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MSI Group Stage Stats Visualization

Timbolt··9 votes·1,368 views
League of Analytics

I created a little visualization of some MSI 2016 stats. Let me know what you think.

http://league-analytics.com/msi-statistics-visualization/

EDIT: As promised in the comments, I followed up this visualization with a more thorough analysis and documentation. I decided to limit the statistics I want to look and instead give a more detailed insight into the analysis. If you are interested, here it is: http://league-analytics.com/2016/05/12/visual-data-analysis-msi-2016-damage-statistics/

8 Comments

LuxannaVeritas2 votes

Nice visualization! Thank you for uploading this!

Stixxay's stats are very impressive. He's leading the whole tournament in kills, and in three of the games he played he has had the most of his team's gold share. Rock on, Stixxay!

It's also interesting to note that the bottom two teams focused less on vision than the top four teams. The junglers on the bottom two teams also had the most deaths out of the junglers. Seems like a good lesson to all summoners out there; ward the river, and protect your jungler!

Another interesting trend I found was that for the most part (except for Kikis), most of the top laners had few deaths. Kikis had the most deaths with 32, but the top laner with the second highest deaths is Darshan, and he's only at 20.

Maple, Duke, and mlxg only had 14 deaths in the group stages. Curious as I am, I checked out what champions they played to see if there are connections. And, of course, there's Ekko. If we do not include the game Duke played on Ekko that he lost (in which he died 4 times), Duke would only have 1 death with Ekko. Surprisingly, though, Ekko only has a 42.3% win rate in the group stage. I'll need to do some more research to find out what teams did to shut down Ekko, but this post is already getting too long... O.o

Sorry for the long reply; I just love statistics! [slayer-jinx-wink]

MeilinII1 votes

Most of the teams didn't shut down Ekko. He just got outscaled in late game teamfights by Poppy and Maokai. Ekko is great at avoiding death with his ult and passive, but he can't be the massive frontline of the tree or the yordle with a hammer. Ekko only wins in fast games, the longer the game goes the more likely Poppy is to squish him.

Timbolt2 votes

Hahah thanks for the long reply. I want to do a write-up of the stats and now you did part of the work for me :). Really glad you like it. I am still learning to make cool vizzes and I ll try to do more of this stuff.

LuxannaVeritas2 votes

No problem! Good luck on the write-up!

TBakes2 votes

I saw a couple of interesting things highlighted in these data:

 Stormaged looks like a huge weakness of SuperMassive. I already thought this while watching the games, but the data just reinforces it. 
 xiaohu seems to be the main separation between RNG and the rest of the field. His stats are really impressive, from K-D to dmg% vs. gold%. 
 Stixxay is carrying CLG pretty hard based on some of his stats. 

What made you decide to show the dmg%/gold% separated by games instead of an average over all games? When I was first looking at the graph I noticed the really great marks from HuHi, xiaohu, and NL towards the upper-center (the dark red points), but when I hovered I noticed it was actually much more scattered over the 5 games. It was kind of difficult for me to judge each player overall after that. Was there a reason you decided to present the information that way? (Not criticizing, just curious)

A random analysis idea I had during the games was to see if there is a correlation between having an "X" in the pro's name and having a higher K-D. Some of the top performers, in my opinion, are xiaohu, mlxg, and Stixxay. Sort of a strange connection there!

EXasinez3 votes

I was thinking about changing my in-game name...but never mind

Timbolt2 votes

I love how you guys find interesting stuff in the data i provided :)

About the dmg%/gold%: I wanted to create something where people can try to explore the data a bit more. In this case it makes it harder to judge a player (because you have 10 points per player) and find a player, but it also gives a better overview over the correlation between the two measures. I was hoping that seeing all player points in comparison to the other points would be enough to see a general trend for that player. I hope each point having a color assigned to it instead of each player is not too confusing. The best way would probably be to have this graph + another one where you only see player averages. Thanks a lot for your feedback!

And I would add Xmithie to your "X"-list :). I think he is having a pretty decent showing, especially considering CLG's success.

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