian Open), ATP Masters 1000 events, and other significant competitions, represents a substantial and dynamic global industry. While precise market size figures aren't provided, a reasonable estimate, considering the revenue generated by major tournaments and sponsorships, could place the 2025 market value between $3-4 billion USD. This estimate accounts for ticket sales, broadcasting rights, endorsements, sponsorships, merchandise sales, and hospitality packages. A Compound Annual Growth Rate (CAGR) of 5-7% over the forecast period (2025-2033) is plausible, driven by factors such as increasing global viewership, the rising popularity of tennis in emerging markets, and the continued growth of digital platforms for content delivery. Key growth drivers include strategic partnerships with media companies expanding broadcasting reach, increased investment in player development programs fostering new talent, and the rising popularity of fantasy sports and betting related to professional tennis. However, the market faces certain restraints. These include the concentration of revenue among a relatively small number of elite players and tournaments, the cyclical nature of the sport with dependence on star players’ performance and participation, and the potential impact of economic downturns on sponsorship and broadcasting revenue. Segmentation within the market includes tournament revenue, broadcasting rights, sponsorship deals, merchandise sales, and player endorsements. Major players shaping the landscape include governing bodies such as the International Tennis Federation (ITF) and the Association of Tennis Professionals (ATP), along with individual tournaments (US Open, Wimbledon, etc.) and major sponsors. Geographic growth will likely be driven by expanding markets in Asia and other developing regions where increased participation and media coverage are fostering increased interest in the sport. Further segmentation analysis would reveal valuable insights into the relative contribution of each revenue segment and geographical market.

  17. D

    Tennis Baskets Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Tennis Baskets Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/tennis-baskets-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Tennis Baskets Market Outlook



    The tennis baskets market is experiencing a steady evolution, with a market size estimated at $XX billion in 2023, projected to reach $XX billion by 2032, growing at a notable CAGR of X.X%. The demand for tennis baskets is primarily driven by the rising interest in tennis as both a competitive sport and a recreational activity worldwide. Factors such as the expansion of tennis training facilities, increasing participation in tennis across various age groups, and the growing emphasis on sports education in schools are contributing significantly to the market's growth. Moreover, technological innovations in product design, aimed at enhancing user convenience and efficiency, are further propelling the market forward.



    The rising awareness about the health benefits associated with playing tennis is a major driver for the growth of the tennis baskets market. Tennis is increasingly being recognized not just as a competitive sport but also as an excellent form of cardiovascular exercise, which improves fitness, agility, and overall health. This has led to a surge in tennis participation rates globally, particularly among youths and the elderly who are seeking engaging ways to maintain an active lifestyle. As more people take up tennis, the demand for equipment, including tennis baskets for practice and training, has consequently increased. This trend is particularly noticeable in urban areas where sports facilities are expanding rapidly to accommodate the growing number of tennis enthusiasts.



    Technological advancements and innovations in the design of tennis baskets have also played a crucial role in the market's growth. Modern tennis baskets are being designed with enhanced features such as lightweight materials, easy mobility, and ergonomic designs to improve user convenience. These advancements have made it easier for players and coaches to transport and handle tennis balls during practice sessions, thereby increasing the efficiency of training. Furthermore, some manufacturers are incorporating smart technologies into tennis baskets, such as sensors that track the number and location of balls, which is appealing to tech-savvy consumers who seek a more integrated training experience.



    The burgeoning popularity of tennis as a professional sport, with a growing number of tournaments and events, has significantly boosted the demand for high-quality tennis baskets used in professional training and coaching. The success stories of professional tennis players have inspired many young athletes to pursue tennis, leading to an increased enrollment in tennis clubs and training academies. This, in turn, has spurred the demand for tennis equipment, including baskets, as clubs and training facilities strive to provide the best resources for developing future champions. Furthermore, the involvement of international sports bodies and corporations in promoting tennis at grassroots levels has encouraged more individuals to participate, further fueling market growth.



    An interesting development in the realm of tennis equipment is the introduction of the Tennis Vibrator, a device designed to enhance the training experience by providing real-time feedback on ball impact and vibration. This innovative tool is gaining traction among both amateur and professional players who seek to refine their skills with precise data. The Tennis Vibrator works by attaching to the racket, analyzing the vibrations produced upon ball contact, and offering insights into the player's technique. Such advancements are not only making training more efficient but also more engaging, as players can track their progress and make necessary adjustments to improve their game. With the increasing focus on technology-driven training solutions, the Tennis Vibrator represents a significant step forward in personalized sports coaching.



