What It Is
PAWS takes Win Score (a simplified per-minute composite developed by David Berri) and adjusts it by subtracting the average Win Score for a player's position. The adjustment attempts to normalize for the fact that different positions tend to have different box score profiles.
APEX Rationale
Not used in APEX. PAWS inherits the limitations of Win Score (arbitrary box score weights, minimal defense) with a positional adjustment that uses five traditional positions rather than modern functional archetypes. Position adjustment is a step in the right direction — APEX's V2 roadmap includes archetype-based normalization for the same reason — but PAWS applies it to a methodologically weak base metric.