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Dataset generado mediante web scraping responsable desde basketball-reference.com. Incluye estadísticas de jugadores NBA por temporada (PPG, RPG, APG, WS) y perfiles personales enriquecidos (altura, alias, logros…).
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset provides comprehensive performance statistics for NBA players throughout the 2024/2025 season. It includes both advanced and traditional stats, making it ideal for player performance analysis, efficiency assessments, and exploring game patterns and trends. Data was collected from reliable sources, ensuring quality and consistency across each record.
23.5
= 23 minutes and 30 seconds).YYYY-MM-DD
format.This dataset is perfectly suited for: - Statistical analysis: Gain insights into player and team performance trends. - Machine learning projects: Build predictive models using detailed player stats. - Performance prediction: Forecast player outcomes or team results. - Player comparisons: Analyze players across various metrics and categories. - Efficiency analysis: Evaluate player and team efficiency, comparing statistics across games. - Game trend exploration: Investigate patterns within the season, identifying shifts in strategies and performance.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
I scraped player stats for all NBA seasons, ranging from 1949-50 to 2021-22, from Basketball Reference.
The team Payroll and player salary data was scraped from Hoops Hype.
I utilized the nba_api python package to scrape all of the box score data.
To see the code for scraping both sites see my Github repo.
This data set is an update to datasets such as NBA Player Stats & NBA Data from Basketball Reference.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
El dataset ha sido recogido únicamente con fines educaciones desde la web “https://www.basketball-reference.com” los cuales son los dueños legítimos y originales de esta información. El dataset contiene estadísticas individuales de los jugadores de la NBA durante el transcurso tanto de la fase regular como de la fase de “play offs” de la liga. Estas estadísticas representan diferentes aspectos básicos del juego habituales en este deporte. El dataset recoge de forma general las estadísticas, a final de temporada, de la media por partido en diferentes aspectos del deporte.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Analysis of ‘NBA Player Stats (2019-20)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/nicklauskim/nba-per-game-stats-201920 on 28 January 2022.
--- Dataset description provided by original source is as follows ---
The 2019-20 NBA season is now officially over, closing the books on a season that has been truly remarkable in so many ways. As an avid basketball fan, I watched this season very closely and seeing as I haven't yet seen a complete, compiled set of statistics for the 2020 season, I went about creating this dataset!
This dataset contains several files, each pertaining to a different type of statistic (basic, advanced, per 36 mins, etc.) for all players for the 2019-20 NBA regular season. This dataset contains all kinds of basic and advanced stats, from points and rebounds to box plus-minus and VORP.
These stats can be used for a variety of visualization tasks and exploratory data analysis to show trends and oddities in the numbers these players produced this season. Some example questions to ponder:
I look forward to seeing some of your insights! Have fun with it, NBA fans!
--- Original source retains full ownership of the source dataset ---
The league's playoff tournament extends into June. As of 2020, NBA players are the world's best paid athletes by average annual salary per player.
The NBA is an active member of USA Basketball (USAB), which is recognized by the FIBA (International Basketball Federation) as the national governing body for basketball in the United States.
The league's several international as well as individual team offices are directed out of its head offices in Midtown Manhattan, while its NBA Entertainment and NBA TV studios are directed out of offices located in Secaucus, New Jersey.
The NBA is the third wealthiest professional sport league after the National Football League (NFL) and Major League Baseball (MLB) by revenue.
This is one of the most common questions of everyone's life that how are these basketball players such rich and how are they getting paid, and even the stats about how everything is done on a team.
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Analysis of ‘2021-2022 NBA Player Stats’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/vivovinco/nba-player-stats on 13 February 2022.
--- Dataset description provided by original source is as follows ---
This dataset contains 2021-2022 regular season NBA player stats per game.
+500 rows and 30 columns. Columns' description are listed below.
Data from Basketball Reference. Image from NBA.
If you're reading this, please upvote.
--- Original source retains full ownership of the source dataset ---
https://brightdata.com/licensehttps://brightdata.com/license
We will create a customized NBA dataset tailored to your specific requirements. Data points may include player statistics, team rankings, game scores, player contracts, and other relevant metrics.
Utilize our NBA datasets for a variety of applications to boost strategic planning and performance analysis. Analyzing these datasets can help organizations understand player performance and market trends within the basketball industry, allowing for more precise team management and marketing strategies. You can choose to access the complete dataset or a customized subset based on your business needs.
Popular use cases include: enhancing player performance analysis, refining team strategies, and optimizing fan engagement efforts.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Complete record of all basketball players in NBA history with career statistics and biographical information
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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Web scraping Euroleage players data of season 2020-2021.
Datasets contain information on basic basketball stats and personal data of each player like born date, height or team he palyed for
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains 2021-2022 regular season NBA player stats per game. Note that there are duplicate player names resulted from team changes.
+500 rows and 30 columns. Columns' description are listed below.
Data from Basketball Reference. Image from NBA.
If you're reading this, please upvote.
