Cheat sheets

The R metapackage at a glance — every member package, what it loads, and the one-line installs that pull the ecosystem together.

College football play-by-play, schedules and rosters — the CFBD, ESPN and stats.ncaa.org function families side by side.

Men's college basketball and the NBA — ESPN loaders, the stats.nba.com surface, and KenPom.

Women's basketball — the WNBA and women's college game, ESPN and stats.wnba.com in one place.

Baseball from every angle — MLB Stats API, Statcast, FanGraphs, Baseball Reference and NCAA baseball.

Hockey play-by-play and box scores — the NHL, the PWHL, and the ESPN hockey family.

Sportsbook odds, lines and player props from The Odds API — every sport key and market in one reference.

The college football toolkit sheet: team logos and scales in plots, fourth-down decision modelling, and season simulation with CFP seeding.

covers cfbplotR · cfb4th · cfbseedR

Regulation playing surfaces for every major sport, drawn to scale and ready to plot tracking data on.

MLB team logos, caps and player headshots as ggplot2 scales, geoms and gt helpers.

Team logos, wordmarks, headshots and colours for 28 leagues in ggplot2, gt, reactable, plotly, ggiraph and leaflet, plus team tiers, surfaces and coordinates.

The largest sheet in the set: the Python package's loaders, the ESPN wrapper families across every league, and the top-level namespace.

sportyR's Python twin — the same to-scale surfaces for matplotlib.

Team logos, wordmarks, headshots and colours on nine Python plotting libraries, plus the great_tables toolkit, surfaces and coordinates.

The JavaScript client at 4.0.0 — sportsdataverse-py's names, the cross-league ESPN layer, 27 native and provider families, the dataset loaders and the error vocabulary.

@sportsdataverse/sdvplot, sporty and sdvtables — team marks on seven chart libraries and React, playing surfaces, shot charts, linked interactivity and themed tables.