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TwitterUpdate 2023-10-13: The data now includes 2022 season.
Update 2022-08-06: The data now includes 2021 season.
Update 2021-08-02: The data now includes 2020 season and metrics for 2019 have been updated.
Update 2020-08-03: The data now includes 2017, 2018 and 2019 seasons. Keep in mind that metrics like gp, pts, reb, etc. are not complete for 2019 season, as it is ongoing at the time of upload.
As a life-long fan of basketball, I always wanted to combine my enthusiasm for the sport with passion for analytics 🏀📊. So, I utilized the NBA Stats API to pull together this data set. I hope it will prove to be as interesting to work with for you as it has been for me!
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. In addition, it has basic box score statistics such as games played, average number of points, rebounds, assists, etc.
The pull initially contained 52 rows of missing data. The gaps have been manually filled using data from Basketball Reference. I am not aware of any other data quality issues.
The data set can be used to explore how age/height/weight tendencies have changed over time due to changes in game philosophy and player development strategies. Also, it could be interesting to see how geographically diverse the NBA is and how oversees talents have influenced it. A longitudinal study on players' career arches can also be performed.
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TwitterThis graph shows the average age of the TV audience for selected sports in the United States in 2017. According to the source, the average age of the audience watching NHL on television in 2017 was 49 years old.
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TwitterBetween April 2023 and April 2024, the National Basketball Association (NBA) franchise Chicago Bulls saw a decline in Facebook fans and X (formerly Twitter) followers, dropping to ***** million fans and **** million followers, respectively. This decline was nothing new for the team's Facebook page, which had seen a steady decline in fans since March 2017; however, the franchise's X page had experienced continuous growth since September 2012.
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TwitterDuring the 2023/24 season, the 30 franchises comprising the National Basketball Association (NBA) recorded a total revenue amounting to 11.34 billion U.S. dollars. This was an increase of over 700 million dollars from the previous year. What are the NBA's main sources of revenue? Among the NBA's main sources of income are broadcasting deals, sponsorships, and gate receipts. In particular, the NBA's sponsorship revenue has consistently exceeded one billion U.S. dollars since the 2017/18 season. One of the league's main sponsors since then has been Nike, which is the league's official outfitter. Meanwhile, the share of overall revenue from gate receipts in the NBA was 21.57 percent in 2023/24. Which NBA team generates the most revenue? With a revenue of 800 million U.S. dollars, the Golden State Warriors were the NBA team with the highest revenue in the 2023/24 season. Between 2015 and 2023, the Warriors were a dominant force in the NBA, appearing in six of eight finals and winning four championships, ending their trophy drought stretching back to 1975. However, the Warriors still have some way to go to match the Boston Celtics and the Los Angeles Lakers as the NBA teams with the most championships, with the Celtics winning a record 18th championship title in 2024.
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Facebook
TwitterUpdate 2023-10-13: The data now includes 2022 season.
Update 2022-08-06: The data now includes 2021 season.
Update 2021-08-02: The data now includes 2020 season and metrics for 2019 have been updated.
Update 2020-08-03: The data now includes 2017, 2018 and 2019 seasons. Keep in mind that metrics like gp, pts, reb, etc. are not complete for 2019 season, as it is ongoing at the time of upload.
As a life-long fan of basketball, I always wanted to combine my enthusiasm for the sport with passion for analytics 🏀📊. So, I utilized the NBA Stats API to pull together this data set. I hope it will prove to be as interesting to work with for you as it has been for me!
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. In addition, it has basic box score statistics such as games played, average number of points, rebounds, assists, etc.
The pull initially contained 52 rows of missing data. The gaps have been manually filled using data from Basketball Reference. I am not aware of any other data quality issues.
The data set can be used to explore how age/height/weight tendencies have changed over time due to changes in game philosophy and player development strategies. Also, it could be interesting to see how geographically diverse the NBA is and how oversees talents have influenced it. A longitudinal study on players' career arches can also be performed.