House Ellowuyr of Ios is known for a great many noble reasons, such as the quality of the soldiers they produce or their unique style of armor. Falcir herself is neither well known nor noble, but she is one the House’s most powerful assets. Those who know of her call her “The Merciless,” but these words do not do justice to the true nature of this warcaster. Falcir is House Ellowuyr’s executioner, and she is brutally exceptional at the task.
Falcir is no simple headsman. She is an executioner of individuals, ideals, organizations, and even armies, and she is called to duty when every hint of a threat must be removed or when a point must be made to the enemies of Ios. She does not accept surrender from foreign soldiers nor does she allow them to flee. To face her is to face one’s own meticulously planned and inevitable demise. Falcir calculates every angle of a conflict, every possible outcome, and ensures her forces have a plan to deal them swiftly.
When battle ensues, Falcir’s force of will manifests as strange symbols, “bounties” that hover over her foes, marking them for death. In no more than the blink of her eye, these symbols will shatter, unleashing all manner of arcane mayhem onto those marked, all as Falcir had planned.
Falcir, The Merciless is a Retribution warcaster that brings a new style of gameplay both to Retribution and to WARMACHINE as a whole. Falcir herself is a melee powerhouse, best suited to fighting single hardier targets (such as Colossals or Gargantuans) on her own instead of wading into units of enemies She relies of her army to deal with the “chaff” of the opposing force but aids them not only through her spells but also with her unique bounty mechanic. At various points throughout the game, Falcir can place bounty tokens on enemy models and units, which can be spent by her army to provide a wide variety of effects, such as reducing an enemy unit’s accuracy or speed or increasing the damage dealt to the enemy by friendly Faction models. This bounty mechanic requires players to plan ahead, knowing not only which models/units need to have tokens placed on them but also to what effect they intend to use them later.