The conflict over the proper role of data analytics has been an ongoing story in modern sports for many years now. The controversy only intensified with the way the final game of the baseball World Series played out. Lots of angry sports talking heads sounded off about how much they hated the decision for the Rays to pull their starting pitcher and hate the role analytics play in sports. Interesting contrast between what the “data says” and what your gut says.
This first link summarizes the situation and the videos at the top of the linked page are a few of the angry talk show hosts sounding off on their anger.
World Series 2020: Why the Tampa Bay Rays took Blake Snell out while he was mowing down the Los Angeles Dodgers
“Championships are not won by guidebooks”
Host Colin Cowherd makes some interesting points here about what he thinks are the appropriate times to approach the sport analytically.
Kevin Cash’s decision to pull Blake Snell, explained: How analytics overruled World Series context clues and cost the Rays
The long view of analytics points to reasons why pulling Snell was the right move, but it also ignores the individual context clues that Snell’s Game 6 domination provided.
Here are a few more resources on the topic. Depending on your students and their interests,
Sports closer to art than science
CHANGING THE GAME- The Rise of Sports Analytics
Are super-nerds really ruining US sports? | Sport | The Guardian