6 tutorials

Football

nflverse opens up every NFL play. Compute EPA, compare quarterbacks, and learn the modern football-analytics toolkit.

A season of play-by-play loaded into pandas, with a plays-per-team summary.

Football Beginner

Pull Your First NFL Data with nfl_data_py

Load a full season of NFL play-by-play, the nflverse way - including the real pandas-version gotcha that breaks nfl_data_py and the one-line fix around it.

~9 min

A labeled scatter of quarterbacks by EPA per play and completion rate.

Football Intermediate

Build a QB Efficiency Comparison Chart

Aggregate play-by-play to the quarterback level and build a labeled scatter of EPA per dropback against completion percentage to compare passers fairly.

~9 min

A heatmap of how pass-happy a team is by down and distance.

Football Intermediate

Team Tendencies: Run/Pass Rate by Down and Distance

Pivot a season of play-by-play to map a team's run-pass tendencies across every down and distance - exactly the scouting grid coordinators build before a game.

~9 min

A leaderboard of receivers by volume, efficiency, and YAC.

Football Intermediate

Receiver Efficiency: Targets, Catches, and Yards After Catch

Aggregate play-by-play to the receiver level to compare pass-catchers on targets, catch rate, yards after the catch, and EPA - separating volume from true efficiency.

~10 min

An EPA-per-play summary by down, computed straight from play-by-play.

Football Advanced

EPA Explained by Building It: Analyze Play-by-Play Data

Expected Points Added is less mysterious than it sounds. Work with nflverse EPA directly, summarize it by down and play type, and learn what it really measures.

~9 min

A ranking of how aggressive each team is on fourth down.

Football Advanced

Fourth-Down Decisions: Which Teams Go For It?

Filter play-by-play to fourth downs, classify each decision (go, punt, kick), and rank teams by how often they go for it - the clearest signal of analytics-era coaching.

~9 min