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 play-byplay files that are made publicly available. Several previous studies have found that there are inconsistencies in the recording of these events from rink to rink. In this paper, we propose a methodology for estimation of the rink effects for each of the rinks in the National Hockey League. Our aim is to build a model which accounts for the relative differences between rinks. We use log-linear regression to model counts of events per game with several predictors including team factors and average score differential. The estimated rink effects can be used to reweight recorded events so that can have comparable counts of events across rinks. Applying our methodology to data from six regular seasons, we find that there are some rinks with rink effects that are significant and consistent across these seasons for multiple events.
REF develop a similar model to estimate the differences in the recording of a number of events across National Hockey League (NHL) rinks.
Accounting for Rink Effects in the National Hockey League's Real Time Scoring System
arXiv: Applications
Mathematics