Major League Baseball (MLB) is a professional sports league in North America made up of 30 teams that compete in the American League and the National League. In 2023, just over ** percent of players within the league were Hispanic or Latino.

Major League Baseball is one of the most popular professional sports leagues in North America. The survey depicts the level of interest in the MLB in the United States and it showed that 36 percent of Hispanic respondents were avid fans of the league.

Major League Baseball (MLB) is a professional sports league in North America made up of ** teams that compete in the American League and the National League. In 2023, only *** percent of MLB players were African American.

A January 2024 survey in the United States revealed that almost 69 percent of MLB fans who attended or watched games were Caucasian. Meanwhile, close to 19 percent of MLB fans were Hispanic.

Major League Baseball (MLB) is a professional baseball league in North America made up of ** teams that compete in the American League and the National League. While ** percent of MLB fans are Hispanic, this figure varies greatly among supporters of different teams. Approximately ** percent of Miami Marlins supporters were Hispanic, while the figure among Atlanta Braves fans stood at ** percent.

The Major League Baseball is a North American sports organization comprising two leagues, the National League and the American League, with a total of ** teams. During a 2020 survey in the United States, ** percent of MLB fans were White.

Major League Baseball (MLB) is a professional sports league in North America made up of ** teams that compete in the American League and the National League. In 2023, roughly ** percent of head coaches within the league came from a minority background.

Major US Sports Venues Usage and Affiliations

Team, League, Conference and Population Usage Records

By Homeland Infrastructure Foundation [source]

About this dataset

This dataset provides detailed information on major sport venues, along with their usage and affiliations. It includes data related to the National Association for Stock Car Auto Racing, Indy Racing League, Major League Soccer, Major League Baseball, National Basketball Association, Women's National Basketball Association, National Hockey League, National Football League, PGA Tour, NCAA Division 1 FBS Football, NCAA Division 1 Basketball and thoroughbred horse racing.* This dataset contains columns such as USE (which describes the type of use for the venue), TEAM (the team associated with the venue), LEAGUE (the league associated with the venue) , CONFERENCE (the conference associated with the venue), DIVISION (the division associated with the venue), INST_AFFIL(the institution affiliation associatedwith the venue), TRACK_TYPE(type of track at a specific point in time or over its complete life-cycle) as well as LENGTH_MILEGE ('length of track in milege') ROOF_TYPE(The type of roof covering used at a specific point in time or over its complete life-cycle) and plenty other variables. With this astounding range and quantity of data points -- spanning countries across different continents and leagues -- explore patterns in sports games you never even thought were possible!

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How to use the dataset

The MajorUS Sports Venues Usage and Affiliations dataset includes data on major sports venues from leagues including National Association for Stock Car Auto Racing (NASCAR), Indy Racing League (IRL), Major League Soccer (MLS), Major League Baseball (MLB), National Basketball Association (NBA), Women's National Basketball Association (WNBA), National Hockey League (NHL), National Football League(NFL), PGA Tour, NCAA Division 1 FBS Football, NCAA Division 1 Basketball, and thoroughbred horse racing. The columns provided include USE_, USE_POP, TEAM, LEAGUE,CONFERENCE,DIVISION ,INST_AFFIL,TRACK_TYPE. LENGTH_MI,ROOF_TYPESTADIUM_SH,`ADDDATAE , USEWEBSITE',and'COMMENTS'.

The `USE~ column specifies the type of usage of each venue at which point can be college athletics or professional athletics. The corresponding column to this is the ‘USE~POP’ which informs you about how many people are using each venue for a particular sport at a given time. For example if there were 6 NHL games being played that day then USE~ would say “professional Athletics” while USE~POP would state “NNN” reflecting there were NNN people spectating those events collectively: The next column is TEAM which represents what team sponsors or manages each venue or what teams will be playing in them.

