Fantasy Sports Data
Ownership percentages, lineup construction, and contest results from DFS -- the game-theory data that powers optimal lineup AI.
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Find Me This Data →Overview
What Is Fantasy Sports Data?
Fantasy Sports Data encompasses ownership percentages, lineup construction strategies, and contest results from Daily Fantasy Sports (DFS) platforms. This data forms the foundation of game-theory optimization, enabling players and AI systems to construct competitive lineups by analyzing player performance predictions, salary cap constraints, and matchup analysis. The market combines statistical modeling, machine learning algorithms, and probability calculations to drive strategic decision-making across mobile and web-based platforms. DFS platforms employ fraud detection systems, user engagement metrics, and expert analytics to maintain fair play while personalizing the user experience. Data suppliers and technology providers monetize lineup data, video, and content tools that power both major incumbents and emerging competitors, creating a data-intensive ecosystem where roster optimization and injury reporting drive competitive advantage.
Market Data
USD 13.09 billion
North America Market Size (2025)
Source: Mordor Intelligence
15.2% CAGR
Global Market Growth Rate (2025-2030)
Source: Grand View Research
USD 56.38 billion
Global Market Size Projection (2030)
Source: Grand View Research
21%+ of total fantasy sports
Football/Soccer Market Share (2024)
Source: Grand View Research
37% of global revenue (2024)
North America Regional Dominance
Source: Grand View Research
Who Uses This Data
What AI models do with it.do with it.
DFS Platform Operators
DraftKings, FanDuel, and Yahoo Fantasy leverage lineup construction data, ownership percentages, and contest results to power their platforms' recommendation engines and optimize user engagement through AI-driven personalization.
Lineup Optimization Software Providers
Technology suppliers use comprehensive player data, injury reporting systems, and statistical modeling to develop roster optimization algorithms that help users construct competitive lineups using salary cap management and value-based drafting strategies.
Sports Analytics & AI Companies
Data scientists and machine learning teams use matchup analysis, performance predictions, and historical contest data to build probability models and fraud detection systems that enhance fair play and detect user behavior anomalies.
Media & Sports League Partners
NFL, MLB, NBA, and other league partners integrate fantasy sports data into their digital products and streaming services, using engagement metrics and expert analytics to drive viewership and monetize their fan bases.
Pricing depends on the proposed terms
We do not have a verified, comparable price for your dataset. Consider the permitted uses, license term, exclusivity, provenance, coverage and quality. A seller asking price is a proposal, not an appraisal or guaranteed sale. Compare prices only when the source, date, currency, unit and license scope are known.
What Buyers Expect
What makes it valuable.valuable.
Real-Time Accuracy & Freshness
Ownership percentages, injury reports, and player news must be updated instantaneously to support live contest optimization and fraud detection systems.
Comprehensive Historical Data
Buyers require multi-season contest results, lineup construction patterns, and performance predictions to train machine learning models and develop statistical probability calculations.
Robust Data Validation
Anomaly detection, fraud monitoring, and user behavior analytics must identify suspicious patterns and maintain community trust in fair play and game integrity.
Cross-Platform Compatibility
Data must support integration across mobile applications, web-based platforms, and sports data API frameworks to enable seamless user experience personalization.
Regulatory Compliance
Data handling, KYC/AML compliance, and state-by-state regulatory adherence are critical as regulators expand oversight to cover 90%+ of the North American population.
Potential applications and organizations
Who's buying.buying.
Uses ownership percentages, lineup construction data, and contest results to power DFS platform recommendations, salary cap optimization, and user engagement personalization.
Leverages comprehensive player data, injury reporting, and matchup analysis to develop competitive lineups and differentiate via low-stakes contests and streamlined UX.
Technology suppliers monetizing data, video, and content tools that power both incumbent platforms and new entrants, offering modular offerings for roster optimization and statistical modeling.
Media partners integrating fantasy sports data and expert analytics into digital products and streaming services to drive viewership and user engagement.
Platform operator using lineup construction data, performance predictions, and user engagement metrics to optimize traditional season-long and daily fantasy experiences.
FAQ
Common questions.questions.
What drives the fantasy sports data market?
Key drivers include regulatory expansion across North America, smartphone and 5G penetration lifting mobile DFS traffic, AI-driven personalization raising user session length, and streaming of major sports packages widening the addressable market. Integration of machine learning algorithms and advanced analytics further accelerates adoption.
How is ownership data monetized in DFS?
Data suppliers and technology providers monetize ownership percentages, lineup construction data, and contest results through licensing agreements with platforms, analytics firms, and sports league partners. Pricing models vary based on data volume, real-time access, exclusivity, and integration scope.
What compliance challenges affect fantasy sports data providers?
Providers face state-by-state regulatory fragmentation, KYC/AML compliance requirements, and payments-network surcharges. As regulators expand oversight to cover 90%+ of the North American population by 2027, data handling and fraud detection systems must meet increasingly stringent standards.
Who are the dominant players in this market?
DraftKings and FanDuel (Flutter Entertainment) lead the North American market. Technology suppliers like Genius Sports and White Hat Studios provide modular data and analytics tools. Major league partners and media companies like ESPN and CBS Sports Digital also integrate fantasy sports data into their platforms.
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Describe your fantasy sports data and the uses you are authorized to offer. Price, legal suitability, and buyer interest require separate evaluation. No match or sale is guaranteed.
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