Given all the other variables that introduce a bunch of noise to the player movement data, I doubt you could ever determine any useful predictive pattern.

If anything though, I could see how player behavior of match winners could be used to both identify varying level of cheaters and players that use various methods for providing an advantage (i.e., keyboard mouse, joystick extensions, etc) and automatically sequester or even handicap their accounts.

It appears to me that so much effort is placed on trying to identify and hamper cheaters in real time, when that both seems extremely resource intensive and unnecessary, considering you have all the digital evidence proof of cheating you need after the fact, you just have to understand what you are looking at.