Well, that's interesting

Gigarumble is great at spotting how much bots rely on prey-on-the-weak strategies. The more they rely, the more they go down. And which bots follow more defensive/generalist strategies. They go up.

Best is Diamond 1.8.28 Because Of 100% PWIN

Well, while that is partly true, there is nothing stopping a bots that follow a more general strategy from preying-on-the-weak when the opportunity presents itself. They may just recognize that few of the robots it's facing are "weak".

My 'strategy' is to get out of the way and shoot from far, far away with peas fired by close-range gun. #12 in survival and that is the only positive thing ;-) I think most better bots have some sort of 'prey on the weak' strategy, firing at disabled bots and on bots with very little energy. I have the feeling that Gigarumble shows the distiction between bots with a fairly good movement/energyefficiency and a simple gun, and the ones with maybe a bit lesser movement, but a sophisticated gun. Ergo: the movement brings you in the top-30, the gun into top-10 of Gigarumble.

I'd disagree with "the movement brings you in the top-30, the gun into top-10 of Gigarumble".

I'd say targeting plays a huge role in getting into the top-30. A few of us with high ranking melee bots currently, started out developing our melee targeting using the movement from HawkOnFire. Between GlacialHawk and the current version of Glacier, I only managed to improve the movement by 1 APS worth, and well... HawkOnFire ranks 47 places below Glacier currently.

(1: Granted, HawkOnFire's movement is exceptionally well-tuned for a relatively simple low-codesize movement)

(2: Also, I'm pretty sure the 5 bots ranked higher than Glacier in the main MeleeRumble mostly outrank Glacier on the the basis of movement, rather than targeting)