SportsDataverse

🏈 cfbseedR is on CRAN. An R package to simulate college football seasons: standings, conference champions, and a seeded 12-team Playoff field — using each conference's own published tiebreaker procedure. Pairs with cfbfastR. install.packages("cfbseedR") Built by @saiemgilani.bsky.social

Or just run the season. 138 FBS teams, 761 games, 51 of them played. cfb_simulations() splits the run into chunks and dispatches them through future, so a parallel plan spreads it across your cores. summary() returns a gt table grouped by conference.

🏈 cfbseedR is on CRAN. An R package to simulate college football seasons: standings, conference champions, and a seeded 12-team Playoff field — using each conference's own published tiebreaker procedure. Pairs with cfbfastR. install.packages("cfbseedR") Built by @saiemgilani.bsky.social

The Playoff's auto-bid policy is season-keyed too. autobid = "2026": the ACC, Big 12, Big Ten and SEC champions are in regardless of ranking, the best Group-of-6 team is in champion or not, and Notre Dame is in when ranked inside the field. autobid = "2025" keeps the old rule.

🏈 cfbseedR is on CRAN. An R package to simulate college football seasons: standings, conference champions, and a seeded 12-team Playoff field — using each conference's own published tiebreaker procedure. Pairs with cfbfastR. install.packages("cfbseedR") Built by @saiemgilani.bsky.social

The part that isn't nflseedR: college football has no single rulebook. Nine conferences ship with their OWN published procedure. The Mountain West leads with a metric composite, not head-to-head. The SEC ends on a capped scoring margin. The Big 12 counts total wins.

🏈 cfbseedR is on CRAN. An R package to simulate college football seasons: standings, conference champions, and a seeded 12-team Playoff field — using each conference's own published tiebreaker procedure. Pairs with cfbfastR. install.packages("cfbseedR") Built by @saiemgilani.bsky.social

🎲 oddsapiR 1.0.0 is on CRAN — the R client for The Odds API hits its first major release, and the stability milestone for the betting-data layer of the SportsDataverse. install.packages("oddsapiR") 📖 https://oddsapiR.sportsdataverse.org @saiemgilani.bsky.social #rstats

Odds live on the Python side too — sportsdataverse.odds, reading the same market data into polars.

🎲 oddsapiR 1.0.0 is on CRAN — the R client for The Odds API hits its first major release, and the stability milestone for the betting-data layer of the SportsDataverse. install.packages("oddsapiR") 📖 https://oddsapiR.sportsdataverse.org @saiemgilani.bsky.social #rstats

toa_quota() reports your usage credits from the most recent request — remaining, used, and what the last call cost. The same values ride along on every returned tibble and print with it, so you always know where you stand against your plan.

🎲 oddsapiR 1.0.0 is on CRAN — the R client for The Odds API hits its first major release, and the stability milestone for the betting-data layer of the SportsDataverse. install.packages("oddsapiR") 📖 https://oddsapiR.sportsdataverse.org @saiemgilani.bsky.social #rstats

⚾ baseballr 2.0.0 is on CRAN, and it's a big one. install.packages("baseballr") 📖 https://baseballr.sportsdataverse.org @saiemgilani.bsky.social @billpetti.bsky.social #rstats

Its Python counterpart, sportsdataverse-py, carries the same ~43-endpoint Baseball Savant surface and the matching model loaders — same Statcast work, same published datasets.

⚾ baseballr 2.0.0 is on CRAN, and it's a big one. install.packages("baseballr") 📖 https://baseballr.sportsdataverse.org @saiemgilani.bsky.social @billpetti.bsky.social #rstats

Also new to Statcast: minor-league and World Baseball Classic search (they live on separate Savant routes), plus Savant's own pitch-type color palette for charts.

⚾ baseballr 2.0.0 is on CRAN, and it's a big one. install.packages("baseballr") 📖 https://baseballr.sportsdataverse.org @saiemgilani.bsky.social @billpetti.bsky.social #rstats

🏒 fastRhockey 1.0.0 is on CRAN — API stability, and very nearly a total rebuild. install.packages("fastRhockey") 📖 https://fastRhockey.sportsdataverse.org @saiemgilani.bsky.social #rstats

sportsdataverse-py reads the same HockeyTech feed, covering the PWHL plus 19 junior and minor leagues from one registry.

🏒 fastRhockey 1.0.0 is on CRAN — API stability, and very nearly a total rebuild. install.packages("fastRhockey") 📖 https://fastRhockey.sportsdataverse.org @saiemgilani.bsky.social #rstats

PWHL was rewritten and expanded — players, leaders, transactions, playoff bracket, shift charts, xG play-by-play — plus fixes so pwhl_stats() finally honors the season and team you asked for.

