Matching Items (7)
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- All Subjects: Baseball
- Creators: Kurland, Brett
Description
Social media is used by people every day to discuss the nuances of their lives. Major League Baseball (MLB) is a popular sport in the United States, and as such has generated a great deal of activity on Twitter. As fantasy baseball continues to grow in popularity, so does the research into better algorithms for picking players. Most of the research done in this area focuses on improving the prediction of a player's individual performance. However, the crowd-sourcing power afforded by social media may enable more informed predictions about players' performances. Players are chosen by popularity and personal preferences by most amateur gamblers. While some of these trends (particularly the long-term ones) are captured by ranking systems, this research was focused on predicting the daily spikes in popularity (and therefore price or draft order) by comparing the number of mentions that the player received on Twitter compared to their previous mentions. In doing so, it was demonstrated that improved fantasy baseball predictions can be made through leveraging social media data.
ContributorsRuskin, Lewis John (Author) / Liu, Huan (Thesis director) / Montgomery, Douglas (Committee member) / Morstatter, Fred (Committee member) / Industrial, Systems (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
DescriptionPanic at the Elbow: High School Baseball's Tommy John Surgery Epidemic reflects on the history of Tommy John surgery, examines the scale of the current epidemic, explores its underlying causes and ultimately recommends steps that parents and players can take to avoid such overuse injuries. Link to documentary: https://www.youtube.com/watch?v=31xvOCN_tqk
ContributorsMargiott, Benjamin James (Author) / Kurland, Brett (Thesis director) / Byck, Peter (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Each year, a select few minor league baseball players are chosen to attend the Arizona Fall League, a development league within Major League Baseball that hones the next generation of players, coaches, managers, and even umpires. These players make up the top talent currently in the minor leagues from each of Major League Baseball's 30 organizations. Of the thousands in the minors, just seven players from each organization can go to this extra six-week season, and learn to play alongside the best future talent the sport has to offer. On Deck: Inside the Arizona Fall League is a short documentary that looks at some of these players, as they continue their baseball journey that they hope leads them one day to the Majors. The documentary can be viewed online at https://youtu.be/jkggYiDtn14 or nicolesheraefox.com
ContributorsFox, Nicole Sherae (Author) / Lodato, Mark (Thesis director) / Kurland, Brett (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
While former New York Yankees pitcher Goose Gossage unleashed his tirade on the deterioration of the unwritten rules of baseball and nerds ruining the sport about halfway through my writing of the paper, sentiments like his were inspiration for my topic: the evolution of statistics and data in baseball. By telling the story of how baseball data and statistics have evolved, my goal was to also demonstrate how they have been intertwined since the beginning—which would essentially mean that nerds have always been ruining the sport (if you subscribe to that kind of thought).
In the quest to showcase this, it was necessary to document how baseball prospers from numbers and numbers prosper from baseball. The relationship between the two is mutualistic. Furthermore, an all-encompassing historical look at how data and statistics in baseball have matured was a critical portion of the paper. With a metric such as batting average going from a radical new measure that posed a threat to the status quo, to a fiercely cherished statistic that was suddenly being unseated by advanced analytics, it shows the creation of new and destruction of old has been incessant. Innovators like Pete Palmer, Dick Cramer and Bill James played a large role in this process in the 1980s. Computers aided their effort and when paired with the Internet, unleashed the ability to crunch data to an even larger sector of the population. The unveiling of Statcast at the commencement of the 2015 season showed just how much potential there is for measuring previously unquantifiable baseball acts.
Essentially, there will always be people who mourn the presence of data and statistics in baseball. Despite this, the evolution story indicates baseball and numbers will be intertwined into the future, likely to an even greater extent than ever before, as technology and new philosophies become increasingly integrated into front offices and clubhouses.
In the quest to showcase this, it was necessary to document how baseball prospers from numbers and numbers prosper from baseball. The relationship between the two is mutualistic. Furthermore, an all-encompassing historical look at how data and statistics in baseball have matured was a critical portion of the paper. With a metric such as batting average going from a radical new measure that posed a threat to the status quo, to a fiercely cherished statistic that was suddenly being unseated by advanced analytics, it shows the creation of new and destruction of old has been incessant. Innovators like Pete Palmer, Dick Cramer and Bill James played a large role in this process in the 1980s. Computers aided their effort and when paired with the Internet, unleashed the ability to crunch data to an even larger sector of the population. The unveiling of Statcast at the commencement of the 2015 season showed just how much potential there is for measuring previously unquantifiable baseball acts.
Essentially, there will always be people who mourn the presence of data and statistics in baseball. Despite this, the evolution story indicates baseball and numbers will be intertwined into the future, likely to an even greater extent than ever before, as technology and new philosophies become increasingly integrated into front offices and clubhouses.
