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NFL and AWS Launch New AI Model for Tackle Probabilities

The National Football League and Amazon Web Services have extended their partnership and launched a predictive model calculating defensive plays in real time.

This article was AI-generated and published automatically. Context, labelling and all sources at the end of the article.

(KI-generiertes Symbolbild: Gemini / AI Connect)

The National Football League and Amazon Web Services have announced a multi-year extension of their technology partnership. At the center of this collaboration is the league-wide rollout of a new predictive machine learning model called Tackle Probability. The tool expands the existing Next Gen Stats platform, which has gathered detailed tracking metrics for several years. With this algorithmic framework, the league and the cloud provider aim to elevate the quantitative evaluation of defensive gameplay to a new level.

The technical foundation of the system originated from data science approaches developed during the league's Big Data Bowl competition and was trained using AWS SageMaker. The algorithm continuously ingests optical tracking data provided by Next Gen Stats throughout each play. For all eleven defensive players on the field, the system calculates approximately 20 different parameters every 0.1 seconds. These variables include the direct distance to the ball-carrier, pursuit angles, intervening blockers, and instantaneous acceleration rates.

By fusing these metrics, the model evaluates in real time the probability that a specific defender will successfully tackle the ball-carrier. The system also systematically logs missed tackle attempts whenever a defender fails to finish a play despite possessing a high statistical likelihood of success. Conversely, this mathematical framework enables an objective assessment of running backs and wide receivers by quantifying their elusiveness when breaking away from imminent contact.

The generated metrics are integrated directly into live NFL broadcast graphics to provide viewers with deeper context on how close a defensive stop was. Beyond fan engagement, the model offers substantial utility for coaching staffs and scouting departments across the league. Teams are leveraging the data to perform objective evaluations of defensive pursuit angles, moving beyond traditional box-score metrics that merely record completed tackles.

With the rollout of Tackle Probability, the league reinforces an ongoing shift toward real-time predictive analytics in professional football. Aspects of defensive positioning that previously relied on scout intuition are now translated into standardized probability curves. AWS and the NFL intend to continue refining these tracking models to provide deeper evaluations of blocking assignments and field spacing in future seasons.

What this means for you

For football fans and sports analysts, this model represents a shift toward evaluating process rather than just outcomes. By quantifying pursuit angles and missed opportunities in real time, AI exposes the value of disciplined defensive positioning. These metrics will increasingly inform both broadcast storytelling and front-office roster construction.

Perspectives

Coverage: 4× Other

One story, several angles: how each source frames the topic, each with a verbatim quote.

  • press.aboutamazon.comOther

    Amazon highlights the extension of its long-term partnership with the NFL, emphasizing the new Tackle Probability model alongside generative AI tools to increase operational efficiency.

    Original quote

    debut of a new AI-powered Next Gen Stat that changes how we understand and analyze tackles in football.

    press.aboutamazon.com
  • thefastmode.comOther

    The Fast Mode reports on the extended partnership between the NFL and AWS, focusing on the introduction of the tackle probability model and the deployment of generative AI for operations.

    Original quote

    This model predicts, in real-time, the likelihood of a defender making a tackle

    thefastmode.com
  • nfl.comOther

    The NFL approaches the topic from an in-depth football analytics perspective, highlighting how the AI model quantifies complex tackling nuances in real time.

    Original quote

    Tackle Probability leverages a tree-based machine learning modeling architecture to process millions of data points per game

    nfl.com
  • siliconangle.comOther

    SiliconANGLE frames the development from an enterprise technology perspective, noting how the model stemmed from the Big Data Bowl competition and fits into a broader AI strategy.

    Original quote

    The tool identifies the most dependable defenders and the hardest-to-catch ball carriers.

    siliconangle.com

Source classification is maintained editorially (political spectrum only where consensus is broad; vendor communication is PR, not journalism). Unlabelled sources are unclassified: we do not guess.

Source & transparency

As of: September 22, 2026

AI-generatedAI-generated: produced automatically from vetted sources with technical quality checks (source, quote and figure verification); no human sign-off of each item before publication

Sources
4
Verified statements
0 / 2
Evidence score
62Solidly sourced

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