Podcast Archives - Board Game Design Lab · Gabe Barrett

Using math to make your games better with Emerson Matsuuchi

·1 hr 13 min·4 clips

Emerson predicts game outcomes with math before playtests validate the model.

The problem is balance. Gabe frames math as a design tool: a way to test ideas, tune rewards, and catch obvious problems before players ever sit down. Emerson likes spreadsheets, but the point is not to turn the game into homework. The point is to give the designer something clearer to look at when values, rewards, and outcomes start getting slippery. Some values are easy to inspect. Emerson uses victory point cards, where resources turn into a set number of points, so the exchange rate is right there on the surface. Other values are messier. A card that scores for each red building asks the designer to think about likelihood: how often can that strategy show up, and what should it be worth when it does? So he starts with a baseline. In his example, every victory point card aims near a median value, then each card gets compared against that target. That makes different-looking choices easier to judge without pretending they are identical. The math becomes a measuring stick, not a judge. Emerson keeps coming back to likelihood, expected value, and best guesses, which is why the advice stays usable. He even stops to clarify that he is no longer talking about programming language, but about using numbers to describe a gameplay model. By the end, he is still working out how to present it as a method, system, or process. That uncertainty helps. The episode treats math like a workshop habit: build a theory, test it against examples, then let playtesting show what still breaks.

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