Entropy Gain for per-receptor NPS

[xXOpkillerXx]

I'm currently working on adding a few more metrics to the extended statistics of every files, with the help of PrawnSkunk to validate and integrate those to the website. I'm reaching out to everyone who has some knowledge in machine learning and maths.

The first stats I finished coding are the NPS (split just like the current total nps by different timeframes like .3s, .5s, 1s, 2s, etc.) for individual receptors (left, down, up, right). My intuition is that a 4 NPS section like [1,2,3,4] vs [1,1,1,1] have absolutely different difficulties, the latter being much more difficult. So, do you think that those + the total NPS would give a significant entropy gain (or any equivalent depending on the model) in computing the difficulties of the files ?

Any ideas/questions appreciated.