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[NEW✨] Divine Ores! 💎

[NEW✨] Divine Ores! 💎

A Roblox experience owned by Divine Ores.

SimulatorENminingclickerleaderboards

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

Welcome to Divine Ores! 💎 Like the game for more updates! 👍 Unlock over 7+ pickaxes! ⛏️ Over 10+ Ores to mine! 💠 Loads of upgrades! ⬆️ Reach the leaderboards! 🚀

Last updated by the developer 19 Feb 2025, 13:32 UTC.

0
playing (measured 12 Aug 2026, 01:17 UTC)
20,639
lifetime visits
71%
liked (127 👍 / 51 👎)
173
favourites (8.4 per 1k visits)
17 September 2023
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 We do not publish numbers we have not measured.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, 01:170first reading

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

Monetization — game passes

Divine Luck!
1,599 R$
MVP
999 R$
Mythical Luck!
799 R$
VIP
399 R$
2X Ore Chance
299 R$
2X XP
199 R$
Lucky!
199 R$
Sprint
49 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! · welcome14,767 · 0.00% win
Stone! · other9,987 · 0.00% win
Coal! · collection6,839 · 0.00% win
Iron! · other3,054 · 0.00% win
Steel! · other1,143 · 0.00% win
Emerald! · collection262 · 0.00% win
Amethyst! · collection158 · 0.00% win
Sapphire! · collection107 · 0.00% win
Meet the owner! · social101 · 0.00% win
Gold! · other86 · 0.00% win
Ruby! · other54 · 0.00% win
Diamond! · collection53 · 0.00% win
Spinblade! · other7 · 0.00% win
Hallowblade 2023 · 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.