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

MeiQ: Labyrinth of Death

PS Vita
Total player count
27,000
as of 19 November 2020
New players
+0
19 Oct – 19 Nov
Returning players
300
Returning players who have earned at least one trophy in the last month.

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
PS Vita


22,000 players (83%)
earned at least one trophy

~100% players
have other games besides MeiQ: Labyrinth of Death on their account

142 games
the median number of games on accounts with MeiQ: Labyrinth of Death

Popularity by region

Relative popularity
compared to other regions
Region's share
North America1.6x more popular25%
Central and South America7x less popular0.7%
Western and Northern Europe1.7x less popular10%
Eastern and Southern Europe4x less popular0.2%
Asia2.5x more popular59%
Middle East1.4x more popular0.9%
Australia and New Zealand1.8x more popular1.3%

Popularity by country

Relative popularity
compared to other countries
Country's share
South Korea5x more popular3%
Japan2x more popular50%
Singapore1.6x more popular0.6%
Taiwan1.6x more popular1.1%
Saudi Arabia1.4x more popular0.7%
Canada1.2x more popular3%
Hong Kong1.2x more popular5%
Australia1.2x more popular1.3%
United Statesworldwide average23%
United Kingdom1.2x less popular6%
Germany1.3x less popular1.8%
Netherlands1.3x less popular0.4%
Emirates2.5x less popular0.2%
Poland3x less popular0.2%
Brazil4x less popular0.4%
France4x less popular1.7%
Belgium4x less popular0.2%
Italy5x less popular0.4%
Mexico10x less popular0.4%
Spain11x less popular0.4%
Russia ~ 0%
Chile ~ 0%
Portugal ~ 0%
Colombia ~ 0%
China ~ 0%
Malaysia ~ 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.