Annual Rate Charts (Introduction)

I debuted the Annual Rate Charts (ARCs) on twitter over a month ago and since I’m unleashing the Tableau to the public, I wanted to ensure proper documentation was available.

You can find the link to the interactive Tableau Charts HERE!

What are Annual Rates Charts?

Annual Rate Charts (ARCs) are a way to measure the production and expected production of a player relative to their time on the ice. Production is quantified using the Goals Above Replacement (GAR) and Expected Goals Above Replacement (xGAR) models from Evolving-Hockey. If you want an in-depth analysis of how GAR is calculated, documentation is available here. In short, GAR is a single number that captures the contribution of that player in different game situations. GAR is subdivided into several categories, including even strength offense & defense, power play, penalty kill, takeaways and faceoffs. The number for each player represents the number of goals more (positive) or less (negative) that a player contributions relative to a replacement-level player (by position).

Expected GAR (xGAR) is also a single number assigned to each player, which is calculated based on the on-ice performance of a player (including rates, quality, shooting and goaltending). This number is the expected number of goals more or less above replacement-level that the player should contribute, based on their on-ice actions. In other words, xGAR represents the performance of a player, while GAR represents the results of that performance. When I tested the relationship between these values, I find that xGAR captures approximately 86% of the variation in GAR, which is quite substantial for a model including human subjects.

Annual Rate Charts (ARCs) can be differentiated from many other publicly available visualizations using GAR and xGAR data as it is relative to the amount of time a player is on the ice. These rates can be differentiated from many other popular visualizations that  display GAR data in aggregate form. There are strengths and weaknesses to both rate and aggregate data, but both are useful in their own way.

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GAR and Cap (2018-2019): Defensemen (cont.)

Following up from the previous post here, which examined the best (and worst) GAR performers in each game situation, this article will examine defensemen value relative to cap hit. For more information on how GAR is calculated, please check out the introduction. Before delving into the nuances of player value, I present an illustration of the cap hit and GAR of all defensemen:

GAR per Dollar (D)

Continue reading “GAR and Cap (2018-2019): Defensemen (cont.)”

GAR and Cap (2018-2019): Defensemen

The first positional group of interest is defensemen, who will be presented in the three different game situations (Even Strength, Power Play and Short Handed). Before diving into the GAR values for individual defensemen, be sure to check out the introduction, which outlines the process for data collection and team-aggregate values. The following charts illustrate the GAR of defensemen in different game situations and time-on-ice:

Continue reading “GAR and Cap (2018-2019): Defensemen”