27 datasets found
  1. Fantasy Premier League Player Data (2016-2024)

    • kaggle.com
    Updated May 14, 2024
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    Reeve Barreto (2024). Fantasy Premier League Player Data (2016-2024) [Dataset]. https://www.kaggle.com/datasets/reevebarreto/fantasy-premier-league-player-data-2016-2024
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 14, 2024
    Dataset provided by
    Kaggle
    Authors
    Reeve Barreto
    License

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

    Description

    This dataset provides an archive of Fantasy Premier League (FPL) player performance data for eight seasons, spanning from 2016-2024.

    The data was originally collected from https://github.com/vaastav/Fantasy-Premier-League, a public repository for FPL data.

    The dataset has been meticulously cleaned and processed to ensure accuracy and consistency. This may include handling missing values, correcting inconsistencies, and standardizing formats.

    The dataset includes a wide range of player statistics captured on a gameweek-by-gameweek basis. This allows you to analyze trends, identify patterns, and gain valuable insights into player performance.

    This dataset can be a powerful tool for FPL enthusiasts and data scientists alike. Here are some potential applications: - Trend Analysis: Identify historical trends in player performance across different seasons and positions. - Predictive Modeling: Develop machine learning models to predict player points, performance, and transfers. - Informed Team Selection: Make data-driven decisions to optimize your FPL team for each gameweek. - Comparative Analysis: Compare player statistics across seasons and positions to uncover hidden gems and potential breakout stars.

    Using this dataset, you can gain a deeper understanding of FPL player performance and enhance your decision-making for the upcoming season.

  2. A

    ‘English Premier League stats 2019-2020’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Nov 21, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘English Premier League stats 2019-2020’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-english-premier-league-stats-2019-2020-3528/4c42a07a/?iid=245-032&v=presentation
    Explore at:
    Dataset updated
    Nov 21, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘English Premier League stats 2019-2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/idoyo92/epl-stats-20192020 on 12 November 2021.

    --- Dataset description provided by original source is as follows ---

    This Dataset is a merge of two EPL datasets I found online.

    First, make sure to look up https://github.com/vaastav/Fantasy-Premier-League who has done an amazing job of collecting stats from the FPL app. There are further players' stats that I might share in the future. The second source is https://datahub.io/sports-data/english-premier-league, where some additional stats are available souch as referee name and betting odds (I kept 365 in the data, you might want to compare odds, etc)

    Each row is a summary of a EPL game from one team's perspective. Among the stats you can find shots on target, xG Index, PPDA (measures pressing play) and more.

    Notice: I added induvidual players stats. see the attached csv.

    Acknowledgements:

    As mentioned above, the collecting was done by others. Make sure you take a look and upvote the Github repo that is trully great.

    So the EPL is currently shut down, we don't know when it'll be back. By that time, could you predict results? find trends?

    --- Original source retains full ownership of the source dataset ---

  3. Premier League Player's stats

    • kaggle.com
    Updated May 20, 2024
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    sgDysregulation (2024). Premier League Player's stats [Dataset]. https://www.kaggle.com/datasets/sophieg/premier-league-players-stats
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 20, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    sgDysregulation
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Use the FPL API to acquire players stats

    EndpointDescription
    https://fantasy.premierleague.com/api/bootstrap-static/Main URL for all premier league players, teams, global gameweek summaries
    https://fantasy.premierleague.com/api/fixtures/A list of all 380 matches that will happen over the season
    https://fantasy.premierleague.com/api/element-summary/{EID}/Remaining fixtures left for PL player as well as previous fixtures and seasons
    https://fantasy.premierleague.com/api/event/{GW}/live/Stats of all PL players that played in GW
    https://fantasy.premierleague.com/api/entry/{TID}/Basic info on FPL Manager
    https://fantasy.premierleague.com/api/entry/{TID}/history/A summary of a FPL Manager for each GW up until the current GW The past season results of a FPL Manager The chips a FPL Manager has played
    https://fantasy.premierleague.com/api/entry/{TID}/transfers/All transfers of given team TID
    https://fantasy.premierleague.com/api/entry/{TID}/event/{GW}/picks/Squad picks of team TID for week GW. Both TID and GW should be numeric
    https://fantasy.premierleague.com/api/leagues-classic/{TID}/standings/Information about league with id LID, such as name and standings, add ?page_standings={P} for leagues with more than 50 teams

  4. All history Fantasy Premier League(FPL) data

    • kaggle.com
    Updated Aug 24, 2023
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    Bhavuk Pahuja (2023). All history Fantasy Premier League(FPL) data [Dataset]. https://www.kaggle.com/datasets/visionofkevin/all-history-fantasy-premier-leaguefpl-data/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 24, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bhavuk Pahuja
    Description

    This data set contains data for all the premier league players and their FPL scores and other details. The data is divides via team and also season-wise which can be really helpful for any analysis

  5. d

    NFL Data (Historic Data Available) - Sports Data, National Football League...

