A Statistical Analysis of Team Defense and Performance in the National Hockey League

Authors : Andy W. Chen

Pages : 235-244

View : 14 | Download : 11

Publication Date : 2018-06-22

Article Type : Research

Abstract :In this paper, I explore the relationship between goalkeeper and team performance in professional hockey using statistical models. The model is evaluated by checking for outliers and major assumptions of the ordinary least squares regression model. I find a negative relationship between goals allowed per game and total team points per season. In particular, I find that the intercept of the model to be 184.0 and coefficient for average goals allowed per game to be -33.819. This means that when goals allowed per game increases by 0.1, the total points for a team in a season will decrease by 3.38. The assumptions of the linear regression model are satisfied. 
Keywords : Hockey, Sports Analytics, Statistics, Linear Regression, Ordinary Least Squares