Gilligan on Data by Tim Wilson

My posts have gotten pretty sporadic (…again, sadly), and I’ll once again play the “lotta’ stuff goin’ on” card. Fortunately, it’s mostly fun stuff, but it does mean I’ve got a couple of posts written in my head that haven’t yet gotten digitized and up on the interweb. This post is one of them. As [...]

I’ve had this post half-written for a few days, but it became more timely last night when Mark Buehrle pitched a perfect game for the Chicago White Sox, so it just became a “finish it up over lunch” priority. I’ve got my own little baseball-related accomplishment that I added to my site earlier this week — [...]

I’ve written about baseball before, and I’ll do it again. My local paper, The Columbus Dispatch, had a Sunday Sports cover page two weekends ago titled Going Deeper – Baseball traditionalists make way for a new kind of statistician, one who looks beyond batting averages and homers and praises players’ EqA and VORP. The article [...]

In Part I, I took a run at assessing a couple of the most popular baseball statics to see how they measured up as well-formed performance metrics. The other thought that has been running through my mind as I’ve been scoring my son’s baseball games has to do with data management and data quality. Scoring [...]

It’s late spring, and my 9-year-old’s baseball season is getting rolling. Due to my gross lack of eye-hand coordination, I volunteered to do the scoring for the team. There are two basic reasons to score a baseball game: Capture enough information on a single page (two pages, actually) that would allow you to entirely recreate [...]