🏒 fastRhockey 1.0.0 is on CRAN — API stability, and very nearly a total rebuild. install.packages("fastRhockey") 📖 https://fastRhockey.sportsdataverse.org @saiemgilani.bsky.social #rstats

🏀 hoopR 3.1.0 is on CRAN — men's basketball keeps pace with its sister package. install.packages("hoopR") 📖 https://hoopr.sportsdataverse.org @saiemgilani.bsky.social #rstats

NBA and MBB crosswalks link ESPN, NBA Stats, KenPom, Bart Torvik and Fox Sports on a shared key, so identities line up across every source hoopR touches. As with wehoop, the same engine and the same datasets are there in sportsdataverse-py if Python is where you work.

🏀 hoopR 3.1.0 is on CRAN — men's basketball keeps pace with its sister package. install.packages("hoopR") 📖 https://hoopr.sportsdataverse.org @saiemgilani.bsky.social #rstats

The full NCAA men's basketball family: play-by-play with lineups, possessions and stints, shots back to 2019, box scores, rosters and schedules. League-wide NCAA MBB RAPM across 17 published seasons.

🏀 wehoop 3.0.0 is on CRAN. Women's basketball data in R levels up. install.packages("wehoop") 📖 https://wehoop.sportsdataverse.org @saiemgilani.bsky.social #rstats

New crosswalks link ESPN, the WNBA Stats API, Fox Sports and Bart Torvik team/game/player identities on one key — the end of hand-mapping team names between sources.

🏀 wehoop 3.0.0 is on CRAN. Women's basketball data in R levels up. install.packages("wehoop") 📖 https://wehoop.sportsdataverse.org @saiemgilani.bsky.social #rstats

Plus league-wide NCAA WBB RAPM: regularized adjusted plus-minus for all of Division I across 16 published seasons, and expanded WNBA Stats coverage with model-dataset loaders.

🏀 wehoop 3.0.0 is on CRAN. Women's basketball data in R levels up. install.packages("wehoop") 📖 https://wehoop.sportsdataverse.org @saiemgilani.bsky.social #rstats

🏈 Good news / bad news for anyone computing CFB EPA/WPA themselves this weekend. Worth two minutes before today's kickoffs. Good news: on GitHub, EP and WP now load from the shared cfb_model_artifacts bundle — the same artifact sportsdataverse-py scores with.

All of it is in the next CRAN submission. Sorry for the split — enjoy Week 1. 🏈 📖 https://cfbfastR.sportsdataverse.org/news/index.html

🏈 Good news / bad news for anyone computing CFB EPA/WPA themselves this weekend. Worth two minutes before today's kickoffs. Good news: on GitHub, EP and WP now load from the shared cfb_model_artifacts bundle — the same artifact sportsdataverse-py scores with.

What to do the next couple weekends: use the loaders. load_espn_cfb_pbp() already reads published data carrying the updated models and columns, and load_cfb_pbp() will soon. Hold off on compiling pbp from scratch unless you want the older model on purpose.

🏈 Good news / bad news for anyone computing CFB EPA/WPA themselves this weekend. Worth two minutes before today's kickoffs. Good news: on GitHub, EP and WP now load from the shared cfb_model_artifacts bundle — the same artifact sportsdataverse-py scores with.

That branch also adds cp/cpoe, spread-aware vegas_wp, xpass/pass_oe, fourth-down and two-point decision surfaces, and create_qbr() — plus a fix for the failure that made epa_wpa = TRUE unusable for 2006–2013.

🏈 cfbfastR 3.0.0 is on CRAN — the biggest release in the package's history, and it lands for Week 1. install.packages("cfbfastR")

Every one of those loaders has a twin in sportsdataverse-py reading the same published files — the R and Python loader surfaces were built to mirror each other.

🏈 cfbfastR 3.0.0 is on CRAN — the biggest release in the package's history, and it lands for Week 1. install.packages("cfbfastR")

48 new full-season loaders now cover every published release dataset: 27 ESPN datasets back to 2004, ratings, talent, recruiting and crosswalks, plus 10 stats.ncaa.org datasets — including FCS play-by-play.

🏈 cfbfastR 3.0.0 is on CRAN — the biggest release in the package's history, and it lands for Week 1. install.packages("cfbfastR")

ESPN college football coverage went from 8 wrappers to 73: players, teams, games, play-by-play, FPI, QBR, recruiting and futures. There's a new Fox Sports layer too (fox_cfb_*).