Steam Spy returns with less accurate game stats

Earlier this month, Steam revamped its privacy settings to let users change how much of their game data can be publicly viewed. The company made player libraries, along with time played per title, hidden by default — which ended up locking out game industry stats site Steam Spy. Unable to access the data it needed, the site essentially shut down…but only temporarily. Now, Steam Spy is back up, but with a different method that produces less accurate statistics.

Instead of automatically scraping all Steam users’ data to see what games people are playing (and for how long), Steam Spy is slowly switching to a machine learning model. Using ‘coincidental data’ produced somewhat accurate results, the site’s creator Sergey Galyonkin said in a blog post: His algorithm predicted that the new game Frostpunk sold 252,000 copies, while its developers announced it had sold 250,000.

The new model isn’t very accurate yet, Galyonkin admitted: For 90 percent of the 70 games he tested, his algorithm was within 10 percent margin of error. But any data is better than no data to games companies, Galyonkin told Kotaku: “Analysts can work with data when they know it’s not entirely accurate as long as they are aware of the limitations and caveats.”

 

 

He’s still working to re-implement some old features like country stats, but Steam Spy is more or less back online.

Source: Steam Spy returns with less accurate game stats

Related articles

Acer Nitro 5 gaming laptop is almost perfect

Acer has certainly come a long way from being a second tier PC company, and the kind of hardware that they push out these days are impressive to say the least. The gaming laptop is a fiercely competitive market segment, and there is quite a number of players out there in the market who makes […]

Facebook has a new job posting calling for chip designers

Facebook has posted a job opening looking for an expert in ASIC and FPGA, two custom silicon designs that companies can gear toward specific use cases — particularly in machine learning and artificial intelligence. There’s been a lot of speculation in the valley as to what Facebook’s interpretation of custom silicon might be, especially as […]

Leave a Reply

Your email address will not be published. Required fields are marked *