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Visual data analysis of MSI 2016 damage statistics

Timbolt··2 votes·1,958 views
Visual data analysis of MSI 2016 damage statistics - League of Analytics

After posting my MSI 2016 stats visualization a few days ago, here is a little follow up. I thought this time that I would give a bit more insight into the thoughts behind my (visual) data analysis. I evaluate damage and damage taken in relation to gold income and try to figure out more about the trade-off between the two. I also look at 1 champion in particular as a little example. The article again includes a little interactive graph, where you can play around for yourself.

http://league-analytics.com/2016/05/12/visual-data-analysis-msi-2016-damage-statistics/

Hope you like it and please let me know what you think or if you have any questions.

2 Comments

Shikigami1 votes

Very cleanly organized. One question though, why didn't you average the data w.r.t. game time? If we wanted to objectively say : "Kalista doesn't do as much damage", this presentation method really doesn't show how exactly she ranks up versus her peers. Instead of multiple dots per champ just make it one?

Timbolt1 votes

The way I understand it you are talking about two different points. If not let me know, but I will answer them separately.

Game time: I did not include game time, because Damage% and Gold% are always 100% each for the team. So we have a measure that tells us how much damage (for example) they do compared to their teammates. And since very teammate obv. has the same game length, game time doesnt matter. Does this method have weaknesses? Definitely. I could have used damage per minute. But as I mention in my article, this has other problems, which make it difficult to compare champions. A fight heavy game for Kalista could mean a higher dpm than a 0 kills win for Ezreal, but that doesn't mean Kalista is in general better at dealing damage. When we use the Damage%/Gold% we at least take that factor out, because a fight heavy game means Kalista's teammates also had the chance to deal a lot of damage. And since she is compared to them, it is mostly taken out of the equation.

One dot vs multiple: Having more data points was important for me to see a more holistic picture. It also allows a more detailed understanding of the damage trade off. I wanted to see if there were any observations where, for example, a top laner dealt a lot of his team's damage while still taking a lot of damage in teamfights.

Hope this was helpful, if not, let me know :)

EDIT: I am not saying my approach is perfect or the right one, but I think that is okay as long as I tell you guys what it is that I am doing so you can say "maaan this makes no sense" if you disagree :).

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