activity
20122024
most citedAdjusted Plus-Minus for NHL Players using Ridge Regression with Goals, Shots, Fenwick, and Corsi

46 citations · 57 across the 7 of their papers we have counts for

collaborators

7 papers

stat.AP2024

Estimating the age-conditioned average treatment effects curves: An application for assessing load-management strategies in the NBA

Shinpei Nakamura-Sakai, Laura Forastiere, Brian Macdonald

In the realm of competitive sports, understanding the performance dynamics of athletes, represented by the age curve (showing progression, peak, and decline), is vital. Our researc…

stat.ME2021

What does not get observed can be used to make age curves stronger: estimating player age curves using regression and imputation

Michael Schuckers, Michael Lopez, Brian Macdonald

The impact of player age on performance has received attention across sport. Most research has focused on the performance of players at each age, ignoring the reality that age like…

stat.AP2014★ 6 cited

Accounting for Rink Effects in the National Hockey League's Real Time Scoring System

Michael Schuckers, Brian Macdonald

Recording of events in National Hockey League rinks is done through the Real Time Scoring System. This system records events such as hits, shots, faceoffs, etc., as part of the pla…

stat.AP2013

Quantifying playmaking ability in hockey

Brian Macdonald, Christopher Weld, David C. Arney

It is often said that a sign of a great player is that he makes the players around him better. The player may or may not score much himself, but his teammates perform better when h…

stat.AP2013

Realignment in the NHL, MLB, the NFL, and the NBA

Brian Macdonald, William Pulleyblank

Sports leagues consist of conferences subdivided into divisions. Teams play a number of games within their divisions and fewer games against teams in different divisions and confer…

stat.AP2012★ 5 cited

Evaluating NHL Goalies, Skaters, and Teams Using Weighted Shots

Brian Macdonald, Craig Lennon, Rodney Sturdivant

In this paper, we develop a logistic regression model to estimate the probability that a particular shot in an NHL game will result in a goal, and use the results to evaluate the p…

stat.AP2012★ 46 cited

Adjusted Plus-Minus for NHL Players using Ridge Regression with Goals, Shots, Fenwick, and Corsi

Brian Macdonald

Regression-based adjusted plus-minus statistics were developed in basketball and have recently come to hockey. The purpose of these statistics is to provide an estimate of each pla…