Bring on the Beantown Boys

For my longtime readers, you know that despite living in both Chicago and now Philadelphia, I am and have been since way back in 1999, a Boston Red Sox fan. And this week, the Carmine Hose make their biennial visit down I-95 to South Philadelphia.

And I will be there in person to watch.

This is the second series after the All-Star break and as much as I wish it were otherwise, the Red Sox are just not as good as the Phillies. The team my hometown supports is just better than the one for whom I root. The Sox are 54-47 with a .535 winning percentage and the Phillies are 56-43 with a .566 winning percentage. The Phillies have the better rotation, by far. And the Red Sox’ two best pitchers just threw out in Chicago whereas the Phillies’ best toe the rubber over the next three nights.

But…the Boston baseball bats are a bit better and the Bank is a bandbox. Consequently I do not want to say the Phillies sweep the Sox, but my prediction is it will be tough for the Sox.

How does this connect to information design and data visualisation? Last week as the “second half” began, my local rag, the Philadelphia Inquirer, published an article examining the Phillies’ season to date and their road up ahead. It included a couple of graphics I wanted to share, because I found them a nice addition to the type of article usually devoid of such visual pieces.

The first piece looked at the Phillies’ performance relative to recent teams.

You can see the 2025 club is out performing the 2022 and 2023 editions of the team. I have a few critiques, but overall I enjoyed the graphic. I think the heavier stroke and the colour change for 2025 works…but are both necessary? Or at least to the extent the designer chose? And which line is which year?

The chart is too visually busy with too many bits and bobs clamouring for attention. The heaviness of the blue stroke works because the chart needs the loudness. But move the year labels to a consistent location—which, once established helps the user find similar information—and remove the data label annotations—the precise number of games over .500 should be clear through the axis labelling. If I make a couple quick edits in Photoshop to the image, you end up with something like this.

Again, an overall good graphic, but one with just a few tweaks to quiet the overall piece allows the user to more clearly identify the visual pattern—that the Phillies are good and better than two of their three most recent iterations.

The second piece was even better. It looked at the Phillies’ forthcoming opponents, which at the time of publication first included the Los Angeles Angels before the Sox. (For what it may be worth, the Angels won two of three.)

A different graphic, the same critique: overall good, but visually cluttered. Here I revisit the chart, but move some elements around to clear the chart’s visual space of clutter to emphasise the visual pattern in the chart.

I left the annotated point about the Phillies’ winning percentage, because I do think annotations work. But when a chart is full of annotations, the annotations become the story, not the graphic. And if that is the story, then a table or factettes become a better visual solution to the problem.

I will add I do not love how low the line for the opponents falls below the chart’s minimum axis. I probably would have extended the chart to something like .750 and .250, but it is far from the worst sin I see these days. (I keep thinking of writing something about the decline of the quality of data visualisation and information design in recent years, but that feels more akin to a polemical essay than a short blog post.)

Big takeaway, I like seeing my baseball articles with nice data visualisation. It heralds back to a couple of years ago when outlets routinely published such pieces. Baseball especially benefits from data visualisation because the game generates massive amounts of data both within each game and the collective 162-game season.

Good on the Inquirer for this article. I do not usually read the Sports section, because I am not a Philadelphia sports fan, but maybe I will read a bit more of the Phillies coverage if they include visual content like this.

Credit for the original pieces goes to Chris A. Williams. The edits are mine.