Harvard Data Science Review Podcast
If You Want to Be a Data Scientist (or a Player) for the NFL, This Is for You…
Sep 27, 2024
Explore how data science and AI revolutionize the NFL! Discover the most underutilized data that can give teams an edge. Delve into the balance of human instinct and AI analysis in game strategy. Learn about the evolution of data collection techniques, from grassroots to advanced technologies. Understand the impact of player safety initiatives and the complexities of drafting college quarterbacks. Finally, gain insights on essential skills for aspiring sports analysts looking to break into this competitive field.
32:32
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Quick takeaways
- Data science has dramatically transformed NFL strategies by providing real-time player insights through automation and advanced analytics using embedded technologies.
- The balance between human instinct and AI analytics is crucial in the NFL, highlighting the importance of interpreting data alongside experienced decision-making.
Deep dives
Evolution of Data Science in the NFL
Data science has increasingly transformed how the NFL approaches game strategy and player analysis. The introduction of Next Gen Stats in collaboration with Amazon Web Services in 2017 allowed the league to enhance data collection significantly, transitioning from basic box scores to complex datasets. Coaches now utilize automated systems that analyze player movements using embedded chips in their pads, providing real-time insights such as speed and positioning. This evolution not only makes data more accessible to teams and fans but also reveals trends and patterns that were previously untracked.
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