
There are a few things in sport that are universally understood and respected. Foremost among them is the clarity of a simple win. You score more points than your opponent? You win. They lose. In virtually any sport! No partiality at play, no subsectionality to grapple with -- it's binary, it's Bernoulli, it's beautiful. Sure, there are different types of wins -- distilled to its core, sports analytics is primarily the process of determining probabilities behind the binary outcomes presented to us. It's all about taking binary outcomes and converting them into a continuous scale that allows for more gradation. Which win was a better win? Which pitcher is more than the sum of his direct outcomes? Which team was blessed by luck? Analytics let us answer these questions. They let us find the threads of continuity that underline the binary outcomes we respect and live by as fans. It takes the all-too-simple framework of winners and losers and lets us expand into the types of winners and types of losers. It lets us go deeper.
Smart people use smart analytics and deepen their understanding of the games we watch. That seems self-evident to most of us. But there's a funny element to following sports. As much as we try to look past binary outcomes and analyze on a deeper level, we're still following sports. We're still looking at a world of wins and losses, and that binary thinking is omnipresent in all we assess. And the funny thing is, the idea of wins and losses and the principled understanding of binary outcomes as they relate to sports actively harms our ability as fans to properly assess common scenarios and situations. Take this motivating example. Today, the Houston Rockets traded Chase Budinger to the Minnesota Timberwolves for the #18th pick in the draft. And I propose to you this: neither team lost.









