NFL

Football

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DraftADynasty / NFL Intelligence

Visual lab

Each lens starts with a football question, not a chart-shaped opinion. We define what each axis means, how much data is needed, and whether the data is ready before showing a result.

10 lenses7 player3 teamAgent JSON

Evidence boundary

These definitions do not change rankings. We only show a measured chart after its underlying data is verified, dated, and cleared for public use. Planned or research-only lenses are never presented as measured facts.

NFL X/Y lenses

Definitions first. Measurements appear only after the required data is verified.

Football intelligence →

player · RB

RB rushing workload vs passing involvement

DescriptivePlanned

Who combines rushing workload with passing involvement?

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

X axis

Rush attempts

attempts

Y axis

Target share

percent

Sample: ≥ 10 rush_attempts · Declare target-share denominator; denominator must be nonzero.
Sources: nflverse
Data: Planned

player · WR

WR route opportunity vs target earning

HypothesisResearch only

Who is running routes and earning targets on them?

Routes measure participation; targets per route measures conditional demand.

X axis

Routes run

routes

Y axis

Targets per route run

rate · targets-per-route

Sample: ≥ 20 routes · At least 20 charted routes.
Sources: nflverse
Data: Research only

player · TE

TE route opportunity vs target earning

HypothesisResearch only

Who pairs receiving opportunity with target earning?

Routes separate receiving participation from target earning.

X axis

Routes run

routes

Y axis

Targets per route run

rate · targets-per-route

Sample: ≥ 15 routes · At least 15 charted routes.
Sources: nflverse
Data: Research only

player · QB

QB passing volume vs rushing involvement

DescriptivePlanned

Who combines passing opportunity with rushing involvement?

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

X axis

Pass attempts

attempts

Y axis

Rush attempts

attempts

Sample: ≥ 20 pass_attempts · Declare consistent scramble and kneel treatment.
Sources: nflverse
Data: Planned

player · QB

QB pressure exposure vs sack conversion

HypothesisResearch only

Who faces pressure, and who turns pressure into sacks?

Separates protection/environment from sack conversion under pressure.

X axis

Pressure rate

percent

Y axis

Pressure-to-sack rate

percent · pressure-to-sack

Sample: ≥ 10 pressured_dropbacks · At least 10 charted pressured dropbacks.
Sources: nflverse
Data: Research only

team

Team efficiency vs consistency

DescriptivePlanned

Which offenses create value consistently?

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

X axis

EPA per play

expected_points · epa-per-play

Y axis

Success rate

percent · success-rate

Sample: ≥ 40 offensive_plays · At least 40 plays under one declared filter.
Sources: nflverse
Data: Planned

team

Team passing tendency vs pace

HypothesisResearch only

Which offenses create pass volume through tendency and pace?

Neutral PROE measures pass tendency; pace measures opportunity creation.

X axis

Neutral pass rate over expected

percentage_points · neutral-proe

Y axis

Seconds per play

seconds

Sample: ≥ 30 neutral_plays · Declare neutral-state and clock filters.
Sources: nflverse
Data: Research only

team

Defense pressure vs explosive-pass prevention

HypothesisResearch only

Which defenses pressure without allowing explosives?

Pressure measures disruption; explosive rate measures downside exposure.

X axis

Pressure rate

percent

Y axis

Explosive pass rate allowed

percent

Sample: ≥ 30 opponent_dropbacks · Declare pressure charting and explosive threshold.
Sources: nflverse
Data: Research only

player · WR/TE

Receiver target share vs air-yard share

HypothesisResearch only

Who commands both volume and downfield opportunity?

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

X axis

Target share

percent

Y axis

Air-yard share

percent

Sample: ≥ 10 targets · At least 10 targets and a positive team air-yard denominator.
Sources: nflverse
Data: Research only

player · RB

RB carries vs inside-10 opportunities

HypothesisResearch only

Who combines broad workload with high-leverage scoring opportunities?

