AWS and the NHL Unveil New Face-off Probability Stat to Bring Hockey Fans Closer to the Action on the Ice

New machine learning stat predicts which player is more likely to win a face-off before the puck is dropped

SEATTLE–(BUSINESS WIRE)–Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), and the National Hockey League (NHL) today announced Face-off Probability, a live, in-game NHL stat that will be displayed as a graphic that instantly shows the odds of a player winning a face-off and possession of the puck and displays them on screen for fans watching the broadcast of the game. Before the puck is dropped in a face-off, the Face-off Probability machine learning (ML) model identifies where on the ice a face-off is going to occur, and who will take the face-off, and determines the probability of each player winning the draw.

When play stops, the Face-off Probability model begins generating win probabilities for players who it predicts will take the upcoming face-off. The probabilities are based on metrics including the players on the ice, face-off location, and current game situation. Face-off Probability is one of the first ML driven stats developed for NHL Edge IQ, powered by AWS. Fans can learn more about how AWS is transforming the hockey industry with the NHL on the AWS NHL site.

The face-off is one of the most anticipated and contested moments in hockey. Late in the third period of a close game, when two players are face to face on the ice, waiting for the puck to drop deep in the zone, the tension is palpable. Whichever player wins possession can swing the momentum to his team and directly impact the game’s outcome. With Face-off Probability, fans and broadcasters now have data to back up their predictions and determine which player is most likely to win.

“We’re excited to showcase Face-off Probability as part of NHL Edge IQ,” said Dave Lehanski, NHL Executive Vice President, Business Development and Innovation. “Applying AWS’s machine learning services to game footage and official NHL data allows us to develop and share such analytics and insights as Face-off Probability, which provide new in-game analysis and predictions to enhance live broadcasts and take fans deeper into the game.”

The NHL’s new ML-driven Face-off Probability model, powered by AWS technology and created in partnership with the AWS ML Solutions Lab, uses cloud capabilities such as analytics, storage, serverless compute, and media services to determine a player’s probability of winning a face-off and then immediately flashes the probability as a graphic on the live game broadcast for viewers. Using Amazon SageMaker (AWS’s service for building, training, and deploying ML models quickly in the cloud and at the edge), Amazon Kinesis (a service that makes it easy to collect, process, and analyze real-time, streaming data), and Amazon Simple Storage Service (Amazon S3), the NHL can gather data from the ice in real time, then analyze and visualize it for fans.

The NHL and AWS built the ML model for this new stat using the NHL’s Puck and Player Tracking data, along with data from hundreds of thousands of face-offs from over 10 years of historical NHL Hockey Information and Tracking System (HITS) stats. This data source was significantly varied and complex, incorporating such information as a player’s home and away face-off statistics; head-to-head matchup history; player characteristics such as height, weight, and handedness; and game context such as the face-off location, game score, and face-off time. This combination of historical success rates, player matchup characteristics, and game context brings together HITS and puck and player tracking data to provide a complete perspective for a face-off’s dynamics.

The Face-off Probability model is also flexible, adapting predictions based on changes to the game situation. For example, if a player is waived out of the face-off due to a violation, the model updates the prediction to the new matchup based on the real-time puck and player tracking streaming sensor data at sub-second latency. The model can also determine if a team’s probability of winning a face-off decreases or increases when the primary center player is waived out of the face-off in favor of a different player. This can highlight the importance of a particular player remaining in the face-off (pre-puck drop), adding a new point of analysis for NHL commentators and fans alike. In addition to providing the face-off win probability of the two players taking the face-off, the model provides information on other possible face-off combination pairings, including potential matchups that are most beneficial for each team. This information will be made available to on-air commentators to point out during the broadcast to enrich the fan viewing experience.

“One of the most important and least understood aspects of hockey is the battle over control of the puck during critical face-offs. This new stat brings the breadth and depth of AWS services to NHL data to better capture the details of gameplay for hockey fans, coaches, players, officials, and media partners,” said Matt Garman, Senior Vice President of Sales and Marketing at Amazon Web Services. “Sports serve as a great medium to bring the benefits of machine learning to life, and AWS is enhancing and enriching the NHL game experience through data, insights, and second-screen experiences that will make the sport more dynamic and engage a whole new generation of hockey fans.”

AWS entered a partnership with the NHL as the Official Cloud, Artificial Intelligence, and Machine Learning Infrastructure Provider of the league in February 2021, and the NHL and AWS also released shot and save analytics at the 2021 Stanley Cup Playoffs. The NHL will continue to introduce new analytics using AWS services and technology throughout the current season. Fans can learn more about how AWS is transforming the hockey industry with the NHL on the AWS NHL site.

About Amazon Web Services

For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 84 Availability Zones (AZs) within 26 geographic regions, with announced plans for 24 more Availability Zones and eight more AWS Regions in Australia, Canada, India, Israel, New Zealand, Spain, Switzerland, and the United Arab Emirates. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.

About the NHL

The National Hockey League (NHL^®), founded in 1917, consists of 32 Member Clubs. Each team roster reflects the League’s international makeup with players from more than 20 countries represented, all vying for the most cherished and historic trophy in professional sports – the Stanley Cup^®. Every year, the NHL entertains more than 670 million fans in-arena and through its partners on national television and radio; more than 191 million followers – league, team and player accounts combined – across Facebook, Twitter, Instagram, Snapchat, TikTok, and YouTube; and more than 100 million fans online at NHL.com. The League broadcasts games in more than 160 countries and territories through its rightsholders including ESPN, Turner Sports and NHL Network^MC in the U.S.; Sportsnet and TVA Sports in Canada; Viaplay in the Nordic Region; and CCTV and Tencent in China; and reaches fans worldwide with games available to stream in every country. Fans are engaged across the League’s digital assets on mobile devices via the free NHL^® App; across nine social media platforms; on SiriusXM NHL Network Radio™; and on NHL.com, available in eight languages and featuring unprecedented access to player and team statistics as well as every regular-season and playoff game box score dating back to the League’s inception, powered by SAP. NHL Original Productions and NHL Studios produce compelling original programming featuring unprecedented access to players, coaches and League and team personnel for distribution across the NHL’s social and digital platforms.

The NHL is committed to building healthy and vibrant communities using the sport of hockey to celebrate fans of every race, color, religion, national origin, gender identity, age, sexual orientation, and socio-economic status. The NHL’s Hockey Is For Everyone™ initiative reinforces that the official policy of the sport is one of inclusion on the ice, in locker rooms, boardrooms and stands. The NHL is expanding access and opportunity for people of all backgrounds and abilities to play hockey, fostering more inclusive environments and growing the game through a greater diversity of participants. To date, the NHL has invested more than $100 million in youth hockey and grassroots programs, with a commitment to invest an additional $5 million for diversity and inclusion programs over the next year.

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