PS gamesPSNXbox gamesXbox CCU

Track your playtime – even on PlayStation 4

Just add ps-timetracker12 as a friend on PSN, it will start tracking your time and send it to you daily. As simple as that.

Add as friend to start tracking playtime Learn more on

Heart & Slash


PSN user rating: 81.3% (votes: 275)
Total player count
as of 19 November 2020
New players
19 Oct – 19 Nov
Returning players
Returning players who have earned at least one trophy in the last month.

Archive as of 19 November 2020

Total player count by date

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

13,000 players (79%)
earned at least one trophy

~100% players
have other games besides Heart & Slash on their account

131 games
the median number of games on accounts with Heart & Slash

Popularity by region

Relative popularity
compared to other regions
Region's share
North America1.9x more popular34%
Central and South America5x less popular0.6%
Western and Northern Europeworldwide average23%
Eastern and Southern Europe1.7x less popular1.2%
Asia5x more popular28%
Middle Eastworldwide average1.8%
Australia and New Zealand2.5x more popular7%

Popularity by country

Relative popularity
compared to other countries
Country's share
South Korea3x more popular1.8%
Hong Kong2.5x more popular7%
Japan2.5x more popular18%
Taiwan2.5x more popular1.2%
Australia2.5x more popular7%
Emirates1.2x more popular1.5%
Spain1.2x more popular5%
Canadaworldwide average4%
Irelandworldwide average0.6%
Germany1.2x less popular5%
United States1.3x less popular30%
China1.4x less popular0.9%
France1.6x less popular5%
United Kingdom1.8x less popular5%
Netherlands3x less popular0.6%
Russia3x less popular0.9%
Chile3x less popular0.3%
Belgium4x less popular0.3%
Poland5x less popular0.3%
Italy5x less popular0.6%
Saudi Arabia9x less popular0.3%
Brazil12x less popular0.3%
Mexico ~ 0%
Argentina ~ 0%
Portugal ~ 0%
Sweden ~ 0%
Turkey ~ 0%
New Zealand ~ 0%
The numbers on 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.