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hoopR - Access Men's Basketball Play by Play Data

A utility to quickly obtain clean and tidy men's basketball play by play, box score, schedule and player data. More than 1,300 functions cover the API of the sports broadcaster 'ESPN' (originally the Entertainment and Sports Programming Network) for the National Basketball Association (NBA) and men's college basketball, with shot locations when available; the 'NBA Stats' API <https://www.nba.com/stats/>; the 'NBA G League'; Ken Pomeroy's men's college basketball statistics website <https://kenpom.com> (for users with an active subscription); the 'CollegeBasketballData' API; 'Bart Torvik'; 'RealGM'; 'Basketball-Reference'; 'Fox Sports'; the National Collegiate Athletic Association ('NCAA'); 'EuroLeague'; and about two dozen international leagues and competitions. Among them are the events of the International Basketball Federation ('FIBA'), Spain's 'Liga ACB' (run by the Association of Basketball Clubs, 'ACB'), Italy's 'Lega Basket', the 'VTB United League' (named after its sponsor, the bank 'VTB'), Japan's 'B.LEAGUE', Australia's National Basketball League ('NBL'), the Korean Basketball League ('KBL') and the Chinese Basketball Association ('CBA'). Loaders read the pre-built play by play, box score and schedule data sets published by the 'SportsDataverse'.

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basketballcollege-basketballespnkenpomnbanba-analyticsnba-apinba-datanba-statisticsnba-statsnba-stats-apincaancaa-basketballncaa-bracketncaa-playersncaa-ratingsncaamsportsdataverse

9.60 score 153 stars 1 dependents 633 scripts 1.9k downloads

ggshakeR - Analytics and Visualization Package for Soccer Data

ggshakeR is an analysis and visualization R package that works with publically available soccer data. The datasets (for now) include FBref, StatsBomb, and understat.

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analysisdata-analysisdata-visualizationfootball-analyticslibrarymachine-learningplottingsoccersoccer-analyticsvisualization

6.25 score 118 stars 15 scripts

cfbplotR - CFB Logo Plots in 'ggplot2'

A set of functions to visualize College Football analysis in 'ggplot2'.

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college-footballggplot2sportsdataverse

5.40 score 10 stars 188 scripts

sdvplotR - Sports Team Logo Plots in 'ggplot2', 'gt' and 'reactable'

Sports team logos, wordmarks, player headshots and team colors are drawn in 'ggplot2' plots, 'gt' and 'reactable' tables, and interactive 'plotly', 'ggiraph' and 'leaflet' charts and maps. The functions cover the 49 leagues of the SportsDataverse team index, including the National Football League, National Basketball Association, Women's National Basketball Association, Major League Baseball, National Hockey League, college football and basketball, and soccer. Images can be drawn as plot layers, as axis text and inside table cells, in the design a team used in a given season, and color scales map team identifiers to their official colors. Playing surfaces from 'sportyR' can be painted in a team's colors. Team identifiers from many data providers, including the codes of relocated franchises, are resolved to one canonical team id per league through the team index and logo manifest of the SportsDataverse logo archive <https://github.com/sportsdataverse/sdv-assets>, which the package reads at run time and bundles a copy of. The package is built on 'ggpath', follows the conventions of 'nflplotR' and works with the companion SportsDataverse data packages. It also includes the 'gtUtils' table themes, color legends, cut lines, significance notation, outlier flags and cropping and saving helpers for 'gt' tables.

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data-visualizationggplot2gtreactablesportssports-datasportsdataverse

4.21 score 4 stars 91 scripts