In this repo, I'll explore the nflverse:: packages along with a variety of data sources. Any analysis within will have a bias toward the Pittsburgh Steelers.
| File | Description |
|---|---|
| draft_picks.Rmd | Initial (limited) exploration of the data available from load_draft_picks() and load_combine() functions. |
| epa.Rmd | Exploration of the Expected Points Added metric as the 2024 season unfolds. |
| next_gen.Rmd | Exploration of NFL Next Gen Stats and Pro Football Reference data, borrowing heavily from Brad Congelio's book, Introduction to NFL Analytics with R. |
| personnel_groupings.Rmd | Initial exploration of snap count and personnel grouping data. |
| top_plays.Rmd | Explores the top plays from prior games, in terms of EPA and win probability, a la Unexpected Points. |
| understanding_nflverse.Rmd | Explores the nflreadr:: package with the help of Brad Congelio's book, Introduction to NFL Analytics with R. |
| unexpected_points.Rmd | Explores some of the data and attempts to replicate/understand the metrics used in the Unexpected Points Substack. |
| receiver_tracking_metrics_espn.Rmd | Scrapes the ESPN Analytics site and explores the Receiver Tracking Metrics, including receiver ratings like Open Score, Catch Score, and YAC score. |
| defensive_adv_stats.Rmd | Exploring the relationship between defensive EPA per play and defensive success rate -- is "bend don't break" sustainable? (in progress) |
| passing_breakdown.Rmd | Exploring some passing-related questions as they come, including EPA, play action success, and more. |
| weekly_cuts.Rmd | Working on a structure to analyze effectiveness week to week, summarizing offensive EPA and success rates (in progress). |
| fines.Rmd | Scrapes Spotrac's database of NFL fines and suspensions. |
