Introduction:

Embark on an enthralling exploration into the illustrious careers of basketball's most iconic figures in the NBA Legends Dataset. This meticulously curated collection chronicles the remarkable odysseys of legendary players, offering intimate glimpses into their unparalleled skills, unwavering determination, and relentless pursuit of excellence. As a tribute to the enduring legacies and profound impacts these legends have had on the game and countless lives, this dataset encapsulates their transcendent influences, both on and off the court.

Column Descriptions:

1. season: The NBA season during which the game took place.
2. date: The date of the game.
3. age: Kobe Bryant's age at the time of the game.
4. team_played: The team Kobe Bryant played for during the game.
5. game_type: The type of game (regular season, playoffs, etc.).
6. venue: The arena or stadium where the game was held.
7. opponent: The opposing team.
8. win_lose: Indicates whether Kobe's team won or lost the game.
9. point_difference: The difference in points between Kobe's team and the opposing team.
10. game_started: Whether Kobe started the game or came off the bench.
11. minutes_played: The total minutes Kobe played in the game.
12. fieldgoal: The number of field goals Kobe made.
13. fieldgoal_attempts: The total number of field goal attempts by Kobe.
14. fieldgoal_percent: Kobe's shooting percentage for field goals.
15. 3pointers: The number of three-pointers Kobe made.
16. 3pointers_attempts: The total number of three-point attempts by Kobe.
17. 3pointers_percent: Kobe's shooting percentage for three-pointers.
18. freethrows: The number of free throws Kobe made.
19. freethrows_attempt: The total number of free throw attempts by Kobe.
20. freethrow_percent: Kobe's shooting percentage for free throws.
21. offensive_rebounds: The number of offensive rebounds by Kobe.
22. defensive_rebounds: The number of defensive rebounds by Kobe.
23. total_rebounds: The total number of rebounds by Kobe.
24. assists: The number of assists by Kobe.
25. steals: The number of steals by Kobe.
26. blocks: The number of blocks by Kobe.
27. turnovers: The number of turnovers by Kobe.
28. personal_fouls: The number of personal fouls committed by Kobe.
29. points: The total points scored by Kobe in the game.

Influence of NBA Legends:

The enduring legacies of NBA legends transcend basketball, serving as timeless sources of inspiration for athletes and enthusiasts alike. Their remarkable achievements, unwavering work ethics, and unyielding self-belief epitomize the essence of greatness and resilience. As we delve into the intricacies of their journeys through this dataset, may their indelible spirits continue to inspire and motivate us to pursue excellence in every aspect of life

Photo by JC Gellidon on Unsplash

The National Basketball Association has one of the highest percentages of African American players from the big four professional sports leagues in North America. In 2023, approximately **** percent of NBA players were African American. Meanwhile, ethnically white players constituted a **** percent share of all NBA players that year. After the WNBA and NBA, the National Football League had the largest share of African Americans in a professional sports league in North America. How do other roles in the NBA compare? When it comes to African American representation in the NBA, no other role in the NBA is as well represented by African Americans as players. Meanwhile, on the opposite end of the scale, less than **** percent of team governors in the NBA were African American in 2023. During the 2022/23 season, the role with the second-highest share of African Americans was head coach, with a share of ** percent. That season, the number of African American head coaches in the NBA exceeded the number of white head coaches for the first time. African Americans in the NFL In 2022, the greatest share of players by ethnicity in the NFL were African American, with more than half of all NFL players falling within this group. The representation of African Americans in American Football extended beyond the playing field, with **** percent of NFL assistant coaches being African American in 2022 as well. However, positions such as vice presidents and head coaches were less representative of the African American population, as less than ** percent of the individuals fulfilling these roles in 2022 were African American.

We examine whether social data can be used to predict how members of Major League Baseball (MLB) and members of the National Basketball Association (NBA) transition between teams during their career. We find that incorporating social data into various machine learning algorithms substantially improves the algorithms' ability to correctly determine these transitions in the NBA but only marginally in MLB. We also measure the extent to which player performance and team fitness data can be used to predict transitions between teams. This data, however, only slightly improves our predictions for players for both basketball and baseball players. We also consider whether social, performance, and team fitness data can be used to infer past transitions. Here we find that social data significantly improves our inference accuracy in both the NBA and MLB but player performance and team fitness data again does little to improve this score.

