How We Evaluate Prospects

Public high-level framework for reading the board, grades, and mock outputs.

1) Evidence Categories

We review multiple evidence buckets: college production context, athletic markers, role/trait translation signals, and external market context.

Public weight bands (high level): board outcomes are primarily driven by on-field performance and translation traits, with athletic and market context acting as calibration layers.

2) Grade vs Rank

Grade is player-quality signal. Rank is ordering after additional context checks. That means two players with close grades can still sort differently.

3) Mock Logic Philosophy

Mock outputs balance board value with team context and positional economics. We aim for realistic team classes while still allowing variance and upside outcomes.

4) Update Cadence

Public pages are refreshed in cycles as new data and news are incorporated. Check the weekly updates page for timestamps.

Guardrails and QA

We apply guardrails to reduce noisy spikes, flag thin-evidence profiles, and keep high-variance outliers clearly labeled. This helps keep the board stable while still surfacing upside cases.