NFL

NFL on AWS

The NFL uses the power of AWS Machine Learning to create a better experience for fans, players, and teams.


Why the NFL Chooses AWS

AWS is conducting the majority of Machine Learning (ML) being done in the cloud today. The NFL uses the power of AWS ML to create new stats and improving player health and safety, while creating a better experience for fans, players, and teams, all in real time.

Machine Learning

Machine Learning

Building a Digital Athlete: Using AI to rewrite the playbook on NFL player safety

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Data Dashboards

Data Dashboards

The NFL uses Amazon QuickSight to organize and analyze real-time data captured during games.

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Flexible Compute

Flexible Compute

The NFL uses thousands of Amazon EC2 Spot Instances to save millions of dollars and thousands of hours when building the annual season schedule.

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Applying Machine Learning to Data

By leveraging AWS’s broad range of cloud-based Machine Learning capabilities, the NFL is taking game-day to the next level—so that fans, broadcasters, coaches, and teams can benefit from deeper insights. Training data from traditional box score statistics runs through hundreds of processes within seconds with the output fed into Amazon SageMaker. These models are used in real-time during games to generate outputs such as formations, routes, and events.

Applying machine learning to data
Applying machine learning to data

NFL Big Data Bowl

See how the NFL’s Next Gen Stats team contributes to the Big Data Bowl and leverages AWS GenAI Innovation Center team to build new AI and Machine Learning stats each season.


Exclusive interview with Michael Lopez, Big Data Bowl co-founder and NFL Senior Director of Data and Analytics.

Read the blog »

Pressure Probability Timeline Infographic

A Timeline of the Making of Pressure Probability

AWS + Next Gen Stats Unveil New Pressure Probability Stat 

Leveraging concepts from the 2023 Big Data Bowl, see how AWS trained a series of ML models on more than 90,000 passing plays over the last 5 years to better captures QB pressure and how it evolves over the course of a dropback.

Anatomy of Pressure

Leveraging concepts from the 2023 Big Data Bowl, see how AWS engineers trained a series of ML models on more than 90,000 passing plays over the last 5 years to better capture QB pressure and how it evolves over the course of a dropback.

See How Pressure Probability Plays Out on the Field 

How AWS is Powering the NFL

How AWS is Powering the NFL

"A global data science competition that looks to address unanswered football questions. Over the last 5 years, more than 15 Next Gen Stats started as Big Data Bowl submissions."  - Mike Lopez Sr. Director of Data and Analytics - NFL

Big Data Bowl

"A global data science competition that looks to address unanswered football questions. Over the last 5 years, more than 15 Next Gen Stats started as Big Data Bowl submissions."

- Mike Lopez
Sr. Director of Data and Analytics - NFL

“The AWS ML teams bring solutions and techniques that we've never seen before and, combined with our football expertise and experience productionizing stats, we continue to have success every time we create a new metric.”  - Mike Band Next Gen Stats

Next Gen Stats

“The AWS ML teams bring solutions and techniques that we've never seen before and, combined with our football expertise and experience productionizing stats, we continue to have success every time we create a new metric.”

- Mike Band
Next Gen Stats

“Data is only increasing. So, putting systems in place to handle this data is critical to stay on the cutting edge of player analytics.”  - Patrick Ward Head of Research and Analytics - Seattle Seahawks

Seattle Seahawks

“Data is only increasing. So, putting systems in place to handle this data is critical to stay on the cutting edge of player analytics.”

- Patrick Ward
Head of Research and Analytics - Seattle Seahawks

Predicting Player Injury with the Digital Athlete | Amazon Web Services

Player Health & Safety

“Our end goal is to be able to predict and prevent injuries working with AWS."

- Jennifer Langton
SVP of Health and Safety Innovation - NFL

AWS Services Powering Next Gen Stats

Machine learning for every data scientist and developer
Resizable compute capacity in the cloud
Secure, durable, and scalable object storage infrastructure
Compute service that runs your code in response to events and automatically manages the compute resources
Securely deliver content with low latency and high transfer speeds
Web service that makes it easy to deploy, operate, and scale an in-memory cache in the cloud
Fast and flexible NoSQL database with seamless scalability
Easily run and scale Apache Spark, Hive, Presto, and other big data workloads
Powers data-driven organizations with unified business intelligence at hyperscale

See How the NFL Engages AWS

The league has built several Machine Learning stats on AWS, each of which relies on different data points. Here are just a few examples. To see more, visit nextgenstats.nfl.com


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