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Heaven Line Simulator

Heaven Line Simulator

A Roblox experience owned by Zaturn Games.

SimulatorENline-cuttinglucksimulator

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

🌤️ Play every day for a boost of Good Luck! 👍 Like the Game & Join the Group = Cash Boost! ⏳ RACE your way to Heaven’s gates 🏃 Skip (or rudely cut in front of) the person ahead of you to move up faster 😈 Be the ultimate troll—shuffle the line and watch chaos unfold 🏖️ Finally relax and enjoy the heavenly views once you’re inside 😇 Reach the gates of Heaven to PRAY and show off your spot in line 😇 ✨ Pro tips: 👍 Like + ⭐ Favorite to support us (and maybe unlock secret rewards 👀) 🔔 Hit Notify so you don’t miss future updates and new ways to sneak ahead! 🎵 100% NON-COPYRIGHTED AUDIO so you can focus on cutting the line 🎵

Last updated by the developer 17 Aug 2025, 19:27 UTC.

0
playing (measured 11 Aug 2026, 08:05 UTC)
465
lifetime visits
100%
liked (2 👍 / 0 👎)
14
favourites (30.1 per 1k visits)
17 August 2025
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 We do not publish numbers we have not measured.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
11 Aug 2026, 08:050first reading

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

Monetization — game passes

Auto Cut
309 R$
x2 Cash
239 R$
Auto Enter
209 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 To Heaven Line Simulator 😇 · welcome361 · 0.00% win
Reached Heaven! · progression40 · 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.