Interactive Visualization: College Hockey America Fancy Team Stats
These Power Ranks are determined using the Pucks and Probabilities model for College Hockey America. The model factors in a number of different statistics, measures, and performance indicators including some that are featured on this dashboard.
These rankings are not indicative of the team’s standings position or record. They are simply a way to visualize which teams are having good results in certain metrics.
Context: Robert Morris had a dominant weekend against Union while the rest of the CHA struggled to produce results outside of Lindenwood securing a 3-2 W against Bemidji. Due to the lack of data this early in the season and the crazy variance in the quality of competition, it’s hard to look at the power ranks and take anything meaningful away (yet).
Expected Goal Differential per 60 is represented by “daggers.” The top value of the dagger is a team’s expected goals for (xGF60) while the bottom value of the dagger is a team’s expected goals against (xGA60), both represented in terms of 60 minutes of play. The shading of the dagger shows the intensity of the differential.
Context: Outside of Robert Morris going off, the remaining CHA teams have abysmal xGDIF rates. This should almost definitely change as the schedule picks up and more data is fed into the visualization.
The Shot Share graph is one way that you can infer a team’s ability to possess the puck. In general a team that generates a higher percentage of the shots in a game will have possessed the puck more.
The bar graph is representative of the shot differential for a team while the shading of the bars shows the goal differential.
Context: Typically a team that generates more shots will score more goals than their opponents (Robert Morris), however this graph does a good job showing that while you may control play over the course of a weekend, you may still get beaten (Syracuse).
Shot Rate is just a fancy way of comparing the number of shots for and the number of shots against per 60 minutes for each team.
Ideally a team would be in the upper right quadrant (vertical axis reversed) with a high shots for rate and a low shots against rate per 60 minutes.
Context: This is a similar graph to the shot share in that it shows how well a team controls play by inferring possession based on shooting metrics. Once again we see Robert Morris in the top right having crushed their competition in Week 1 while Lindenwood and RIT got caved in in shot generation.
Puck Luck, or PDO, is the combination of a team’s shooting percentage and a team’s save percentage. The theory is that teams will end up around “1.” A team with a PDO above 1 can consider themselves lucky, while a team with a PDO below 1 could be considered unlucky.
Context: This is a decent indicator of how “lucky” a team has been. In week 1 Robert Morris had stellar play from their goaltender and had a high shooting percentage, placing them in the top right “lucky” quadrant. While RIT didn’t manage to win a game, their (let’s be real, Emily Stemple’s) ability to score goals on few chances pushed them to the border of the “lucky” quadrant.