    Regionally, the market outlook varies with Asia Pacific expected to be one of the fastest-growing regions due to the increasing popularity of tennis in countries like China, India, and Japan. These countries have seen significant investments in sports infrastructure and a growing interest in tennis among both youth and adults. Meanwhile, North America continues to be a dominant region in terms of market size, attributed to the well-established tennis culture and the presence of numerous tennis clubs and training facilities. Europe follows closely, with a strong tradition of tennis and a significant number of tournaments attracting a large audience and participants every year. Latin America and the Middle East &

  18. Comparison between Chinese elite female players and the WTA top 10 players.

    • plos.figshare.com
    xls
    Updated Nov 10, 2023
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    Hui Chen; Caifeng Li; Xianlu Meng; Paweł Chmura; Xiaobin Wei (2023). Comparison between Chinese elite female players and the WTA top 10 players. [Dataset]. http://doi.org/10.1371/journal.pone.0289848.t004
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    xlsAvailable download formats
    Dataset updated
    Nov 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hui Chen; Caifeng Li; Xianlu Meng; Paweł Chmura; Xiaobin Wei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Comparison between Chinese elite female players and the WTA top 10 players.

  19. The global Tennis market size will be USD 30525.6 million in 2024.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Sep 20, 2025
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    Cognitive Market Research (2025). The global Tennis market size will be USD 30525.6 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/tennis-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 20, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Tennis market size was USD 30525.6 million in 2024. It will expand at the compound annual growth rate (CAGR) of 5.50% from the year 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 12210.24 million in 2024 and will rise at the compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 9157.68 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 7020.89 million in 2024 and will rise at the compound annual growth rate (CAGR) of 7.5% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 1526.28 million in 2024 and will rise at the compound annual growth rate (CAGR) of 4.9% from the year 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 610.51 million in 2024 and will rise at the compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
    The apparel category is the fastest growing segment of the Tennis industry
    

    Market Dynamics of Tennis Market

    Key Drivers for Tennis Market

    Influence of Tennis Celebrities and Grand Slam Events to Boost Market Growth

    The tennis market is also driven by the influence of popular players and the appeal of global tournaments like Wimbledon, the US Open, and other Grand Slam events. These tournaments capture international audiences and inspire fans to participate in tennis. The popularity of elite players, who serve as role models, helps fuel interest in tennis and boosts merchandise and equipment sales. Social media has amplified this effect, as players share training routines and personal insights and engage with fans directly. Brands often collaborate with top players to promote tennis products, leveraging their massive fan followings. Additionally, the global media coverage and sponsorship investments that these events attract lead to increased visibility and aspirational value associated with the sport. This effect is particularly pronounced among younger demographics, who see tennis as not only a sport but a cultural phenomenon. For instance, Yonex launched the 7th-generation VCORE tennis racquet. It features a spin ball that drops and bounces more widely. It is available for professional players, junior players, and others

    Growing Health and Fitness Awareness to Drive Market Growth

    Tennis is known for its cardiovascular benefits, full-body workout potential, and mental health advantages, making it an attractive option for people aiming to maintain an active lifestyle. With rising awareness about the importance of regular physical activity, tennis has gained popularity among all age groups. Additionally, the shift toward sports that promote individual excellence, endurance, and strategic thinking aligns well with tennis. This trend has spurred demand not only for tennis facilities but also for related equipment, coaching, and organized leagues, bolstering the market. Governments and organizations advocating for active lifestyles further support tennis as an accessible sport, encouraging greater participation and infrastructure development, especially in urban areas where fitness trends tend to flourish.

    Restraint Factor for the Tennis Market

    The High-Cost Associated with Participation and Equipment Will Limit Market Growth

    Tennis requires specific gear, including racquets, shoes, and balls, as well as access to well-maintained courts, which can be expensive, especially in urban areas where court space is limited. For young players, the financial burden can be even higher due to the need for coaching and travel to participate in competitions. These expenses make tennis less accessible, limiting its reach, especially among economically constrained demographics. In addition, this high-cost barrier often deters potential players, resulting in a smaller pool of enthusiasts and contributing to the sport's relatively lower popularity in comparison to other, more accessible sports.

    Limited Accessibility and Uneven Global Popularity

    While tennis enjoys strong popularity in regions like Europe, North America, and parts of Asia and Australia, its presence is comparatively weak in many other parts of the world, particularly...

  20. Leading male tennis players 2025, by career prize money

    • statista.com
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    Statista, Leading male tennis players 2025, by career prize money [Dataset]. https://www.statista.com/statistics/277002/tennis-players-worldwide-by-career-prize-money-earnings/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of September 2025, Novak Djokovic had won more in prize money than any other tennis player, with a career total of over 190 million U.S. dollars. Fellow tennis legends Rafael Nadal and Roger Federer ranked second and third, respectively, with the Spaniard having earned around 135 million U.S. dollars in prize money from his time in the sport.

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Statista (2025). Global share of tennis players in 2024, by gender [Dataset]. https://www.statista.com/statistics/1125182/share-tennis-players-gender/
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Global share of tennis players in 2024, by gender

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Dataset updated
Nov 26, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
Worldwide
Description

In 2024, the International Tennis Federation (ITF) estimated that around ** percent of tennis players worldwide were female. Meanwhile, the share of tennis coaches globally who were female stood at less than ** percent.

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