Poker Datamining Guide
PokerDatamining.NET is a guide I have made made for those, who can not afford my coaching.
On this page I will explain how you can gets started datamining, and why it is important.
The biggest benefits of datamining are that it:
- Prevent downswings.
- Increase your winrate (instantly).
Some poker rooms consider datamining to be an unfair advantage.
Guide to Datamining
To help you get started datamining, I have written a series of guides with a detailed explanation of how to datamine on different poker rooms and networks.
If you are in a hurry, you should buy hand histories to get started.
How the Heck Can Datamining Prevent Downswings?
If you are anything like me, you know that downswings are just part of playing poker. But if you think back I’m sure you have felt miserable each time you lost 15 buy ins in 10.000 hands, just like I do.
Datamining can help prevent those downswings, and as a result the periods where you don’t play very much because you are demoralized by running bad.
The hand histories gathered by datamining amplifies the skills of a good player, since it gives him makes more information about the opponents, and as a result he can make better decisions. As a result his winrate will be higher, which will have a direct impact on the size of the downswings he experience.
How a High Winrate Prevents Downswings
When playing poker you both lose and win pots, and your winnings (or losses) are the difference between the pots you have won and the pots you have lost.
So if Player A and Player B play 10.000 hands the following may happen.
Player A
Lost: 100 buy ins
Won: 90 buy ins
Result: lost 10 buy ins
Player A
Lost: 100 buy ins
Won: 110 buy ins
Result: won 10 buy ins
Even though both players lost 100 buy ins in the pots they played, Player B comes out far ahead because he were winning more money in the pots he won.
With this in mind take a look at the simulation of a downswing below.
Example
Below are a graph showing 2 players playing NL Hold’Em. I have used data from my own Holdem Manager database to make sure it is realistic, and modified it so both players experience the same amount of “luck”. This means that whenever one player is “unlucky”, the other player is exactly as unlucky.
The evolution of 2 player’s bankroll showing the significance of a higher winrate.
The blue player has a winrate of 4bb/100 hands
The purple player has a winrate of 8bb/100 hands.
The Significance of a Higher Winrate
Lets have a look at what happens to our 2 players from the 60.000 hand mark to 70.000 hands mark.
Starting balance (at the 60.000 hand mark)
Blue Player: 16 buy ins.
Purple Player: 40 buy ins.
Both player have a pretty ugly downswing, and at the 70.000 hand mark they end up with the following:
Starting balance (at the 70.000 hand mark)
Blue Player: -10 buy ins (lost 26 buy ins).
Purple Player: 19 buy ins (lost 21 buy ins).
The purple player’s downswing were 5 buy ins smaller due to the fact that his winrate is higher and as a result he managed to win an extra 5 buy ins during the 10.000 hand downswing. His higher winrate also means that he is quite the baller when compared to the blue player, but you probably knew that already 
Ready to Get Started?
If you want to know more about datamining and try it out for yourself, just select the poker room or network you play at, and you will be taken to a guide showing how you can get started.