Taking your own movement into account when targeting?

What I came up with is, instead of scaling bearing offset arithmetically on GuessFactors and some form of MEA, we run some simulation taking walls and our own movement into account, then treat GuessFactor as the ratio of time of the simulation it will reach, e.g. 1.0 as running constantly, and 0.5 as it stops after half of the simulation time. Then 0.0 would be it hits the brakes immediately.

With this approach, GuessFactors could be treated closer as "run time after bullet fire", rather than just some "guess". We've been already using precise MEAs to better simulate this behavior, but imo we could go even further.