    • datarade.ai
    Updated Sep 26, 2024
    + more versions
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    APISCRAPY (2024). NFL Data (Historic Data Available) - Sports Data, National Football League Datasets. Free Trial Available [Dataset]. https://datarade.ai/data-products/nfl-data-historic-data-available-sports-data-national-fo-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Sep 26, 2024
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Lithuania, Italy, Ireland, China, Bosnia and Herzegovina, Malta, Portugal, Norway, Poland, Iceland
    Description

    Our NFL Data product offers extensive access to historic and current National Football League statistics and results, available in multiple formats. Whether you're a sports analyst, data scientist, fantasy football enthusiast, or a developer building sports-related apps, this dataset provides everything you need to dive deep into NFL performance insights.

    Key Benefits:

    Comprehensive Coverage: Includes historic and real-time data on NFL stats, game results, team performance, player metrics, and more.

    Multiple Formats: Datasets are available in various formats (CSV, JSON, XML) for easy integration into your tools and applications.

    User-Friendly Access: Whether you are an advanced analyst or a beginner, you can easily access and manipulate data to suit your needs.

    Free Trial: Explore the full range of data with our free trial before committing, ensuring the product meets your expectations.

    Customizable: Filter and download only the data you need, tailored to specific seasons, teams, or players.

    API Access: Developers can integrate real-time NFL data into their apps with API support, allowing seamless updates and user engagement.

    Use Cases:

    Fantasy Football Players: Use the data to analyze player performance, helping to draft winning teams and make better game-day decisions.

    Sports Analysts: Dive deep into historical and current NFL stats for research, articles, and game predictions.

    Developers: Build custom sports apps and dashboards by integrating NFL data directly through API access.

    Betting & Prediction Models: Use data to create accurate predictions for NFL games, helping sportsbooks and bettors alike.

    Media Outlets: Enhance game previews, post-game analysis, and highlight reels with accurate, detailed NFL stats.

    Our NFL Data product ensures you have the most reliable, up-to-date information to drive your projects, whether it's enhancing user experiences, creating predictive models, or simply enjoying in-depth football analysis.

  6. Share of participation in fantasy football in the U.S. in 2022, by age

    • statista.com
    Updated Sep 8, 2023
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    Statista (2023). Share of participation in fantasy football in the U.S. in 2022, by age [Dataset]. https://www.statista.com/statistics/284715/participation-of-family-members-in-fantasy-football-in-the-us/
    Explore at:
    Dataset updated
    Sep 8, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 23, 2023 - Aug 25, 2023
    Area covered
    United States
    Description

    During an August 2023 survey in the United States, over 60 percent of NFL fans aged 18 to 29 stated that they participated in a fantasy football league in 2022. In comparison, this figure fell to just 26 percent among NFL fans aged 30 or older.

  7. Fantasy Football Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Fantasy Football Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-fantasy-football-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

    Fantasy Football Market Outlook



    In 2023, the global fantasy football market size was valued at approximately USD 24.4 billion, and it is projected to reach USD 48.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.9%. This robust growth is driven by the increasing popularity of sports betting, the expansion of internet penetration, and the evolving digital landscape that has made fantasy sports more accessible to a global audience.



    The burgeoning interest in fantasy football is significantly fueled by the thrill associated with virtual sports management and the competitive spirit it invokes among participants. The advent of high-speed internet and the proliferation of smartphones have considerably lowered entry barriers, enabling users from diverse demographics to engage with fantasy football platforms. Enhanced user interfaces and the strategic inclusion of real-time data and analytics have further enriched the user experience, making the game more immersive and engaging. Additionally, the growing partnerships between fantasy sports platforms and major sports leagues have enhanced the credibility and reach of the market.



    Another crucial growth factor is the increasing monetization avenues within the fantasy football ecosystem. Platforms are leveraging ad revenues, subscription models, and in-app purchases to enhance their profitability. The introduction of innovative revenue streams like virtual goods, personalized content, and premium features provides substantial growth opportunities. Furthermore, the gamification of fantasy sports, including interactive features like social sharing and leaderboards, has significantly contributed to user retention and engagement.



    Public perception and societal trends have also played a pivotal role in the market's growth. The cultural acceptance of fantasy sports as a mainstream activity has expanded its demographic reach beyond traditional sports enthusiasts. The integration of fantasy sports into mainstream media, including dedicated shows and podcasts, has increased visibility and user adoption. This cultural shift has also led to the formation of fantasy football communities, fostering a sense of camaraderie and collective enthusiasm.



