Everything Is Terrible, Noah Syndergaard Edition
Baseball, like the world around it, has been flooded with bad news for the last couple of weeks. Normally, losing one of the game’s most exciting 20-something pitchers to Tommy John would create a splash on the level of Dan-doing-a-cannonball-into-a-kiddie-pool. But in these times, the ripples created by the news of Noah Syndergaard’s surgery (along with Chris Sale’s) were relatively minor. What are UCLs compared to the concerns of COVID-19?
But it is bad news. Bad for the Mets and bad for Syndergaard himself. How bad? For a change of pace, let’s start off with the long-term projection rather than finish with it. The projection is notable in this case as there’s a key difference in the model. With no actual game-related news to distract me, I’ve been able to complete work on one of my ongoing data projects: better long-term playing time projections for players with injuries, especially serious ones that cause entire seasons to be missed.
While ZiPS has had a generalized model for injuries — both specific and, well, general — for some time, the focus was mainly on projecting how well the player would play upon returning and the long-term qualitative impact on their play. So long-term, pitchers with bum shoulders would fare worse than those taking a trip to Dr. Andrews’ Magic Elbow Factory, and speedy infielders with leg problems would see their aging curves accelerate. Less of the focus had been the long-term effect on playing time itself, something I’ve been able to work on a lot recently. Read the rest of this entry »
Dan Szymborski
Dan Szymborski