AWS X NFL Big Data Bowl #9 | Check-In #3
Details
The 2027 Big Data Bowl has begun [submission date Jan 6]
Unveiled to the public is hauntingly large trove of NFL's Next Gen Stats powered by AWS. 3 years of player-tracking data largely currently available for hundreds of athletes, apparently including including Travis Hunter, Drake Maye, Troy Franklin, and Cam Skattebo
Join us to check-in and discuss your work, get started on your effort, or just be a fly-on the wall to ask questions
No Machine Learning, programming, or football background needed. Principles apply to other sports science and human movement domains. As NFL Network judge Cynthia Frelund puts it, the goal isn't box-score statistics—it's process over outcome. If you can read a scatterplot, you can build a model, compete, and build a career
Thanks to all the Data Scientists across the USA & globe who joined and contributed to our conversation diving into the NFL Big Data Bowl last month. $100,000 in cash prizes, trips for students, and, according to our unofficial napkin math during the meetup, a 10% hire rate of participants into sports analytics positions
You are challenged to design position-specific player development protocols. Uncover actionable linkages between 10 Hz Combine sensor tracking data and NFL game performance. Help coaches and evaluators identify hidden talent
Open mic- questions, distractions & tangents welcome
Esta sesión será en inglés. Si quieres apoyar como voluntario con traducción al español o LSE para sesiones, escríbele a Bryan 👐