I love stats. I’ve been a baseball stathead since I was a kid. I kept track of my own batting average in Little League as well as walks, extra base hits (those were easy – there weren’t many of them), and RBIs. I used to check the box scores in The Record every morning to see what the Mets’ updated stats looked like after the previous night’s game (Unless the game was on the west coast – ahhh, the dark ages), and I’ve continued that habit into the present day.
Over the past 10 years or so, I’ve been familiarizing myself with sabermetrics. I like them. I find them useful. Especially the ones I can understand. Advanced metrics have given me a whole new perspective on the careers of baseball players today, and a renewed appreciation of players from the past.
The one relatively new development I haven’t gotten on board with is the concept of statistical projections.
