Lifting League Simulator
A Roblox experience owned by Super Lifting.
SimulatorENfitnessprogressionleaderboard
Lifting League Simulator is a simulator experience created on 2022-07-16. The game has recorded 1,386,940 lifetime visits and 4,018 favorites. It maintains a 91% like percentage. Currently, zero users are playing the experience. The title focuses on weightlifting mechanics within the simulator genre.
Description (written by the developer; not a statement by this register)
🌌💪🏻 Welcome to Lifting League! 💪🏻👽 🔥 Lift Weights To Become Bigger & Stronger! ✨ Buy Better Weights & Genes To Upgrade Your Body! 💰 Earn Coins! 🗺️ Unlock Zones! 🏆Become The Strongest & Be On The Leaderboard! 📌TIP: When you bought gamepass rejoin, after that it should work! 📙 UPDATE LOG 8 📙 🌌 Space Update! 🗿 New Weights! 🧠 New Stages! 🤑 2 New Game Passes! 🐛 Bug Fixes! 🔔 Follow for game updates! 🔔 ✅Join the group for additional perks and benefits! https://www.roblox.com/groups/15399209/Super-Lifting#!/about Tags: Weight, Lifting, Simulator, Buff, Strong, Get Strong, Muscle, Lift, Workout, Bodybuilder, Strongman, Strength, Speed, GigaChad, Fight, WLS3, Sigma, Obby, Kill, Vs Level, Pro, Ragdoll, Kill peoples, Adventure, Become Strong, Become Big, Fun, Big man, Big strong, Strong man, Big body, Sim, Legend, Body Lifting, Lifting Game For Your Body, Strongest, Lift Weight To Be Strongest
Last updated by the developer 20 Mar 2023, 03:40 UTC.
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 We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 16:04 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
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
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.