PS gamesPSNXbox gamesXbox CCU

Track your playtime – even on PlayStation 4

Just add ps-timetracker15 as a friend on PSN, it will start tracking your time and send reports.

Add as friend to start tracking playtime Learn more on ps-timetracker.com

Bloody Zombies

PS4

PSN user rating: 70.8% (votes: 362)
Total player count
16,000
as of 19 November 2024
New players
+500
19 Oct – 19 Nov
Returning players
0

Archive as of 19 November 2020, no future updates

Total player count by date

Note: the chart is not accurate before 1 May 2018.
Download CSV
PS4


15,000 players (94%)
earned at least one trophy

~100% players
have other games besides Bloody Zombies on their account

174 games
the median number of games on accounts with Bloody Zombies

Popularity by region

Relative popularity
compared to other regions
Region's share
North America2x more popular42%
Central and South America4x less popular2%
Western and Northern Europe1.7x more popular42%
Eastern and Southern Europe2x more popular6%
Asia0%
Middle East6x less popular0.9%
Australia and New Zealand2x more popular5%

Popularity by country

Relative popularity
compared to other countries
Country's share
Finland2.5x more popular0.9%
Belgium1.6x more popular2%
Canada1.4x more popular7%
Russia1.4x more popular4%
Australia1.3x more popular4%
United Kingdom1.3x more popular14%
Germany1.2x more popular8%
New Zealandworldwide average0.9%
Polandworldwide average1.6%
Austriaworldwide average0.6%
Switzerlandworldwide average0.6%
Irelandworldwide average0.6%
France1.3x less popular7%
Sweden1.3x less popular0.6%
United States1.3x less popular35%
Italy1.4x less popular2.5%
Spain1.5x less popular3%
Brazil3x less popular1.3%
Netherlands3x less popular0.6%
Saudi Arabia3x less popular0.9%
Mexico4x less popular0.6%
Argentina6x less popular0.3%
Japan ~ 0%
Hong Kong ~ 0%
Chile ~ 0%
Portugal ~ 0%
Emirates ~ 0%
Turkey ~ 0%
Colombia ~ 0%
China ~ 0%
South Korea ~ 0%
The numbers on gamstat.com are not official, this website is not affiliated with Sony or Microsoft.
Every estimate is ±10% (and bigger for small values).
Please read how it worked and make sure you understand the meaning of data before you jump to conclusions.