    American Football has played a pivotal role in the evolution of fantasy sports, particularly in North America, where the National Football League (NFL) stands as the most popular league for fantasy football. The deep-rooted passion for American Football among fans has translated into a robust fantasy football culture, with millions of participants engaging in both daily and season-long leagues. The NFL's extensive media coverage and the availability of detailed player statistics have made it an ideal sport for fantasy leagues, offering fans an opportunity to test their managerial skills and engage with the sport on a deeper level. This engagement is further amplified by the NFL's active promotion of fantasy football, which has helped to sustain and grow its fan base over the years.



    From a regional perspective, North America continues to dominate the fantasy football market, driven by the high penetration of internet services and the strong sports culture in the region. The United States alone accounts for a significant portion of the market owing to the popularity of the National Football League (NFL). Meanwhile, Europe and the Asia Pacific are emerging as significant growth regions. The increasing popularity of soccer and the rising number of internet users in countries like India and China are expected to contribute to the market's expansion in these regions.



    Platform Analysis



    The fantasy football market is segmented into mobile applications and websites based on the platform. Mobile applications have revolutionized the fantasy sports experience by offering users the convenience of managing their teams on the go. The advent of sophisticated mobile apps with user-friendly interfaces, real-time updates, and interactive features has significantly enhanced user engagement. The integration of advanced analytics and personalized recommendations in mobile applications has made it easier for users to make informed decisions, thereby increasing user satisfaction and retention.



    On the other hand, websites continue to be a popular platform among a segment of users who prefer a more detailed and expansive interface. Websites offer a broader range of features and functionalities compared to mobile applicatio

  8. Fantasy Premier League 2019/20 Player Data

    • kaggle.com
    Updated Aug 19, 2020
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    Plavak Das (2020). Fantasy Premier League 2019/20 Player Data [Dataset]. https://www.kaggle.com/plavak10/fpl-1920-player-data/tasks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 19, 2020
    Dataset provided by
    Kaggle
    Authors
    Plavak Das
    License

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

    Description

    Dataset

    This dataset was created by Plavak Das

    Released under CC0: Public Domain

    Contents

  9. Fantasy Premier League 2019/20(Player Data)

    • kaggle.com
    Updated Jun 7, 2020
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    Plavak Das (2020). Fantasy Premier League 2019/20(Player Data) [Dataset]. https://www.kaggle.com/datasets/plavak10/fantasy-premier-league-201920player-data/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 7, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Plavak Das
    License

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

    Description

    About

    Fantasy Premier League(FPL) is a global fantasy football game of English Premier League, played nearly by 7.5m managers all across the globe. An unfortunate outbreak of a pandemic has halted football and all other sporting events. In terms of FPL, it has provided us quite a time to ponder about our teams. And with Premier League set to resume on 17th June, its time to give a final push to our analysis of the season so far.

    Content

    Feature Description

    Team - the club that the player belongs to Points - points scored by the player till date Cost - value of the player Position - position played by the player Goals_Scored - number of goals scored by the player Assists - number of assists made by the player Saves - number of saves made by the player Yellow_Card - number of yellow cards received by the player Red_Card - number of red cards received by the player Min_Played - number of minutes played by the player TSB - percentage of teams possessing the player CS - number of clean sheets kept by the player Shots_On_Target - number of shots on target by the player Goals_Conceded - number of goals conceded by the player BPS - total sum of bonus points scored by the players

  10. Participation in fantasy football during the next NFL season in the U.S....

    • statista.com
    Updated Sep 7, 2023
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    Statista (2023). Participation in fantasy football during the next NFL season in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1174271/participation-fantasy-football-nfl/
    Explore at:
    Dataset updated
    Sep 7, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 3, 2020 - Sep 7, 2020
    Area covered
    United States
    Description

    Fantasy football is a game in which participants act as a manager of a virtual team during the NFL season. Players can participate in an NFL draft to create their team of stars and points are then determined by the performance of the player during the season. In a September 2020 survey in the United States, ten percent of respondents stated that they would participate in one season-long fantasy football league for the upcoming NFL season.

  11. o

    FPL Tweets Dataset

    • opendatabay.com
    .undefined
    Updated Jun 10, 2025
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    Datasimple (2025). FPL Tweets Dataset [Dataset]. https://www.opendatabay.com/data/web-social/b10e09b2-82f1-47a3-912d-17aaacea2633
    Explore at:
    .undefinedAvailable download formats
    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    Datasimple
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Social Media and Networking
    Description

    What is FPL? Fantasy Premier League (FPL) is an online fantasy football game based on the English Premier League. In the game, participants select a squad of real-life Premier League players and earn points based on their performances in actual matches.

