Find answers to common questions about HooperLabs and its basketball analytics tools.
HooperLabs is a comprehensive ecosystem of basketball analytics tools designed to provide deeper insights into player performance, team dynamics, and contract valuations. Created by a basketball enthusiast and data engineer (that's me!), HooperLabs aims to transform raw basketball statistics into meaningful insights through advanced analytics, creating advanced, custom metrics that are accessible to fans, analysts, and decision-makers without requiring deep technical knowledge of the game.
HooperLabs was created by James M. Ezeilo (also me!), a data engineer, recent college graduate, and basketball enthusiast. With a background in information technology and data analytics, James combined his technical skills with his passion for basketball to develop a platform that provides deeper insights into the game. You can learn more about James on the Creator page.
No, HooperLabs is an independent platform and is not officially affiliated with the NBA or any professional basketball organizations. HooperLabs uses publicly available data to create its analytics and insights. All team logos, player images, and related NBA content are property of their respective owners and are used for informational purposes only.
You're more than welcome to provide feedback and suggestions! You can use the button below or through any of the social media channels you see listed at the bottom of the page. Your input helps to improve HooperLabs and develop new features that meet the needs of basketball enthusiasts and analytics professionals!
HooperData is the comprehensive basketball database that powers all the analytics tools within the HooperLabs ecosystem. It features automated data scraping and processing capabilities, collecting statistics from various sources to provide a robust foundation for advanced analysis. HooperData serves as the backbone for all the insights, visualizations, and comparisons offered through HooperLabs' various tools.
HooperLabs sources its data from publicly available basketball statistics websites like Basketball-Reference, NBA.com, and other reliable sources. The automated data pipelines collect, clean, and process this information routinely to ensure the most up-to-date statistics are available. The raw data is then transformed to create the advanced metrics and insights in each project featured on HooperLabs.
HooperLabs updates its data daily, weekly, and monthly during the NBA season. This includes player statistics, team performance data, and any changes to player contracts or team rosters. During the off-season, updates occur less frequently but still capture significant events like trades, draft picks, and free agent signings as they happen.
The HooperLabs ecosystem currently includes seven specialized basketball analytics tools:
• NCAA Player Scouter: Evaluate college players using advanced
statistical models to project their NBA potential.
• NBA Comparison Tool: Compare NBA players across various statistical
categories, advanced metrics, and historical data.
• NBA GOAT Calculator: Rank the greatest NBA players of all time based
on customizable criteria and weighted metrics.
• HooperDNA: Find statistical player comparisons by analyzing college
and NBA player performance data.
• HooperImpact: Assess a player's impact on team performance using
advanced analytics and custom metrics.
• NBA Dead Cap Tracker: Track financial losses from player inactivity
and salary cap hits.
• HooperROI: Analyze player contracts and performance to determine
value, efficiency, and overpay metrics.
These tools are updated regularly based on user feedback and any emerging trends in
basketball analytics.
HooperLabs tools can analyze both current and historical data. Users can examine specific seasons, multiple-season ranges, playoff performances, or career-long statistics. This flexibility allows for comprehensive analysis across different time periods, making it possible to track player development, identify performance trends, and make meaningful comparisons across different eras of basketball.
Without giving away too much...possibly.
Nope! While paid API access is currently in the works, simply accessing the site and its featured projects is completely free.
Yes, HooperLabs and its featured web-apps is fully responsive and optimized for mobile phones and tablets. The tools and visualizations adapt to different screen sizes to ensure a good user experience across all devices. Some complex data visualizations may display better on larger screens, but core functionality is maintained across all devices.
Getting there! API access is in the works and will be paid access for devs (like me!) that want to build off of the projects featured on HooperLabs.
Fill out the form using the button below if you have feedback!
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