Bee Training 🐝
A Roblox experience owned by Steb Games.
RacingENRacingPet CollectionCode Redemption
Bee Training 🐝 is a racing experience created on 2025-03-12. It has recorded 1,499,200 lifetime visits and 92,893 favorites. The game holds a 93% like percentage. Currently, zero players are active. The description highlights mechanics involving wins, energy, and bee training within a racing genre framework.
Description (written by the developer; not a statement by this register)
🎁 Use Code "release" For 500 Wins and 500 Energy! (Redeem In Shop!) 🎁 Use Code "100k" For 1K Wins, 1K Energy And Potions! (Redeem In Shop!) Welcome To Bee Training🐝! 🏁Race to gain Wins! 🐝Buy OP BEES with Wins! 📌Train with your bee to gain energy to go faster! 🥚Hatch Rare OP Pets to gain more Energy and Win! 🐝Complete the mission and win op Energy! 🌐Play ans Dominate the leaderboards! ❤️ Join the group for group rewards! 😎 Premium Benefits: +10% Wins! ✨ Have fun, and Thanks for Playing! If you enjoy the game, don't forget to 👍 Like, ⭐ Favorite and 🔔 Follow! Tags: Race, Power, Training, Friends, Fun, Speed, Fast, Obby, Bee, Train, Fire, Bees, Night, Bee Training, Adventure
Last updated by the developer 29 May 2026, 12:59 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 We do not publish numbers we have not measured.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, 17:50 | 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.