Matt Ryan on how he's using AI and data in new role

Key Concepts

• Scouting Evaluation: The process of assessing player potential, traditionally reliant on combine performance (e.g., 40-yard dash).
• Telemetry & Play Speed: Utilizing data collected during actual gameplay to measure speed and agility in shorter distances (10-15 yards).
• Combine vs. Play Speed Discrepancy: The observed difference between a player’s performance in standardized combine drills and their speed during game situations.
• Predictive Injury Analytics: Leveraging AI and data analysis to forecast player health and injury risk.
• Data Confirmation/Refutation: Using data to validate or challenge the observations made by human scouts.

The Evolution of Scouting Evaluation & Data Integration

The traditional method of player evaluation in scouting heavily relied on metrics obtained at events like the NFL Combine. Specifically, times recorded in drills such as the 40-yard dash were considered key indicators of potential success. However, a long-standing observation has been that a player’s perceived “play speed” – how quickly they move on the field during a game – often doesn’t correlate directly with their combine-recorded speed. The speaker highlights that advancements in technology are now providing answers to why this discrepancy exists.

Specifically, the use of telemetry – data collected during actual gameplay – allows for the measurement of a player’s speed over shorter distances, such as 10-15 yards. This data is then being used to understand how this “short-space” play speed translates to a 40-yard dash time. The implication is that combine times may not fully capture a player’s agility and acceleration in a game context.

This shift represents a move towards a more nuanced evaluation process. The speaker emphasizes that this data isn’t intended to replace scouting, but rather to confirm or “poke holes” in the observations made by scouts. This data-driven approach provides a layer of objective analysis to complement subjective scouting reports.

Predictive Injury Analytics & Medical Applications

A significant area of growth within scouting and analytics is the application of AI and data analysis to the medical side of player evaluation. The speaker notes the importance of understanding why certain players remain healthier throughout their careers while others are prone to injury. The data available in this area is described as “huge” and represents a major learning opportunity.

The focus isn’t simply on recording when injuries occur, but on predicting injury risk based on various data points. This predictive capability has the potential to significantly impact team decision-making regarding player selection and roster management.

Ongoing Development & Future Outlook

The speaker anticipates continued deep-dive exploration into these analytical areas over the next year and a half. They emphasize that the changes being implemented in real-time are “significant,” suggesting a rapid evolution in how teams approach scouting and player evaluation. The integration of telemetry, play speed analysis, and predictive injury analytics represents a fundamental shift from relying solely on traditional combine metrics to a more holistic, data-informed approach.

Notable Quote: “We’ve always had this idea of, well, he plays faster than he runs at the combine. Why is that? Well, we're getting answers for why that is right now.” – This statement encapsulates the core of the evolving scouting landscape and the power of data to explain previously observed discrepancies.

Technical Terms:

• Telemetry: The automated measurement and transmission of data from remote sources, in this case, player movement during gameplay.
• Combine: A pre-draft showcase where collegiate football players perform physical and mental tests in front of NFL scouts.

Synthesis:

The core takeaway is that player evaluation in scouting is undergoing a significant transformation driven by advancements in data analytics and technology. The traditional reliance on combine metrics is being supplemented by more nuanced data points, such as play speed measured through telemetry, and predictive injury analytics. This shift aims to provide a more comprehensive and accurate assessment of player potential, ultimately leading to better decision-making for teams. The emphasis is on using data to validate or challenge existing scouting observations, rather than replacing the human element entirely.