Tag Archives: Big Data Cup

Big Data Cup: Player Positioning in relation to Puck Position

This project focuses on analyzing player positions in relation to puck positions on the ice using a custom tool that visualizes data as heat maps or average player locations. Coaches and players can utilize insights to enhance tactical understanding, improve defensive structures, and evaluate player roles.

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”