About

The 53 Report

We grade every NFL general manager. Same dataset, same definitions, every team since 2012.

32

teams

1.3M

data rows

1980+

draft picks

2012+

snap counts

3

article shapes

Open

source

Why this exists

Drafting and keeping are different skills.

Every NFL team has 53 active players. The decisions about who fills those slots, who stays on a second contract, and which draft picks become starters are the most important and least examined work in football. The general manager owns those decisions. Almost nobody grades that work with the same definitions across all 32 teams.

Most teams that draft well don't retain at the same rate. Some teams retain everyone and draft poorly. The gap is real, it's measurable, and the numbers tell a different story than the narrative. Our product is the grade that comes out the other side.

What feeds a grade

The four columns of every GM scorecard.

01

Hit rate

Share of the GM's picks that produced 500+ snaps in any single regular season, against the league baseline for the same window.

02

Retention

Share of those picks still on the current 53-man roster, both raw and snap-weighted.

03

Position construction

How the homegrown players distribute across position groups, read against the team's identity.

04

The franchise pick

The single bet that defines the regime. Did it hit? What does the rest look like if it didn't?

How we work

Open data, no sponsors.

All data is public. Our methodology is documented at /methodology, the dataset is open-source, and every published article links to the query that produced it.

We don't run advertising. We don't take sponsored content. The newsletter is free.

How we built it

SQLite, normalized joins, public sources.

Pro-Football-Reference and the nflverse open-source community publish weekly rosters, snap counts, and draft records back to 1980. We pulled those into a single SQLite database, normalized the joins, and aligned the time series. Schema and ETL at github.com/pete-builds.

Every article goes through a stat-fidelity check before it ships. If a number on this site is wrong, it's a methodology question, not a "trust us."

Cadence

New analysis on Tuesdays.

The easiest way to keep up is the RSS feed.

Contact

Tips and methodology questions.

[email protected]