2026 NFL Draft Intelligence · Built by Retriever Analytics Lab

READY SET DRAFT

Proprietary prospect evaluation, team-need analysis, and scheme-fit matching. Powered by custom DVS models built from the ground up.

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A Different Kind of Draft Board

Our board won't match the consensus, and that's the point. Ready Set Draft doesn't predict where prospects will be drafted. It evaluates how likely they are to succeed at the next level and which teams they fit best. Using historical comparisons across 6,498 NFL careers, proprietary DVS models, and scheme-aware team profiling, we focus on what the data can actually tell us.

No model captures everything. Intangibles like work ethic, leadership, and maturity live outside the data, and they matter. But we believe a rigorous, transparent analytical foundation is one of the most valuable tools available during draft season, whether you're a fan building your own board or a front office looking for one more signal in a noisy process.

609
Prospect Cards
Graded A+ to F
32
Team Profiles
Scheme · Needs · Fits
19,488
Fit Scores
Every prospect × team
6,498
Historical Players
DVS training pool
What's Inside

DRAFT INTELLIGENCE

Prospect Cards
609

609 draft-eligible prospects evaluated with transparent, component-level scoring. Grades, archetypes, comps, risk profiles, and team fits.

Team Profiles
32

Full roster analysis with composite importance scores, positional need rankings, trait profiles, and scheme classification for every NFL team.

Scheme-Fit Engine
172 Scheme Weights

Scheme weight matrix across 8 offensive and defensive scheme families. Every prospect scored against every team's scheme identity.

Coaching Intelligence
64 Coaches Profiled

Coaching staff mapped with empirical scheme clusters and family tree lineage. Three-tier confidence tracking for every scheme assignment.

DVS Models
Proprietary

Draft Value Score models built from scratch through extensive correlation analysis. Position-specific weights tuned across 6,498 historical players.

Roster Deep Dive
Transparent

See exactly how every score is computed. Player-level trait values, aggregation weights, gap calculations, and need decomposition.

How It Works

THE PIPELINE

01
Data Collection

PFF grades, combine measurables, production stats, coaching staff, contracts, depth charts

PFFCombinenflverseOTC
02
Prospect Grading

Position-specific weighted scoring across measurables, athletic testing, production, and PFF grades

DVS Weights9 Position Groups
03
Archetype Classification

Trait-based archetype assignment using relative z-scores within position groups. Comp engine matches to historical players.

43 TraitsArchetypesComps
04
Team Profiling

Roster construction with composite importance, trait profiling, scheme-weighted gap analysis, and positional needs

6 LayersImportance Scores
05
Fit Matching

Every prospect scored against every team. Scheme fit, additive value, need bonus, and positional value multipliers.

19,488 PairsFit Scores
Our Approach

METHODOLOGY

Proprietary, Not Black-Box

DVS models were built from scratch through extensive correlation analysis across 6,498 historical NFL players. Every position-specific weight is empirically tuned and validated. The weights are proprietary. The methodology is transparent.

Custom Scheme-Fit Engine

172 scheme weights map how every trait matters differently in every system. A man-press corner and a cover-3 zone corner are evaluated on different criteria. Coaching staff classification uses empirical clusters, not assumptions.

Full Visibility

Every score can be traced back to its source data. Roster deep dives show player-level trait values, aggregation weights, and gap calculations. No hidden layers, no unexplainable outputs.

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Data Sources
PFFnflverseOver The CapNFL CombineCFBD