NBA Basketball Datasets. NBA Player and Play by Play datasets in CSV Format – perfect for machine learning / sports data analysis & visualization, and building sportsbetting prediction models. NBA Player List (CSV) Data for every player to have ever played in the NBA, and each player’s player id. NBA Player list CSV
This dataset is updated daily and contains data on all games, all teams, and all players within the NBA including: 60,000+ games (every game since the first NBA season in 1946-47) including for the games in which the statistics were recorded: Box scores, Game summaries, Officials, Inactive players, Linescores, Last face-off stats, Season series info, Game video availability.
Datasets for the 2013 through 2021 seasons. Content. Data from the 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, and 2021 Division I college basketball seasons.
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This dataset contains data about NCAA Basketball games, teams, and players. Game data covers play-by-play and box scores back to 2009, as well as final scores back to 1996. Additional data about wins and losses goes back to the 1894-5 season in some teams' cases. Querying BigQuery tables
There are a number of different basketball datasets on Kaggle. The most exciting is definitely the ongoing March Madness competition ( Link #1, Link #2 ). Some other basketball datasets include data on previous March Madness tournaments ( Link #3, Link #4 ), data on NBA stats ( Link #5, Link #6, Link #7, Link #8 ), and data on NCAA grades ( Link #9 ).
Dataset with all NBA games from 2004 season to dec 2020
The data set contains over two decades of data on each player who has been part of an NBA teams' roster. It captures demographic variables such as age, height, weight and place of birth, biographical details like the team played for, draft year and round.