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

X axis

Rush attempts

attempts

Y axis

Inside-10 opportunities

opportunities

Sample: ≥ 10 rush_attempts · Declare whether receiving opportunities use targets or receptions.
Sources: nflverse
Data: Research only

NFL

Football

Loading the latest available scores, lines and stats…

DraftADynasty / NFL Intelligence

Visual lab

Each lens starts with a football question, not a chart-shaped opinion. We define what each axis means, how much data is needed, and whether the data is ready before showing a result.

10 lenses7 player3 teamAgent JSON

Evidence boundary

NFL X/Y lenses

Definitions first. Measurements appear only after the required data is verified.

Football intelligence →

player · RB

RB rushing workload vs passing involvement

DescriptivePlanned

Who combines rushing workload with passing involvement?

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

X axis

Rush attempts

attempts

Y axis

Target share

percent

Sample: ≥ 10 rush_attempts · Declare target-share denominator; denominator must be nonzero.
Sources: nflverse
Data: Planned

player · WR

WR route opportunity vs target earning

HypothesisResearch only

Who is running routes and earning targets on them?

Routes measure participation; targets per route measures conditional demand.

X axis

Routes run

routes

Y axis

Targets per route run

rate · targets-per-route

Sample: ≥ 20 routes · At least 20 charted routes.
Sources: nflverse
Data: Research only

player · TE

TE route opportunity vs target earning

HypothesisResearch only

Who pairs receiving opportunity with target earning?

Routes separate receiving participation from target earning.

X axis

Routes run

routes

Y axis

Targets per route run

rate · targets-per-route

Sample: ≥ 15 routes · At least 15 charted routes.
Sources: nflverse
Data: Research only

player · QB

QB passing volume vs rushing involvement

DescriptivePlanned

Who combines passing opportunity with rushing involvement?

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

X axis

Pass attempts

attempts

Y axis

Rush attempts

attempts

Sample: ≥ 20 pass_attempts · Declare consistent scramble and kneel treatment.
Sources: nflverse
Data: Planned

player · QB

QB pressure exposure vs sack conversion

HypothesisResearch only

Who faces pressure, and who turns pressure into sacks?

Separates protection/environment from sack conversion under pressure.

X axis

Pressure rate

percent

Y axis

Pressure-to-sack rate

percent · pressure-to-sack

Sample: ≥ 10 pressured_dropbacks · At least 10 charted pressured dropbacks.
Sources: nflverse
Data: Research only

team

Team efficiency vs consistency

DescriptivePlanned

Which offenses create value consistently?

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

X axis

EPA per play

expected_points · epa-per-play

Y axis

Success rate

percent · success-rate

Sample: ≥ 40 offensive_plays · At least 40 plays under one declared filter.
Sources: nflverse
Data: Planned

team

Team passing tendency vs pace

HypothesisResearch only

Which offenses create pass volume through tendency and pace?

Neutral PROE measures pass tendency; pace measures opportunity creation.

X axis

Neutral pass rate over expected

percentage_points · neutral-proe

Y axis

Seconds per play

seconds

Sample: ≥ 30 neutral_plays · Declare neutral-state and clock filters.
Sources: nflverse
Data: Research only

team

Defense pressure vs explosive-pass prevention

HypothesisResearch only

Which defenses pressure without allowing explosives?

Pressure measures disruption; explosive rate measures downside exposure.

X axis

Pressure rate

percent

Y axis

Explosive pass rate allowed

percent

Sample: ≥ 30 opponent_dropbacks · Declare pressure charting and explosive threshold.
Sources: nflverse
Data: Research only

player · WR/TE

Receiver target share vs air-yard share

HypothesisResearch only

Who commands both volume and downfield opportunity?

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

X axis

Target share

percent

Y axis

Air-yard share

percent

Sample: ≥ 10 targets · At least 10 targets and a positive team air-yard denominator.
Sources: nflverse
Data: Research only

player · RB

RB carries vs inside-10 opportunities

HypothesisResearch only

Who combines broad workload with high-leverage scoring opportunities?

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

X axis

Rush attempts

attempts

Y axis

Inside-10 opportunities

opportunities

Sample: ≥ 10 rush_attempts · Declare whether receiving opportunities use targets or receptions.
Sources: nflverse
Data: Research only