    Here are some facts about FPL:

    FPL has over 9 million registered users worldwide, making it one of the most popular fantasy sports games in the world. The budget for each FPL team is £100.0m, with the most expensive player being Mohamed Salah at £13 million for the current season. The highest-scoring FPL player of all time is again Mohamed Salah, who scored 303 points in the 2017/18 season. Content This dataset contains a collection of tweets with keywords Fantasy Premier League and FPL. The tweets were scraped using the snscrape library. Check out the Tutorial Notebook

    The dataset includes the following information for each tweet:

    ID: The unique identifier for the tweet. Timestamp: The date and time when the tweet was posted. User: The Twitter handle of the user who posted the tweet. Text: The content of the tweet. Hashtag: The hashtags included in the tweet, if any. Retweets: The number of times the tweet has been retweeted as of the time it was scraped. Likes: The number of likes the tweet has received as of the time it was scraped. Replies: The number of replies to the tweet as of the time it was scraped. Source: The source application or device used to post the tweet. Location: The location listed on the user's Twitter profile, if any. Verified_Account: A Boolean value indicating whether the user's Twitter account has been verified. Followers: The number of followers the user has as of the time the tweet was scraped. Following: The number of accounts the user is following as of the time the tweet was scraped The dataset provides a glimpse into the online chatter related to Fantasy Premier League and can be used for various natural language processing and machine learning tasks, such as sentiment analysis, topic modeling, and more. It allows an understanding of the community, the level of interest, and the experience of playing FPL.

    Original Data Source: FPL Tweets Dataset

  12. Fantasy Premier League Dataset 2023-2024

    • kaggle.com
    Updated Feb 27, 2024
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    Aaditya Seal (2024). Fantasy Premier League Dataset 2023-2024 [Dataset]. https://www.kaggle.com/datasets/aadityaseal/fantasy-premier-league-dataset-2023-2024/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aaditya Seal
    License

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

    Description

    Dataset

    This dataset was created by Aaditya Seal

    Released under CC0: Public Domain

    Contents

  13. Fantasy Sports Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
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    Technavio, Fantasy Sports Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), Middle East and Africa (Egypt, KSA, Oman, and UAE), APAC (China, India, and Japan), South America (Argentina and Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/fantasy-sports-market-size-industry-analysis
    Explore at:
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    Fantasy Sports Market Size 2025-2029

    The fantasy sports market size is forecast to increase by USD 10.13 billion, at a CAGR of 7.1% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing popularity of dedicated apps and the utilization of these sports technology for brand promotion. The proliferation of user-friendly apps has made accessing and participating in fantasy sports more convenient than ever before, leading to a surge in demand. Brands recognize the potential of this trend, using fantasy sports as a marketing tool to engage consumers and build brand loyalty. However, the future of fantasy sports remains uncertain, with concerns surrounding the potential negative impacts on health and well-being. The addictive nature of fantasy sports gaming can lead to excessive time spent on digital platforms, negatively affecting productivity and overall well-being.
    Companies must navigate these challenges by implementing responsible gaming practices and promoting a healthy balance between digital engagement and real-life activities. By addressing these concerns and continuing to innovate, fantasy sports providers can capitalize on the market's potential and maintain a strong competitive edge.
    

    What will be the Size of the Fantasy Sports Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market continues to evolve, with dynamic market activities unfolding across various sectors. Season-long fantasy sports platforms offer users customizable league settings, head-to-head matches, and real-time game data, enabling a more engaging user experience. Waiver wire transactions and player projections are integral components, requiring continuous analysis from fantasy sports analysts and machine learning algorithms. Fantasy sports communities foster interaction through player chat, news feeds, and podcasts, creating a vibrant ecosystem. Draft strategies and auction drafts vary, with salary cap leagues and private leagues offering unique challenges. Advertising revenue and affiliate marketing provide monetization opportunities, while privacy policies ensure user data security.

    Daily fantasy sports (DFS) operators employ advanced statistical analysis and probability calculations to offer real-time contests, further fueling the market's growth. API integrations and data modeling enable seamless data access, while customer support and commissioner tools cater to league management needs. Freemium models, subscription models, and public leagues cater to diverse user preferences, with mobile applications and web applications ensuring accessibility. Risk assessment and lineup optimization strategies are essential for success, while injury reports and expert analysis inform user decision-making. Fantasy sports platforms continue to integrate social media, offering a more immersive experience. News feeds and custom leagues provide users with personalized content, further enhancing engagement.

    How is this Fantasy Sports Industry segmented?

    The fantasy sports industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Product
    
      Fantasy soccer
      Fantasy baseball
      Fantasy basketball
      Fantasy football
      Others
    
    
    Application
    
      Individual Competition
      Team Competition
    
    
    Demographic
    
      Under 25 Years
      Between 25 and 40 Years
      Above 40 Years
    
    
    Dietary Preference
    
      Vegan
      Gluten-Free
      Keto
    
    
    Target Audience
    
      Busy Professionals
      Health Enthusiasts
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      Middle East and Africa
    
        Egypt
        KSA
        Oman
        UAE
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Argentina
        Brazil
    
    
      Rest of World (ROW)
    

    By Product Insights

    The fantasy soccer segment is estimated to witness significant growth during the forecast period.

