Matching Items (32)

History of ASU: a panel discussion

Description

Panel Discussion by J. Russell Nelson, Frank Sackton and Brent Brown on the history of ASU during the presidency of Russell Nelson, 1981 -- 1989. Recorded in February 2006. It

Panel Discussion by J. Russell Nelson, Frank Sackton and Brent Brown on the history of ASU during the presidency of Russell Nelson, 1981 -- 1989. Recorded in February 2006. It was a wide ranging discussion including the birth of West Campus, the coming of the Cardinal football team, handling NCAA violations including protecting Jim Brock, moving the research agenda forward toward a Research 1 University

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Date Created
  • 2006-02-26

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Modeling Fantasy Baseball Player Popularity Using Twitter Activity

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

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.

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Created

Date Created
  • 2017-05

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MLB Team Relocation to Charlotte, NC- A Marketing Proposal

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Entering into my final year of W. P. Carey, I decided I wanted my thesis to combine what I've learned over the course of my undergraduate Marketing degree with my

Entering into my final year of W. P. Carey, I decided I wanted my thesis to combine what I've learned over the course of my undergraduate Marketing degree with my passion for baseball. Furthermore, I wanted my thesis to contain both a research element and creative application. I felt the best way to achieve the integration of these goals was to research and then select an MLB team to relocate to a more attractive American market. After performing research to determine an ideal team and city for relocation, I created a comprehensive marketing strategy to best cater this team for its new market. The first half of my thesis focuses entirely on the research required to select an optimal team and attractive market for relocation. I begin my thesis by performing an external analysis of the current MLB landscape. To elaborate, I gathered W-L records and fan attendance records for all 30 MLB teams between 2000 and 2016. I also collected the most recent team revenues and valuations before putting all of this data in Excel to create visual graphs. Using this data, I determine a list of the top 4 most attractive teams for relocation based on consistently poor performance in the metrics I collected data on. After selecting the Tampa Bay Rays as the ideal team to relocate, I then dive deeper into the organization through an internal analysis. Then, I focus on performing an external analysis of the most attractive markets for relocation before ultimately selecting Charlotte, NC as the best city. My research ends with a comprehensive external analysis of the Charlotte, NC market to help in creating a brand that caters to the makeup and culture of the distinct city. My analysis of Charlotte focuses on the city's demographics, population growth, local economy, political environment and trends that could impact target market segments. After performing extensive research on identifying the best team and city for a relocation, I switch gears to developing a comprehensive marketing strategy to best help the team achieve success in its new market. This begins with creating a unifying segmentation, targeting, and positioning strategy to outline the direction the team will take. These strategies place tremendous emphasis on the need for the Charlotte team to create an "irresistible cultural experience" that expands the traditional MLB mold to attract young Millennial fans to games that normally wouldn't be interested in attending games. Next, I begin by developing key elements of the brand including the team name, logos, uniforms, sponsors, and stadium. With the stadium, I even go as far as determining an ideal location along with unique features, such as lawn seating and even local vendors that have appeared on Food Network to add to the cultural experience of the brand. Then, I focus on a unifying initial marketing campaign through TV/print ads, radio ads, social media, and public relations to help the team seamlessly transition into its new home. My thesis ends with recommendations for future steps to take to ensure the relocated organization achieves lasting success in its new city.

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Created

Date Created
  • 2016-12

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Analytics of the Prospect Draft in Major League Baseball

Description

Our research encompassed the prospect draft in baseball and looked at what type of player teams drafted to maximize value. We wanted to know which position returned the best value

Our research encompassed the prospect draft in baseball and looked at what type of player teams drafted to maximize value. We wanted to know which position returned the best value to the team that drafted them, and which level is safer to draft players from, college or high school. We decided to look at draft data from 2006-2010 for the first ten rounds of players selected. Because there is only a monetary cap on players drafted in the first ten rounds we restricted our data to these players. Once we set up the parameters we compiled a spreadsheet of these players with both their signing bonuses and their wins above replacement (WAR). This allowed us to see how much a team was spending per win at the major league level. After the data was compiled we made pivot tables and graphs to visually represent our data and better understand the numbers. We found that the worst position that MLB teams could draft would be high school second baseman. They returned the lowest WAR of any player that we looked at. In general though high school players were more costly to sign and had lower WARs than their college counterparts making them, on average, a worse pick value wise. The best position you could pick was college shortstops. They had the trifecta of the best signability of all players, along with one of the highest WARs and lowest signing bonuses. These were three of the main factors that you want with your draft pick and they ranked near the top in all three categories. This research can help give guidelines to Major League teams as they go to select players in the draft. While there are always going to be exceptions to trends, by following the enclosed research teams can minimize risk in the draft.