As of 2024, the largest luxury tax bill footed by a team in the NBA came in the 2023/24 season, when the Golden State Warriors were taxed 176.9 million U.S. dollars by the league. The Warriors also held the other top-three spots, bringing their overall luxury tax payments from 2021/22 to 2023/24 to 510.9 million U.S. dollars.

Context

Events affect consumer behavior, driving people to stores in anticipation for certain occasions, yet also driving them away when life is too busy. The purpose of this data is to more thoroughly account for event impact on store sales thereby improving predictions.

Content

The comprehensive_event_calendar.csv file contains the events from the original M5 Competition dataset, but with additional holidays. Note that it does away with having 2 event columns and uses multiple rows to represent all the events on a given date. The dataset is meant to be used with the calendar.csv file of the M5 Competition, which contains the date information and the wm_yr_wk / d keys. Full disclosure, much of the data was taken from simple Google searches and Wikipedia for confirmation (https://www.wikipedia.org/).

Additional files with popular sporting events in the U.S. were included, as sports have traditionally had a significant impact on American culture. The basis of predictions is from the perspective of someone with knowledge up to May 22nd, 2016. Anything that would be unknown to a person as of that date is indicated as such in the data. That is, one can see finals events that are indicated as "tentative" and with teams that are blank because they would not have been known. The schedules for games, specifically NBA and NHL, are set in advance, so any information that would be known is indeed captured. Here are the following sporting events files with references used to report the data contained inside: - NFL_schedule.csv - https://www.pro-football-reference.com/years/2015/games.htm - https://en.wikipedia.org/wiki/2016_NFL_Draft - NBA_playoffs_schedule.csv - https://www.espn.com/nba/story/_/id/13728957/nba-tweaks-format-finals-ease-travel-demands - https://programminginsider.com/2016-nba-playoffs-conference-finals-tv-schedule-tnt-espn/ - https://www.basketball-reference.com/playoffs/NBA_2016_games.html - https://en.wikipedia.org/wiki/2016_NBA_Finals - NHL_playoffs_schedule.csv - https://www.cbssports.com/nhl/news/2016-nhl-playoffs-conference-finals-schedules-results-and-tv-listings/ - https://www.hockey-reference.com/leagues/NHL_2016_games.html - https://en.wikipedia.org/wiki/2016_Stanley_Cup_Finals - NCAA_FB_playoffs_schedule.csv - https://en.wikipedia.org/wiki/2016_College_Football_Playoff_National_Championship - NCAA_BB_playoffs_schedule.csv - https://en.wikipedia.org/wiki/2016_NCAA_Division_I_Men%27s_Basketball_Tournament#Bracket - MLB_playoffs_schedule.csv - https://www.baseball-reference.com/bullpen/2015_Postseason

Acknowledgements

Thank you to Samantha Gades for the banner photo taken from Unsplash.

An average of **** million viewers tuned in to watch NBA regular season games across ABC, ESPN and TNT in the 2024/25 season. This marked a slight decline in the number of viewers from the previous season.

