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(NEW LIMITED) Limiteds Junkyard

(NEW LIMITED) Limiteds Junkyard

A Roblox experience owned by Robloway Capital.

OtherENlimited itemspredictiontrading

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

formly known as Limiteds RBLWCAP, the ORIGINAL Limiteds Prediction game ( and we dont lie) NEW CUSTOMIZABLE GRADIENT CLOTHING FOR R$ 36 (R$ 18 each, pants and shirt) the player in the server with the most seconds ingame gets a boombox Like game if this game helps you. :D (NO ITEMS ARE GUARANTEED TO GO LIMITED, UNLESS SPECIFIED INGAME)

Last updated by the developer 25 Mar 2024, 17:50 UTC.

0
playing (measured 11 Aug 2026, 07:52 UTC)
72,722
lifetime visits
80%
liked (495 👍 / 121 👎)
899
favourites (12.4 per 1k visits)
7 May 2022
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 We do not publish numbers we have not measured.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
11 Aug 2026, 07:520first reading

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

Badge funnel

Welcome · welcome8,636 · 0.00% win
Winter Section · progression4,932 · 0.00% win
High Chance Section · other4,514 · 0.00% win
New Year's Section · other4,247 · 0.00% win
American Section · other3,629 · 0.00% win
Christmas Section · other2,858 · 0.00% win
Normal Chance Section · other2,636 · 0.00% win
8-Bit Section · other2,498 · 0.00% win
Mid-Summer Section · other2,440 · 0.00% win
Canada Section · progression2,060 · 0.00% win
Sus Section · other1,943 · 0.00% win
Crown Section · other1,460 · 0.00% win
Hair Section · other1,432 · 0.00% win
Swordpack Section · other1,230 · 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.