[BEAST LEAGUE]Apotheosis : Incremental Cultivation

A Roblox experience owned by DolphSyde Productions.

TycoonENcultivationincrementalmanhwa

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

An incremental cultivation game based on trying to become god, based on many on a mixture of cultivation manhwa/manhuas and chinese folklore/wuxia BEAST LEAGUE MAJOR UPDATE OUT NOW USE CODE "BEASTLEAGUE" FOR 8500 SPIRITSTONES! SEVEN DEADLY SINS EVENT OUT NOW USE CODE "7DS" FOR 3500 SPIRITSTONES! 🔥 GAME FEATURES: 🎨 250+ UNIQUE SKINS – Stand out from the crowd and collect them all! 🧬 50+ AFFINITIES & PHYSIQUES – Mix and match to create your ultimate build. 👹 140+ BOSSES & ENEMIES – Test your luck and skill against epic foes. 📅 DAILY REWARDS – Log in every day to earn spiritstones and free skin vouchers! 🎁 USE CODE: RELEASE for 2,000 FREE Spiritstones! (Enter in Settings) 👍 900 Likes for a NEW CODE! ⭐ Favorite and Follow for game updates! Join the discord for codes!

Last updated by the developer 25 Jun 2026, 01:51 UTC.

playing (measured 11 Aug 2026, 03:01 UTC)

63,606

lifetime visits

80%

liked (833 👍 / 213 👎)

1,177

favourites (18.5 per 1k visits)

12 June 2025

created (per Roblox)

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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 We do not publish numbers we have not measured.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)	Players	Change
11 Aug 2026, 03:01	0	first reading

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

Badge funnel

Alpha Tester · other25,784 · 100.0% win

[OG]Alpha Tester (Thank You For Playing!) · other845 · 0.00% win

Stress Tester · other517 · 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.