How Do We Get There: Quantifying Pass Types and Their Value

Below is my submission for the 2021 Big Data Cup, hosted by Stathletes. I focused on developing a framework for measuring the value of player shots and movements, including the actions that occur before a potential assist. I outline my process for developing Expected Attack Value (xAV) below and explore some trends among common pass types.

My submission placed second in the College Division of the Big Data Cup in 2021; you can find my video presentation on YouTube from when I presented it at the Ottawa Hockey Analytics Conference in March 2021.

You can find an accompanying R Shiny App (for an Interactive Movement% Plot and full xAV Leaderboard) here. The code and paper for this project are also located on my GitHub page.

Ben-Howell-Big-Data-Cup-Paper