 Following on from TEAM is LEAGUE; here you can find out what league each team represents such as MLB, NBA etc… The next three columns CONFERENCE/DIVISION/INST ~ AFFIL provide more specific details as they blur into collegiate level as well where CONFERENCE indicates which conference they belong within their respective division: while INST ~ AFFIL states its affiliated school body e.g.: Southeastern Conference > University of Arkansas Razorbacks . Rounding up our overview these last three columns TRACK ~ TYPE/LENGTH

Research Ideas

• Analyzing the affiliations and usage of different sports venues to determine which teams or leagues have the most presence across a certain geographic area.
• Comparing different stadiums within a given conference in terms of their roof type, track length, and stadium shape for optimal design features for new construction projects.
• Placing sponsorships or advertisements within each sporting arena based on audience size, league popularity, and team affiliation within a given conference or division

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contribut...

This dataset, named "state_trends.csv," contains information about different U.S. states. Let's break down the attributes and understand what each column represents:

1. state: The name of the U.S. state.
2. state_code: The two-letter postal code abbreviation for the state.
3. population: The population of the state.
4. sq_miles: The total land area of the state in square miles.
5. pop_density: Population density, which is the number of people per square mile.
6. region: The geographical region of the United States to which the state belongs (e.g., South, West).
7. psych_region: A description of the psychological region based on personality traits.
8. psy_reg: A shortened version of the psychological region.
9. extraversion: A measure of the state's population tendency toward extraversion.
10. agreeableness: A measure of the state's population tendency toward agreeableness.
11. conscientiousness: A measure of the state's population tendency toward conscientiousness.
12. neuroticism: A measure of the state's population tendency toward neuroticism.
13. openness: A measure of the state's population tendency toward openness.
14. data_science: A score related to the state's interest or proficiency in the field of data science.
15. artificial_intelligence: A score related to the state's interest or proficiency in artificial intelligence.
16. machine_learning: A score related to the state's interest or proficiency in machine learning.
17. data_analysis: A score related to the state's interest or proficiency in data analysis.
18. business_intelligence: A score related to the state's interest or proficiency in business intelligence.
19. spreadsheet: A score related to the state's interest or proficiency in spreadsheet usage.
20. statistics: A score related to the state's interest or proficiency in statistics.
21. art: A score related to the state's interest or involvement in the field of art.
22. dance: A score related to the state's interest or involvement in dance.
23. museum: A score related to the state's interest or presence of museums.
24. basketball: A score related to the state's interest or involvement in basketball.
25. football: A score related to the state's interest or involvement in football.
26. baseball: A score related to the state's interest or involvement in baseball.
27. soccer: A score related to the state's interest or involvement in soccer.
28. hockey: A score related to the state's interest or involvement in hockey.
29. has_nba: Indicates whether the state has a National Basketball Association (NBA) team (Yes/No).
30. has_nfl: Indicates whether the state has a National Football League (NFL) team (Yes/No).
31. has_mlb: Indicates whether the state has a Major League Baseball (MLB) team (Yes/No).
32. has_mls: Indicates whether the state has a Major League Soccer (MLS) team (Yes/No).
33. has_nhl: Indicates whether the state has a National Hockey League (NHL) team (Yes/No).
34. has_any: Indicates whether the state has any of the mentioned professional sports teams (Yes/No).

In summary, this dataset provides a variety of information about U.S. states, including demographic data, geographical region, psychological region, personality traits, and scores related to interests or proficiencies in various fields such as data science, art, and sports.

Major League Baseball is one of the most popular professional sports leagues in North America. The survey depicts the level of interest in the MLB in the United States and it showed that 33 percent of respondents aged 35 to 44 were avid fans of the league.

WAR has changed so much about how we think about baseball over the last ~15 seasons. It’s baked into all types of player evaluation and valuation models in the public sphere and also impacts all MLB clubs proprietary valuation systems in some manner.

Before WAR, we had VORP nearly 20 years ago that you read about on lesser-known parts of the internet and hat tip to Keith Woolner (I’ve always thought it was cool and well deserved that he has his own Wikipedia page) who was largely responsible for starting this thinking and ideology a few decades ago.

