We will create a customized sports dataset tailored to your specific requirements. Data points may include player statistics, team rankings, game scores, player contracts, and other relevant metrics.

Utilize our sports datasets for a variety of applications to boost strategic planning and performance analysis. Analyzing these datasets can help organizations understand player performance and market trends within the sports industry, allowing for more precise team management and marketing strategies. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: enhancing player performance analysis, refining team strategies, and optimizing fan engagement efforts.

Over 9,000 images of sports balls from 15 different sports. These are: american football, baseball, basketball, billiard ball, bowling ball, cricket ball, football, golf ball, field hockey ball, hockey puck, rugby ball, shuttlecock, table tennis ball, tennis ball and volleyball.

Images were scraped from google images and then manually reviewed to remove misclassified images (although I might have missed some). Duplicates were removed using a dHash style algorithm. The train/test split is 80/20.

This is an interesting dataset because several images are misleading, e.g. some balls have been painted to look like other balls. See some examples below:

https://i.postimg.cc/jdHLWfbs/golf-ball-681-copy.jpg">

https://i.postimg.cc/85vT28k1/cricket-ball-1156.jpg">

https://i.postimg.cc/yYs7brMH/american-football-58.jpg">

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.

UCF Sports dataset consists of 150 videos from sport broadcasts covering 10 action categories.

'sports'

## Overview

'sports' is a dataset for classification tasks - it contains Cards annotations for 707 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Object Detection In Sports

## Overview

Object Detection In Sports is a dataset for object detection tasks - it contains Football Players annotations for 429 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Digital Card Magazine Dataset

This dataset contains sports card images and their associated metadata for training machine learning models in card recognition, text extraction, and value estimation.

  Dataset Description





  Dataset Summary

A comprehensive collection of sports card images and metadata, including:

Front and back card images OCR-extracted text with confidence scores AI-analyzed card attributes Card details (player, team, year, etc.) Vision API labels… See the full description on the dataset page: https://huggingface.co/datasets/GotThatData/sports-cards.

Sports Video Analysis

## Overview

Sports Video Analysis is a dataset for object detection tasks - it contains Objects annotations for 600 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Sports Analytics Market Outlook

According to our latest research, the sports analytics market size reached USD 4.2 billion in 2024, reflecting a strong momentum in the adoption of data-driven strategies by sports organizations worldwide. The market is projected to grow at a robust CAGR of 22.9% from 2025 to 2033, reaching an estimated USD 32.1 billion by 2033. This remarkable growth is primarily driven by the increasing need for competitive advantage, enhanced fan engagement, and the integration of advanced technologies such as AI and machine learning in sports operations. As per our latest research, the sports analytics market is poised for transformative expansion, fueled by the convergence of technology, sports performance, and business intelligence.

One of the primary growth factors for the sports analytics market is the escalating demand for performance optimization among professional sports teams and associations. With the stakes in global sports events rising each year, organizations are investing heavily in advanced analytics solutions to gain actionable insights into player performance, injury prevention, and tactical decision-making. The proliferation of wearable devices and sensors has enabled the collection of granular data on athletes’ physical and physiological parameters, which, when analyzed, offers a detailed understanding of strengths, weaknesses, and potential risks. This data-centric approach is revolutionizing traditional coaching methods and driving a paradigm shift toward evidence-based decision-making in sports management.

Another significant driver of the sports analytics market is the evolution of fan engagement strategies. In an era where digital interaction and personalized experiences define brand loyalty, sports organizations are leveraging analytics to understand fan preferences, behavior, and sentiment. By analyzing data from social media, ticket sales, and merchandise purchases, teams can tailor marketing campaigns, optimize ticket pricing, and enhance in-stadium experiences. The integration of real-time analytics during live events further empowers organizations to engage fans through interactive content, predictive insights, and immersive technologies such as augmented and virtual reality, thereby creating new revenue streams and strengthening fan loyalty.