Data was collected using a mixed qualitative-quantitative web survey, which was administered using E-lomake survey software. The survey included 20 questions of which 3 included multiple statements on a 5-point Likert-like scale. 12 of the questions were open-ended and the focus of both data collection and analysis was on qualitative understanding rather than quantification. The respondents were asked to describe and rate their experiences of the development-led archaeology process, usefulness and use of archaeological information, and to indicate the branch and size of the organisation they represented. The sample is essentially a convenience sample of Finnish and Swedish organisations, which contracted archaeological investigations in 2013-2014. For Sweden, the names of the organisations were harvested semi- automatically using custom-written php-scripts from the PDF reports covering the chosen timeframe and available at the Samla database of the NHB (samla.raa.se). For Finland, the same data was collected from Muinaisjäännösten hankerekisteri (engl. Antiquities Project Registry) database (http://kulttuuriymparisto. nba.fi) maintained by the National Board of Antiquities of Finland. Email addresses of the organisations and, as possible, individuals working at relevant parts of the organisation (depending on the type of the organisation, generally planning, development and property management related functions) were collected using public online sources, including the websites of the organisations. Invitations were sent during the summer and autumn of 2015 to 241 Swedish organisations and 131 Finnish organisations. One reminder to participate in the survey was submitted to all organisations. Nine invitations were returned as definitely undeliverable. In total 34 organisations participated in the survey, 14 from Finland and 20 from Sweden. Twenty of the 34 respondents classified their organisations as municipal which corresponds relatively well with the distribution of the organisations in the original population (126 of the 241 Swedish and 87 of the 131 Finnish organisations were municipalities, excluding municipal e.g. energy and water supply companies). Five of the 34 respondents represented construction companies, 3 organisations in the energy branch, 3 regional and 2 national public bodies. One organisation from the property development, mining and environmental consulting branches participated in the survey. Amounts of employess varied - eight of 34 organisations had less than 10, 14 of the 34 organizations had between 11 and 100, five of the 34 had between 101 and 999, and seven of the 34 organizations had over 1000 employees. Especially for Sweden, it is important to note that the collection of reports is not complete, partly because only a part of the available reports contained information on the organisations who had contracted and/or financed investigations. It is also possible that the semi-automated harvesting process failed to find a small number of organisations. In addition, it is likely that in a number of organisations, the invitation did not reach the relevant respondents even if the invitation contained a request to forward it to a colleague if the recipient considered herself to be unable to take the survey. Therefore, even if the sampling approach was designed to reach a reasonable level of systematicity, coverage and comparability, the lack of a comprehensive project or central report registry in Sweden, technical issues, variation in the reporting of the contracting organisations, and the varying specificity of contact details mean that the final sample is closer to a convenience sample than a systematic cross section. (Description from Huvila, I. Land developers and archaeological information. Open Information Science, 2017, 1(1), 71-90) The dataset was originally published in DiVA and moved to SND in 2024. Se engelsk version av denna katalogpost för beskrivning. Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.

Sporting Events Market Outlook

The global sporting events market is experiencing significant growth, with a market size that was valued at approximately $600 billion in 2023 and is projected to reach around $900 billion by 2032, reflecting a CAGR of 4.5%. This robust growth is driven by an array of factors including the increasing popularity of sports among a global audience, advancements in digital technology that enhance fan engagement, and the rising investment in sports infrastructure across various regions. The expanding reach of sports through digital platforms and live streaming services has made sporting events more accessible than ever before, fostering a larger fan base and, consequently, greater revenue opportunities.

The growing globalization of sports, where international events are becoming more frequent and accessible, significantly propels market growth. Major sporting events like the Olympics, FIFA World Cup, and regional tournaments attract massive global audiences, translating into substantial revenue through diverse streams such as broadcasting rights and sponsorships. Technological advancements are also revolutionizing the way audiences engage with sports, with innovations like virtual and augmented reality enhancing the viewing experience. Additionally, the integration of data analytics in sports helps in improving team performances and in tailoring strategies to enhance fan engagement, further driving the market expansion.

Another substantial growth factor is the rising investment in sports infrastructure. Governments and private entities are increasingly investing in the development of new stadiums and renovation of existing facilities to attract major events. This trend is particularly evident in developing countries, where hosting international sports events is seen as a means to boost tourism and enhance the country's global image. Moreover, the proliferation of sports leagues and tournaments in these regions is generating numerous opportunities for market participants. Such investments not only improve the quality of sporting events but also contribute to the economic development of the host locations, thereby driving the overall market growth.

The commercialization of sports is an essential factor influencing the market's growth trajectory. Sports have become a lucrative industry, attracting investments from corporations looking to tap into the extensive visibility that sports offer. Sponsorship and advertising opportunities remain abundant, with brands keen to associate their image with popular sports events to reach a broad audience. This commercial interest has led to increased monetization opportunities within the sports industry, which is further propelled by the emergence of eSports as a competitive and financially rewarding segment. The inclusion of eSports in mainstream sporting events is expanding the traditional sports market, engaging younger demographics and tech-savvy audiences.

Regionally, North America continues to dominate the sporting events market owing to its established sporting culture and infrastructure. The region boasts several major sports leagues like the NFL, NBA, and MLB, which attract large audiences and generate substantial revenue from broadcasting and sponsorship deals. The Asia Pacific region, however, is emerging as a significant market player, driven by a growing middle class and increasing disposable income. The enthusiasm for sports such as cricket, football, and basketball is on the rise, along with the popularity of eSports, positioning the region as a key growth area. Europe continues to hold a strong position thanks to its rich sporting history and hosting of major events like the UEFA Champions League, while Latin America and the Middle East & Africa are showing promising growth due to rising sports participation and infrastructure development.

