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Introduction To Hockey Statistics – First Chapter

You can find the full book here: https://hockeyskytte.gumroad.com/l/Hockey-Statistics Table of contents 2. Shot statistics Most statistics in hockey is based on shots. So, that will naturally be the focus in the first chapter. I think the best way to describe shot statistics is through a shot hierarchy. At the top you have the result, andContinue reading “Introduction To Hockey Statistics – First Chapter”

BDC 2022 – Transforming Event Data Into Possession Data

Abstract The event data by Stathletes for the Big Data Cup is very detailed. This should allow us to determine when (time), where (coordinates) and how (event) a player gains possession of the puck. Likewise, it should be possible to determine when, where and how a player losses possession of the puck. In other words,Continue reading “BDC 2022 – Transforming Event Data Into Possession Data”

Hockey Deployment Management analysis using Machine Learning

This article is written by Chris from ImPCT Sport. Follow them on Twitter: @ImpctSport. Here’s the previous articles written by ImPCT Sport: Lineup deployment management is a subject of debate in the sport community. By lineup deployment, I mean the manner in which ice time and starts are divided (or spread) between players during aContinue reading “Hockey Deployment Management analysis using Machine Learning”

Game projection model – The Variables (Part IB)

After I published the last article, I had a great conversation @IanGraph. Based on this conversation, I’ve decided to make a follow-up article. The main question is: Why does my findings on predictability differ from other research on the subject? Tests typically show that corsi and expected goals are better predictors than actual goals. However,Continue reading “Game projection model – The Variables (Part IB)”

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