Study evaluates success of statistical analyses in determining the player with the golden glove
WASHINGTON — Baseball fans know who has the golden glove, but assigning a number to a player’s defensive merits has been tricky. A recent analysis suggests new sophisticated statistical methods could offer a fuller picture for sports nuts, Benjamin Baumer reported August 5 at the Joint Statistical Meetings.
Traditionally, fielding ability has been calculated by dividing a player’s number of errors by the total number of chances the player had to make a play, and subtracting that number from one. (Errors are mistakes that would have been avoided with “ordinary effort” — an arguably subjective call.) But this long-used formula doesn’t give credit to a fielder with range, who can successfully run down a ball out of reach for most players.
Two proposed methods get around this problem, said Baumer, a statistician for the New York Mets and a doctoral student at the City University of New York. The first, called a discrete model,