Aws X Nfl Big Data Bowl

Compete in the NFL Big Data Bowl, powered by AWS, and use real game data to build new AI-powered stats that shape the future of football. Choose between two new competition tracks for 2025. The NFL Big Data Bowl is an annual sports analytics contest from NFL Football Operations that invites everyone from college students to data pros to evolve how the NFL uses advanced analytics. In its 8th year, this year's competition focuses on predicting player movement and is open through December 2025. Follow these three steps for the best submission. Enter the 2026 NFL Big Data Bowl competition, and get ready to start building.Choose from two tracks:Leaderboard Track: Build the most accurate movement-prediction model, tested on plays from future games.

Sign up for Leaderboard TrackData Visualization Track: Tell the story through compelling visuals, tools, or interactive experiences. Your guide to the NFL Big Data Bowl competition: expert submission tips, track options, and AWS tools to get started. The annual analytics contest explores statistical innovations in football — how the game is played and coached. To date, more than 75 Big Data Bowl participants have been hired in data and analytics roles in sports. The crowd-sourced competition uses data and technology to spur innovation that results in creating new insights, making the game more exciting for fans and protecting players from unnecessary risk. Powered by Amazon Web Services (AWS), contestants use traditional football data and Next Gen Stats to analyze and rethink trends and player performance, while also advancing the way football is played and coached.

The Big Data Bowl aims to engage and empower the football analytics community to drive innovation. Interested participants can use the links below to register: The NFL has opened applications for its eighth-annual Big Data Bowl, powered by Amazon Web Services. Participants for this latest installment will use Next Gen Stats, the NFL’s player tracking data, to create predictive movement insights using data from the 2023 and 2024 NFL seasons. Those findings will then be fact-checked against live data produced during the window of Week 14-18 this season. Prior Big Data Bowl contests have centered on topics such as:

Finalists will be announced in early 2026, with the winning person/group earning a shared $100,000 and the opportunity to present their findings at the 2026 NFL Scouting Combine. Powered by AWS Machine Learning to create a better experience for fans, players, and teams. AWS powers the NFL's Digital Athlete, a injury prediction tool, that uses machine learning and AI to help identify when players are at an increased risk of injury. The Seattle Seahawks and AWS have created a winning partnership using data-driven insights across the franchise to analyze information across player acquisition, team and opponent scouting, and player health. The NFL uses AWS technology to take real-time insights and transform fan engagement to offer personalized experiences and content curation. The NFL and AWS tackled the hidden dynamics of punt and kickoff with Expected Return Yards to estimate yards a return will gain when the ball is caught.

The NFL announced the launch of the 2026 Big Data Bowl, the league's premier crowd-sourcing competition for the sports analytics community. Powered by Amazon Web Services (AWS), the eighth annual competition will challenge applicants to leverage NFL player tracking, also known as Next Gen Stats (NGS), to generate insights to enhance the game. Applicants can sign up beginning Sept. 25, 2025, to compete for a shared prize of $100,000 and the chance to present their submission to NFL teams at the 2026 NFL Scouting Combine. This year's competition highlights a new pathway for leveraging NGS. For the first time, the participants will predict player movement by using data before the football is thrown to produce insights on where players will move while the football is in the air.

Data will be available from the 2023 and 2024 NFL seasons, with predictions evaluated against this year’s outcomes (Weeks 14-18). Also, for the first time, applicants can enter a public leaderboard, which evaluates the accuracy of submissions by comparing predicted to actual player locations, as determined using NGS. Applicants can register on Kaggle, which has hosted the Big Data Bowl for the past seven years, via the leaderboard prediction competition or the analytics competition. Applicants are allowed to register for both if they are interested. “Now in our eighth year, we are elevating the Big Data Bowl with a first-of-its-kind prediction competition, offering participants a unique journey through an NFL play,” said Mike Lopez, senior director of football data... “With these additions, we hope to gain the attention of amateur and expert analysts alike, bringing out the best in sports analytics to drive innovation in our game.”

In addition to being evaluated on the public leaderboard, applicants can select one of two analytics tracks: By SVG Staff Friday, September 26, 2025 - 9:51 am Print This Story | Subscribe The National Football League announces the return of the Big Data Bowl, the league’s premier crowd-sourcing competition for the sports analytics community. Powered by Amazon Web Services (AWS), the eighth annual competition will challenge applicants to leverage NFL player tracking, also known as Next Gen Stats (NGS), to generate insights to enhance the game. Applicants can sign up beginning today to compete for a shared prize of $100,000 and the chance to present their submission to NFL teams at the 2026 NFL Scouting Combine. This year’s competition highlights a new pathway for leveraging NGS.

For the first time, the participants will predict player movement by using data before the football is thrown to produce insights on where players will move while the football is in the air. Data will be available from the 2023 and 2024 NFL seasons, with predictions evaluated against this year’s outcomes (Weeks 14-18). Also, for the first time, applicants can enter a public leaderboard, which evaluates the accuracy of submissions by comparing predicted to actual player locations, as determined using NGS. “Now in our eighth year, we are elevating the Big Data Bowl with a first-of-its-kind prediction competition, offering participants a unique journey through an NFL play,” says Mike Lopez, senior director of football data... “With these additions, we hope to gain the attention of amateur and expert analysts alike, bringing out the best in sports analytics to drive innovation in our game.” In addition to being evaluated on the public leaderboard, applicants can select one of two analytics tracks:

At SūmerSports, we’ve taken steps to open source our football analytics work to grow the space from both a talent and knowledge perspective. For the 2025 Big Data Bowl, Sūmer released a reduced version of their transformer model fitted for the competition task which ultimately powered my winning submission. That release also led to multiple success stories across the community and exciting growth for the Sūmer team. See their blog post detailing last year’s success. This year, Sūmer and I are continuing that path. The NFL Big Data Bowl 2026 presents a unique challenge: analyzing and predicting trajectories when the ball is in the air using player tracking data and supplementary coverage data.

With 22 players on the field generating positional data at 10Hz historically, the complexity of modeling spatial-temporal interactions is slightly reduced, not to mention the much larger dataset contestants are privy too. This year, contestants have roughly half the players and fewer frames to work with. SūmerSports’ supplementary dataset represents years of research, engineering, and validation, adding crucial context to raw tracking data. We worked hard to develop highly generalizable models so that we can provide inference-time solutions directly to you. The data is available at Sūmer Supplement.

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