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EvaluatePlay (the hottest gameplay call, fired on every tile placement) now uses the warm live-game cache directly: an active game stays cached (mutated in place across moves, evicted only on finish), so the cached engine game and its immutable seat list answer the membership check and the score with no DB read. The cold path (eviction / first load) still loads and validates via the store. The seat list is cached alongside the engine game for the membership fast path. GetGame also folds its two round-trips (game, then seats) into one LEFT JOIN, preserving the contract (same Game, a seatless game still returns empty seats, seat order kept) — one round-trip for every remaining caller. Measured at 500 players: evaluate p99 halves (200 -> 100 ms) and the per-op query count drops. It does NOT cut postgres CPU — that is write-bound (per-move CommitMove plus draft upserts and journal replays), the cheap indexed GetGame reads were never its bottleneck, and postgres runs with headroom (~1.5 of 2 cores). So this is a latency / query-volume optimization, not a DB-CPU one. Regression cover: a non-player evaluate against a warm game asserts the cached-seat membership path; the integration suite exercises GetGame's join across every game op.