ContributorsGarcia, Jacob Michael (Author) / Kurland, Brett (Thesis director) / Doig, Stephen (Committee member) / Jackson, Victoria (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This thesis documentary film takes a look at the dysfunctional but ongoing relationship between Twitter and sports journalism. The foundation of this relationship's dysfunction is what I have coined as the Twitter Outrage Cycle. In this cycle a sports broadcasting personality comments on a matter while on-air. Next, the program's audience where the comments were spoken becomes offended by the statement. After that, the offended audience members express their outrage on social media, most namely Twitter. Finally the cycle culminates with the public outrage pressuring networks and its executives to either suspended or fire the individual that said the controversial statements. This cycle began to occur on a more consistent basis starting in 2012. It became such a regular occurrence that many on-air talent figures have noticed and taken precautionary measures to either avoid or confront the Outrage Cycles. This documentary uses the voice of seven figures within the sports media and online interaction forum. Notable using the voices of three notable individuals that currently have a prominent voice in sports journalism. As well as a neutral social media curator who clearly explains the psyche behind these outraged viewer's mindsets. Through these four main voices their ideals and opinions on the matter weave together, disagree with each other at times but ultimately help the viewer come to an understanding of why these Outrage Cycles occur and what needs to be done in order for them to cease. We Should Talk: The Relationship Between Twitter and Sports Journalism is a documentary film that looks to illustrate a seemingly minimal part of many people's lives that when taken into perspective many people look at in a very serious light.
ContributorsNeely, Cammeron Allen Douglas (Author) / Kurland, Brett (Thesis director) / Fergus, Tom (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The widespread use of statistical analysis in sports-particularly Baseball- has made it increasingly necessary for small and mid-market teams to find ways to maintain their analytical advantages over large market clubs. In baseball, an opportunity for exists for teams with limited financial resources to sign players under team control to long-term contracts before other teams can bid for their services in free agency. If small and mid-market clubs can successfully identify talented players early, clubs can save money, achieve cost certainty and remain competitive for longer periods of time. These deals are also advantageous to players since they receive job security and greater financial dividends earlier in their career. The objective of this paper is to develop a regression-based predictive model that teams can use to forecast the performance of young baseball players with limited Major League experience. There were several tasks conducted to achieve this goal: (1) Data was obtained from Major League Baseball and Lahman's Baseball Database and sorted using Excel macros for easier analysis. (2) Players were separated into three positional groups depending on similar fielding requirements and offensive profiles: Group I was comprised of first and third basemen, Group II contains second basemen, shortstops, and center fielders and Group III contains left and right fielders. (3) Based on the context of baseball and the nature of offensive performance metrics, only players who achieve greater than 200 plate appearances within the first two years of their major league debut are included in this analysis. (4) The statistical software package JMP was used to create regression models of each group and analyze the residuals for any irregularities or normality violations. Once the models were developed, slight adjustments were made to improve the accuracy of the forecasts and identify opportunities for future work. It was discovered that Group I and Group III were the easiest player groupings to forecast while Group II required several attempts to improve the model.
ContributorsJack, Nathan Scott (Author) / Shunk, Dan (Thesis director) / Montgomery, Douglas (Committee member) / Borror, Connie (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2013-05
Description
In recent years, advanced metrics have dominated the game of Major League Baseball. One such metric, the Pythagorean Win-Loss Formula, is commonly used by fans, reporters, analysts and teams alike to use a team’s runs scored and runs allowed to estimate their expected winning percentage. However, this method is not perfect, and shows notable room for improvement. One such area that could be improved is its ability to be affected drastically by a single blowout game, a game in which one team significantly outscores their opponent.<br/>We hypothesize that meaningless runs scored in blowouts are harming the predictive power of Pythagorean Win-Loss and similar win expectancy statistics such as the Linear Formula for Baseball and BaseRuns. We developed a win probability-based cutoff approach that tallied the score of each game once a certain win probability threshold was passed, effectively removing those meaningless runs from a team’s season-long runs scored and runs allowed totals. These truncated totals were then inserted into the Pythagorean Win-Loss and Linear Formulas and tested against the base models.<br/>The preliminary results show that, while certain runs are more meaningful than others depending on the situation in which they are scored, the base models more accurately predicted future record than our truncated versions. For now, there is not enough evidence to either confirm or reject our hypothesis. In this paper, we suggest several potential improvement strategies for the results.<br/>At the end, we address how these results speak to the importance of responsibility and restraint when using advanced statistics within reporting.
ContributorsIversen, Joshua Allen (Author) / Satpathy, Asish (Thesis director) / Kurland, Brett (Committee member) / Department of Information Systems (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05