The increasing adoption of cloud-based analytics platforms is also playing a pivotal role in the expansion of the sports analytics market. Cloud deployment offers scalability, cost-efficiency, and seamless access to advanced analytical tools, making it an attractive option for sports organizations of all sizes. The shift toward cloud solutions is enabling real-time data sharing and collaboration among stakeholders, from coaches and athletes to sports scientists and business managers. This technological advancement is not only democratizing access to sophisticated analytics but also accelerating the pace of innovation and adoption across different sports disciplines, from football and basketball to cricket and esports.

Regionally, North America continues to dominate the sports analytics market, accounting for over 38% of the global revenue in 2024, followed by Europe and Asia Pacific. The presence of major sports leagues, high investment in sports technology, and a mature digital infrastructure are key contributors to North America’s leadership position. However, the Asia Pacific region is witnessing the fastest growth, driven by the rising popularity of sports, increasing investments in professional leagues, and a growing emphasis on athlete development and fan engagement. Europe remains a strong contender, with established football clubs and federations actively embracing analytics to maintain competitive advantage and operational excellence.

Component Analysis

The sports analytics market is segmented by component into software and services, each playing a critical role in the ecosystem. Software solutions form the backbone of the market, providing advanced analytical tool

Track the status of more than $200 billion in sports rights deals across eight professional and college sports and 10 platforms. The Information's Sports Rights Database shows who controls the most important streaming deals and when they are up for renegotiation.

See our stories NBA Wants More in Sports Deals: Media and Tech Firms Are Resistant and Amazon in Talks With Disney About ESPN Streaming Partnership

Sports Analytics Market is Segmented by Sport (Football, Cricket, Basketball, and More), Component (Software, Services), Deployment (On-Premise, Cloud), End User (Sports Teams/Clubs, Leagues and Federations, Individual Athletes, Sports Betting Operators, Others), Geography. The Market Forecasts are Provided in Terms of Value (USD).

Data from a cross-sectional study with an analytical component to evaluate amateur athletes who practiced table tennis, basketball, and athletics and are part of the Peruvian Sports Institute of the district of Ica. Between October and November 2018, we evaluated 130 athletes selected for convenience, in continuous activity, and who practice sports such as tennis, basketball, and athletics.

Sports Equipment

## Overview

Sports Equipment is a dataset for object detection tasks - it contains Racket Person Cap annotations for 410 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).

Activity and attendance records from the "Summer Sports Experience" program, which provides sports instruction to children ages 8 to 14. This dataset contains information specific to the Summer Sports Experience programming from 2017 to 2021. For Summer Sports Experience Open Data from 2022 onwards, go here Learn more about this program on the NYC Parks website: Summer Sports Experience Note: Summer Sports Experience was on pause due to COVID-19 pandemic. The program resumed 2021.

Combat Sports Dataset

## Overview

Combat Sports Dataset is a dataset for object detection tasks - it contains Combat Sports 5fcE annotations for 9,344 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The database contains the physical characteristics and athletic performance of middle school students between the ages of 11 and 19. The data includes age, sex, weight, height, BMI, sprint and long jump performance. This database can be used for a number of research purposes: analysis of student performance, physical characteristics of adolescents, application of artificial intelligence in sport, etc.

Percentage of the adult population participating in sports taken from Sport England's Active People Survey.

The survey provides by far the largest sample size ever established for a sport and recreation survey and allows levels of detailed analysis previously unavailable. It identifies how participation varies from place to place and between different groups in the population.

The spreadsheet shows regional data for two measures:

• 1+ session a week (at least 4 sessions of at least moderate intensity for at least 30 minutes in the previous 28 days)

• 3+ sessions a week (at least 12 sessions of at least moderate intensity for at least 30 minutes in the previous 28 days)

The global sports industry revenue was forecast to grow in the coming years. In 2022, the industry’s revenue amounted to over 403 billion U.S. dollars and was expected to grow at a compound annual growth rate of 9.13 percent between 2022 and 2028. By 2028, the global sports market was expected to be worth over 680 billion U.S. dollars. This massive industry includes the people, activities, and organizations that are involved with producing, facilitating, or organizing sports activities.

How big is the global sports betting and lottery market?

