WPN cash games botnet revealed

Hello everyone, after the topic of bots on 888, I was asked to look at the situation in the Cash Games on WPN and I found another network of bots there.

There is a common belief that bots are inelastic for sizing and can be exploited through 1bb bets. My research reveals the opposite.

This is Human folds to Cbet out of position, after defending the blinds against one opponent, depending on the size of the bet they faced:

And this is Robot folds to Cbet out of position, after defending the blinds against one opponent, depending on the size of the bet they faced:

Whatever lines I take, bots in HU banks everywhere are more sensitive to different sizings than people.

But the situation changes completely if we start to watch multyway pots.

This is Human folds to Cbet in multiway pot:

And this Robot folds to Cbet in multyway pot:

See this inelasticity between reaction to 33% and 50% bets ?

Let's see one more example.

Here is a Humans check-fold in multyway pot as preflop aggressor:

Here is a Robots check-fold in multyway pot as preflop aggressor:

Again inelasticity between reaction to 33% and 50% bets

Now let's look at the general frequency of bets in multyway pots.

Humans:

Robots:

Amazingly, the more people are in the bank, the more often this group of bots makes bets. It looks as if they don’t have a solution for multyways and they act there according to a simplified strategy that reveals such nonsense.

Additional patterns that this group has:

1) Beast WWSF (~50% avg)
2) A high level of aggression on the postflop (Cbet river, BXB, bets vs missed cbet, strong red line)
3) Less raises (low flop check-raises, low raises against check-raise).
4) Lack of open limps on SB.
5) High folds at 3rd barrel on the river.

The final list of nicknames of bots that play identically according to the above patterns (NL50-NL1000):

CheckRiverPls
HiMomIChampion
alakrity
w0rdvirus
daggerrunner
Unassailable1
LaLaRa2211
dijkstra48
lastresistance
drunkenrage11
wielded
bobo1923
hallowedbyName
chiefbumster
Tsunami8000
AcerbateSensei
vienalgaman
golddublon
Bayaz
LordAzriel5
RumbikBubik
shootist

Total Graph (All hands played 2020, NL50-NL400 mostly):

One of the problems that I found is that if I lower the requirements for searching, then I find players playing in a similar style but differ literally by a couple of stats from the above group. I have three versions of why this happens:

1) Especially make game styles of nicknames different from each other
2) Apply a new decision-making algorithm that eliminates the inefficiencies of the earlier version
3) Part of the time these nicknames are played by real people

For example, next nicknames are very similar to the group above, but they do not coincide in some stats, I suspect them, but I can’t prove:
purus
Sharty waffles
Alcejc
Apocalypse
stongpanyid

A full analysis of differ players by stats, I did in the sheet in Google-docs:
https://docs.google.com/spreadsheets/d/1...

The hands of the players from the list above so that you can verify their similarity:
https://mega.nz/file/n8lSUABR#nIcpjygF_p...

In conclusion, I want to make a small statement for those who will deal with their identification in the future. Less and less sense today to look at the intersection of players by IP and general stats like VPIP / PFR / 3BET, but it is important to look at deeper things. The distribution of the strategy along certain lines, distribute sizing, strategy distribution according to the texture of the board, timings in decision-making. The work that professional players have done in the past should now be done by security. Too precise solutions are light up. Too much randomness are light up too. Open-source to statistics is very important today. Tools for in-depth analysis of strategies are already available now - Hand2Note allows to explore any stats that are possible, and the number of stats is limited only by imagination. I am more than confident that the community itself can do this work if gets open access to Hand Histories. Most likely, bots of varying difficulty are currently playing all poker disciplines, especially at low and medium limits. Without statistics analysis and a strong poker room security service, which is able to identify them at an early stage, it is most likely impossible to resist them.