Snap Share
The percentage of offensive plays a player is on the field. A foundational indicator of opportunity.
Learn more →Learn the core NFL analytics metrics PlayMaker uses to evaluate player usage, efficiency, defensive matchups, and prop opportunity.
Box-score production tells you what already happened. Usage, opportunity, and efficiency help explain what may happen next.
These metrics help separate repeatable player involvement from short-term production and unsustainable results.
Open any guide to learn what the metric measures, why it matters, and how to apply it to player props.
The percentage of offensive plays a player is on the field. A foundational indicator of opportunity.
Learn more →The percentage of team pass attempts directed toward a player. One of the strongest receiving-volume indicators.
Learn more →The percentage of team rushing attempts handled by a player. A key measure of backfield control and rushing opportunity.
Learn more →The distance the football travels before reaching a targeted receiver. Measures the depth and quality of opportunity.
Learn more →Receiving yards generated for every route run. A strong measure of receiving efficiency and involvement.
Learn more →The yards a receiver gains after securing the football. Helps identify playmaking ability and scheme-created opportunity.
Learn more →Carries and targets earned near the goal line. A direct indicator of touchdown opportunity.
Learn more →Expected Points Added measures how each play changes a team's expected scoring outcome.
Learn more →The percentage of plays that create positive expected value. Helps measure consistency beyond total yardage.
Learn more →How frequently a defense disrupts the quarterback. Important for passing volume, sacks, efficiency, and game flow.
Learn more →Each metric contributes a different layer of player and matchup evaluation.
Snap share, target share, and carry share establish how much opportunity a player is earning.
Air yards, yards per route run, EPA, and success rate measure the quality of those opportunities.
Defensive pressure, matchup quality, weather, injuries, and expected game script adjust the baseline.
PlayMaker combines player trends and matchup context to support ride, fade, or avoid decisions.
Connect individual statistics to player roles, matchup context, and the full PlayMaker process.
Learn how to combine trends, projections, usage, recent form, and betting value.
View Strategy Guides →See how usage and efficiency metrics connect to individual NFL player research.
View Players →Learn which metrics matter most for quarterbacks, running backs, wide receivers, and tight ends.
View Positions →Learn how stats, trends, matchups, and projections combine inside the PlayMaker research process.
Enter the Academy →Apply these statistics to real NFL players, defensive matchups, and upcoming games.
View Matchups