In 2022, the market size of the sports betting and lottery sector worldwide was valued at around 235.46 billion U.S. dollars. This figure showed a decrease from the previous year's total of 242.82 billion and by 2023, the market was forecast to reach 242 billion. Sports betting is a type of gambling that refers to the activity of placing a wager on the outcome of a sporting event. Events on which wagers are made could be anything from more traditional activities like horse or dog racing, to sports such as soccer and American football.

How big is the global youth sports market?

The youth sports market is a big industry, ranging from organized sports leagues to recreational activities. In 2022, the global market for youth sports was estimated at 37.5 billion U.S. dollars. The market was forecast to increase at a compound annual growth rate of 9.2 percent and reach 69.4 billion U.S. dollars in 2030. Youth sports do not necessarily take place within the education system; however, many competitors involved with youth sports are generally at a primary or secondary level of education and participate in school-organized sport programs.

Sports Data Analytics Service Market Outlook

The global sports data analytics service market size was valued at approximately $2.3 billion in 2023 and is projected to reach around $6.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.6% during the forecast period. This robust growth is primarily driven by increased investments in sports technology, the rising importance of data-driven decision-making in sports, and the growing adoption of advanced analytics to enhance player performance and fan engagement.

The surge in the adoption of sports data analytics is attributed to the increasing competitive nature of sports, where teams and individual athletes are leveraging data to gain a strategic edge. Data analytics provides insights into player performance, injury risks, and optimal training regimens, which can significantly impact the outcomes of games and overall team performance. This, coupled with the rising investments in sports technology, is propelling the market growth. Additionally, the growing popularity of fantasy sports and sports betting has further fueled the demand for real-time data analytics to make informed decisions.

Another significant growth factor is the rising focus on enhancing fan engagement and experience. Sports organizations are increasingly using data analytics to understand fan preferences, behavior, and sentiment. This information is crucial for tailoring marketing strategies, improving fan interactions, and ultimately increasing revenue from ticket sales, merchandise, and digital platforms. The integration of advanced technologies, such as artificial intelligence (AI) and machine learning (ML), is also enabling more sophisticated data analysis, driving further growth in the market.

Performance Analytics plays a crucial role in the sports data analytics service market, offering teams and athletes the ability to delve deeper into their performance metrics. By leveraging performance analytics, sports organizations can track and analyze various aspects of athletic performance, from speed and agility to endurance and skill execution. This data-driven approach not only aids in identifying areas for improvement but also helps in crafting tailored training programs that enhance overall performance. The integration of performance analytics into sports strategies allows for a more comprehensive understanding of both individual and team dynamics, ultimately leading to more informed decision-making and competitive advantages on the field.

Moreover, the healthcare and fitness tracking aspects of sports data analytics are gaining traction. With a growing emphasis on athlete health and well-being, sports teams are using data analytics to monitor players' physical conditions, predict injuries, and design personalized training programs. This proactive approach not only enhances performance but also extends players' careers and reduces healthcare costs. The increasing availability of wearable devices and IoT sensors is further supporting the collection and analysis of health-related data.

Regionally, North America is expected to dominate the sports data analytics service market, driven by the presence of major sports leagues, high technological adoption, and substantial investments in sports analytics. Europe is also anticipated to witness significant growth, supported by the increasing popularity of sports analytics among football clubs and other sports organizations. The Asia Pacific region is expected to emerge as a lucrative market due to the growing sports industry and rising investments in sports technology in countries like China, India, and Japan.

The rise of Fantasy Sports Service has significantly contributed to the growing demand for sports data analytics. Fantasy sports enthusiasts rely heavily on real-time data and analytics to make informed decisions about player selections and game strategies. This burgeoning interest in fantasy sports has prompted sports organizations and analytics firms to develop more sophisticated data solutions that cater to the unique needs of fantasy sports players. By providing detailed player statistics, performance forecasts, and injury updates, fantasy sports services enhance the user experience and engagement, driving further growth in the sports data analytics market. The intersection of fantasy sports and data analytics continues to open new avenues for innovation and fan in

Comprehensive dataset of 2 Sports in South Carolina, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.