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Find The Teddy Bears

Find The Teddy Bears

A Roblox experience owned by brickington.

ObbyENcollectingteddy bearsexploration

Description (written by the developer; not a statement by this register)

hello YES I KNOW THERE ARE FREEMODELS, theyre just placeholders. credits polygoniz - icon, thumbnail blobert_fish - building niceskull309 - building, scripting, eating terrorban - doing silly things that i like 1.0

Last updated by the developer 2 Sept 2023, 06:11 UTC.

0
playing (measured 14 Aug 2026, 11:37 UTC)
321
lifetime visits
77%
liked (10 👍 / 3 👎)
5
favourites (15.6 per 1k visits)
17 May 2023
created (per Roblox)

Play on Roblox →

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 We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
14 Aug 2026, 11:370first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

generous donation
71 R$
donation
21 R$

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

fish bear · other50 · 0.00% win
basic teddy bear · collection50 · 0.00% win
rope bear · other39 · 0.00% win
apple bear · other38 · 0.00% win
cool bear · other36 · 0.00% win
science bear · other31 · 0.00% win
cow bear · other29 · 0.00% win
ice bear · other29 · 0.00% win
water bear · other28 · 0.00% win
light bear · other28 · 0.00% win
monkey bear · other27 · 0.00% win
wheat bear · other27 · 0.00% win
poster bear · other26 · 0.00% win
bed bear · other26 · 0.00% win
wood bear · secret26 · 0.00% win

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.