Who combines rushing workload with passing involvement?

Carries measure ground workload; target share measures pass-game involvement.

Sample

≥ 10 rush_attempts · Declare target-share denominator; denominator must be nonzero.

Sources

nflverse

Data

Planned

Who is running routes and earning targets on them?

Routes measure participation; targets per route measures conditional demand.

Sample

≥ 20 routes · At least 20 charted routes.

Sources

nflverse

Data

Research only

Who pairs receiving opportunity with target earning?

Routes separate receiving participation from target earning.

Sample

≥ 15 routes · At least 15 charted routes.

Sources

nflverse

Data

Research only

Who combines passing opportunity with rushing involvement?

Pass and rush attempts expose two opportunity channels without touchdown efficiency.

Sample

≥ 20 pass_attempts · Declare consistent scramble and kneel treatment.

Sources

nflverse

Data

Planned

Who faces pressure, and who turns pressure into sacks?

Separates protection/environment from sack conversion under pressure.

Sample

≥ 10 pressured_dropbacks · At least 10 charted pressured dropbacks.

Sources

nflverse

Data

Research only

Which offenses create value consistently?

EPA/play measures average situational value; success rate measures positive-play frequency.

Sample

≥ 40 offensive_plays · At least 40 plays under one declared filter.

Sources

nflverse

Data

Planned

Which offenses create pass volume through tendency and pace?

Neutral PROE measures pass tendency; pace measures opportunity creation.

Sample

≥ 30 neutral_plays · Declare neutral-state and clock filters.

Sources

nflverse

Data

Research only

Which defenses pressure without allowing explosives?

Pressure measures disruption; explosive rate measures downside exposure.

Sample

≥ 30 opponent_dropbacks · Declare pressure charting and explosive threshold.

Sources

nflverse

Data

Research only

Who commands both volume and downfield opportunity?

Target share measures selection frequency; air-yard share measures intended depth allocation.

Sample

≥ 10 targets · At least 10 targets and a positive team air-yard denominator.

Sources

nflverse

Data

Research only

Who combines broad workload with high-leverage scoring opportunities?

Carries measure workload; inside-10 opportunities isolate high-leverage usage.

Sample

≥ 10 rush_attempts · Declare whether receiving opportunities use targets or receptions.

Sources

nflverse

Data

Research only

Does scoring match the receiver's charted first-read role?

First-read share describes a charted role; PPR per game describes results. A mismatch is a research question, not a regression forecast.

Sample

≥ 30 charted_team_first_read_targets · At least 30 charted team first-read targets and two completed games; declare all-team or on-player-route denominator, charting definition and scoring. This display floor is not a reliability threshold.

Sources

fantasy_points_data, nflverse

Data

Rights blocked

Are rushing results and touchdown conversion telling different stories?

Tracking-model RYOE per carry and rushing touchdown rate describe different components. Goal-line role and explosive plays must be reviewed before a sustainability claim.

Sample

≥ 20 modeled_rush_attempts · At least 20 modeled carries and two completed games; retain modeled and TD-rate denominators separately. Never mix NGS week-0 summaries with weekly rows. This display floor is not a reliability threshold.

Sources

nfl_ngs, nflverse

Data

Research only

Do completion execution and touchdown production support the same interpretation?

CPOE is source-model-relative completion execution, not pure QB skill or a forecast. Keep nflverse and NGS models separate and review depth, pressure, receivers and red-zone opportunities.

Sample

≥ 40 cpoe_eligible_attempts · At least 40 valid CPOE attempts and two completed games; report missing CPOE attempts and the separate passing-TD denominator. This display floor is not a reliability threshold.

Sources

nfl_ngs, nflverse

Data

Research only