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
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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.
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
Content. Data from the 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, and 2021 Division I college basketball seasons. cbb.csv has seasons 2013-2019 combined. The 2020 season's data set is kept separate from the other seasons, because there was no postseason due to the Coronavirus. The 2021 data is from 3/15/2021 and will be updated and added to cbb.csv after the tournament.
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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 ).
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.
This dataset was collected to work on NBA games data. I used the nba stats website to create this dataset. You can find more details about data collection in my GitHub repo here : nba predictor repo. If you want more informations about this api endpoint feel free to go on the nba_api GitHub repo that documentate each endpoint : link here.