general-balance-tuner

To balance general stats and classify rarity, apply a dual-axis scoring algorithm using maxStat and avg5 values. This recalculates EP and assigns rarity tiers based on predefined thresholds, streamlining both new general onboarding and full roster audits.

Dual-axis scoring derives a rarityTier by evaluating a general's maxStat and avg5 metrics simultaneously. This mechanism ensures balanced stat distribution alignment with rarity expectations while preserving any manual overrides or category-specific adjustments.

Run a full roster balance audit by providing target General IDs and selecting audit or full mode. The tuner reclassifies rarity, recomputes EP, validates aptitude eligibility, and suggests factor allocations across the entire roster.

Yes, manual rarity values and category overrides are preserved during automated EP recalculation. The system enforces these safety checks to ensure attributes align with rarity without overwriting manually set classifications.

Yes, you need rarity-thresholds.json for scoring thresholds, generals.json for general data, and GeneralUnit.ts type definitions. These files guide the dual-axis calculations and enforce category overrides during rarity classification.

The best way to recalculate EP and validate aptitude is using a rebalance or full mode tuner. It applies dual-axis scoring to recompute EP values, validates attribute eligibility against rarity tiers, and suggests factor allocations.