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.
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
Basketball dataset Data Set. Download: Data Folder, Data Set Description. Abstract: It's data collected from different volunteers that are done in a basketball practice: dribbling, pass, shoot, picking the ball, and holding the ball. Data Set Characteristics: Time-Series.
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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IPL Ball Detection Datasets. Ball detection datasets comprises three diffrent publicly available datasets for soccer, basketball, and volleyball sports. These datasets consist of approximately 34000 frames. They are labeled manually, frame by frame, for the purpose of academic studies in ball detection by the members of Image Processing Laboratory (IPL) of Sharif University of Technology.
The baseline offset percentage of where the ball was shot/passed: SidelineOffsetPercentage from 2017: decimal: 32: Yes: Yes: Yes: The sideline offset percentage of where the ball was shot/passed: Coordinates from 2017: string: 10: Yes: Yes: Yes: The x/y coordinates of where the ball was shot/passed: StolenByPlayerID from 2017: integer: 32: Yes: Yes: Yes
NCAA Basketball: This dataset contains data about NCAA Basketball teams, teams, and games. It covers play-by-play and box scores from 2009 and final scores from 1996. 🏎️ Racing Data Sets. Ergast Formula One Dataset: An experimental web service which provides a historical record of motor racing data for non-commercial purposes.
Materials for. no-code. sports data science. You spend hours trying to collect and clean up sports data. BigDataBall delivers the most relevant and cost-effective environment for your research. Analyze sports data in an easier and faster way. Explore Datasets. Trusted by 17,000 people doing their own data science!
Dataset. As mentioned above, the SpaceJam Basketball Action Dataset was used to train the R(2+1)D CNN model for video/action classification of basketball actions. The Repo contains two datasets (clips->.mp4 files and joints -> .npy files) of basketball single-player actions. The size of the two final annotated datasets is about 32,560 examples.