It’s been amazing to see WAR’s evolution to this day. It would have been nearly unthinkable to say this 15-20 years ago, but now WAR is part of the latest MLB/MLBPA CBA (they have agreed to their own internal concoction and flavor of WAR for their intents and purposes) and it directly can impact MLB player earnings. Deservedly so, WAR has become part of the modern scouting and evaluation processes and has always been something that crosses my mind when evaluating players via objective and subjective lenses. It can be loosely converted to traditional scouting role grade systems and at the end of the day, WAR is typically going to trump many arguments when valuing and comparing players.

Facts are facts, yet nothing is perfect nor flawless and some grey area can exist. WAR is part of that camp despite the tremendous value it provides. I’ve always found it fascinating how updates to the metric (whether you are using fWAR or bWAR which agreed to normalize their replacement levels in unison several years ago) can tilt the scales especially with the advancement of defensive metrics in player valuation. I remember 10+ years ago, an update to fWAR impacted Jason Bay’s 2009 season and final tally with the Red Sox in his season preceding free agency. Regardless, he signed a lucrative free agent deal.

We’ve come a long way from giving all catchers the same defensive adjustment (the pre-framing metric obsession era!) in early iterations of fWAR to now seeing StatCast defensive data being incorporated into the metric for all positions. It’s certainly a step above just going with UZR or DRS for the defensive portion of WAR calculations. As a minor disclaimer, for all intents and purposes of this data set and study, the fWAR figures are from the “Legacy WAR” or “L-WAR” version before the latest change at FanGraphs in April, 2022. FanGraphs still lists the L-WAR figures from this study on custom leaderboards and you’ve got to work to find it but it’s no longer available on individual, default player pages after the most recent update to the website.

For this data set, I created graph distributions of fWAR as friendly visual reminders of the player populations from 2020-2021. Obviously, figures were diminished in 2020 due to the 60-game season.

Any version of WAR is a cumulative statistic and not to be confused with a counting statistic. If you’re performing very badly you can get into the negatives (I always think of Yuniesky Betancourt as a reminder of this; as an aside I really disliked watching him play) which is not possible with counting stats. Counting stats can’t go down once the season has begun. Rate stats are a different story.

These visuals also show how many players float around the replacement level line (-1 to 0) and its 50%+ in these recent seasons. That number also grows when accounting for players a tick above 0.0 in the positive WAR range. These visuals also allow us to further understand and appreciate greatness (e.g. 5.0+ fWAR players) which only encompassed 1.1% of the player population in 2021. It can also ground your expectations when seeing how many players truly float around league-average in a given season which was somewhere around 7-8% of all ML players in 2021. It's also a reminder that 1.0 WAR players are quite solid when compared against the entire player population. If you're a 1 WAR player that is nothing to sneeze at.

When evaluating players, baseball personnel (this can be analysts, scouts, player development staffers, coaches, executives of all varieties in front offices these days) often try to delineate betw...

AR Baseball Batting Helmet Display Market Outlook

According to our latest research, the Global AR Baseball Batting Helmet Display market size was valued at $145 million in 2024 and is projected to reach $1.02 billion by 2033, expanding at a CAGR of 24.8% during 2024–2033. The primary driver propelling this robust growth is the increasing demand for advanced wearable technology that enhances player performance, safety, and training efficiency in both professional and amateur baseball. The integration of Augmented Reality (AR) into batting helmets is revolutionizing the way athletes train and compete, offering real-time data overlays, pitch tracking, and performance analytics directly within the player’s field of vision. This technological evolution is not only improving player outcomes but also transforming coaching methodologies and fan engagement, setting the stage for widespread adoption across the global sports ecosystem.

