Catch rate is a scheme stat. 68 percent is where it stops being one.

Consensus on trialtested 17held 3busted 9no edge 5

What the consensus says

The dynasty community spent this week arguing about Puka Nacua versus Jaxon Smith-Njigba as the top wide receiver in dynasty. Footballguys 2026 dynasty WR tiers has both in the elite tier. CBS Sports 2026 dynasty WR rankings notes that JSN is the reigning Offensive Player of the Year and that "route runners age best." The Locked On dynasty show ran a full debate segment on which possession WR belongs at WR1, and Yahoo Sports covered JSN's extension as the richest WR contract in NFL history. The underlying consensus: high catch rate, combined with elite target share, equals dynasty longevity. Both players are efficiency WRs. Both deserve the premium.

The data says the first part is right. The second part is where it gets interesting.

The claim, in plain English

def predicate(row):
    return row["catch_rate_y0"] >= 0.68

A WR clears the route-runner threshold if he catches at least 68 of every 100 targets in year zero. Why 68 percent? That is the exact threshold in the engine's wr_archetypes block: route_runner requires catch_rate_min of 0.68. The control variable is target_share. Because at equal target share, the only thing separating two WRs is how efficiently they convert looks into production. That is the whole game.

How I beat on it

Year-zero to year-one paired seasons. WRs with at least four games and 20 targets in year zero. Scoring: half-point PPR in a 10-team superflex dynasty. 192 paired seasons from 2022 and 2023. I stratified by year-zero target_share into four bands and asked: within each band, does clearing 68 percent predict better year-one production? Full framework in docs/RESEARCH_SESSION97_AUTONOMOUS_2026-05-13.md.

What the data actually said

Aggregate first: route runners averaged 9.87 points per game in year one. Non-route-runners averaged 8.14. A 1.73-point gap before any controls. Encouraging. But aggregates lie.

Because high-catch-rate WRs are also, systematically, the most-targeted WRs. Catching 68 percent of your looks when you command 12 percent of the team's targets is a different beast than catching 68 percent when you command 28 percent. So I stratified.

Target share band	Route-runner n	Y+1 ppg	Non-route-runner n	Y+1 ppg	Delta
ts >= 0.25 (elite)	17	13.95	20	11.74	+2.21
ts 0.18 to 0.25	12	10.49	37	8.88	+1.61
ts 0.12 to 0.18	14	5.82	52	6.32	-0.50
ts < 0.12	10	5.18	30	5.63	-0.46

At elite target share, 25 percent or higher, route runners averaged 13.95 points the next year. Their same-volume peers with catch rates below 68 percent averaged 11.74. That gap: 2.21 points per game. Over 17 games, that is 37 points. The difference between a locked WR1 and a borderline WR1 who loses you a playoff week.

The high-target-share band (18 to 25 percent) showed the same direction: 10.49 versus 8.88, a 1.61-point edge for route runners.

Below 18 percent target share, the signal collapsed. Route runners and non-route-runners land at essentially the same year-one production. Nothing worth paying for.

The named examples from the route-runner cohort: Tyreek Hill in 2023 at 73.7 percent catch rate with 33 percent target share. CeeDee Lamb in 2023 at 74.6 percent and 29 percent. Justin Jefferson in 2023 at 68.0 percent and 28 percent, right at the boundary. Amon-Ra St. Brown at 72.6 percent and 30 percent. Keenan Allen at 72.0 percent.

On the other side of the 68-percent line: Ja'Marr Chase in 2022 at 64.9 percent (his deep target volume naturally depresses his raw catch rate -- different archetype), and Puka Nacua in 2023 at 65.6 percent. Just below the threshold in his rookie season, despite the efficiency reputation. By 2025, public numbers show Nacua at 77.7 percent. He grew into the archetype. JSN cleared it from the start.

What the engine already figured out

The engine does know route runners are different. It applies a post_peak_modifier of 1.12 to the route_runner archetype -- they age the slowest of any WR type. That is the most generous aging treatment in the model.

What the engine does not currently encode: the production premium in the years before any aging kicks in. The 1.12 modifier is an argument for a 34-year-old, not a 26-year-old. At elite target share, the route-runner edge shows up immediately: 2.2 points, year one, no aging math required. That is new information the engine is not using.

What to do about it

If a WR is commanding 25 percent or more of his team's targets and converting 68 percent of those looks into catches, pay up. The math says you will get 2.2 more points per game next year than a volume peer who does not hit the efficiency bar.

If he is at elite target share but under 68 percent: do not pay the route-runner premium. His volume is real. His efficiency profile does not earn the extra points.

And if he is under 18 percent target share: skip the catch rate entirely. A clean catch rate at low volume is a scheme artifact, not a predictor.

The engine diff proposed from this finding: a warm-loop experimental feature tracking this prime-age lift at weight zero for observation before any live ranking adjustment. The signal is real at two bands. The sample is two years. The next step is Gate 2: does it correlate with engine residuals once an age-neutralized projection is available.

Receipts

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