Houston Texans Draft Picks Game Data Analysis: AWS X NFL Big Data Bowl #9

About this event

The 2027 Big Data Bowl has begun (https://www.kaggle.com/competitions/nfl-big-data-bowl-2027) [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, Tank Dell, Will Anderson, & Dylan Horton 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 (https://www.nfl.com/author/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 (https://github.com/aws-samples/aws-data-driven-sports), compete, and build a career (https://nextgenstats.nfl.com/) 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 👐