Last To Hoop Loses🏀
A Roblox experience owned by Last To Hoop Loses.
SportsENbasketballsurvivalsports
Last To Hoop Loses🏀 is a sports experience created on 2024-06-22. It has accumulated 2,767,769 lifetime visits and 3,946 favorites. The game holds a 71% like percentage. Currently, zero users are playing. The description highlights basketball mechanics including shooting, dunking, and upgrading stats. New updates are scheduled for 2025.
Description (written by the developer; not a statement by this register)
👋 Welcome to Last to Hoop Loses, a fun basketball game! 📜 How to Play: 🏀Just SHOOT or DUNK the ball into the other hoops and protect your own 🏃 Get close to the net to dunk and close to a player to steal 😄 Have Fun! 🌟Don't run out of lives or YOUR OUT! 🔥Play to buy new hoops, trails, and effects and UPGRADE your accuracy, handles, dunking and more New updates soon in 2025! Keywords: Basketball, Hoops, Hoopz, Phenom, Baller, Basketball Stars, Dunk, Dunking, Hoop, Crossover, Handles, Dunking, Shooting, Lebron, Mobile, Practice, Gym, Sports, Fun, RB world, NBA, NBA Basketball, Last to Score, Sim, Adventure, Exploration, Fun, Hoverboard, Super, Goal, Cool, Pro, Free UGC
Last updated by the developer 26 Jul 2025, 08:03 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 We do not publish numbers we have not measured.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, 18:34 | 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.