Predicting Death in DOTA 2
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Game Analytics: Making Sense of Data
These days most game companies adopt some form of analytics: a process whereby data is collected on how well the game performs as well as how players behave within it. These data are processed and analyzed, and results serve to inform decision making and business processes across companies. Game Analytics is what allows major commercial…
Rapid Retention Prediction in Mobile Games
Here we introduce the idea of using heuristics models in predictive mobile game analytics. Heuristics models are simple rules-sets that we construct based on machine learning-driven analysis, but which once developed can be fielded inside a game client. Heuristics models thus address part of the problem of enabling small companies to access frugal but effective prediction models…
The Playtime Principle: Mining 5 Billion Hours of Play on Steam
5 billion hours of play. 6 million players. 3000 games on Steam. 1 distribution model that explains how time spent playing games on Steam rises and falls – as a function of time. This has powerful implications: if playtime follows a specific distribution, we can predict it. This post was written by Anders Drachen, Rafet…
Fun Facts about World of Warcraft Character Names
Sometimes as a game analyst, you get to run analyses that do not have an immediately useful application, but which are just fun (yes, data analysis can be fun). Such exercises sometimes begin when people get together socially after a long day and start speculating. This was also the case when one day, a bit…
Game Analytics Resources 