Home, Hearth & Heroes
My Builds My Blog My Tiers My Concepts
January 8th, 2019 Patch - 48 Hours Later
48 Hours Later
(banner courtesy of /u/Somber99)

View the previous post on HeroesHearth here.
View all of my previous blog posts here.

Hello again!  After each balance patch, I've taken it upon myself to track how the balance changes have affected the Nexus.  It's become something of a habit for me, and I thought it might be fun to share my data with the community.

In case you've forgotten what changed in the last patch, here's a link.

Disclaimer (please read!):
All data provided in this post was collected from Hotslogs, which is a database of player-submitted games.  Data was collected between 3:30 PM and 4:30 PM EST each day, using the special filter "Last 7 Days (Current Build)".  This post is not meant to suggest any immediate balance changes. Because the sheet only covers 48 hours of matches as of the time of this post, the data is very likely to be unreliable in some cases and may change as the week progresses. I will be giving an update on the status of these heroes after one week has passed. If you'd like to wait until then, feel free to do so. The only purpose of this post is to provide initial information about how the changes have affected things, so that people who are interested in that sort of thing have a resource to look at.

Here is a link to the spreadsheet with the data I've collected.  The spreadsheet contains all of my original data, split into two categories: "Composite" (which represents all data across the entire week) and "Daily" (which represents data from each individual day).  If you'd prefer a summarized report, read on!

Here is a table showing the win rates, pick rates, ban rates, and overall popularity of each hero in Hero League and Team League:

Remember, only the heroes whose win rates are highlighted blue/orange with white text have exceeded their margin of error.  Heroes which do not exceed the margin of error are considered to have too little data to confirm that they have changed in any significant way.  Note that the error column assumes a 95% confidence interval.  To put it simply, a 95% confidence interval is a numerical way to measure whether the win rate has changed in any significant way.  If the change to a win rate exceeds the error, then we can assume that there is approximately a 95% chance that repeated tests would confirm the true value lies within the bounds of the confidence interval.

The seven-day analysis will take place on January 15th.

Looking for more of my work?  My last article discusses concerns about snowballing and the "passive meta" that the new changes may bring if not handled properly.  That article is located here.  Feel free to let me know your thoughts to this article in the comments section below, or on Twitter at my handle @CriticKitten.  I look forward to your replies!

Hope to see you again next time!
There are no comments for this post.