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What is SpyParty?
SpyParty is a spy game about human behavior, performance, perception, and deception. While most espionage games have you spend your time shooting stuff, blowing stuff up, and driving fast, SpyParty has you hide in plain sight, deceive your opponent, and detect subtle behavioral tells to achieve your objectives.
Unlike the suave and confident spies you might find in films or books, most spies in spy games are more like super powered commandos--more Rambo than James Bond. By contrast, SpyParty is a new and quite different game about the more interesting and deeper aspects of being a spy.
One of the advantages of a protracted development cycle is that the game accumulates an impressive historical record. SpyParty’s competitive history is rich for any game, and for a game still in Early Access, it’s practically unheard of. With that in mind, I’ve made an attempt to identify and describe the greatest competitive matches in the game’s history.
Casting has always been a big part of the SpyParty scene, particularly from 2018 onward when the game became available on Steam just as SCL Season 4 began. From those matches and other tournaments the same year, the community produced over 100 hours of competitive SpyParty content. In 2019 we roughly doubled it, and added another 150 hours (plus countless casual competitive streams) in 2020. Add it all up and you’ve quite an archive, so we decided to do something with it:
Introducing 24/007, a Twitch channel that continually streams competitive SpyParty matches. The channel, which picks the next VOD randomly, is launching with over 400 videos and about two weeks of run time. Most VODs have had their host and casters logged, along with a related match page so you can easily download the associated replays. Continue reading
The first Hidden Cup tournament has concluded, and the champion was Lazybear, who defeated Pofke in the finals in an exciting match that was neck and neck until the end. Continue reading
Several of the most significant leaps forward in data collection in this release were made possible by TripleAgent, the OCR-based replay timeline parsing method developed by Calvin Schoolidge. A huge thanks to Calvin for his tireless and generous work. Here’s some of the new things you can do: