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Recording of events in National Hockey League rinks is done through the RealTime Scoring System. This system records events such as hits, shots, faceoffs,etc., as part of the play-by-play files that are made publicly available.Several previous studies have found that there are inconsistencies in therecording of these events from rink to rink. In this paper, we propose amethodology for estimation of the rink effects for each of the rinks in theNational Hockey League. Our aim is to build a model which accounts for therelative differences between rinks. We use log-linear regression to modelcounts of events per game with several predictors including team factors andaverage score differential. The estimated rink effects can be used to reweightrecorded events so that can have comparable counts of events across rinks.Applying our methodology to data from six regular seasons, we find that thereare some rinks with rink effects that are significant and consistent acrossthese seasons for multiple events.

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