Using the Count to Measure Pitching Performance

Albert Jim
Additional contact information
Albert Jim: Bowling Green State University

Journal of Quantitative Analysis in Sports, 2010, vol. 6, issue 4, 30

Abstract: An important aspect of pitching is the progression through the count of balls and strikes. Using data from the Pitch F/X database, we examine pitch-by-pitch data for twenty starting pitchers of "elite" and "non-elite" types. We see that the current count has a significant effect on the quality of the batting event. Elite pitchers are more likely to move from two-strike counts to strikeouts, and these pitchers are more likely to take advantage of eventual value of the plate appearance for particular counts. We examine how the pitch value of fastballs depends on the location of the pitch in the strike zone. A better understanding of count tendencies should lead to better measures of pitching performance.

Keywords: exchangeable; pitching (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://doi.org/10.2202/1559-0410.1279 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jqsprt:v:6:y:2010:i:4:n:8

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html

DOI: 10.2202/1559-0410.1279

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
Bibliographic data for series maintained by Peter Golla ().