In this year’s Game Theory course (2022), as well as multiple instances throughout the Game Theory in Best Ball podcast series (most notably with Jon Warner), I spend a good deal of time and energy discussing a theoretical concept called backward induction and causality. Without digging too far into the theory itself (we’ll save that for the Game Theory course!), it can be summed up as the process of beginning with an end result and working backward to establish an optimal approach moving forward. Causality deals with the relationship between cause and effect. What does this process sound like to you? Put the two together and we’re left with the process of developing a game plan based on previous results, paying particular attention to why a certain decision-making process worked and why others didn’t.
And that is exactly what we’re going to do in this course. We’ll take a methodical approach to digesting previous large field GPP winners (utilizing DraftKings Millionaire Maker data), what worked and why it worked, and how to implement our findings as we move forward. We’ll first look at the recent data on DraftKings, before interpreting the data, generating a game plan, establishing repeatable habit patterns, adding a few theoretical concepts, taking a quick look at field tendencies and potential leverage situations, and wrapping it up with a conceptual thought experiment to bring it all together.