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DraftLens

A free, deployable NFL prospect projection tool. It uses nflverse combine data, draft outcome data, college PFF profile data, and NFL season outcomes, then blends draft capital, athletic testing, size, age, manual scouting grades, college production comps, and uncertainty bands.

No model can project exact NFL success. DraftLens is built to be honest about that: it reports probabilities, ranges, comps, and confidence instead of pretending the future is deterministic.

The projected AV model is calibrated on 2016-2023 draft classes. 2024 and newer NFL results are treated as early samples, not final bust/starter/star labels.

Use it

  • Search College PFF profile to load a prospect with PFF composite, grade, production, efficiency, and clean-play signals.
  • Search Historical draft/combine player to load an older player from the nflverse baseline.
  • Click New to enter a player who is not in the loaded datasets yet.
  • Use Defaults after choosing a position to prefill realistic baseline size/testing values for a new prospect.
  • Click Save to store a prospect in My prospects. Saved prospects live in your browser's local storage.
  • Use Template to download the CSV layout for bulk prospect entry, then Import that CSV to add new prospects.
  • Use Export and Import to move your saved prospect list between browsers or devices. Import accepts DraftLens JSON exports or the CSV template.
  • Review saved players in My Draft Board, ranked by projected score with median AV and best-outcome labels.

Run locally

npm install
npm run data:pff
npm run dev

Deploy

Vercel can use the default settings:

npm run build

The prebuild script restores compressed source assets, downloads the free nflverse CSV files into public/data, and emits the compact PFF comparison payload used by the browser. npm run data:pff regenerates that PFF payload from the local CSV exports listed below.

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