![[UPD✨] INFINITY SLAP TOWER [🤚]](https://tr.rbxcdn.com/180DAY-c1d84c48590a931ac3729f6ebe90a71f/256/256/Image/Png/noFilter)
[UPD✨] INFINITY SLAP TOWER [🤚]
A Roblox experience owned by Slap Towers Studio.
Fighting & PvPENslap battletower climbpower-up gloves
[UPD✨] INFINITY SLAP TOWER [🤚] is a fighting-pvp Roblox experience created on 2025-06-05. The game has accumulated 1,157,851 lifetime visits. Current engagement metrics show 0 players playing now, a 71% like percentage, and 269 favorites.
Description (written by the developer; not a statement by this register)
Jump, battle, and blaze your way to the highest stage ever! 🔥 Magma Gloves — burn your opponents with powerful hits and knock them off the course! 🌈 Rainbow Gloves — flashy, fast, and unpredictable — become a true arena legend! ✨ God Gloves — divine power that sends players flying with a single strike! ⚡ Ultra Speed Run — dash through stages at incredible speed and complete the course faster than ever! 🏆 Competitive Action — can you go farther than everyone else? 👍 Enjoying the game? Don’t forget to Like and ⭐ Favorite! Tags: Obby, Parkour, Endless, Fighting, Speed, Gloves, Magma, God, Rainbow, Fun, Realistic
Last updated by the developer 23 Nov 2025, 18:07 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 12 Aug 2026, 05:23 | 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.