Hey,
we created a new metric that captures significant gold swings within a game. Here is the post where I explain the statistic in more detail: http://league-analytics.com/2016/06/02/gold-shift-events-capturing-major-game-shifts/ We are looking for some feedback, so please let us know what you think.
Thanks, Timbolt
Erractic Eick2 votesWhy does this not have more up votes?
Angry Monster1 votesmeh to bland and general to be of any use. You have weird data points that are not telling the tell of end of the season. Both TSM and CLG broke IMT after the half way point of the season. The piece talks about the dominate 4th place team.
Also the best teams can win with lower gold totals which will mean less gold shift events over all. Starve strategies also should not show as a event either since it is lack of team fighting. Changes in patches and itemization or meta champions can effect game play styles which effect the numbers also.
Over all could be interesting in very specific views. games where upcoming opponent are compared to the same past recent opponent. EXAMPLE CLG and TSM are both going to be in finals but they both played a public match again IMT recently and could look for differences between those games.
My end view on this is that it could be used by analysis in very specific situations. Current pretension makes the information unusable and ruins the idea as a whole.
Timbolt1 votesFIrst of all, thanks for the feedback! I think you are focusing a bit too much on IMT, the piece does not focus on them, it just uses them in one paragraph to illustrate the metric.
It is true that there are a lot of things (like starving, slow play) that is not captured by this metric. But it is basically impossible to capture everything and what we wanted to do is measure all big events, where a team gains a significant amount of gold in a short time.
Once we have more data for the summer season, I think it can be very interesting to see how teams do in these events when they are behind or ahead. Here, it can tell us a lot about a teams capability of coming back into a game for example.
Overall I really don't understand how you think currently the information is unusable. Do you mean because the observations for the summer split are still limited? Because otherwise I don't see how it is useless now but can be useful at another point in time.
Angry Monster1 votesGoing back to IMT, it shows them as the most successful by your graph, but they finished 4 at the end of the split. The average of games is useless stat or IMT would of been first.
The end data only means something if it proves something. According to your stats being the best at land you in 4th place., ok but people want to know what makes a first place team (CLG). According to your model CLG is nothing special in this grpah they are pretty close to TSM and C9.
Where is the meaningful output? What does this really translate to? At best it proves that this gold events are not that important or that IMT over values them. It will not tell you why this is a flaw though
MeilinII1 votesThey were first at the end of the split and 3rd in playoffs. They were never fourth.
Angry Monster1 votesok they were 3rd one position off, liquid is still forever fourth
over all point still stands. They did not finish strong.
But the graph shows that the top 2 fishing teams TSM and CLG are around the 6th place C9 in data.