Age of Sigmar is the most data-rich of the three systems we cover. A fully active competitive scene, regular Battlescroll updates, and a roster that spans dozens of factions across four grand alliances gives us an enormous dataset to work with — and a target that moves every few months when GW repoints units or adjusts rules.

The Statshammer AoS framework is built on two core metrics. D₁₀₀ — damage output per hundred points spent, calculated across all weapon profiles including melee, ranged, and companion weapons. E₁₀₀ — effective wounds per hundred points, accounting for save rolls and ward saves. Together these two numbers place every unit on the efficiency matrix: a scatter plot that shows, at a glance, whether a unit is a Hammer, an Anvil, a Support piece, or a genuine Elite.

What makes the Statshammer approach different is that we don't stop at individual units. We apply the same matrix to entire factions, deriving a centroid — the faction's centre of gravity on the efficiency chart — alongside a slope and R-squared value that describe the army's strategic identity in quantifiable terms. A steep negative slope with high R-squared is a Glass Cannon army. A shallow slope with units clustered in the Anvil quadrant is an Attrition army. These aren't labels based on reputation — they're derived from the warscroll data.

The AoS series is the most developed content on the channel. Episodes cover the full analytical toolkit: from building the baseline average unit, to plotting the game-wide scatter, to deep-diving individual faction archetypes. If you're new to Statshammer, AoS is the best place to start — the framework is explained from the ground up, and every concept carries across to the other two systems.