Top 10 Wide Receivers, 2024 NFL Draft
In what could be the deepest receiver class in a while, here are the top 10 (and more) wide receivers…
ByDavid
Dec 29, 2023
Eagles news, analytics, and draft content
Building on past articles on what to watch that will determine success for the team, specific players, and future draft needs, updates from week 1 of camp. Camp stats don’t matter, but quicker decisions from Hurts, Reagor’s…
A quick look at what the Eagles are getting with Steven Nelson and what the data shows on his 2020 season which many in Pittsburgh viewed as a down year.
A look at the Eagles top twelve cornerbacks since 1980 and where they were drafted. The Eagles have struggled recently with good corner play but the history shows our best corners have been top picks.
The Eagles fanbase is excited about Gannon’s arrival and defensive scheme replacing Jim Schwartz’s. But what does his history show on developing the Eagles weakest position group?
A look at what Jalen Hurts will be for the Eagles in 2021 and which data matters (and which doesn’t). There isn’t a bigger impact to the Eagles than if Hurts can ascend to be their long-term…
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…
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
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.
A review of the top metrics that drive player value on the offense with a specific focus on what matters when watching a game.
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.
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.