In February 2023, LeBron James broke the NBA all-time points record, scoring 38 points in the LA Lakers' 133-130 loss to the Oklahoma City Thunder. Following the game, James' total stood at 38,390. The previous record holder, Kareem Abdul-Jabbar, had scored 38,387 points for the Milwaukee Bucks and the Lakers in an illustrious 20-year career spanning from 1969 to 1989. As of April 2025, James had a total of 42,184 points, breaking the 40 thousand points mark in a 2024 loss to the Denver Nuggets. Who has scored the most points in NBA playoffs? This statistic only shows points scored in regular-season NBA games and does not take the playoffs into account. Prior to breaking the all-time points record, LeBron James already held the record for the most points scored in NBA playoffs, which stood at 8,023 points as of 2024. He is also the career leader for the Cleveland Cavaliers, for which he played a total of 11 seasons, in many important statistical categories like points, assists, rebounds, steals, and games played. James has been similarly dominant off the court, being the highest-paid player in the NBA, with his total earnings calculated to reach nearly 130 million U.S. dollars in the 2024/25 season. Who has the most NBA assists? After a career spanning 19 years with the Utah Jazz, John Stockton holds the all-time record for the most assists in the NBA. In his time with the Jazz, Stockton had a total of 15,806 assists and was a 10-time All-Star, however, never won an NBA championship. Ranked second and third for assists were Chris Paul and Jason Kidd, respectively.
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The Physiological Analysis of Female Basketball players (PHYAFB) database is a valuable resource for studying the physiological demands placed on female amateur basketball players during official games. This database includes heart rate data from ten female players aged between 18 and 26 years, which were collected during ten high-stress matches played during a crucial relegation phase. In total, almost 350,000 heart rate samples have been reported. The data is stored in CSV format, facilitating easy access and analysis, and the database comes with Python source code to support initial examination. The primary aim of the PHYAFB database is to provide a useful reference for other teams facing similar situations. Furthermore, the database represents a unique and valuable resource for sports scientists, coaches, and trainers seeking to comprehend the physiological demands of female basketball players during official competitions. Through the analysis of heart rate data, coaches and trainers can identify the intensity and duration of physical activity during games, enabling the development of more effective training programs. Additionally, the database can be used to compare the physiological demands placed on male and female basketball players or to investigate the impact of different game strategies on player performance.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Current and updated dataset of NBA Playoff statistics since the 1949-1950 season!
All standard statistics like Assists Per Game, Minutes Per Game, etc. are present as well as advanced statistics like Player Efficiency Rating (PER), Value Over Replacement Player (VORP), Win Share, and more!
This dataset was web scraped from https://www.basketball-reference.com.
Feel free to let me know if there are any statistics or player information that isn't present that you think should be added!
If you want the regular season statistics check out my other data set.
For more details on how some statistics are calculated, please see the https://www.basketball-reference.com/about/glossary.html
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.github_repos.[TABLENAME]
. Fork this kernel to get started to learn how to safely manage analyzing large BigQuery datasets.
Sportradar: Copyright Sportradar LLC. Access to data is intended solely for internal research and testing purposes, and is not to be used for any business or commercial purpose. Data are not to be exploited in any manner without express approval from Sportradar.
NCAA®: Copyright National Collegiate Athletic Association. Access to data is provided solely for internal research and testing purposes, and may not be used for any business or commercial purpose. Data are not to be exploited in any manner without express approval from the National Collegiate Athletic Association.
The National Basketball Association is a professional basketball league for men with 30 teams competing against each other in the United States. A survey conducted in March 2023 in the United States showed that 40 percent of black respondents had no interest in the NBA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The database contains several datasets and files with NBA statistical data spanning four seasons (2015-2016 to 2018-2019). These datasets were procured from the Basketball Reference database (https://www.basketball-reference.com/), a publicly accessible source of NBA data.
The main file, dat.cleaned.csv
, includes the Win/Loss records for all thirty NBA teams, along with box scores and advanced statistics. The data captured over the four seasons correspond to about 4,920 regular-season games. A distinguishing feature of this dataset is the repeated measurements per player within a team across the seasons. However, it's important to note that these repeated measurements are not independent, necessitating the use of hierarchical modelling to properly handle the data.
Two sets of additional text files (per_2017.txt
, per_2018.txt
, rpm_2017.txt
, rpm_2018.txt
) provide specific metrics for player performance. The 'PER' files contain the Athlete Efficiency Rating (PER) for the years 2017 and 2018. The 'RPM' files contain the ESPN-developed score called Real Plus-Minus (RPM) for the same years.
However, potential biases or limitations within the datasets should be acknowledged. For instance, the Basketball Reference website might not include data from some matches or may exclude certain variables, potentially affecting the quality and accuracy of the dataset.
You can visit this website for more details https://www.basketball-reference.com/leagues/NBA_2021_per_game.html
A January 2024 survey in the United States revealed that almost 60 percent of NBA fans who attended or watched games were male. Meanwhile, just over 40 percent of NBA fans were female.
The minimum salary for players signing contracts in the 2024/25 NBA season amounted to 1.16 million U.S. dollars. This represented an increase of around 3 percent from the previous season, when the figure stood at 1.12 million U.S. dollars.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
Dataset generado mediante web scraping responsable desde basketball-reference.com. Incluye estadísticas de jugadores NBA por temporada (PPG, RPG, APG, WS) y perfiles personales enriquecidos (altura, alias, logros…).