LoyceV made a topic there: A wave of bans: 400 yesterday, 300 the day before. What changed?, from which I took data for my topic.
By now, LoyceV updated data in that topic on daily basis, so I think that my topic will be updated on daily basis too. However, in the future, it will depends on data updates in LoyceV's topic.

I will do two things:
- Observe banned users during the banwave, sorted them by ranks.
- Compare statistics of the before and after period of the banwave (the chosen cutoff day is 11/5/2019)

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Summary:
- The higher ranks users are, the lower cases of Autobans as well as lower proportional percentages of each ranks per total Autobans.
- The average of Autobans per day of the after period is 1.97-times higher than the figure of before period. Cutoff day between two periods is the 11/5/2019.

Tables:

All ranks
For all ranks, there are 2170 Autobans from 11/5/2019 to 20/5/2019 (10 days). By ranks, Brand New/ Newbie, Jr. Member + Member are the top two groups that accounts for 54.9%, and 30.2% of total Autobans, respectively.
Full Member and Senior Member ranks account for 6.7% and 4.1% of total Autobans. The rest three groups, Hero Member, Copper Member and Legendary accounts for 1.9%, 1.3% and 0.9% of total Autobans.
Among all ranks, Legendary and Hero Member are the two lowest groups (excluding Copper Member), with 20 and 41 Autobans for each rank, respectively.

Brand new and Newbie excluded
For ranks from Junior Members and above, excluding Brand New and Newbie ranks, there are 979 total Autobans. Among those cases, Junior Member + Member, Full Member account for 655 (66.9%), 145 (14.8%), and 89 (9.1%) of total Autobans, respectively.
Hero Member and Legendary have 41 and 20 Autobans, that account for 4.2% and 2% of total autobans for all ranks (excluding Brand New/ Newbie).

Compare the before and after banwave period

• Before: one-week before the banwave: 764 Autobans
• After (from 11/5 to 20/5/2019 ~ 10-day period: 2170 Autobans

The average of daily autobans are 110 and 217 cases per day for before and after the banwave periods, with the cutoff day is 11/5/2019 (the start day of after period). It means that the average of autobans per day of after period is 1.97-times (217/110 ~ 1.97) higher than the figure of before period.

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Data (from LoyceV)
Previous week before the banwave
764 autobanned users (there is likely a typo made by LoyceV). It should be 764 rather than 747? (If LoyceV see my topic, please confirm this typo). However, there is no data on autobans  over ranks.

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During the banwave
389 Autobanned users (11/5/2019)

137 Autobanned users (12/5/2019)

213 Autobanned users (13/5/2019)

318 Autobanned users (14/5/2019)

67 Autobanned users (15/5/2019)

685 Autobanned users (16-19/5/2019)

361 Autobanned users (20/5/2019)

Update from LoyceV for the three-day period, from 21/5-23/5/2019

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Results (from 11/5/2019 to 23/5/2019)
All ranks



Brand new + Newbie ranks excluded


Before & After Banwave period comparison

• Before: one-week before the banwave: 764 Autobans
• After (from 11/5 to 23/5/2019 ~ 13-day period: 2575 Autobans

The average of daily autobans are 110 and 198 cases per day for before and after the banwave periods, with the cutoff day is 11/5/2019 (the start day of after period). It means that the average of autobans per day of after period is 1.8-times (198/110 ~ 1.80) higher than the figure of before period.

In addition, if we counted only the last three days, from 21/5-23/5/2019, the average rate of Autobans per day is 405/3 ~ 135, that has dramatically fallen compared to the 10-day period from 11/5-20/5/2019, at 210 Autoban per day in average. The banwave has been likely cooled down a little bit last three days, compared to the rate of average autobans per day of the before period at 110.