Wide Receiver Projection Methodology: Target Share and Air Yards
Target share and air yards sit at the center of how wide receiver projections get built — not because they're fashionable metrics, but because they measure opportunity directly, before luck, drops, or defensive breakdowns enter the picture. This page breaks down how those two inputs are defined, how they interact inside a projection model, and where the methodology draws its harder lines around reliability and use.
Definition and scope
Target share is the percentage of a team's total pass attempts directed at a specific receiver. A receiver commanding 28% of his team's targets in a high-volume passing offense is a fundamentally different asset than one sitting at 12% on a team that throws 30 times per game — even if their raw catch totals look similar on a given week.
Air yards measure the distance the ball travels through the air from the line of scrimmage to the point of the catch (or incompletion). A slant route for 3 air yards and a go route for 18 air yards are both "targets" in the box score, but they represent completely different expected-value propositions. Air yards per target (aDOT — average depth of target) captures a receiver's role in the offense and his expected ceiling on any given play.
These two metrics combine into air yards share — a receiver's air yards as a percentage of the team's total air yards thrown — which the NFL Next Gen Stats platform tracks as a primary workload indicator. Research published by Football Outsiders and aggregated in resources like Pro Football Reference has consistently shown that air yards share correlates more strongly with future fantasy scoring than raw receiving yards, particularly across samples shorter than 6 games.
Within the full projection framework at Fantasy Projection Lab, wide receiver models use both target share and air yards share as weighted inputs, not as standalone signals.
How it works
The projection process runs through a specific sequence:
- Baseline opportunity estimation — The team's implied pass volume gets set first, often derived from Vegas implied totals and pace-of-play data. A team with a 27.5-point implied total in a neutral game will generate a different pass attempt distribution than one sitting at 20 points.
- Target share assignment — Historical share data (typically a 4-to-8 week rolling window plus a season-long baseline) gets weighted against current depth chart status, recent snap count trends, and any known route participation shifts from snap count and target share data.
- Air yards adjustment — The receiver's aDOT gets applied to determine expected receiving yards per target. A receiver with a 14.2 aDOT will generate more variance and a higher ceiling than one running a 6.8 aDOT route tree, even at identical target share.
- Touchdown probability — Red zone target share gets modeled separately, since end zone throws compress air yards artificially and skew the main aDOT calculation.
- Scoring format scaling — A full PPR (point per reception) league amplifies the value of a high-volume, short-route receiver relative to a standard scoring format. The scoring format impact on projections page covers this adjustment in detail.
The output is an expected receiving line — catches, yards, touchdowns — with a probability distribution around each component rather than a single deterministic number.
Common scenarios
Slot receiver vs. outside boundary receiver — A slot receiver with 24% target share and a 6.1 aDOT will generate consistent floor value in PPR formats. A boundary receiver at 18% target share with a 15.8 aDOT carries a higher ceiling and more week-to-week variance. Neither is "better" as a projection input — they produce different distributions, and the methodology treats them differently at the floor-and-ceiling output stage. See floor and ceiling projections for how that distribution gets communicated.
Target share inflation during a missing teammate — When a team's WR1 is injured, remaining receivers often see target share spike sharply in the short term. A receiver jumping from 14% to 23% across 3 games may be benefiting from temporary volume that reverts once the roster heals. Models applying regression to mean in fantasy discount elevated short-sample share gains based on their injury context.
Air yards without production — Occasionally a receiver accumulates high air yards totals without proportional catch or yardage output. This "unrealized air yards" condition — tracked as a specific signal in advanced projection systems — often predicts positive regression in subsequent weeks, since incomplete targets on deep routes carry deferred expected value.
Decision boundaries
Target share below 12% triggers a minimum-opportunity threshold that most models treat as a signal to reduce projection confidence rather than simply reduce the output number. The projection confidence intervals methodology explains how uncertainty bands widen at low usage levels.
A meaningful divergence between target share rank and air yards share rank — for example, a receiver ranking 2nd in team targets but 4th in team air yards — typically flags a role that is volume-dependent without route-tree depth. These receivers carry compressed upside in standard scoring but remain viable PPR assets.
When a receiver's aDOT drops by more than 3.5 yards over a 4-game stretch without a clear schematic explanation, the model flags it as a potential role change requiring manual review before the next projection cycle. Automated adjustments handle straightforward volume changes; route-tree restructuring requires the kind of context that raw data alone doesn't resolve cleanly.