WallHop/LadderFlick Practice
A Roblox experience owned by Lags Studios.
ObbyENmovement trainingparkourskill-based challenge
WallHop/LadderFlick Practice is an obby experience created on 2025-03-31. It has accumulated 15,451,685 lifetime visits and 7,264 favorites. The game holds a 75% like percentage. Currently, zero users are playing. The description highlights training for wall hopping and ladder flicking skills within obstacle course gameplay.
Description (written by the developer; not a statement by this register)
🧗 Want to beat the trollers on troll is a pinning tower? Or do insane trick shots or running away in mm2? Well here you can do all that! 💫 Master Your Wall Hopping & Ladder Flicking Skills! ❤️ Thank you for all the support my game has received! (Tags: Ignore) wallhop, ladder flick, obby, parkour, movement training, advanced obby, skill-based, speedrun, challenge, difficulty progression, hardcore obby, pro parkour, time trial, leaderboard, competitive, obstacle course, flicking, jumping, wall jumping, practice, training, movement skills, tower, pro, obby, fun, wallhop practise, troll is a pinning tower, troll is a phinning tower, troll is a pining tower
Last updated by the developer 31 Jul 2026, 11:55 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 We do not publish numbers we have not measured.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, 15:46 | 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.