On January 06 2015 12:22 GolemMadness wrote: Is 17-0-13 the best mastery page for Eve these days? Is 21/9 even viable? I want to try bringing back some Eve.
Depends, how all in do you want to go on a the success of a lvl 3 gank?
On January 06 2015 12:22 GolemMadness wrote: Is 17-0-13 the best mastery page for Eve these days? Is 21/9 even viable? I want to try bringing back some Eve.
Depends, how all in do you want to go on a the success of a lvl 3 gank?
Clustering champions into groups using hierarchical clustering based on champion usage data. The champions in the same group have higher correlation on their usage (i.e. champions in the same group are more likely to be played by the same player).
For example the bottom group (Group 4) has most of the ADC champions. This makes sense, since there are probably many "ADC mains" who plays a lot of ADC (thus high correlation for ADC champion usage) and very little everything else.
NOTE: I added the horizontal black lines manually for easier reading. I am pretty sure it's not possible to sketch those using off the shelf methods. Here's a version without the black lines.
Interesting. Since its hard to look at the picture and see which champions are which does it give us any interesting insight into how champions use is correlated? For instance are there types of AD's and types of mids with any reliability?
Thanks for collecting and organizing the data. I'm afraid that I'm not familiar with the methodology - does each branch of the tree on the left side of the graph correspond to an equally large correlation? In other words, what's the relationship between champions in sets {2,4,6} and {1,3,5,7}?
I'd be interested to know if there are any champs that are "go-to" for people forced to play a role that's not their main. Conventional wisdom is that you play something like Caitlyn or Ziggs, is there any way to test that?
I too am interested in the method since after reading the description I don't quite understand how to apply it to correlations. But I can answer the tree question.
In a heiraechical cluster groups are formed in pairwise based on distance*. Those groups (and any odd ones out) are then grouped pairwise again based on distance. This is repeated until there is only one group at the top. The lines on the side are a visual representation of that process. The graph is organized in a way to make the roots obvious (ie no crossing lines) which also has the nice effect of clustering the high correlations around the diagonal.
On January 06 2015 15:41 ShaLLoW[baY] wrote: does anyone else think reksai top is just absolutely broken?
I don't think there is a single champion who wins trades with reksai top, perhaps some ranged champs if they are able to trade without taking damage, but hardly. The only consolidation is that around lvl 12-13 if she did not rekt to oblivion, many top laners catch up with her since she has only one damage ability.
On January 06 2015 17:25 zer0das wrote: Dunno, I played against Rek'sai as Jax and it kinda sucked around 6-8, but once I got over the hump I just mashed her face. Granted its Jax...
This is her only weakness, she does not do much more after lvl 9, leveling W/E/R do not add a lot for Reksai
i just played a game with a player on my team who instalocked tp/revive soraka and ran into enemy zed three times in a row at level 1, first time i've ever seen this level of trolling and douchebaggery (gold 4 ranked, he was gold 2)
and now i go back into queue and he's on my team again but picks fiora flash ignite, why would you be such a cunt for one game and then play properly? assuming he isn't about to troll again
On January 06 2015 15:44 MidnightGladius wrote: Thanks for collecting and organizing the data. I'm afraid that I'm not familiar with the methodology - does each branch of the tree on the left side of the graph correspond to an equally large correlation? In other words, what's the relationship between champions in sets {2,4,6} and {1,3,5,7}?
I'd be interested to know if there are any champs that are "go-to" for people forced to play a role that's not their main. Conventional wisdom is that you play something like Caitlyn or Ziggs, is there any way to test that?
My bad. The heatmap itself is just a giant correlation matrix. This is why the diagonals are red... since the diagonals = 1. The groups often show up as white-ish due to 0.4ish correlation.
As for "go-to champion"... maybe? I need to capture people who are a certain kind of "main" (say 50% of the game played is adc) then look for what else they play.
http://www.surrenderat20.net/2015/01/15-pbe-update.html For what I understand you can swap (tier 2) jungle items for free now. Need sustain go purple, need to gank take blue :-) looks a little weird to me. And finally Sona nerf, this overwhelming high mobility, high health, high outplay potential and no flash team fight dependent monster has been nerfed...
On January 06 2015 22:09 M2 wrote: http://www.surrenderat20.net/2015/01/15-pbe-update.html For what I understand you can swap (tier 2) jungle items for free now. Need sustain go purple, need to gank take blue :-) looks a little weird to me. And finally Sona nerf, this overwhelming high mobility, high health, high outplay potential and no flash team fight dependent monster has been nerfed...
noo, nee-chan! What did they do to your face.. t.t