Regional Outlook

North America commands the largest share of the global AR Baseball Batting Helmet Display market, accounting for over 45% of total revenue in 2024. The region’s dominance can be attributed to its mature sports technology infrastructure, high adoption rates among Major League Baseball (MLB) teams, and a robust ecosystem of tech startups and established sports equipment manufacturers. The presence of leading AR technology providers and a strong culture of sports innovation have fostered rapid development and deployment of AR-enabled helmet displays. Furthermore, supportive regulatory frameworks and substantial investments in player safety initiatives have accelerated market penetration. The United States, in particular, continues to be the epicenter of product launches, pilot programs, and commercialization efforts, with Canada following suit as a secondary hub for research and development.

The Asia Pacific region is emerging as the fastest-growing market, projected to expand at a remarkable CAGR of 32.4% from 2024 to 2033. This surge is fueled by increasing investments in sports technology, the rising popularity of baseball in countries such as Japan, South Korea, and Taiwan, and government initiatives aimed at modernizing sports training infrastructure. Local manufacturers are collaborating with global AR technology firms to develop cost-effective solutions tailored for regional markets. The proliferation of youth baseball academies and the growing emphasis on athlete development programs are further driving adoption. Additionally, Asia Pacific’s tech-savvy population and increasing disposable incomes are creating fertile ground for the uptake of AR helmet displays among both professional and amateur players.

Emerging economies in Latin America, the Middle East, and Africa are witnessing gradual adoption, primarily concentrated in urban centers and elite sports academies. While the potential for growth is significant, these regions face challenges such as limited access to advanced sports technology, budgetary constraints, and varying regulatory standards. However, localized demand is increasing as baseball gains traction, especially in countries like Mexico, Brazil, and South Africa. Policy reforms aimed at promoting sports and digitalization, along with strategic partnerships with international sports organizations, are expected to gradually bridge the adoption gap. Despite slower initial uptake, these markets represent untapped opportunities for manufacturers willing to invest in awareness campaigns and affordable product lines.

Report Scope

Computer Vision for Sports Officiating Market Outlook

According to our latest research, the Global Computer Vision for Sports Officiating market size was valued at $1.2 billion in 2024 and is projected to reach $4.7 billion by 2033, expanding at a robust CAGR of 16.4% during 2024–2033. This remarkable growth trajectory is primarily attributed to the increasing integration of advanced computer vision technologies in sports officiating to enhance accuracy, transparency, and fairness in decision-making processes. As sports organizations and leagues worldwide strive to minimize human error and improve the overall viewing experience for fans, the adoption of computer vision solutions has become a critical differentiator, driving a wave of innovation and investment across the sector.

Regional Outlook

North America currently holds the largest share of the Computer Vision for Sports Officiating market, accounting for over 38% of global revenue in 2024. This dominance is underpinned by the region’s mature sports industry ecosystem, widespread adoption of cutting-edge technologies, and the presence of leading technology providers and sports leagues. The National Football League (NFL), National Basketball Association (NBA), and Major League Baseball (MLB) have all actively embraced computer vision solutions for officiating, leveraging them to address contentious calls and enhance fan engagement. Furthermore, favorable regulatory frameworks, substantial investments in sports technology infrastructure, and a culture of innovation have positioned North America as the pacesetter in global adoption, with increasing collaborations between sports organizations and technology firms fueling further growth.

In contrast, the Asia Pacific region is emerging as the fastest-growing market, projected to register an impressive CAGR of 19.8% through 2033. This rapid expansion is driven by rising investments in sports technology, the proliferation of professional and amateur sports leagues, and growing demand for accurate officiating in countries such as China, India, Japan, and Australia. Governments and private entities are investing heavily in upgrading stadium infrastructure and integrating advanced officiating solutions to meet international standards. The region’s large, youthful population and increasing digital literacy are further catalyzing adoption, while high-profile events such as the Asian Games and Cricket World Cup are accelerating the deployment of computer vision technologies across multiple sports disciplines.

