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 against the game's real mix of weapons, accounting for save rolls, rend 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. The same matrix summarises whole factions in three numbers: Type, where an army's points lean between Hammer and Anvil; Spread, how alike its units are; and Strength, how far above or below typical its points sit. These aren't labels based on reputation — they're calculated from the warscroll data, and you can check every one in the free Maths Lab.

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.