OnlineAllowlistpggabm5France
France
Banlieu13 RP | Marseille
Marseille RolePlay FR ➔ Serveur serieux ➔ Entreprises & groupes a reprendre ➔ Custom cars & drugs ➔ discord.gg/b13rp
ESX Legacy
roleplaymarseillerpfrqcblgrp strictcustom carscustomdrugsreallifeseriousdiscordeconomyserious rpseriousrpesx
34/ 100
Live players
7-day peak
38
All-time peak
38
Last seen
Jul 21, 2026, 09:25 PM
Votes
0
Rating
—
Rejoindre http://discord.gg/b13rp pour la whitelist.
How busy is Banlieu13 RP | Marseille?
We count the players on this server every five minutes and keep the history.
- Busiest hours
- 14:00–02:00 UTC
- Usual players when active
- 12
- Peak (5 days)
- 38 of 100 · 38% full
- Rank by peak players
- Top 5%
- Framework
- ESX
- Resources
- 194
Banlieu13 RP | Marseille is busy for most of the day rather than one evening: it stays above its 12-player daily average for 12 straight hours, 14:00–02:00 UTC, averaging 21 across that stretch and peaking at 23:00 UTC with 30. Outside it the city empties: across 02:00–14:00 UTC it averages just 4 players, bottoming out at 05:00 UTC on 0, so an off-peak login means an all-but-empty server.
You can walk straight in: when anyone is on it, it averages 12 players against 100 slots (12% full), and even its busiest moment of the week, 38 players, left 62% of the server free.
That puts Banlieu13 RP | Marseille ahead of 95% of the 42,461 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 Banlieu13 RP | Marseille runs ESX with 194 resources loaded — a substantial build, using pma-voice for voice and ox_inventory for inventory.
Daily player counts, last 5 days
One row per full day (UTC). Average counts every check taken that day, including the ones that found nobody online.
| Day | Peak | Average |
|---|---|---|
| Mon 20 Jul | 27 | 7 |
| Sun 19 Jul | 36 | 14 |
| Sat 18 Jul | 38 | 14 |
| Fri 17 Jul | 37 | 13 |
| Thu 16 Jul | 32 | 14 |
We do not publish an uptime figure.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.