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Research of large databases is one of the modern ways of analyzing the game through the identification of various patterns in the game of the field in certain situations. The most popular tool for conducting research is the Hand2Note program, which has a powerful tool for such analysis in its arsenal – the Range Research function. The knowledge obtained as a result of the debriefing allows you to build effective counter-strategies (field exploits), based on the decision-making process not only on game statistics at the table, but also on previously obtained data with a high degree of objectivity. However, due to the fact that the Range Research feature is available only in the paid version of Hand2Note, its capabilities remain unused by most players of low and middle limits.
Therefore, today we will briefly cover the principles of operation and capabilities of Range Research in Hand2Note.
1. How the Range Research tool works in Hand2Note
The Range Research function allows you to analyze the actions of the field in situations selected according to the specified parameters.
How the Range Research function works:
- You set the parameters of the situation that interested you;
- Specify the parameters of the players whose behavior in this situation interests you (the more players get into the research, the more detailed and accurate the result will be);
- Hand2Note scans the existing database and finds all players that meet the specified criteria;
- Hand2Note shows the search result in the form of a special pop-up report table, which indicates the combined stats for all the players found. At the same time, the presented information can be detailed and viewed in more detail.
2. What you can learn from the analysis of the field game
Suppose we wanted to investigate situations with bet on the river from a preflop racer after barreling on previous streets. At the same time, you are only interested in opponents with a showdown win of more than 55%. Hand2Note will analyze the existing hand base and select all examples of the sequence we are interested in and all players that meet our requirements.
In the generated pop-up report, you can see, for example, the following information:
- Frequencies of bet on the river for different sizing;
- Examples of hands with which bet was made on the river;
- The percentage of different types of hands on the showdown in these situations;
- How much the player will throw, call or once again raise against our raise his bet, etc.
From the information obtained in this way, we can conclude how the field as a whole plays in the situation under consideration, determine the approximate range of hands with which the bet is made on the river after barreling, what reaction can be expected to our raise, etc. At the same time, you can create separate databases for reg players, fish, threads and analyze their trends. Also, the information obtained can be used as input data for calculating the counter-strategy in solvers.
Examples of exploits derived from large database searches
Let's look at a few examples:
- The field has a very big fold by 3-bet after opening from the positions of BU and SB. It is advantageous to bet widely 3 bet (including on "garbage" hands).
- Check-raise on the turn or river in the vast majority of cases - raise on the vellya. Bluff is practically absent in this situation.
- 3-bet in stacks less than 24bb - always a velly value.
3. The required number of hands in mining for analysis
The more hands we have the opportunity to include in our study, the more accurate the field trends will be in certain situations. This is especially true for situations and actions that are not often enough in the practice of each particular player individually to draw any clear conclusions from these examples. Check-raise on the river, an over-bet bet on a monotone board, a 4-bet from the middle position against the late one, and other similar examples are rather isolated cases in the base of one player. Therefore, large players, who mainly conduct poker funds, are based on common player bases with millions of hands. This allows even in relatively rare situations to identify certain patterns, knowing which you can build your game strategy.
4. How long does the researcher "live"?
As practice shows, it is advisable to check the fields made by the researchers at least once every 6 months. Poker in modern realities is developing very quickly, so various aspects of the game at the field can change greatly in a fairly short time.
5. Conclusions
- Large base sensors via Hand2Note are a powerful tool that allows you to obtain objective data on various patterns in the game of the field.
- Such studies are an example of in-depth work on the game, which gives professional players not only an advantage in certain situations, but also grounds for further self-development and improvement of their strategy.
- Research shows how changeable the “fashion” in poker is and how important it is to be aware of modern trends in order to use them to get the maximum profit in the game.
- After receiving data from the reserch, they are often poured into the solver to obtain solver counter-strategies against the field. This is one of the most powerful tools for working on a game.
