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[UPD 1] SPTS: X

[UPD 1] SPTS: X

A Roblox experience owned by Vxcion.

SimulatorENsuperherostat trainingleaderboards

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

💥 Welcome to SPTS:X! 💥 Train, grow stronger, and become one of the most powerful players in the world! 👊 Train your Fist Strength and unleash devastating punches! 💪 Build your Body Toughness and become nearly unstoppable! ✨ Master your Psychic Power and unlock incredible abilities! ⚡ Increase your Speed until you can move faster than the eye can see! ☄️ Choose your path — become a powerful Superhero or a feared Supervillain! 🏆 Climb the global leaderboards, compete against other players, discover new areas, unlock stronger powers, and much more! 🔥 How powerful can you become? 🇧🇷 Made with passion by a Brazilian.

Last updated by the developer 26 Aug 2026, 02:02 UTC.

15
playing (measured 26 Aug 2026, 19:15 UTC)
2,602
lifetime visits
75%
liked (27 👍 / 9 👎)
16
favourites (6.1 per 1k visits)
17 August 2026
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 We do not publish numbers we have not measured.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
26 Aug 2026, 19:1515first reading

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

Monetization — game passes

Half Skill Cooldown
40 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

: · other134 · 29.6% win
X · other134 · 29.6% win
PLAY · welcome134 · 29.6% win
SPTS · other134 · 29.6% win
TODAY · other134 · 29.6% 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.