    In the realm of fantasy sports, soccer holds a significant position, allowing participants to build teams comprised of real-life soccer players and earn points based on their on-field statistics or perceived value. Soccer fantasy leagues, such as Draft Fantasy Football, McDonald FIFA World Cup Fantasy, Fantasy Premier League, and UEFA Champions League Fantasy Football, attract a massive following due to the universal appeal of soccer. These platforms offer users flexibility to manage their rosters, making unlimited transfers before the season's commencement. Fantasy sports communities thrive on player chat, league settings, and head-to-head matches, fostering a competitive and engaging environment.

    Season-long fantasy sports and daily fantasy

  14. Fantasy Premier League Dataset 2022-2023

    • kaggle.com
    Updated May 30, 2023
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    Paolo Mazza (2023). Fantasy Premier League Dataset 2022-2023 [Dataset]. https://www.kaggle.com/datasets/meraxes10/fantasy-premier-league-dataset-2022-2023/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 30, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Paolo Mazza
    License

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

    Description

    This is a basic dataset containing the aggregated fantasy premier league data taken from the official website Fantasy Premier League. The data will be updated daily.

  15. c

    Daily Fantasy Sports market size was USD 5,992.74 Million in 2017!

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, Daily Fantasy Sports market size was USD 5,992.74 Million in 2017! [Dataset]. https://www.cognitivemarketresearch.com/daily-fantasy-sports-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    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

    As per Cognitive Market Research's latest published report, the Global Daily Fantasy Sports market size was USD 5,992.74 Million in 2017 and it is forecasted to reach USD 14,875.92 Million by 2029. Daily Fantasy Sports Industry's Compound Annual Growth Rate will be 8.95% from 2023 to 2030.

    The North America Daily Fantasy Sports market size will be USD 5,022.11 Million by 2029.
    

    Market Drivers For Daily Fantasy Sports

    Growing adoption of smartphones coupled with rising internet connectivity
    

    Over the last few years, there is a rapid increase in smart device adoption and internet penetration. Smart devices offer flexibility to customers on a smartphone, laptop, desktop, or tablet. With these devices, users are simply able to access several daily fantasy sports apps and websites.

    According to a study, the number of unique mobile internet users in 2020 was 4.28 billion, and more than 90% of the worldwide internet population has access to the internet through a mobile device. Until March 2021, the internet penetration rate in Asia was at 62%, 88% in Europe, and 90% in North America.

    Similarly, according to the study, the current global smartphone user population is 6.648 billion, which indicates that 83.72 percent of the world’s population possesses a smartphone. This statistic has increased significantly from 2016, when there were just 3.668 billion users, accounting for 49.40 percent of the world’s population at the time.

    Furthermore, the usage of tablets, laptops, and desktops is also raising. According to the Australian Bureau of Statistics, desktop or laptop computers are used by 91% of connected households.

    As technology advances, various organizations are releasing numerous daily fantasy games that can play online. This enables several people to entertain themselves as well as to earn money. In this app or website, users can play a wide range of fantasy games, including cricket, hockey, football, basketball, and kabaddi. This promotes market expansion.

    According to data shared by Indian Super League (ISL) its fantasy football players hail from India, Nepal, Bangladesh, and the UK, with 86% of the traffic coming from mobile phones. As a result, the growing adoption of smart devices coupled with rising internet connectivity drives the growth of the daily fantasy sports market.

    Rising number of daily fantasy sports players
    

    As online gaming and associated activities gain traction, the online fantasy sports market is expected to see a considerable increase in income. The popularity of fantasy games has surged with the introduction of various applications and websites. Daily fantasy games, in particular, are gaining popularity, and many individuals are drawn to them. This increases the popularity of daily fantasy sports.

    Daily fantasy games are a popular type of online fantasy gaming in which users pay an entrance fee to compete for cash rewards based on the performance of professional athletes whom users choose and then track in their respective professional sports events.

    People are drawn to daily fantasy games for a variety of reasons. The primary reason for this is that players can win real money. According to data, one-third (34%) of urban Indians have played online fantasy sports for money in June 2021. There is real money on the line, and anybody has a chance to win. Some players even make a full-time career by joining competitions. It's difficult to say how much profit the top fantasy sports players make, but there's evidence that they might be earning at least $10,000 every week.

    As a result, many players want to participate in daily fantasy games. According to the Fantasy Sports and Gaming Association, approximately 59 million individuals in the United States and Canada participate in fantasy sports. It also claims that 20 million individuals in India play fantasy games, with the amount expected to rise to 150 million by 2022. According to the Fantasy Sports Trade Association, the number of fantasy sports participants has increased from 500,000 in 1988 to 59.3 million in 2017, with the business being worth $7.22 billion (FSTA).

