APM?

That makes sense — pattern matchers do better when you have repeatable patterns, then some alias (e.g. small k size) in surfing stats helps. But yes, low repeatability in surfing stats ought to be the main point. I’ve been tuning against RaikoMicro too much, which, each time makes me create more repeatable (but exploiting) patterns. However, this gain simply makes me exploitable against PMs & top guns. 

Another important thing may be the smoothing function. I’ve been using gaussian, with very low bandwidth (actual only 1.5x bot width), which makes my surfing stats pretty local (not affected by dangers far away, or even near), then when some stats are not fast changing (since I have a bunch of persistent stats), there could be even more repeatable patterns. Doh! 

My past experiments told me the same story, but again I preferred gaussian for too precise bullet dodging, and then lose to anything else. 

Then I got why the 1nn movement does pretty well agaisnt top guns — it aliases heavily, and replaces the nearest neighbor each time new data comes in. And it uses 1 / x^2 as well.