Hockey Analytics

Basic Understanding of Hockey Analytics.

Hockey Analytics helps in creating a holistic view of specific hockey data and finding patterns in the data to gain insights. Pattern finding in hockey statistics helps in finding hidden information and turning it into something useful for gaining meaningful insights. 

Much more hockey data has become mainstream since the creation of Machine-Learning/Artificial Intelligence models and software.  These models are used for analyzing video for the data on behaviors, pattern discovery and pattern analysis, and finally visualizing the facts.

Artificial intelligent Software is programmed to recognize players and patterns or similarities in behaviour in hockey sequences. 

E.g. to recognize a particular player by number in a picture, and determine if they make a shot on net. 

There is a lot more information that is lying covered inside the hockey data collected by AI software. A pattern could show an emerging trend, ups and downs of a certain behaviour, seasonal variations, etc., amongst many other facts.  

A pattern generally shows that there exists some useful information waiting to be unearthed from the hockey data.

We show you how to read the data, understand trends and provide suggestions to affect the trends.