Publication Date

Spring 5-2023

School

College of Arts and Sciences

Major

Applied Mathematics and Statistics

Keywords

Hockey, Analytics, Microstatistics, Sports, Meta-metrics

Disciplines

Applied Statistics | Statistical Models

Abstract

As research into hockey analytics continues, an increasing number of metrics are being introduced into the knowledge base of the field, creating a need to determine whether various stats are useful or simply add noise to the discussion. This paper examines microstatistics – manually tracked metrics which go beyond the NHL’s publicly released stats – both through the lens of meta-analytics (which attempt to objectively assess how useful a metric is) and modeling game probabilities. Results show that while there is certainly room for improvement in understanding and use of microstats in modeling, the metrics overall represent an area of promise for hockey analytics.

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