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All 32 passing offenses: a lead pass-catcher's fantasy value tracked target concentration more closely than pass volume

Rank all 32 NFL offenses by the share of targets its single busiest pass-catcher commanded and the lead receiver's full-PPR points follow it — correlation 0.74, against 0.38 for how many passes the team threw. Buffalo charged more targets than New Orleans and produced no startable receiver; New Orleans funneled 27.6% to Chris Olave and made him a WR6.

The Facts

A fantasy manager sizing up a receiver reads two things about his offense: is it good, and does it throw. Neither is the number that decided whether that receiver was worth starting in 2025. Read all 32 passing offenses in nflverse's complete 2025 regular-season file and the figure that tracked a lead receiver's fantasy output was how concentrated his team's targets were — the share commanded by its single busiest pass-catcher — its alpha. That top share ran from 35.8% (Seattle, Jaxon Smith-Njigba) down to 14.0% (the New York Jets, Adonai Mitchell), a league median of 22.5%. Six of the 32 lead targets weren't wide receivers at all — five tight ends and Christian McCaffrey. Rank the offenses by that top share and the lead receiver's full-PPR points follow it: the correlation between a team's top target share and its alpha's fantasy total was 0.74, against just 0.38 for the raw number of passes the team threw. The split is cleanest at the ends. The 11 most target-concentrated offenses (25.4% and up) returned a startable finish — top-24 among receivers or top-12 among tight ends — from all 11 of their lead pass-catchers, averaging 278 PPR points; the 10 most spread offenses (21.1% and down) returned one from just 3 of 10, averaging 160. New Orleans and Buffalo make the point directly: Buffalo's passing game charged 504 targets to New Orleans' 474 — more volume — but Buffalo spread them, its leader Khalil Shakir seeing 19.8% and finishing WR36 (166 PPR), while New Orleans funneled 27.6% to Chris Olave, WR6 (268) on fewer total team targets. Green Bay, another high-volume passing offense, left its leader (Romeo Doubs, 18.5%) at WR37.

The Analysis

The following is analysis, not fact. The opportunity-versus-output spine of fantasy usually gets read one player at a time: my receiver saw eight targets, yours saw ten. The 2025 league file reframes it as a division problem. Targets are a roughly fixed pie inside each offense; what a manager is really buying is a slice of that pie, and the slices are cut very differently. A 20% share of a busy offense and a 20% share of a quiet one sit closer to each other than either does to a 30% share on the next depth chart modeled. That is why real-life offensive quality is a poor guide to fantasy startability. Buffalo and Green Bay ran two of the league's more productive passing attacks and produced no receiver worth starting; Buffalo's production split four ways, Green Bay's five. The concentration a manager can read straight off a depth chart — one clear alpha versus a rotation — tracked the lead receiver's season-long PPR production more tightly than the offense's raw volume did modeled. The whole-league read surfaces what a single roster hides: the useful question isn't how good the offense is, it's how few mouths it feeds.

Room for Disagreement

A big slice of a broken passing game is still limited. Minnesota handed Justin Jefferson the league's second-highest target share, 30.1%, and he finished WR21; the Giants' Wan'Dale Robinson drew 27.8% and finished WR14 — concentration bought them opportunity, but a struggling quarterback and offense were associated with a lower return, the second pillar analysts attach to any WR1 case alongside target share. The 0.74 correlation is real but partial: about 45% of the variance in alpha PPR is unexplained, sitting in efficiency, health and touchdowns. 'Startable' is also a line that moves with league size — a 14.0% share plays differently in a shallow 10-team league than a deep one — and these are completed 2025 season totals, not a forecast of how any 2026 target tree will be cut.

The View From

From inside one roster, a touch is a touch and a good offense looks like a good bet. From the whole 2025 league, what most separated an ownable lead pass-catcher from an unstartable one looked to be concentration more than the quality or volume of the offense around him modeled — Buffalo threw more than New Orleans and had no one worth starting.

Notable

How this was made. Models: Opus/Sonnet/Haiku pod. Publisher of Record: Unruly Labs LP. Published August 30, 2026.

Confidence. Every factual claim here is verified against a cited primary source. A marker appears only where a claim is modeledmodeled, speculativespeculative, or preprintpreprint — the departures from verified worth flagging.

Sources. nflverse-data — stats_player_reg_2025.csv (complete 2025 regular-season player totals). Pulled every player's position, recent_team, targets, published target_share and fantasy_points_ppr. For each of the 32 teams took the single highest player target_share (the 'top share'); ranked fantasy_points_ppr within position to assign each lead man his positional finish (WR6, WR36, etc.); summed player targets by recent_team for team volume. (retrieved 2026-08-30T20:05Z) · Method and definitions (stated for reproducibility): population = all 32 NFL offenses, complete. Concentration = max published target_share among a team's pass-catchers (WR/TE/RB/FB with target_share > 0). Pearson correlations computed across the 32 teams (top share vs alpha PPR = 0.736; team total targets vs alpha PPR = 0.384). 'Startable' = a lead man finishing top-24 among WRs or top-12 among TEs by full-PPR points, or a running-back lead target; league settings vary, so the line is a stated convention. Full-PPR scoring throughout. Caveat: per-team target_share sums range 0.84 to 1.11 (median 1.00) because nflverse computes each player's share over the weeks he played and mid-season roster moves keep a team's parts from summing to exactly 100%; the concentration ranking is robust to this. (retrieved 2026-08-30T20:05Z)