Fantasy Football Wide Receiver Projections: Target Share and Air Yards
Target share and air yards are two of the most predictive inputs in wide receiver projection models — more stable week-to-week than raw receptions, and more revealing than yards alone. This page covers how these metrics are defined, how projection systems translate them into fantasy point estimates, and where the hard decisions get made when the numbers point in different directions.
Definition and scope
Target share is the percentage of a team's total pass attempts directed at a specific receiver. A wide receiver commanding 28% of his team's targets sits at an elite threshold — historically, receivers above 25% target share have finished as top-24 fantasy options far more reliably than receivers propped up by big-play flukes. Air yards measure the distance the ball travels through the air to its intended catch point, assigned on every target whether the pass is caught or not. Combined, they feed into a metric called air yards share, which captures how much of a team's passing volume (by distance) a receiver is absorbing.
The scope matters here: target share alone misses receivers who run long routes on a low-volume team. Air yards share misses slot receivers running short, high-frequency routes. Snap count and target share data live at the foundation of the wide receiver projection stack precisely because neither metric is sufficient alone — they measure different dimensions of opportunity.
How it works
Projection systems build WR estimates through a staged process:
- Establish team passing volume — projected attempts per game, informed by pace-of-play data and Vegas implied totals (Vegas lines and fantasy projections affect this ceiling directly).
- Assign target share — based on depth chart role, recent usage trends, and snap rate at each route alignment.
- Assign air yards per target — derived from route tree tendencies, whether the receiver runs mostly shorter routes (slot, shallow cross) or deeper routes (go routes, post patterns).
- Calculate expected air yards — target share × team air yards × projected attempts.
- Apply catch rate adjustment — receivers with 8.0+ yards of average depth of target (aDOT) catch passes at lower rates; projection systems apply a depth-calibrated catch rate rather than a flat conversion.
- Score output — yards and receptions are converted to fantasy points under the relevant scoring format.
The difference between a PPR model and a standard scoring model at this step is substantial. A slot receiver catching 9 targets at 5.0 aDOT scores far better in PPR than his air yards share suggests, because each reception carries independent value. Scoring format impact on projections is one of the most underappreciated levers in this entire calculation.
Common scenarios
The high-volume slot vs. the downfield threat — This is the central comparison. A receiver with 26% target share at 4.8 aDOT (think classic slot role) and one with 18% target share at 14.2 aDOT generate very different projection profiles. The slot receiver produces more consistent weekly floors; the downfield receiver generates higher variance and larger air yards totals but lower catch rates. Floor and ceiling projections diverge sharply between these archetypes.
Injured WR1, promoted WR2 — When the lead receiver misses time, target share redistributes but not equally. Projection models that ignore role context overestimate the fill-in receiver. A WR2 stepping into a WR1 role typically absorbs 60–70% of the vacated targets in the short term, not 100%, because routes go to multiple players. Injury adjustments in projections require a full redistribution model, not a simple target-transfer assumption.
Scheme change mid-season — A new offensive coordinator installing a West Coast system compresses aDOT across the board. Receivers who thrived on downfield routes see air yards share decline even if target share holds. This is where matchup-based projection adjustments intersect with usage-rate analysis.
Decision boundaries
Three threshold decisions drive WR projection outputs more than any others:
Target share cutoffs for viability — Receivers below 15% team target share on 30+ attempt teams are borderline fantasy contributors in most formats. Below 12%, the ceiling is capped unless they play for teams throwing 40+ times per game.
aDOT and catch rate calibration — A receiver averaging 12.0+ aDOT needs a catch rate above 55% to project as a high-floor asset. Below that catch rate at high depth, the projection carries significant variance, which projection confidence intervals should reflect explicitly.
Air yards vs. target share conflict — When these two metrics diverge — a receiver with high air yards share but low target share, or vice versa — the projection has to make a judgment call. High air yards share with low target share (the WR who runs deep routes but doesn't get the ball often) typically signals a downside projection. The ball isn't going there for a reason.
The wide receiver projection methodology page goes deeper on how these inputs get weighted relative to each other. For readers building or evaluating projection systems from scratch, the projection models explained reference covers the underlying architecture that ties all of these inputs together into a single point estimate.
The Fantasy Projection Lab home aggregates these WR estimates across the full receiver pool, with target share and air yards inputs visible at the player level.