We all love stats for the stories they help us tell. Whether it's the arc of a season, the rhythm of a game, or the evolution of a player’s career.

But basic counting stats often miss the mark. They ignore crucial details like field position, game state, or whether a throw actually helped a team get closer to scoring. Not all completions are equal — and not all turnovers hurt the same.

Maybe you're a Frisbee fanatic hunting for the next data point to prove your theory on player impact. Or maybe you're a die-hard sports fan craving the Ultimate version of football’s EPA, basketball’s model-based plus/minus, or baseball’s WAR.

Shown Space is our attempt to bring rigorous statistical and machine learning methods to Ultimate — measuring how every pass, reception, and block impacts scoring probability. By accounting for key context like time pressure and resets, we can create novel metrics and fresh perspectives for player evaluation.

We're just getting started, and some of our most ambitious features are still on the way.