An Exploratory Study of Minor League Baseball Statistics
Chandler Gabriel and
Additional contact information
Chandler Gabriel: Pomona College
Stevens Guy: Pomona College '13
Journal of Quantitative Analysis in Sports, 2012, vol. 8, issue 4, pages 1-28
We consider the problem of projecting future success of Minor League baseball players at each level of the farm system. Using tree based methods, in particular random forests, we consider which statistics are most correlated with Major League success, how Major League teams use these statistics differently in handling prospects, and how prior belief in a players ability, measured through draft position, is used throughout a players Minor League career. We show that roughly the 18th round prospect corresponds to being draft neutral for a team, whereas teams essentially make decisions based strictly on performance. We use for our data all position players drafted between 1999 and 2002.
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://www.degruyter.com/view/j/jqas.2012.8.issue- ... .1445.xml?format=INT (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:bpj:jqsprt:v:8:y:2012:i:4:n:4
Ordering information: This journal article can be ordered from
Access Statistics for this article
Journal of Quantitative Analysis in Sports is currently edited by Mark Glickman
More articles in Journal of Quantitative Analysis in Sports from De Gruyter
Series data maintained by Peter Golla ().