tech
February 10, 2026
How AWS Harnesses ML for Real-Time Super Bowl Analysis
AWS powers a vast computational system that will transform every player movement at the Super Bowl into immediate insight through machine learning
TL;DR
- AWS technology processes player movement data from the Super Bowl in real-time using machine learning.
- Millions of positional data points are captured per game from RFID chips and ultra-wideband receivers.
- Next Gen Stats (NGS) converts this data into analytics in under a second.
- The NFL and AWS partnership shifted tracking from tactical to strategic use, introducing metrics like completion probability.
- AWS infrastructure, including SageMaker, Lambda, and QuickSight, underpins the NFL's analytics.
- Insights are provided to broadcasters, coaches, and analysts within seconds.
- NGS data influences player safety policies, officiating, and rule changes, such as the dynamic kickoff.
- The dynamic kickoff led to a 35% drop in lower-extremity injuries and increased return rates.
- New optical tracking systems with 4K cameras create 3D skeletal models of players.
- On-site AWS servers process data in milliseconds, with cloud-based ML models delivering insights within one second for the entire loop.
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