Daily Fantasy Sports Data
Buy and sell daily fantasy sports data data. Salary data, ownership percentages, and optimal lineup analysis — the DFS strategy data.
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Find Me This Data →Overview
What Is Daily Fantasy Sports Data?
Daily Fantasy Sports (DFS) data encompasses the strategic information that powers competitive fantasy sports platforms: player salary data, ownership percentages, lineup optimization metrics, and real-time performance analytics. This data fuels the decision-making of amateur and professional players competing in fast-paced contests across football, basketball, baseball, hockey, and soccer. The global daily fantasy sports market reached $22 billion in 2023 and is projected to grow to $48 billion by 2032, with a compound annual growth rate of 9%, driven by rising sports viewership, mobile adoption, and AI-powered analytics platforms. DFS data providers serve both individual competitors seeking strategic advantages and institutional buyers developing proprietary algorithms.
Market Data
$22 billion
DFS Market Size (2023)
Source: DataIntelo
$48 billion
Projected Market Size (2032)
Source: DataIntelo
9%
Market CAGR (2023–2032)
Source: DataIntelo
33.5%
North America Market Share (2025)
Source: Global Market Insights
Who Uses This Data
What AI models do with it.do with it.
Amateur Fantasy Competitors
Individual players seeking real-time player statistics, predictive insights, and personalized lineup recommendations to optimize contest performance across multiple sports.
Professional DFS Players
Experienced competitors and syndicates using advanced analytics engines, historical performance data, and salary cap optimization tools to identify profitable contests and build winning lineups.
DFS Platform Operators
Companies like DraftKings, FanDuel, and ESPN Fantasy Sports leveraging salary data, ownership percentages, and player performance metrics to design contests and manage contest structure.
Data Analytics & AI Teams
Organizations developing machine learning models and predictive algorithms that integrate real-time DFS data to deliver personalized recommendations and enhance user engagement.
What Can You Earn?
What it's worth.worth.
Real-Time Salary & Lineup Data
Varies
Pricing depends on data frequency (hourly vs. daily updates), sports coverage breadth, and historical depth of dataset.
Ownership & Exposure Analytics
Varies
Advanced ownership distribution data and exposure metrics command premium pricing, especially for professional-tier subscribers.
Predictive & Optimization Models
Varies
Processed insights including optimal lineup suggestions and player performance predictions vary based on sports type and update frequency.
What Buyers Expect
What makes it valuable.valuable.
Real-Time Data Accuracy
Player salary updates, injury status, and game-time decisions must reflect current conditions. Professional buyers require sub-minute latency and verification against official league sources.
Multi-Sport Coverage
Comprehensive data across NFL, NBA, MLB, NHL, and soccer. Buyers expect consistent data architecture and availability across all major sports types and contest formats.
Historical Performance & Trends
Depth of historical player data, season-long statistics, and ownership history enable users to build effective predictive models and benchmark performance.
API Reliability & Integration
Professional teams and platform operators require stable, well-documented APIs with guaranteed uptime, especially during high-stakes contests and major sporting events.
Companies Active Here
Who's buying.buying.
Operates large-scale DFS contests across multiple sports, using salary data, ownership metrics, and player analytics to structure contests and manage pricing.
Major DFS platform acquiring real-time player data, salary information, and performance metrics to power daily contests and personalized player recommendations.
Integrates DFS data including salary caps, player projections, and ownership distribution into season-long and daily contest offerings across major sports.
Leverages salary data, player performance analytics, and real-time statistics to support both season-long and daily fantasy contests.
FAQ
Common questions.questions.
What types of DFS data are most valuable?
Real-time player salary data, ownership percentages, injury updates, and performance projections are core. Advanced buyers also value historical lineups, exposure analytics, and AI-generated optimal lineup suggestions that integrate predictive modeling.
Who buys DFS data and why?
Amateur and professional DFS competitors purchase data to optimize their contest entries. Platform operators like DraftKings and FanDuel buy salary and performance data to structure contests. Data analytics teams use DFS data to train machine learning models that predict player performance.
How fast must DFS data updates be?
Professional buyers require near real-time updates, especially for injury reports and game-time roster changes. Most platforms need updates within minutes to stay competitive. Historical and reference data can be updated daily, but live contest data demands sub-minute latency.
Which sports generate the most DFS data demand?
Football (NFL), basketball (NBA), and baseball (MLB) drive the largest volume of DFS activity and data consumption. Soccer and hockey represent smaller but growing segments. North America accounts for 33.5% of the global fantasy sports market, with the US DFS market embedded in strong sports culture.
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