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.

See What You Get

Learn to Visualize Data See All →

How to Read and Use Histograms in R

The chart type often goes overlooked because people don’t understand them. Maybe this will help.

Making an Interactive Map with Category Filters

Let readers focus on the regions they care about to make their own comparisons and conclusions.

How to Make an Interactive Area Graph with Flare

You’ve seen the NameExplorer from the Baby Name Wizard by …

How to Make Marimekko Charts in Excel

Marimekko charts, or mosaic plots, allow you to compare categories over two quantitative variables.


10 Best Data Visualization Projects of 2017

It was a rough year, which brought about a lot of good work. Here are my favorite data visualization projects of the year.

Years You Have Left to Live, Probably

The individual data points of life are much less predictable than the average. Here’s a simulation that shows you how much time is left on the clock.

Pizza Place Geography

Most of the major pizza chains are within a 5-mile …

10 Best Data Visualization Projects of 2015

These are my picks for the best of 2015. As usual, they could easily appear in a different order on a different day, and there are projects not on the list that were also excellent.