Training a Rainbow Six Siege Operator Detector – Michael Sugimura – Medium

I play on a team with some friends in the tactical shooter Rainbow Six Siege,we make strategies, practice them, dissect our games, and track metrics. While not the most mechanically skilled, we make up for it with good preparation and can do fairly well against more skilled opponents because of it. Since we place such a high premium on our analysis the data scientist in me has been wondering was, "what if we could use deep learning to automate some of our stat generation?" In particular an interesting metric to try and build out is the "engagement preparedness" metric that we look at, basically saying how good are we about having our crosshairs pointed at the correct location when an enemy appears, which maximizes our chances of winning that engagement. Based on the team's communications, if we are communicating well, more often than not we should be ready and aiming at the correct location when an enemy appears.