仕分け icon

仕分け

by NTL331Server size: 50Created Mar 1, 2026Game updated Sep 6, 2026
Play on Roblox
Latest player count
0
— vs prior 24h
24h peak
0
avg 0
7-day peak
0
avg 0
30-day peak
0
avg 0
Observed peak
0
since tracking began
Since Sep 28, 2026
Global rank
—
no players in latest sample

Player count history

仕分け — concurrent players
仕分け — concurrent players00

Player counts by period

PeriodAveragePeakChange
Last 24 hours00—
Last 7 days00—
Last 30 days00—
Since Sep 28, 2026—01 day tracked

Growth

Metric24h7d30d
Visits gained+0+0+0
Favorites gained+0+0+0
Likes gained+088.9% positive overall
Dislikes gained+08 👍 · 1 👎
Totals545 visits · 4 favorites

Rankings

Live players—
24h peak—
Observed peak—
Total visits#18,708
Favorites#19,489

Records

Highest recorded CCU0
Best day for visitsnot enough data yet
24h low0
Tracked sinceSep 28, 2026
Days with recorded data1 day of history

Estimated developer earnings

Revenue estimates appear once player data has been collected.

Visits history

仕分け — total visits
仕分け — total visits545545

Compare 仕分け

Side-by-side player counts, peaks and growth against games of a similar size:

Frequently asked questions

How many people are playing 仕分け right now?

仕分け's latest recorded count is 0 concurrent players on Roblox, sampled at 2026-09-28 16:50 UTC.

What is 仕分け's highest recorded player count?

RoVitals began tracking 仕分け on September 28, 2026; the highest count sampled since then is 0; earlier peaks and peaks between samples may be higher.

How many visits does 仕分け have?

仕分け has been played 545 times in total.

Description from Roblox, by NTL331

事業仕分けすんな

More by NTL331

GamePlaying24h peakVisitsRating
Ride the train to Cactus iconRide the train to Cactus13124929.3M58%
Tram Drive Simulator[Shibasagi Tramway] iconTram Drive Simulator[Shibasagi Tramway]4171.8M81%
Look at SL iconLook at SL007.9K85%
NTL331's Monorail Place iconNTL331's Monorail Place0211.8M72%
Breathing out iconBreathing out0041—
NTL交通展示館 iconNTL交通展示館003.3K97%

Games of a similar size

History since Sep 28, 2026. Data methodology.