Project ORB: A superb predictive scouting system!

[TomAwezome]

Howdy!! I'm Tom, Wired Wizards' Alpha Team leader (Robot Code), and I as well have been doing the vast majority of the back end for ORB.

Originally Posted by kinganu123

How is the data represented for the neural network? I was thinking about this the other day, and wasn't too sure how you'd account for individual teams without essentially combining the teams' stats into one "super team" (for a lack of a better phrase).

The data from the neural networks is saved into a database into tables for goals, defenses, challenge, and scale; goals has 4 values (autolow, autohigh, teleoplow, teleophigh), defenses has 9 values (0-8, 0:lowbar, 1ortcullis, 2:cdf, 3:moat, 4:ramparts, 5:drawbridge, 6:sallyport, 7:rockwall, 8:roughterrain), scale and challenge each have 1 value for their respective percentage. The goals values are representative of the quantity of goals, defenses representative of 0-2 crossings (as that is all TBA has per match), scale and challenge as mentioned are stored as a value between 0-1, a decimal percent. As each match is a combination of 3 teams per alliance, pulling the data gives you an idea of how they perform, but of course it is just a showing of how the alliance performs! The magic happens as the networks for each team analyze all of their different combinations, and finds the trends inside the dataset that would indicate the team it's training for. Good question!