I put together some Worlds summary stats and thought I'd share them here.
Win rate by first blood / tower / dragon / baron / inhibitor
Read more External link →I put together some Worlds summary stats and thought I'd share them here.
Win rate by first blood / tower / dragon / baron / inhibitor
Read more External link →Hey redditors,
with a few weeks left before the 2016 World Championship, we put together some statistics to help compare the different regions. Unfortunately, we only have access to EU, NA, LCK & LMS data, so that is all we will provide. We separated the stats into two categories:
Overall Region Stats: There are two types of calculations, average objective timings and everything else. Average objective timings are calculated per game only, meaning First Dragon (or Baron, Tower, etc.) Timing tells you at what point, on average, the first dragon was killed (by either team) in that region. All other stats are calculated on a per team & per game basis. Examples: "During the regular season, First Blood was drawn, on average, at 7.24 minutes in the EU LCS." and for non-timing stats: "During the regular season, EU LCS teams averaged 0.32 Kills per Minute."
Position Specific Stats: They further separate the regions into the 5 roles ...
Read more External link →After seeing the 90%/50%/10% thread on the front page, I thought it would be fun to do something similar.
Ask a "What is more likely A or B" type of question and see what people think.
Example:
What is more likely, no EU team making it out of groups or no NA team?
I 'll say no NA team, despite thinking they are stronger overall. Their best teams are in tough groups and EU's 1st seed is grouped with NA's 3rd. Also H2k has a fairly easy group.
External link →Now that teams will start playing on 6.15 and lane swaps will be a thing of the past / a lot less common, I thought I'd post the lane swap statistics for all NA, EU, LCK and LMS teams (no LPL data available). The data is from League of Analytics. We generated lane swap statistics in a way that we think captures at least 95% of all swaps correctly. If you want to know how we did it you can read about it here.
I think the best use for the stats might be to see which of the two teams facing off in a playoff match profits more from standard lanes. The stats below include patch 6.15 games for the last week o...
Read more External link →After my EU & NA LCS player stats summary post (link) got positive feedback, I thought I'd do the same for team stats. generated the stats myself and you can find many of them on League of Analytics. If you have any questions regarding the stats here, let me know. Here they are:
EU | NA | |
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Highest Avg. Game Time | Origen – 40:55 | Team Envy - 37:57 |
Lowest Avg. Game Time | Unicorns of Love – 34:34 | Team SoloMid - 32:11 |
Most Kills | ...
Now that the summer split regular season is over, I put together an EU and NA stats summary for my website League of Analytics and thought I would also post it here, for those who are interested. For now, I only went over player statistics and listed the best (and worst where appropriate) ones. I calculated all stats myself and a lot of them are posted on the website's stats section. New to reddit table formatting, I hope the following looks okay:
EU | NA | |
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Earliest First Blood: | 49 seconds, Amazing kills Steve: ... |
Hi everyone,
we thought it would be helpful to have a few more advanced stats on League’s professional scene. So we created our own stats-hub that includes conventional as well as new metrics for the LCK, EU LCS, and NA LCS. This includes individual and team metrics. So if you like data and stats, check out our Stats Hub and comment if you need help or want to help us improve.
External link →