Several months ago I wrote about a number of ways to visualize how often different players appear together. Since that writing I’ve continued to explore this question, and have revisited an older plot design that focuses on a single player and his or her teammates. This focus brings a measure of clarity that I would like to explore here.
The question of player combinations has fascinated me for some time. The topic is predicated on the belief that a team is, more than anything else, the aggregation of its players. Coaches have an impact, but it is the players on the field. More than individual players, even, I have been looking for ways to understand the results of player combinations.
I started working with a new type of impact plot tonight, looking specifically at playing time compared against team goal difference. Dots representing each player are plotted along two axes: the horizontal axis records how much of the season the player has seen, while the vertical axis indicates the team’s goal difference during the player’s time on the field. Continue reading Plotting individual playing time against goal difference
I had some time this morning as I waited to leave for work, so I put together a quick test of StackView, a tool developed at Harvard to allow for easier browsing of library collections. I’m still working out some kinks, but this may end up replacing the current card-based display for players on this site: