How does it help analyze draft picks?

It provides configurable 'hit' metrics (e.g., 100+ snaps in a season) to evaluate draft pick success, allowing you to assess team drafting performance and player outcomes. Pre-2012 drafts use career games as a fallback.

What is the NFL Draft Analysis tool?

It's a comprehensive tool leveraging a SQLite database of historical NFL draft picks (1980-current), weekly rosters, and player snap counts to analyze performance, draft success, and team trends.

How can I interact with the data?

You can query the database using natural language prompts via an MCP server (integrating with Claude Code) or explore trends and insights visually through its FastAPI web dashboard.

What kind of questions can I ask the tool?

You can ask about team draft hit rates, roster composition (e.g., drafted vs. UDFA), player career outcomes, and specific draft round trends, all through natural language.

What historical data does the tool include?

It features NFL draft picks from 1980-current, weekly rosters from 2002-current, and per-game snap counts from 2012-current, all sourced from nflverse.

NFL Draft Analysis

Name: NFL Draft Analysis
Author: pete-builds

bypete-builds

0•

Data Science & ML

Database Management

Analytics & Monitoring

Analyzes NFL draft picks and player performance through a comprehensive SQLite database of historical draft data, weekly rosters, and snap counts.

This tool offers a powerful SQLite database containing every NFL draft pick since 1980, cross-referenced with weekly rosters and per-game snap counts dating back to 2012. Designed for integration with Claude Code, it provides an MCP server to answer complex draft-related questions directly in chat, alongside a small dashboard for visual exploration. The data is sourced from nflverse parquet releases and is fully Dockerized for easy setup and maintenance, making it an invaluable resource for sports analytics and draft strategy.

Key Features

01SQLite database of NFL draft picks (1980-current), weekly rosters (2002-current), and snap counts (2012-current)

02MCP server with eight pre-defined tools for querying draft and player data via natural language prompts

03Configurable 'hit' metrics for draft picks based on snap counts or career games, with pre-2012 fallbacks

04Automated franchise canonicalization for historical team abbreviations

05FastAPI web dashboard for visual data exploration and trends

060 GitHub stars

Use Cases

01Track the career trajectory and outcomes of specific draft picks or players

02Determine the percentage of a team's roster composed of their own drafted players

03Identify trends in player contributions based on draft round or season

04Research 'Mr. Irrelevant' outcomes and other unique draft scenarios

05Analyze team draft hit rates over specific periods