From Testing to Interpretation
The NFL Scouting Combine produces an enormous volume of standardized athletic data. While these tests contain meaningful signal at the population level, they are often misused at the individual level, treated as deterministic thresholds rather than probabilistic indicators. GridStrength exists to bridge that gap. Rather than asking whether a prospect “passes” or “fails” a test, the framework focuses on how collections of performance characteristics shift the likelihood of different career outcomes. This approach supports better questions, clearer expectations, and more disciplined decision-making without overstating what the data can provide.
How to Interpret Player Comparisons
Comparisons are contextual, not predictive
These profiles are designed to describe how collections of physical traits have historically aligned with different career outcomes, not to predict individual success or failure.
Players are grouped by position and career outcome level
Comparisons are made within position groups (e.g., WR, RB, DB) and organized by broad career outcome tiers rather than individual rankings.
Metrics are ordered by population-level importance
Testing variables are displayed from most to least statistically informative based on historical data. This ordering reflects group-level tendencies, not deterministic rules.
These profiles describe physical characteristics only
They do not account for skill, decision-making, durability, coaching, or opportunity — all of which remain decisive in professional outcomes. The goal is perspective, not prediction.
Career outcome levels used for comparison grouping
How to Interpret Player Comparisons
Comparisons are contextual, not predictive
These profiles are designed to describe how collections of physical traits have historically aligned with different career outcomes. They are not intended to predict individual success or failure.
Players are grouped by position and career outcome level
Comparisons are made within position groups (e.g., WR, RB, DB) and organized by broad career outcome levels rather than individual rankings or single-player evaluations.
Metrics are ordered by population-level importance
Testing variables are displayed from most to least statistically informative based on historical data. This ordering reflects group-level tendencies and associations, not deterministic rules.
These profiles describe physical characteristics only. They do not account for skill, decision-making, durability, coaching, or opportunity, all of which remain decisive in professional outcomes. The purpose of these comparisons is perspective, not prediction.
Career outcome levels used for comparison grouping.
Comparisons
These comparisons are frame-and-tools matches, not destiny. We’re comparing the athlete’s current physical profile, height/length, weight, movement patterns, burst, stride, coordination-to players with similar frames and athletic tools.
Skill acquisition remains a critical component of development. These comparisons reflect how an athlete profiles physically relative to players with similar frames and athletic tools — not where their career will ultimately go.
Use the position menu to explore comparisons by role and
career outcome level.
