S1’s Best 100 Titles of 2022: 32 Top-Tier Actresses 16 Hours

Editorial Review

S1’s best-of-2022 compilation sits squarely in the crowded year-end retrospective category, where major studios condense their best-performing content into marathon collections. In the doujin landscape, these aggregations function as convenience plays—low creative risk, maximum back-catalog appeal. S1’s particular strength has always been roster depth and production consistency, and this entry leans hard into that brand equity.

The specific roster matters here. Mikami Yua and Hatano Yui represent different tiers of mainstream recognition; their inclusion alongside performers like Yamate Riai and Koyoi Konan signals a deliberately curated mix spanning established stars and ascending talent. The “large breasts” and “S1 No.1 Style” tags underscore what separates this from competitor compilations—S1’s house aesthetic prioritizes certain physical archetypes and a particular production polish. The 197 scene selections across 16 hours suggest minimal fluff; this is genuinely comprehensive rather than padded, a meaningful distinction in the compilation space where runtime bloat is endemic.

The “exclusive” tag warrants scrutiny here. Whether this signals previously unreleased content or merely exclusivity to this specific collection varies by entry; the synopsis doesn’t clarify, which is either honest restraint or deliberate vagueness depending on your cynicism level.

High-definition across four discs suggests mastering care, though not revolutionary for 2022-era releases. The appeal is fundamentally transactional: collectors seeking dense catalogs of high-production content, or viewers building a foundational reference library of major actresses’ work without hunting individual titles.

This works best for completionists and casual samplers alike—those either committed to the S1 ecosystem or seeking a low-friction entry point into the studio’s philosophy. For anyone already familiar with these actresses’ individual work, the redundancy factor is steep.

Pragmatic compilation work that executes its formula without pretension.