AWS Machine Learning Blog
Category: Sports
Identifying defense coverage schemes in NFL’s Next Gen Stats
This post is co-written with Jonathan Jung, Mike Band, Michael Chi, and Thompson Bliss at the National Football League. A coverage scheme refers to the rules and responsibilities of each football defender tasked with stopping an offensive pass. It is at the core of understanding and analyzing any football defensive strategy. Classifying the coverage scheme […]
Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS
Today, the NFL is continuing their journey to increase the number of statistics provided by the Next Gen Stats Platform to all 32 teams and fans alike. With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their […]
Analyze and visualize multi-camera events using Amazon SageMaker Studio Lab
The National Football League (NFL) is one of the most popular sports leagues in the United States and is the most valuable sports league in the world. The NFL, BioCore, and AWS are committed to advancing human understanding around the diagnosis, prevention, and treatment of sports-related injuries to make the game of football safer. More […]
Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games
Face-off Probability is the National Hockey League’s (NHL) first advanced statistic using machine learning (ML) and artificial intelligence. It uses real-time Player and Puck Tracking (PPT) data to show viewers which player is likely to win a face-off before the puck is dropped, and provides broadcasters and viewers the opportunity to dive deeper into the […]
Bundesliga Match Fact Pressure Handling: Evaluating players’ performances in high-pressure situations on AWS
Pressing or pressure in football is a process in which a team seeks to apply stress to the opponent player who possesses the ball. A team applies pressure to limit the time an opposition player has left to make a decision, reduce passing options, and ultimately attempt to turn over ball possession. Although nearly all […]
Bundesliga Match Fact Win Probability: Quantifying the effect of in-game events on winning chances using machine learning on AWS
Ten years from now, the technological fitness of clubs will be a key contributor towards their success. Today we’re already witnessing the potential of technology to revolutionize the understanding of football. xGoals quantifies and allows comparison of goal scoring potential of any shooting situation, while xThreat and EPV models predict the value of any in-game […]
Optimize F1 aerodynamic geometries via Design of Experiments and machine learning
FORMULA 1 (F1) cars are the fastest regulated road-course racing vehicles in the world. Although these open-wheel automobiles are only 20–30 kilometers (or 12–18 miles) per-hour faster than top-of-the-line sports cars, they can speed around corners up to five times as fast due to the powerful aerodynamic downforce they create. Downforce is the vertical force […]
Live transcriptions of F1 races using Amazon Transcribe
The Formula 1 (F1) live steaming service, F1 TV, has live automated closed captions in three different languages: English, Spanish, and French. For the 2021 season, FORMULA 1 has achieved another technological breakthrough, building a fully automated workflow to create closed captions in three languages and broadcasting to 85 territories using Amazon Transcribe. Amazon Transcribe […]
Automatically detect sports highlights in video with Amazon SageMaker
Extracting highlights from a video is a time-consuming and complex process. In this post, we provide a new take on instant replay for sporting events using a machine learning (ML) solution for automatically creating video highlights from original video content. Video highlights are then available for download so that users can continue to view them […]
The development of Bundesliga Match Fact Passing Profile, a deep dive into passing in football
This post was authored by Simon Rolfes. Simon played 288 Bundesliga games as a central midfielder, scored 41 goals, and won 26 caps for Germany. Currently, he serves as Sporting Director at Bayer 04 Leverkusen, where he oversees and develops the pro player roster, the scouting department, and the club’s youth development. Simon also writes […]