A comprehensive review of plus-minus ratings for evaluating individual players in team sports
Peer reviewed, Journal article
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Date
2019Metadata
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Original version
International Journal of Computer Science in Sport. 2019, 18 (1), 1-23.Abstract
The increasing availability of data from sports events has led to many new
directions of research, and sports analytics can play a role in making better
decisions both within a club and at the level of an individual player. The ability to
objectively evaluate individual players in team sports is one aspect that may enable
better decision making, but such evaluations are not straightforward to obtain. One
class of ratings for individual players in team sports, known as plus-minus ratings,
attempt to distribute credit for the performance of a team onto the players of that
team. Such ratings have a long history, going back at least to the 1950s, but in
recent years research on advanced versions of plus-minus ratings has increased
noticeably. This paper presents a comprehensive review of contributions to plusminus
ratings in later years, pointing out some key developments and showing the
richness of the mathematical models developed. One conclusion is that the
literature on plus-minus ratings is quite fragmented, but that awareness of past
contributions to the field should allow researchers to focus on some of the many
open research questions related to the evaluation of individual players in team
sports.
Keywords: rating system, ranking, regression, regularization