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 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.

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 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.

All data comes from publicly available datasets compiled into one.

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Comparative Analysis of MLB Players wOBA Statistics

Analyzing Skillsets in The Old Ballgame

By Devi Ramanan [source]

About this dataset

This dataset features a comprehensive look into the performance of 311 professional Major League Baseball players. It comprises key batting statistics including name, team, age, plate appearances (PA), batting average (AVG), on-base plus slugging percentage - average (OBP-AVG), isolated power (ISO), stolen bases (SB), and ultimate zone rating per 150 games (UZR/150). Additionally, the dataset contains more detailed and complex metrics for each player such as weighted values for singles (1Bw), doubles (2Bw), triples(3Bw), home runs(HRw) unintentional walks(uBBw), hit by pitches(HBPw) ,stolen bases attempted/successful(SBW/CSW) and weighted On-Base Average(WOBA). All these data points create an effective way to measure the offensive performance that is both insightful and objective. Jeff Long's Spira Award winning article analyzed this very same data to compare MLB players who have similar skillsets than would otherwise be expected

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How to use the dataset

This dataset can be used to analyse the wOBA stats of MLB players with at least 250 plate appearances (PA). This dataset has data on 31 baseball players. The data includes the player's name, their team, age, PA, batting average (AVG), on-base percentage minus batting average (OBP-AVG), isolated power (ISO), stolen bases (SB), Ultimate Zone Rating per 150 games (UZR/150), weighted value of singles(1Bw) , weighted value of doubles(2Bw) , weighted value of triples(3Bw) , weighted value of home runs(HRw) ,weighted value of unintentional walks(uBBw) ,weighted value of hit by pitches(HBPw )and stolen base attempt success rate (CSW). By using this dataset you can compare different MLB Players' stats in the same year.

Research Ideas

• Analyzing and predicting batting performance. With this dataset, researchers could create models to observe correlations between batting metrics such as strikeouts, walks, home runs, stolen bases etc and overall wOBA scores for the players. This could be used to generate insights into the most important batting factors that contribute the greatest benefit for a team's success.
• Comparing players from different teams in terms of their batting performance. By comparing two players with similar stats (for example two offensive power hitters) across different teams it would be possible to analyze whether certain teams consistently have better offensive players or if they just have higher quantity in particular positions of play.
• Creating a predictive model for MLB draft prospects or free agents signing potentials based on their stats and previous yearly changes in OBP-AVG or UZR/150 score could provide meaningful insight into which emerging talents are likely to see substantial improvement in their career trajectory over time when compared with aging stars who may gradually decline over time due to age related attrition factors such as injury and fatigue amongst others

Acknowledgements

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

License

Unknown License - Please check the dataset description for more information.

Columns

File: Batting Key Stats2.csv | Column name | Description | |:--------------|:--------------------------------------------------| | Name | Name of the player. (String) | | Team | Team the player is on. (String) | | Age | Age of the player. (Integer) | | PA | Plate Appearances. (Integer) | | AVG | Batting Average. (Float) | | OBP-AVG | On-Base Percentage minus Batting Average. (Float) | | ISO | Isolated Power. (Float) | | SB | Stolen Bases. (Integer) | | UZR/150 | Ultimate Zone Rating per 150 games. (Float) |

File: 2014 wOBA Stats 3.csv | Column name | Description | |:--------------|:-----------------------------------------------| | Name | Name of the player. (String) | | Team | Team the player is on. (String) | | PA | Plate Appearances. (Integer) | | 1Bw | Weighted value of singles. (Float) | | 2Bw | Weighted value of doubles. (Float)...

A January 2024 survey in the United States revealed that over one quarter of MLB fans who attended or watched games were aged between 50 and 64. Meanwhile, just over four percent of NHL fans were aged between 13 and 17.

Dataset

This dataset was created by Omar Pelcastre

Contents

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, the share of players coming from a minority background stood at 40.5 percent.

Dataset

This dataset was created by Omar Pelcastre

Contents

Financial overview and grant giving statistics of Major League Baseball Players Assn

Basic statistics for the MLB and NBA Twitter networks using mathematica.

Financial overview and grant giving statistics of Major League Baseball Youth Foundation

A January 2024 survey in the United States revealed that around 61.3 percent of MLB fans who attended or watched games were male. Meanwhile, close to 39 percent of MLB fans were female.

Annual sponsorship revenue for Major League Baseball teams amounted to 1.5 billion U.S. dollars in 2023. This marked an increase of more than 23 percent on the previous year's figure.

Context

The top ranked 144 hitters in MLB during 2017's regular season.

Content

The data for each player includes:
Team - MLB Team Pos - Field Position G - Games Played AB - At Bats R - Runs Scored H - Hits 2B - Doubles 3B - Triples HR - Home Runs RBI _ Runs Batted In BB - Walks SO - Strike Outs SB - Stolen Bases CS - Times picked off while trying to steal AVG - Batting Average (hits/At Bats) OBP - On Base Percentage (H+BB+HBP)/(AB+BB+HBP+SF) SLG - Slugging Percentage (TB/AB) Total bases divided by at bats
OPS - On base percentage plus slugging (OBP + SLG)

Acknowledgements

Major League Baseball makes a lot of statistics available for you at: http://mlb.mlb.com/stats

Inspiration

This is just a fun data set to play with for nebies. Inspired by the fun of Baseball.

There were a total of 949 players on opening day rosters of Major League Baseball teams ahead of the 2024 season. Of these players, almost 28 percent were from countries and territories outside the United States, with the Dominican Republic being the most represented nation.

Recent baseball scholarship has drawn attention to U.S. professional baseball’s complex twentieth century labor dynamics and expanding global presence. From debates around desegregation to discussions about the sport’s increasingly multicultural identity and global presence, the cultural politics of U.S. professional baseball is connected to the problem of baseball labor. However, most scholars address these topics by focusing on Major League Baseball (MLB), ignoring other teams and leagues—Minor League Baseball (MiLB)—that develop players for Major League teams. Considering Minor League Baseball is critical to understanding the professional game in the United States, since players who populate Major League rosters constitute a fraction of U.S. professional baseball’s entire labor force. As a digital humanities dissertation on baseball labor and globalization, this project uses digital humanities approaches and tools to analyze and visualize a quantitative data set, exploring how Minor League Baseball relates to and complicates MLB-dominated narratives around globalization and diversity in U.S. professional baseball labor. This project addresses how MiLB demographics and global dimensions shifted over time, as well as how the timeline and movement of foreign-born players through the Minor Leagues differs from their U.S.-born counterparts. This project emphasizes the centrality and necessity of including MiLB data in studies of baseball’s labor and ideological significance or cultural meaning, making that argument by drawing on data analysis, visualization, and mapping to address how MiLB labor complicates or supplements existing understandings of the relationship between U.S. professional baseball’s global reach and “national pastime” claims.