Smart Baseball

This isn't just a useful book for baseball or sports analytics. Law's approach to making sense of data in the applied field of baseball points out the many flaws and pitfalls of any analytical pursuit. Cases of “managing to the stat” or simply relying on counting stats to the exclusion of useful context are profoundly atavistic, but Law keeps pointing out how these lay approaches persevere and thrive despite more coherent methods.

I generally don't get much out of sports analytics books–they tend to be introductory primers to many of the concepts analytics nerds are already deeply familiar with. Where Smart Baseball excels is that Law does more just than show the advantage of a contextual number over a mere counting stat. Instead, he spends a great deal of a time exploring how the fallacies that went into creating myths like the relevancy of a Save or Pitcher Win were inculcated into fan and even subject matter expert's understanding of the game. It's this constant refrain about the emergence of error in commonsense stats that makes the book an extremely useful polemic against the use of shallow approaches to big data and broader analytics.