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Created

Date Created
  • 2017-05

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Valued Plate Appearance Index: Solving for the Contextual Error in Amateur Baseball Statistics

Description

Over the past several decades, analytics have become more and more prevalent in the game of baseball. Statistics are used in nearly every facet of the game. Each team develops

Over the past several decades, analytics have become more and more prevalent in the game of baseball. Statistics are used in nearly every facet of the game. Each team develops its own processes, hoping to gain a competitive advantage over the rest of the league. One area of the game that has struggled to produce definitive analytics is amateur scouting. This project seeks to resolve this problem through the creation of a new statistic, Valued Plate Appearance Index (VPI). The problem is identified through analysis that was performed to determine whether any correlation exists between performances at the country's top amateur baseball league, the Cape Cod League, and performances in Major League Baseball. After several stats were analyzed, almost no correlation was determined between the two. This essentially means that teams have no way to statistically analyze Cape Cod League performance and project future statistics. An inherent contextual error in these amateur statistics prevents them from correlating. The project seeks to close that contextual gap and create concrete, encompassing values to illustrate a player's offensive performance in the Cape League. To solve for this problem, data was collected from the 2017 CCBL season. In addition to VPI, Valued Plate Appearance Approach (VPA) and Valued Plate Appearance Result (VPR) were created to better depict a player's all-around performance in each plate appearance. VPA values the quality of a player's approach in each plate appearance. VPR values the quality of the contact result, excluding factors out of the hitter's control. This statistic isolates player performance as well as eliminates luck that cannot normally be taken into account. This paper results in the segmentation of players from the 2017 CCBL into four different groups, which project how they will perform as they transition into professional baseball. These groups and the creation of these statistics could be essential tools in the evaluation and projection of amateur players by Major League clubs for years to come.

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Date Created
  • 2017-12

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Rebranding the Arizona Fall League: A Social Approach

Description

The Arizona Fall League is a baseball league affiliated with Major League Baseball to provide further development to seven of each MLB team’s top minor league prospects. The games are

The Arizona Fall League is a baseball league affiliated with Major League Baseball to provide further development to seven of each MLB team’s top minor league prospects. The games are played at the same stadiums as spring training in Arizona but historically draw a very low attendance in comparison. The marketing strategies currently used to promote and advertise the Arizona Fall League are not sufficient to meet the goal of increased attendance and increased profits as a result. The league currently markets its core product to the customer, meaning the actual baseball game itself along with the highly talented players, rather than the actual product provided to fans, meaning the social utility they gain from their experiences at an Arizona Fall League game along with the game. The league needs to focus mainly on two target markets: men and women ages 18-25 and families with children under 18. In order to shift the focus to the actual product, the league’s marketing staff should run promotions (alongside their current promotions) in association with local sports bars or restaurants and places that provide entertainment, such as Top Golf. They also should revamp their social media accounts to integrate a more fan-focused base for their posts, making fans feel like they are a greater part of the experience. These improvements would drive up attendance and generate more profits for the Arizona Fall League.

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Date Created
  • 2020-05

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Panic at the Elbow: High school baseball's Tommy John surgery epidemic

Description

Panic 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

Panic 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

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Created

Date Created
  • 2016-05

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Finding Major League Value: A Study of the 2004-2008 MLB Amateur Drafts

Description

The ability to draft and develop productive Major League players is vital to the success of any MLB organization. A core of cost-controlled, productive players is as important as ever

The ability to draft and develop productive Major League players is vital to the success of any MLB organization. A core of cost-controlled, productive players is as important as ever with free agent salaries continuing to rise dramatically. In a sport where mere percentage points separate winners from losers at the end of a long season, any slight advantage in identifying talent is valuable. This study examines the 2004-2008 MLB Amateur Drafts in order to analyze whether certain types of prospects are more valuable selections than others. If organizations can better identify which draft prospects will more likely contribute at the Major League level in the future, they can more optimally spend their allotted signing bonus pool in order to acquire as much potential production as possible through the draft. Based on the data examined, during these five drafts high school prospects provided higher value than college prospects. While college players reached the Majors at a higher rate, high school players produced greater value in their first six seasons of service time. In the all-important first round of the draft, where signing bonuses are at their largest, college players proved the more valuable selection. When players were separated by position, position players held greater expected value than pitchers, with corner infielders leading the way as the position group with the highest expected value. College players were found to provide better value than high school players at defensively demanding positions such as catcher and middle infield, while high school players were more valuable among outfielders and pitchers.

