usage is the signal — points are the noise · this page compares players within a position; see Team Stats for team-by-team deep dives, Compare for head-to-heads, Rookie Watch for the rookie class

Usage Map pick any two usage metrics — scales are fixed per metric, so filtering and searching never moves the map; bubble size = touches+targets; click any dot for the full player profile

Earned vs. Expected actual points vs. expected points from opportunity (xFP) — above the dashed line is efficiency, below is a buy-low candidate. Early in a window, dots line up in columns because xFP is built from whole targets (1.6 each) and carries (0.6 each); the columns spread out as games accumulate

Trending — last 3 games vs. the 5 before spans back into last season, playoffs included; click a row for the player's profile

RB Workload carries vs. targets per game — the pass-catching quadrant is where PPR RBs get paid

Snap Share Trends weekly offensive snap % — pin players with ⊕ in the table below

The Usage Table click a column to sort (hover a header for its definition); click a name for the full profile; ⊕ pins to the trend chart

Views Lab extra reads on the same data — season (defaults to the last completed season for full samples); uses this page's position filter

Usage Grid snap-share sparklines for the top 24 by expected points — trend direction at a glance; green dot = last game up, red = down

Consistency weekly points distribution (box = middle half, line = median, dots = weeks) — two players with the same average can have very different floors

On the bench — view suggestions the roadmap for this site; ideas graduate to real pages as data allows

  • Spike-week rate — % of weeks a player finished top-12 at his position; puts numbers on boom/bust talk.
  • Routes & TPRR views — the moment a free weekly routes source exists (charted data is paywalled today).
  • Vacated opportunity — when a player goes down, whose share history says they inherit it.
  • Schedule heatmap — full-season strength-of-schedule grid from the defense-vs-position data.
  • Career arcs — season-over-season usage curves by age, ten seasons overlaid.

Target Concentration how each team's targets split among its top earners — concentrated offenses make WR1s valuable