- h
nba-games
- huggingface.co
Updated Feb 13, 2025
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCiteHamza Shezad (2025). nba-games [Dataset]. https://huggingface.co/datasets/hamzas/nba-gamesCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedFeb 13, 2025AuthorsHamza ShezadDescriptionNBA Games Data
This data is an updated version of the original NBA Games by Nathan Lauga.
Data source Code Updated to: 2025-02-13
The dataset retains the original format and includes the following files:
games.csv – Summary of NBA games, including scores and team details. games_details.csv – Detailed player statistics for each game. players.csv – Player information. ranking.csv – Daily NBA team rankings. teams.csv – List of all NBA teams.
NBA Player Shot Dataset (2023)
- kaggle.com
Updated Oct 23, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDhaval Rupapara (2023). NBA Player Shot Dataset (2023) [Dataset]. https://www.kaggle.com/datasets/dhavalrupapara/nba-2023-player-shot-datasetCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 23, 2023AuthorsDhaval RupaparaLicensehttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
DescriptionThis dataset opens the door to the intricacies of the 2023 NBA season, offering a profound understanding of the art of scoring in professional basketball. Within its comprehensive analysis, it showcases the remarkable prowess of 3 players LeBron James, James Harden, and Stephen Curry—true icons of the sport. Delve deep into the strategic brilliance that defines these players' shooting trends, performance metrics, and unwavering precision on the court. Whether you're a passionate basketball enthusiast or a data-driven analyst, this dataset provides a unique and invaluable window into the mastery of these legendary athletes and the ever-evolving game of basketball.
Key Features
Column Names Description Top The vertical position on the court where the shot was taken. Left The horizontal position on the court where the shot was taken. Date The date when the shot was taken. (e.g., Oct 18, 2022) Qtr The quarter in which the shot was attempted, typically represented as "1st Qtr," "2nd Qtr," etc. Time Remaining The time remaining in the quarter when the shot was attempted, typically displayed as minutes and seconds (e.g., 09:26). Result Indicates whether the shot was successful, with "TRUE" for a made shot and "FALSE" for a missed shot. Shot Type Describes the type of shot attempted, such as a "2" for a two-point shot or "3" for a three-point shot. Distance (ft) The distance in feet from the hoop to where the shot was taken. Lead Indicates whether the team was leading when the shot was attempted, with "TRUE" for a lead and "FALSE" for no lead. LeBron Team Score The team's score (in points) when the shot was taken. Opponent Team Score The opposing team's score (in points) when the shot was taken. Opponent The abbreviation for the opposing team (e.g., GSW for Golden State Warriors). Team The abbreviation for LeBron James's team (e.g., LAL for Los Angeles Lakers). Season The season in which the shots were taken, indicated as the year (e.g., 2023). Color Represents the color code associated with the shot, which may indicate shot outcomes or other characteristics (e.g., "red" or "green"). How to use this dataset
Data Scientists and Analysts: Employ advanced statistical analysis to uncover hidden patterns and insights in the shooting trends of LeBron James, James Harden, and Stephen Curry.
Basketball Researchers and Analysts: Evaluate the impact of shooting techniques and performance on game outcomes.
NBA Coaches and Officials: Utilize the dataset to study the strengths and weaknesses of individual players, enabling more targeted coaching and defensive strategies.
Sports Journalists and Commentators: Access detailed statistics to enhance game commentary and provide viewers with deeper insights into player performance.
Basketball Enthusiasts and Fans: Gain a new perspective on the game by exploring the shooting trends and performance of their favorite players.
Sports Stadium Locations
- kaggle.com
Updated Jan 15, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteLogan Donaldson (2022). Sports Stadium Locations [Dataset]. https://www.kaggle.com/datasets/logandonaldson/sports-stadium-locationsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJan 15, 2022Dataset provided byKaggleAuthorsLogan DonaldsonLicensehttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
DescriptionContent
Contains the latitude and longitude coordinates in decimal format of every Major League Baseball (MLB), National Football League (NFL), National Basketball Association (NBA), National Hockey League (NHL), and Major League Soccer (MLS) team's home stadium. Also includes information about each team's division.
Note that as teams change names, new stadiums are built, and sports league realign divisions this information will become out of date.
Credit to Mick Haupt via Unsplash for the banner photo.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailNBA Games Data
This data is an updated version of the original NBA Games by Nathan Lauga.
Data source Code Updated to: 2025-02-13
The dataset retains the original format and includes the following files:
games.csv – Summary of NBA games, including scores and team details. games_details.csv – Detailed player statistics for each game. players.csv – Player information. ranking.csv – Daily NBA team rankings. teams.csv – List of all NBA teams.