Onlineg45dx9Taiwan
Taiwan
FatBear胖海熊 RPGaming v2.11 部門職階更新！菁英副本上線！
FiveM新體驗 | 全新職業道具與能力 / 轉職限制已放寬
RPGaming
中文台灣香港澳門馬來西亞rpgamingrpgesx
65/ 1,024
Live players
7-day peak
112
All-time peak
126
Last seen
Oct 19, 2026, 09:55 PM
Votes
0
Rating
—
How busy is FatBear胖海熊 RPGaming v2.11 部門職階更新！菁英副本上線！?
We count the players on this server every five minutes and keep the history.
- Busiest hours
- 09:00–18:00 UTC
- Usual players when active
- 75
- Peak this week
- 112 of 1,024 · 11% full
- Rank by peak players
- Top 2%
- Framework
- ESX
- Resources
- 840
FatBear胖海熊 RPGaming v2.11 部門職階更新！菁英副本上線！ is busy for most of the day rather than one evening: it stays above its 76-player daily average for 9 straight hours, 09:00–18:00 UTC, averaging 90 across that stretch and peaking at 14:00 UTC with 97. Its longest quiet stretch is 20:00–05:00 UTC, averaging 63 players — thin by its own standards, but still a running city rather than an empty one.
Its 1,024 slots are far more than it uses: when anyone is on it, it averages 75 players, and the busiest single moment of the week reached only 112 — 11% of capacity. Day to day it barely moves: across those 7 days its daily averages stay within 14% of each other, so this is a settled population rather than a spike.
That puts FatBear胖海熊 RPGaming v2.11 部門職階更新！菁英副本上線！ ahead of 98% of the 42,434 FiveM servers ViceHub tracked consistently this week, ranked on peak concurrent players. That is measured from our own five-minute checks, not from anything the server claims about itself.
Under the hood FatBear胖海熊 RPGaming v2.11 部門職階更新！菁英副本上線！ runs ESX with 840 resources loaded — a heavy build, using pma-voice for voice.
Daily player counts, last 7 days
One row per full day (UTC). Average counts every check taken that day, including the ones that found nobody online.
| Day | Peak | Average |
|---|---|---|
| Sun 18 Oct | 112 | 82 |
| Sat 17 Oct | 101 | 76 |
| Fri 16 Oct | 102 | 76 |
| Thu 15 Oct | 96 | 73 |
| Wed 14 Oct | 95 | 75 |
| Tue 13 Oct | 103 | 75 |
| Mon 12 Oct | 101 | 71 |
We do not publish an uptime figure. When a check finds nobody online, we cannot tell an empty server apart from one that was switched off — so any percentage would be a guess. How we measure this.