東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

MLB© Roster Construction Optimization Based on Positional Significance to Overall Team Performance.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	MLB© Roster Construction Optimization Based on Positional Significance to Overall Team Performance./
作者:	Schroeder, Christopher W.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	84 p.
附註:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
標題:	Information technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28644980
ISBN:	9798534651317

MLB© Roster Construction Optimization Based on Positional Significance to Overall Team Performance.
Schroeder, Christopher W.

MLB© Roster Construction Optimization Based on Positional Significance to Overall Team Performance. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 84 p.

Source: Masters Abstracts International, Volume: 83-02.

Thesis (M.S.)--The College of St. Scholastica, 2021.

This item must not be sold to any third party vendors.

Major League Baseball (MLB) has a competitive imbalance among teams, which has been compounded by free agency. Free agency is an auction model not designed for equal participation among teams, as free agents are averse to entering the market if the teams determined to be the highest bidders are viewed as less desirable franchises. While mitigation methods are in place, continued failure led franchises to seek alternate analytically driven methods. The success of Moneyball in the early 2000s led to an expansion of sabermetrics and further in-depth statistics such as WAR. WAR is the pre-eminent sabermetric and has proven to be an excellent indicator and predictor of both player and team performance. Focused on WAR, handedness, sentiment analysis, and park factors, this research project answered: Does roster construction optimization measurably increase a franchise's likelihood of participating in the MLB post-season? Six cleaned datasets, ranging in size from 31 to 51,665 rows, were deployed via summary statistics, sentiment analysis, park factors, logistic regression, and machine learning. Completion of the research methods showed that right-handed starting and relief pitchers, right-handed shortstops and center fielders, and left-handed third basemen in the American League, and right-handed starting and relief pitchers, right-handed left fielders and center fielders, and left-handed right fielders in the National League, represent the highest contributing position groups and most immediate optimization opportunities. For MLB, increased competitive balance is a positive result, as it results in greater revenue sharing across all sources, as well as increased league interest.

ISBN: 9798534651317Subjects--Topical Terms:

532993
Information technology.
Subjects--Index Terms:

Baseball

MLB© Roster Construction Optimization Based on Positional Significance to Overall Team Performance.
LDR:03066nmm a2200457 4500 001 2351910
005 20221111113711.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798534651317
035 $a (MiAaPQ)AAI28644980
035 $a AAI28644980
040 $a MiAaPQ $c MiAaPQ
100 1 $a Schroeder, Christopher W. $3 3691501
245 1 0 $a MLB© Roster Construction Optimization Based on Positional Significance to Overall Team Performance.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 84 p.
500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Olson, Brandon.
502 $a Thesis (M.S.)--The College of St. Scholastica, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Major League Baseball (MLB) has a competitive imbalance among teams, which has been compounded by free agency. Free agency is an auction model not designed for equal participation among teams, as free agents are averse to entering the market if the teams determined to be the highest bidders are viewed as less desirable franchises. While mitigation methods are in place, continued failure led franchises to seek alternate analytically driven methods. The success of Moneyball in the early 2000s led to an expansion of sabermetrics and further in-depth statistics such as WAR. WAR is the pre-eminent sabermetric and has proven to be an excellent indicator and predictor of both player and team performance. Focused on WAR, handedness, sentiment analysis, and park factors, this research project answered: Does roster construction optimization measurably increase a franchise's likelihood of participating in the MLB post-season? Six cleaned datasets, ranging in size from 31 to 51,665 rows, were deployed via summary statistics, sentiment analysis, park factors, logistic regression, and machine learning. Completion of the research methods showed that right-handed starting and relief pitchers, right-handed shortstops and center fielders, and left-handed third basemen in the American League, and right-handed starting and relief pitchers, right-handed left fielders and center fielders, and left-handed right fielders in the National League, represent the highest contributing position groups and most immediate optimization opportunities. For MLB, increased competitive balance is a positive result, as it results in greater revenue sharing across all sources, as well as increased league interest.
590 $a School code: 0614.
650 4 $a Information technology. $3 532993
650 4 $a Sports management. $3 3423935
650 4 $a Business administration. $3 3168311
650 4 $a Statistics. $3 517247
650 4 $a Athletic drafts & trades. $3 3691502
650 4 $a Datasets. $3 3541416
650 4 $a Free agency. $3 3691503
653 $a Baseball
653 $a Data analytics
653 $a Free agency
653 $a Major league baseball
653 $a Sabermetrics
653 $a Free agents
653 $a WAR
653 $a Sentiment analysis
653 $a Logistic regression
653 $a Machine learning
653 $a Wins Above Replacement
690 $a 0489
690 $a 0430
690 $a 0310
690 $a 0463
710 2 $a The College of St. Scholastica. $b Applied Data Analytics. $3 3689612
773 0 $t Masters Abstracts International $g 83-02.
790 $a 0614
791 $a M.S.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28644980