Damian Lillard’s Game-Winner in Context

Damian Lillard of the Portland Trailblazers hit a crazy game-winner the other night. The game was tied, the clock was winding down, and Lillard pulled up from a thousand feet away for the win. Lillard’s straight-faced reaction was as good as the shot.

Here’s how that shot matches up with all of the other threes Lillard has made during his playoff career:

Just nuts.

The R code, in case you’re interested:


# Load data.
makes3 <- read.csv("https://flowingdata.com/projects/2019/lillard/threes_lillard.tsv", sep="\t")

# Plot all made threes
plot(-makes3$loc_x[-dim(makes3)[1]], makes3$loc_y[-dim(makes3)[1]],
     cex=.7, pch=19, col="#888888", 
     asp=1, bty="n", axes=FALSE, xlab="", ylab="",  
     xlim=c(-25, 25), ylim=c(0, 50))
segments(-makes3$loc_x[-dim(makes3)[1]], makes3$loc_y[-dim(makes3)[1]], 
         rep(0, dim(makes3)[1]), rep(5.25, dim(makes3)[1]), 
         lwd=.4, col="#888888")
draw.arc(0, 5.25, 9/12, angle1=0, angle2=2*pi, col="black", lwd=2)

# Game winner
x_win <- -makes3$loc_x[dim(makes3)[1]]
y_win <- makes3$loc_y[dim(makes3)[1]]
segments(x_win, y_win, 0, 5.25, lwd=3, col="#CF082C")

# Note: Download file at https://flowingdata.com/projects/2019/lillard/lillard_face.png
img <- readPNG("lillard_face.png")
rasterImage(img, xleft=x_win-2, xright=x_win+2, ybottom = y_win-2, ytop=y_win+2)
symbols(x_win, y_win, squares = 4, add=TRUE, inches=FALSE, lwd=3, fg="#CF082C")
text(x_win+2.25, y_win, "Bye, OKC.", pos=4, family="Georgia", font=3, cex=.9)

Become a member. Support an independent site. Make great charts.

Join Now


The Best Data Visualization Projects of 2014

It’s always tough to pick my favorite visualization projects. Nevertheless, I gave it a go.

Watching the growth of Walmart – now with 100% more Sam’s Club

The ever so popular Walmart growth map gets an update, and yes, it still looks like a wildfire. Sam’s Club follows soon after, although not nearly as vigorously.

When Americans Reach $100k in Savings

It was reported that 1 in 6 millennials have at least $100,000 saved. Is this right? It seems high. I looked at the data to find out and then at all of the age groups.

Top Brewery Road Trip, Routed Algorithmically

There are a lot of great craft breweries in the United States, but there is only so much time. This is the computed best way to get to the top rated breweries and how to maximize the beer tasting experience. Every journey begins with a single sip.