People like to buy games and play games Steam, but anyone interested in actually poking around the site (like us, it’s our job) wants to know two things: which games are selling the most and which games are being played the most.
Valve’s new Steam Charts page brings all of that together in one place and makes the whole process a lot more enjoyable while you’re at it. A statement from the company states:
Today we’re launching Steam Charts, a new section of Steam dedicated to showcasing the most played and best selling games on Steam. Including numbers in real time.
The Steam Charts page replaces Steam Stats as a one-stop view of what’s popular on Steam, whether in real-time, by week, or even by month. Steam Charts also collects more detailed numbers to provide a more complete picture of which games are delighting players.
It’s basically a single page that has all the popular dates you want to know (aside from the actual number of units sold, which lol looks like Valve will ever release that), with the page containing the number of people precedes that are currently available online.
It then shows the five best selling games and the five most played games, with the ability to quickly expand these charts to show the top 100 in both areas. Then there are weekly top sellers, top new releases, and quick links to other useful Steam-related data pages like Valve’s hardware survey results – always interesting for their GPU market breakdown, not least – and download stats.
G/O Media may receive a commission
$10 or more
Humble Bundle – Starlight Bundle
Support the Starlight Children’s Foundation
For $10 or more, you can help hospitalized kids gain access to video games — and get yourself some cute games, including Lego Star Wars – The Complete Saga.
To put it bluntly, very little of it is Newalthough I think the “live” sales charts have some welcome additions, how many weeks the game has been in the charts and how many places it has moved up or down in the last week. Overall, this is just a welcome refresh on how the data is presented.
Data nerds can try it here.
