NDLI: Batted ball spray charts: a system to determine infield shifting

Content Provider	IEEE Xplore Digital Library
Author	Lewis, M. Bailey, R.
Copyright Year	2015
Description	Author affiliation: Univ. of Virginia, Charlottesville, VA, USA (Lewis, M.; Bailey, R.)
Abstract	To gain a competitive advantage, the Tampa Bay Rays Baseball Club uses data to inform a range of decisions. This project focuses on forecasting batted ball trajectories across the infield using historical data, by outputting a likelihood probability for nine different infield zones. The paper details the development of a model that can predict where a baseball is likely to land based on a number of variables, most importantly the particular batter and pitcher. Using historical batted ball data, the back-end algorithm was developed using mixed effect models. Due to the proprietary nature of the algorithms, most of the paper will focus on the front-end design and human factors testing of the system. The fully functional user interface provides batted ball spray charts of the infield for batter pitcher combinations. Rays personnel will quickly be able to view the predicted probability for each section of the infield. Based on a set of requirements developed by interviewing Rays personnel, the system was tested with multiple groups of users to determine information extraction rates and ease of use. The test results for different versions of the decision tool helped drive the final application. The Rays intend to use this system for the 2015 MLB regular season to effectively position their infielders to convert more batted balls into outs and ultimately, win more baseball games.
Starting Page	206
Ending Page	211
File Size	1668648
Page Count	6
File Format	PDF
e-ISBN	9781479918324
DOI	10.1109/SIEDS.2015.7116975
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Data models Sports equipment Testing Personnel Games Organizations Batted ball spray charts Infield shifting Mixed effect models Baseball decision tool
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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