Interested in math? Baseball? Can't stand either one? Come learn about how we use math to understand baseball! You'll enjoy the class, I guarantee it. Unless you're a Yankees fan. Just kidding! Since Henry Chadwick introduced baseball statkeeping in 1860, the quantity and depth of baseball statistics has continued to grow. Simple statistics - at bats, hits, and strikeouts - dominated for the first half-century of the game. Soon batting average and earned run average became the primary means by which players were judged. Today, data from every pitch is stored in massive databases and analyzed with complex algorithms. How has this 'sabermetric' revolution changed (and not changed) the way we play baseball? What's next for baseball statistics? In this class, we'll first take a look at the basic statistics: what they measure, what they don't measure, and where they fall short. We'll then get into the wacky world of sabermetrics: wRC+, wOBA, OPS+, and more. Finally, we'll talk about Statcast, the dawn of a new age in scorekeeping, and its applications.