Meanwhile, emerging economies in Latin America, the Middle East, and Africa are beginning to recognize the value of computer vision for sports officiating, though adoption remains at a nascent stage. Challenges such as limited access to capital, inadequate technological infrastructure, and varying regulatory environments have slowed widespread implementation. However, localized demand is rising, particularly in football-centric nations like Brazil and South Africa, where the need for transparent officiating is pressing. Policy reforms, international partnerships, and knowledge transfer initiatives are gradually bridging the adoption gap, setting the stage for future growth as these regions continue to develop their sports sectors and embrace digital transformation.

Report Scope

This graph depicts the total regular season home attendance of all Major League Baseball teams in the 2024 season. The Los Angeles Dodgers took the top spot with a total season home attendance of 3.94 million people. Conversely, the team with the lowest total season home attendance was the Oakland Athletics, who registered an attendance of around 0.92 million fans in 2024.

This graph depicts the percentage of survey participants that follow Major League Baseball in 2014, by ethnicity. 34 percent of African American respondents said that they follow Baseball.

The average total regular season home attendance per team in Major League Baseball remained relatively stable from 2005 to 2024 with the notable exception of a considerable reduction in 2021 as a result of the coronavirus (COVID-19) containment measures. In 2024, the average total home attendance was 2.38 million.

This graph shows the distribution of the 2013 MLB regular season television audience by race or ethnicity. The share of white television viewers for the 2013 MLB regular season was ** percent.

American professional sports leagues are known for paying their players handsomely and Major League Baseball is no different. The highest earner in the MLB in 2024 was the starting pitcher for the Los Angeles Dodgers, Shohei Ohtani. The three-time All-Star took home a base salary of 70 million U.S. dollars in the 2024 season. MLB salaries The MLB has both a minimum player salary and a competitive balance tax (also called Luxury Tax) in place to ensure the league remains competitive and that no single team can buy its way to victory. In 2024, the minimum player salary stood at 740 thousand U.S. dollars, a generous increase from the minimum salary of 500 thousand U.S. dollars ten years earlier. However, because of the astronomical earnings of some of the star players in the league, the average player salary across the MLB was 4.98 million U.S. dollars in 2024. If a team’s payroll exceeds a certain figure, they are forced to pay a luxury tax in order to discourage the largest teams from buying the best players in the league. In 2024, this payroll cap was 237 million U.S. dollars. MLB revenue on the up In 2024, teams of Major League Baseball generated around 378.13 million U.S. dollars on average in revenue per team. The New York Yankees sat top of the pile as the franchise generated revenue of 679 million U.S. dollars. On the other end of the scale, the Oakland Athletics had revenue of 241 million U.S. dollars in 2024.

Major League Baseball has a minimum player salary in place to ensure that its athletes are fairly compensated for the work they do. The MLB minimum salary in 2024 stood at 740 thousand U.S. dollars annually, representing a steady increase each year over the last 15 years. Money to be made in the MLB MLB players are known to receive generous yearly salaries, in addition to performance incentives, such as prizes for games won. The average player salary in 2024 was over six times higher than the minimum salary, at around five million U.S. dollars. This also represents almost double the average player salary from 2005, illustrating the rapid boom of money in baseball. MLB's biggest earners Certain positions in the MLB, such as first base or starting pitcher, are usually better paid due to the important roles they are considered to have in the game. The highest paid players in the MLB in the 2023 season include Los Angeles Dodgers pitcher Shohei Ohtani and Texas Rangers pitcher Max Scherzer. In 2024, the New York Mets were the best-paid baseball team in the MLB, with an opening day payroll of 305.62 million U.S. dollars. The Oakland Athletics, on the other hand, were the most thrifty franchise, with an opening day payroll of just over 60 million U.S. dollars.

In the 2025 season, the Major League Baseball team with the higher total regular season home attendance was the Los Angeles Dodgers. That year, the Dodgers recorded a total attendance of **** million. Meanwhile, the San Diego Padres drew the second-largest aggregate crowds, totaling **** million.