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Python code

Creating an Analytic Data Set of NFL Player Value

ProFootball Reference’s Approximate Value (AV) is a great NFL analytics measure of player value. AV, similar to baseball’s WAR or basketball’s PER metrics, puts a single value on a player’s season. Here I use Python to create…

DeVonta Smith

DeVonta Smith Will Hit the “Over” on Everything

The Eagles haven’t had a 1,000 yard receiver in years, but the past draft data shows that DeVonta could – and should – change this in 2021

Offensive line scatterplot

2020 Offensive Line Grades – Win Rate vs. PFF

A quick comparison of PFF offensive line blocking grades vs. ESPN’s block win rates. Run and pass block win rates are a better picture of offensive line value.

Scatterplot offense

The Best Metrics to Watch That Drive Player Value – Offense

A review of the top metrics that drive player value on the offense with a specific focus on what matters when watching a game.

Scatterplot defense

The Best Metrics to Watch That Drive Player Value – Defense

Following the last post which analyzed offensive positions, this is a review of the top metrics that drive player value on the defense with a specific focus on what matters when watching a game.

Automated scraping of data

Automating Scraping of NFL Team Data With Python

Automating scraping of NFL team data from PFR’s site using Python. Output data includes team records, PF/PA, strength of schedule, DVOA, and playoff and Super Bowl teams.