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Dragon RPG [QOL]

Dragon RPG [QOL]

A Roblox experience owned by Assassin Games!.

RacingENfantasylevelingbeta

Description (written by the developer; not a statement by this register)

Welcome to the release of Dragon RPG! Its based off the OG days of roblox and it is very fun In this game you use your armor and sword to fight off monsters For each monster you kill you will get Levels or XP Xp is used to get levels also another thing Buffed many enemys for balence Please remember this game is in beta I did use a RPG kit from toolbox to make this But i made it my own and fun :D Dev: CrimsonDragon660

Last updated by the developer 31 Jul 2026, 01:57 UTC.

0
playing (measured 12 Aug 2026, 19:49 UTC)
1,383
lifetime visits
90%
liked (19 👍 / 2 👎)
12
favourites (8.7 per 1k visits)
11 April 2026
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
12 Aug 2026, 19:490first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

Excalibur Bundle
99 R$
VenomShank Bundle
50 R$
Waterbrand bundle
40 R$
Obsidian Set
20 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

Welcome · welcome149 · 0.00% win
Epic Duck · other64 · 0.00% win
Wow you really fell for it XD · secret46 · 0.00% win
Void badge · other0 · 0.00% win
[PLACEHOLDER] · other0 · 0.00% win
[PLACEHOLDER] · other0 · 0.00% win
[PLACEHOLDER] · other0 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.