EP27 - ริวิว GUNSLINGER สาย Desperado และ Gatling | Ragnarok Origin Classic

Summary

A Thai Gunslinger review comparing Desperado and Gatling directions for ROOC players deciding which style better matches their goals.

Best for

Players who already narrowed Gunslinger down to Desperado or Gatling and want another regional perspective on the tradeoff.

Our take

Useful because it overlaps with the current hottest Gunslinger decision point. The source appears tied to early testing context, so use it for route comparison and then confirm final skill or gear details against live-server examples.

Codex reading

ROOC Codex indexes this as a build planning resource for Gunslinger. The practical reason to open it is: Players who already narrowed Gunslinger down to Desperado or Gatling and want another regional perspective on the tradeoff. That context matters because the same source can be strong for one account stage and wasteful for another.

Our reading of the guide is intentionally narrow: Useful because it overlaps with the current hottest Gunslinger decision point. The source appears tied to early testing context, so use it for route comparison and then confirm final skill or gear details against live-server examples. Use that note as the filter before copying stats, skill order, cards, or gear priorities from the source.

Relevant tags for this page are Gunslinger, Desperado, Gatling, Build Comparison, Review. If those tags do not match what you are building right now, start with another class or topic page before investing resources.

How to use this guide

Use this as a build planning reference for Gunslinger, but copy the decision logic before copying the exact numbers. ROOC builds can change quickly when server level, refine access, card supply, and guild PvP priorities move.

For this guide, pay special attention to damage timing, target selection, and stat efficiency. If your account is newer, under-geared, or mostly F2P, follow the cheaper stat, skill, and gear priorities first, then treat expensive upgrades as later optimizations.