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DIVINITY RPG (2018)

DIVINITY RPG (2018)

A Roblox experience owned by The Sparkle Time Studio.

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DIVINITY RPG (2018) is a Roblox experience in the racing genre, created on April 20, 2018. The game has accumulated 1,358,877 lifetime visits and 25,198 favorites. It holds an 81% like percentage. Currently, zero users are playing the experience.

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

Similar to CRIMSON RPG (2016), DIVINITY was heavily inspired by darkness999999's "Legend of Excalibur RPG", and was my first attempt at coding & building an entire game by myself.

Last updated by the developer 19 Sept 2025, 16:55 UTC.

0
playing (measured 10 Aug 2026, 14:18 UTC)
1,358,877
lifetime visits
81%
liked (7,991 👍 / 1,888 👎)
25,195
favourites (18.5 per 1k visits)
20 April 2018
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 We do not publish numbers we have not measured.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
10 Aug 2026, 14:180first reading

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

Monetization — game passes

Executive VIP
599 R$
Premium VIP
239 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 Badge · welcome599,947 · 0.00% win
Achieved Level #50 · progression51,195 · 0.00% win
Achieved Level #100 · progression19,588 · 0.00% win
Achieved Level #150 · progression6,170 · 0.00% win
Early Tester Badge · welcome3,496 · 0.00% win
Achieved Level #200 · progression1,909 · 0.00% win
Meet the Creator Badge · welcome486 · 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.