    Similarly, key players are participating in a variety of measures to increase player numbers. For instance, to increase its appeal to women, Disney introduced a fantasy

    league game for ABC's "Bachelorette" show in 2017. More than 700,000 individuals have playe...

  16. English Premier League in-game match data

    • kaggle.com
    Updated Mar 22, 2019
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    ShubhamPawar (2019). English Premier League in-game match data [Dataset]. https://www.kaggle.com/datasets/shubhmamp/english-premier-league-match-data/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 22, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    ShubhamPawar
    License

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

    Description

    This dataset was obtained as part of my project to rate player performances in a game and use it to model game outcomes. I was looking for an open dataset which included important in-game stats for players but couldn't find one. Hence I ended up scraping data myself. Subsequently, it has been successfully used to predict player performances in future games and build an optimum fantasy league team. I would be updating the dataset monthly to include newer games of the current season.

    The dataset includes 2 JSON files. One of the files describes in-game match stats for every match of the past 4 seasons (current season included) like player touches, passes, shots, yellow cards, saves etc. Some of the stats are available as aggregate stats for the entire team and some of them are player specific. Second, file describes general match outcomes like the full time and half-time score etc.

    Data snapshot --

    
    {
      "1190174":{
        "13":{
          "team_details":{
            "team_id":"13",
            "team_name":"Arsenal",
            "team_rating":"7.30714285714286",
            "date":"11/08/2017"
          },
          "aggregate_stats":{
            "fk_foul_lost":"9",
            "won_contest":"16",
            "possession_percentage":"70",
            "total_throws":"21",
             .............
           },
          "Player_stats":{
            "Petr Cech":{
              "player_details":{
                "player_id":"6775",
                "player_name":"Petr Cech",
                "player_position_value":"1",
                "player_position_info":"GK",
                "player_rating":"5.78"
              },
              "Match_stats":{
                "good_high_claim":"1",
                "touches":"27",
                "total_tackle":"1",
                "total_pass":"20",
                "formation_place":"1",
                "accurate_pass":"16"
              },
    

    This dataset could be used to predict player performances and how a particular player/team plays against another. Can a game outcome be modeled on the player composition of the participating teams? Are goals the most important factor that determines season outcomes or something other than historical goals be used to predict the future team performance in the league?

  17. Fantasy EPL: New season research 2020 2021

    • kaggle.com
    Updated Sep 2, 2020
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    Aditya Pawar (2020). Fantasy EPL: New season research 2020 2021 [Dataset]. https://www.kaggle.com/datasets/scientistdat/fantasy-epl-new-season-research-2020-2021/notebooks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 2, 2020
    Dataset provided by
    Kaggle
    Authors
    Aditya Pawar
    License

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

    Description

    The dataset is aimed to gear up for a new season of fantasy epl football. Fantasy EPL is one the most widely played fantasy sports league in the world.

  18. Fantasy Sports Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
    + more versions
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    Dataintelo (2024). Fantasy Sports Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-fantasy-sports-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 23, 2024
    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

    Fantasy Sports Market Outlook



    In 2023, the global fantasy sports market size was valued at approximately USD 22.4 billion, and it is projected to reach around USD 48.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.9% during the forecast period. The growth of this market can be attributed to the increasing popularity of sports, advancements in digital platforms, and the rising engagement through social media channels.



    One of the main drivers of the fantasy sports market is the increasing accessibility and penetration of the internet globally. The availability of high-speed internet and the proliferation of smartphones have made it easier for users to participate in fantasy sports from anywhere and at any time. This convenience is a significant factor encouraging the adoption of fantasy sports platforms. Furthermore, the increasing adoption of 5G technology is expected to enhance user experience through faster data speeds and lower latency, further driving market growth.



    Moreover, the growing popularity of sports leagues and events acts as a significant catalyst for the fantasy sports market. Major sporting events like the NFL, NBA, and English Premier League have massive followings, and fantasy sports platforms capitalize on this by offering users the opportunity to engage more deeply with their favorite sports. Additionally, partnerships between fantasy sports platforms and professional sports leagues have increased credibility and attracted a larger user base, contributing to the market's expansion.



    The integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML) into fantasy sports platforms is also a significant growth factor. These technologies enable platforms to provide more personalized and engaging experiences for users. For instance, AI can analyze player statistics and trends to offer insights and recommendations, enhancing the strategic aspect of fantasy sports. This technological integration not only improves user experience but also attracts tech-savvy consumers to the platform.



    Regionally, North America remains the largest market for fantasy sports, driven by the high popularity of sports and the presence of major fantasy sports platforms. The region's strong sports culture and high disposable income levels contribute to the market's robust growth. Additionally, regulatory changes, particularly in the U.S. with the legalization of sports betting in several states, have positively impacted the fantasy sports market. This regulatory landscape is fostering a favorable environment for market growth.