Type Analysis

The sporting events market is broadly categorized into team sports, individual sports, and eSports. Team sports, which include popular games like football, basketball, and cricket, dominate the market owing to their massive global fan base and extensive media coverage. These sports have a long-standing tradition and enjoy immense popularity across various continents, contributing significantly to the revenue generated from ticket sales, broadcasting, and sponsorships. The collaborative nature of team sports fosters community spirit and regional loyalty, which translates into sustained audience engagement and financial support from local businesses and global corporations alike.

Individual sports, such as tennis, golf, and ath

Over the past few years, the US has seen a significant shift in the political sentiment surrounding sports betting and gambling, following the Supreme Court overruling a law which forbade states from...

As of April 2024, the National Basketball Association’s (NBA) official X (formerly Twitter) page had ***** million followers. Meanwhile, the NBA’s Facebook page had ***** million fans. Both social media followings have experienced near-constant growth since September 2012; however, as of April 2024, the league’s Facebook fan base has decreased. Conversely, the NBA’s X following has increased by approximately *** million followers every six months since March 2021. Which NBA team has the largest social media following? With approximately ** million followers, the Los Angeles Lakers were the most-followed NBA franchise on X as of 2024. Having last won the Finals in 2020, the Lakers are also tied with the Boston Celtics as the NBA team with the most championships. A key component of their Finals victory in 2020 was LeBron James, who won the Finals MVP that season. James’ status as a modern-day sporting icon is reflected in his sponsorship deals, which made him the NBA’s highest-paid player in 2023. Do NFL teams have larger social media presences? In what is perhaps a reflection of the NBA’s global appeal rather than its popularity in North America, the Lakers’ Twitter following was roughly ***** times larger than that of the NFL team with the most X followers, the New England Patriots, in 2023. Looking outside of North America, NBA franchises are, however, still far behind soccer teams such as Manchester United, whose X following of over ** million made it the most followed soccer club in the Premier League.

The NBA and WNBA are the two top leagues for basketball in the United States for men and women, respectively. In the NBA, players took home an average annual salary of over ** million U.S. dollars for the 2024/25 season, with the league's minimum salary set at **** million U.S. dollars that year. In comparison, players in the WNBA received an average annual pay of ******* U.S. dollars in the 2025 season, with the highest-earning players in the WNBA receiving around ******* U.S. dollars annually.

Founded in 1996, the Women's National Basketball Association (WNBA) is a professional basketball league composed of 12 teams from the United States. The Golden State Valkyries registered the highest average home attendance across the 2025 season with 18,064. This was an impressive turnout for the Valkyries', with 2025 being the team's inaugural season in the WNBA, validating the league's decision to expand the league in the San Francisco Bay Area. Player salaries in the WNBA Kelsey Mitchell of the Indiana Fever was the highest earner in the WNBA in the 2025 season, with an annual salary of approximately 249,000 U.S. dollars. Meanwhile, looking at the average annual salaries in the WNBA vs. the NBA, the average WNBA player took home around 114,000 U.S. dollars in 2025, which was nearly 100 times lower than the average NBA player salary in the 2024/25 season. WNBA league records Since the opening season in 1997, former and current WNBA players have been setting high standards and surpassing old ones. Sue Bird was the career games leader of the WNBA, having played a remarkable 580 professional games before her retirement in 2022. Meanwhile, the WNBA's all-time scoring leader was Diana Taurasi as of September 2025, who began her career with the Phoenix Mercury in 2004. Recent years have seen high-profile college basketball players also enter the league, such as Caitlin Clark, Angel Reese, and Paige Bueckers, all of whom have helped in varying degrees in raising the league's viewership.

In the 2023/24 season, the Golden State Warriors generated the most revenue from the National Basketball Association franchises. Specifically, the Golden State Warriors generated 800 million U.S. dollars in revenue by the end of the season.

The statistic depicts wholesale sales of basketball team uniforms in the United States from 2007 to 2024. In 2024, U.S. wholesale sales of basketball team uniforms amounted to about *** million U.S. dollars.

The 2024 US Open women's final, which saw Aryna Sabalenka win her third Grand Slam, drew around 1.62 million TV viewers in the United States. Since ESPN took over as the official broadcaster of the competition in the U.S. in 2015, viewership has been generally lower than when CBS was the broadcaster. Since 2010, the largest TV audience of a US Open women's final came in 2013, when Serena Williams beat Victoria Azarenka.