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Date Created
  • 2016-05

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Sports and Sustainability: Spring Training Baseball

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This thesis, done in a capstone course through the Arizona State University School of Sustainability, examines the current state of sustainability-related processes at all of Major League Baseball's Cactus League

This thesis, done in a capstone course through the Arizona State University School of Sustainability, examines the current state of sustainability-related processes at all of Major League Baseball's Cactus League sites, with a focus on Salt River Fields. Through this close examination, a final report created of our findings and suggestions were presented to executives from Major League Baseball and the two occupants of Salt River Fields: the Arizona Diamondbacks and the Colorado Rockies. The overall goal is to add value to Cactus League stadiums, clubs, and the fans while promoting sustainable initiatives and creating lasting change. With a team of 11 undergraduate and graduate students from ASU led by Colin Tetreault, research was conducted by examining similar efforts by major sports leagues and comparable organizations. Our team researched reports from organizations such as the National Hockey League to determine how we could implement our ideas on a large scale successfully. Determining that fan engagement is crucial to changing the culture and implementation of sustainability, we also researched ways to interact with fans on social media and cooperated with the social media teams from the Arizona Diamondbacks and the Colorado Rockies. Additionally, we visited every stadium in the Cactus League and met with representatives from each team to determine what sort of processes they have in place, if they have any suggestions or thoughts for our efforts, and we gave each of them advice as consultants. At each site, we also interviewed vendors, cleaning crews, and fans for more information. At Salt River Fields, we engaged the guest service attendants, social media team, vendors, the Jani King custodial team, and staff involved with operations for information and to suggest changes. We started a new initiative in cooperation with these entities known as the "Recycle Rally" where we engaged with fans about recycling information and collected their recyclables. Additionally, we surveyed fans on their personal views on sustainability at each game we attended. We also conducted two waste audits at Salt River Fields, where we examined a large sample size of waste, sorted all of it into categories, and weighed it on a scale to determine how much of each category of waste there was. This data was later plotted and analyzed.

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Date Created
  • 2018-05

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Predicting Outcome of a Pitch Given the Type of Pitch for any Baseball Scenario

Description

This thesis serves as a baseline for the potential for prediction through machine learning (ML) in baseball. Hopefully, it also will serve as motivation for future work to expand and

This thesis serves as a baseline for the potential for prediction through machine learning (ML) in baseball. Hopefully, it also will serve as motivation for future work to expand and reach the potential of sabermetrics, advanced Statcast data and machine learning. The problem this thesis attempts to solve is predicting the outcome of a pitch. Given proper pitch data and situational data, is it possible to predict the result or outcome of a pitch? The result or outcome refers to the specific outcome of a pitch, beyond ball or strike, but if the hitter puts the ball in play for a double, this thesis shows how I attempted to predict that type of outcome. Before diving into my methods, I take a deep look into sabermetrics, advanced statistics and the history of the two in Major League Baseball. After this, I describe my implemented machine learning experiment. First, I found a dataset that is suitable for training a pitch prediction model, I then analyzed the features and used some feature engineering to select a set of 16 features, and finally, I trained and tested a pair of ML models on the data. I used a decision tree classifier and random forest classifier to test the data. I attempted to us a long short-term memory to improve my score, but came up short. Each classifier performed at around 60% accuracy. I also experimented using a neural network approach with a long short-term memory (LSTM) model, but this approach requires more feature engineering to beat the simpler classifiers. In this thesis, I show examples of five hitters that I test the models on and the accuracy for each hitter. This work shows promise that advanced classification models (likely requiring more feature engineering) can provide even better prediction outcomes, perhaps with 70% accuracy or higher! There is much potential for future work and to improve on this thesis, mainly through the proper construction of a neural network, more in-depth feature analysis/selection/extraction, and data visualization.

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Date Created
  • 2020-05