Fede Vigevani OBBY
A Roblox experience owned by DampliStudios.
ObbyENparkourplatformerleaderboard
Fede Vigevani OBBY is an obby experience created on 2024-01-17. The game has recorded 717,300 lifetime visits and 1,232 favorites. Currently, zero users are playing. The experience maintains an 87% like percentage based on user ratings. It features checkpoint systems and leaderboards for competitive play.
Description (written by the developer; not a statement by this register)
Welcome to Fede Vigevani OBBY! 💕💪🏻 Get ready to test your skills and overcome challenging levels full of jumps, platforms, and obstacles. In this Obby, your goal is to reach the end of each stage, avoiding falls, dodging traps, and overcoming increasingly difficult obstacles. 😲😬 As you progress, you will find checkpoints that allow you to resume from that point in case you fail. Don't worry if you fall, you can always try again! 😁😌 Compete against your friends to see who can complete the Obby in the shortest time possible and reach the top of the leaderboard. Do you have what it takes to become the best? 👑 Show your skill, conquer each stage, and make it to the end! 😱🎉 JOIN MY GROUP FOR REWARDS! 👇🏻✨
Last updated by the developer 11 Dec 2025, 20:07 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 10 Aug 2026, 20:37 | 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.