    Type Analysis



    The fantasy sports market is segmented by type into Daily Fantasy Sports and Season-Long Fantasy Sports. Daily Fantasy Sports (DFS) have gained immense popularity due to their shorter duration and the instant gratification they offer. Users participate in fantasy leagues that last for just a day or a single game, making it a highly engaging and addictive format. DFS platforms have benefited from partnerships with major sports leagues and increased media coverage, which has significantly boosted their user base. The ability to win daily prizes has also attracted a substantial number of participants to DFS platforms.



    On the other hand, Season-Long Fantasy Sports have a traditional appeal, attracting users who prefer a long-term engagement with their fantasy teams. These platforms require participants to draft and manage their teams over an entire sports season, which involves a higher level of strategy and commitment. Season-Long Fantasy Sports have a loyal user base that enjoys the in-depth analysis and planning required to succeed over an extended period. This segment continues to thrive due to the immersive experience it offers.



    The growth of both segments is further fueled by the diversification of fantasy sports offerings. Platforms are continually introducing new features and game formats to keep users engaged. For instance, hybrid formats that combine elements of DFS and Season-Long leagues are gaining traction. These hybrid models offer the best of both worlds, providing the excitement of daily contests while maintaining the strategic depth of season-long leagues.



    Furthermore, marketing strategies and promotional activities play a crucial role in the growth of both Daily Fantasy Sports and Season-Long Fantasy Sports. Aggressive advertising campaigns, endorsements by sports celebrities, and lucrative sign-up bonuses have significantly increased user acquisition. Social media platfo

  19. Daily Fantasy Games Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Daily Fantasy Games Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/daily-fantasy-games-market
    Explore at:
    pptx, csv, pdfAvailable 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

    Daily Fantasy Games Market Outlook



    The global daily fantasy games market size was valued at approximately USD 20 billion in 2023 and is projected to reach around USD 70 billion by 2032, growing at a compound annual growth rate (CAGR) of 15.2% during the forecast period. The growth of this market is primarily driven by the increasing penetration of the internet and smartphones, which has facilitated greater access to online gaming platforms.



    One of the prominent growth factors in the daily fantasy games market is the rising adoption of smartphones and high-speed internet services. With improvements in network infrastructure, more users are able to access fantasy sports platforms anytime and anywhere, thereby boosting market growth. Additionally, the increasing popularity of major sports leagues and tournaments globally has driven fan engagement, which has consequently increased the user base for daily fantasy games. Enhanced fan experiences through fantasy sports have become a significant revenue stream for sports leagues and teams, further fueling market growth.



    Another significant factor contributing to market expansion is the growing acceptance of daily fantasy sports as a legal and regulated form of gaming in several regions. Governments and regulatory bodies have started recognizing the potential revenue generation from this industry, leading to more favorable regulations. This regulatory support has attracted investments from major corporations and venture capitalists, encouraging innovation and development within the sector. Additionally, partnerships between daily fantasy sports platforms and traditional sports organizations have legitimized and popularized these platforms, allowing them to reach a broader audience.



    Technological advancements, such as artificial intelligence (AI) and machine learning (ML), are also playing a pivotal role in the growth of the daily fantasy games market. These technologies are being used to enhance user experience by providing personalized recommendations, real-time data analytics, and accurate predictive models. The integration of blockchain technology to ensure transparency and security in transactions and data handling is another technological trend driving market growth. Furthermore, the increasing popularity of esports and virtual sports is expanding the horizon for fantasy sports, offering new avenues for user engagement and monetization.



    From a regional perspective, North America currently holds the largest share in the daily fantasy games market, owing to the high popularity of sports like football and basketball, coupled with favorable legal frameworks. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period due to the burgeoning internet user base, rising disposable incomes, and increasing interest in sports and online gaming. Europe also shows significant potential, driven by the popularity of soccer and regulatory advancements that are gradually aligning with North American standards.



    Online Football Games have become a significant component of the daily fantasy games market, particularly with the rise of digital platforms that allow fans to engage with their favorite sports in innovative ways. These games offer a dynamic and interactive experience, enabling users to create virtual teams and compete against others based on real-world football matches. The accessibility of online platforms has democratized participation, allowing fans from all over the world to engage in fantasy football. This has not only increased fan interaction but also provided a new revenue stream for sports organizations and fantasy sports platforms alike. The integration of real-time data and analytics in online football games enhances user engagement, making them a popular choice among fantasy sports enthusiasts.



    Game Type Analysis



    The daily fantasy games market can be segmented by game type into football, baseball, basketball, hockey, golf, soccer, and others. Football, particularly American football, holds a significant share in the market, primarily driven by the popularity of the National Football League (NFL) in North America. The NFL's massive fan base translates into a substantial user base for daily fantasy football games. The integration of fantasy football with real-time data and analytics enhances user engagement, making it the most popular game type in this segment.



