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Forecasting Batter Performance Using...
~
Taylor, Nicholas Christopher.
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Forecasting Batter Performance Using Statcast Data in Major League Baseball.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Forecasting Batter Performance Using Statcast Data in Major League Baseball./
Author:
Taylor, Nicholas Christopher.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:
53 p.
Notes:
Source: Masters Abstracts International, Volume: 56-04.
Contained By:
Masters Abstracts International56-04(E).
Subject:
Statistics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10267892
ISBN:
9781369791181
Forecasting Batter Performance Using Statcast Data in Major League Baseball.
Taylor, Nicholas Christopher.
Forecasting Batter Performance Using Statcast Data in Major League Baseball.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 53 p.
Source: Masters Abstracts International, Volume: 56-04.
Thesis (M.S.)--North Dakota State University, 2017.
2015 saw the release of the Statcast camera system within Major League Baseball ballparks, which provided statisticians with new data to analyze. One statistic, average exit velocity, is of particular interest. We would like to see if a batter's average exit velocity can significantly explain the variation in his slugging percentage and batting average on balls in play (BABIP) when taken into account with other, more traditional baseball statistics. These two statistics are of particular interest within advanced baseball data analysis.
ISBN: 9781369791181Subjects--Topical Terms:
517247
Statistics.
Forecasting Batter Performance Using Statcast Data in Major League Baseball.
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2015 saw the release of the Statcast camera system within Major League Baseball ballparks, which provided statisticians with new data to analyze. One statistic, average exit velocity, is of particular interest. We would like to see if a batter's average exit velocity can significantly explain the variation in his slugging percentage and batting average on balls in play (BABIP) when taken into account with other, more traditional baseball statistics. These two statistics are of particular interest within advanced baseball data analysis.
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We found that a player's average exit velocity can significantly explain the variation in both his slugging percentage and his BABIP. We also discovered that the significance is stronger in explaining slugging percentage than in explaining BABIP.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10267892
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