    Baseball is another key segment in the daily fa

  20. Daily Fantasy Sports Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Growth Market Reports (2025). Daily Fantasy Sports Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/daily-fantasy-sports-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Daily Fantasy Sports Market Outlook



    According to our latest research, the global Daily Fantasy Sports market size in 2024 stands at USD 29.5 billion, reflecting robust engagement across digital platforms worldwide. The market is growing at a steady CAGR of 13.2% from 2025 to 2033, projected to reach a value of USD 83.1 billion by the end of the forecast period. The expansion is primarily driven by increasing smartphone penetration, the proliferation of internet connectivity, and the growing popularity of fantasy sports among younger demographics. These factors, combined with advancements in mobile application technology and the integration of real-time data analytics, are significantly propelling the Daily Fantasy Sports (DFS) market forward.




    A key growth factor for the Daily Fantasy Sports market is the surge in digital transformation within the sports entertainment industry. The widespread adoption of smartphones and the increasing accessibility of high-speed internet have made it easier for users to participate in DFS platforms from virtually anywhere. This digital shift has not only broadened the reach of fantasy sports but has also enhanced user engagement through innovative features such as live drafts, player statistics, and instant rewards. Additionally, the integration of artificial intelligence and machine learning algorithms has enriched the user experience by providing personalized recommendations, predictive analytics, and seamless gameplay, thereby attracting a larger and more diverse user base.




    Another significant driver is the evolving legal landscape surrounding sports betting and fantasy sports, particularly in North America and parts of Europe. Regulatory relaxations and the formal recognition of fantasy sports as a skill-based activity have encouraged new entrants and investments in the market. This has led to the emergence of a competitive ecosystem where operators are incentivized to deliver superior platforms, innovative game formats, and attractive prize pools. The result is a virtuous cycle of user acquisition, retention, and monetization, which continues to fuel the growth of the Daily Fantasy Sports market on a global scale.




    Moreover, the increasing popularity of major sporting events such as the FIFA World Cup, the Super Bowl, and the Indian Premier League (IPL) has created significant spikes in DFS participation. These events not only draw in seasoned fantasy sports enthusiasts but also attract casual fans looking for a more interactive and immersive experience. The ability to create teams, compete with friends or strangers, and win real-world prizes adds a layer of excitement that traditional sports viewing cannot match. This trend is further amplified by strategic partnerships between DFS operators and sports leagues, teams, and media companies, which enhance visibility and drive user engagement through integrated marketing campaigns and exclusive content.




    Regionally, North America continues to dominate the Daily Fantasy Sports market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The high level of sports fandom, favorable regulatory environment, and the presence of leading DFS operators such as DraftKings and FanDuel contribute to North America's leadership position. Europe is witnessing rapid growth due to the rising popularity of football (soccer) and the increasing legalization of fantasy sports platforms. Meanwhile, Asia Pacific is emerging as a lucrative market, driven by the growing interest in cricket and soccer, expanding internet infrastructure, and a young, tech-savvy population. As the market matures, regional dynamics are expected to evolve, with Latin America and the Middle East & Africa also presenting untapped growth opportunities.





    Platform Analysis



    The Daily Fantasy Sports market is segmented by platform into web-based and mobile-based solutions, with each playing a pivotal role in market expansion. The web-based segment initially dominated the market, leveraging established desktop and laptop

Share
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Reeve Barreto (2024). Fantasy Premier League Player Data (2016-2024) [Dataset]. https://www.kaggle.com/datasets/reevebarreto/fantasy-premier-league-player-data-2016-2024
Organization logo

Fantasy Premier League Player Data (2016-2024)

Fantasy Premier League Player Performance: Gameweek Data (2016-2024)

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 14, 2024
Dataset provided by
Kaggle
Authors
Reeve Barreto
License

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

Description

This dataset provides an archive of Fantasy Premier League (FPL) player performance data for eight seasons, spanning from 2016-2024.

The data was originally collected from https://github.com/vaastav/Fantasy-Premier-League, a public repository for FPL data.

The dataset has been meticulously cleaned and processed to ensure accuracy and consistency. This may include handling missing values, correcting inconsistencies, and standardizing formats.

The dataset includes a wide range of player statistics captured on a gameweek-by-gameweek basis. This allows you to analyze trends, identify patterns, and gain valuable insights into player performance.

This dataset can be a powerful tool for FPL enthusiasts and data scientists alike. Here are some potential applications: - Trend Analysis: Identify historical trends in player performance across different seasons and positions. - Predictive Modeling: Develop machine learning models to predict player points, performance, and transfers. - Informed Team Selection: Make data-driven decisions to optimize your FPL team for each gameweek. - Comparative Analysis: Compare player statistics across seasons and positions to uncover hidden gems and potential breakout stars.

Using this dataset, you can gain a deeper understanding of FPL player performance and enhance your decision-making for the upcoming season.

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