Multiple Player Reports: a window into the real trends of the poker field

30 Oct 2025

Intermediate

This material is for medium-skilled players

Analyzing the trends of the Multiple Players reports field in poker is the study of the average playing style of the entire player base or its parts. With the help of this analysis, you can identify typical leaks of the playing field and build a strategy not based on speculation, but on real data. In Hand2Note 4.1, these features are implemented through Multiple Player Reports (MPR). MPRS allow you to select a group of players based on specified criteria and aggregate their statistics into a single report. This is especially important for building an exploitative strategy: instead of blindly focusing on a theoretically "balanced" (GTO) approach, we study the average weaknesses of the field and adapt our game to them. For example, comparing your 3-bet frequency with the population average will immediately show whether you are playing tighter or more aggressively relative to the field. In this way, MPRS turn disparate opponent data into valuable strategic insights.

How Multi-Player Reports (MPR) work

The idea is simple: we take similar players and combine their hands as if they were "one whole". This solves the typical problem of lack of sampling: a single opponent may not have enough played hands for reliable conclusions, but there are already plenty of them for a group. In fact, MPR "filters out" not the game situations, but the players themselves: you set the conditions for the players (their VPIP, raise frequency, winnings, etc.), select a group and click "Apply". Hand2Note collects tens and hundreds of thousands of hands from these players and outputs general statistics. It's as if we see the "average" player from the selected category all at once.

MPR differs from regular reports in that it does not look at one specific opponent, but at the combined data of many. Multi-Player reports solves the problem of a single player's lack of sampling: "by aggregating the statistics of similar players, you can estimate or deduce their range, gaining a more accurate understanding of the real strategy." At the same time, Hand2Note is able to process millions of hands and quickly produces results even on large samples. In other words, MPR is a powerful general data analyzer that allows you to deeply explore the ranges, bets and lines of the entire player base.

Creating and configuring Multiple Player Report in Hand2Note 4.1

To create an MPR, follow these steps:

• Open the Reports tab in the Hand2Note main menu.
• Click on your nickname (or the desired player) to open the Player Dialog.
• Go to the Multiple Players tab. Here you will see the interface for setting up a group of players.

To create a report, select a database and a date range. Then set the filters by which the players will be selected. These can be basic statistics ("Base Stats") - for example, Hands, VPIP, PFR, VPIP-PFR, etc. You can also use the "Wins" block - filters for winnings: All-in EV, Win Rate (bb/100), Won From User, and others. For in-depth analysis, there is an "Additional Stats" section where you can set your formulas based on any Hand2Note stats you have.

• After installing the filters, click Apply - a list of players who meet the criteria will be displayed at the bottom of the window. These will be the participants in the report. You can deselect unnecessary ones or add an alias (color label) for further grouping. When the group is ready, click Ok. Hand2Note will create a new report aggregating the statistics of the selected players.

Thus, the MPR setting is the selection of a database, filters, and display conditions. You decide which players and situations to collect data on. For example, you can create an MPR for all players with 20%>VPIP>30% and PFR>15%, as shown in the example below. After the application, you will receive a report with aggregated statistics for this particular group of weak players.

Grouping and filtering data

When working with MPR, it is important to be able to group and filter data to refine the sample. Hand2Note 4.1 provides a flexible parameter system:

• By position. You can analyze players by their behavior from different positions (UTG, MP, CO, BTN, SB, BB). This helps to identify, for example, whether tight players differ from aggressive ones in early and late positions. You can enable the "Position = BTN" or other filters in the report.
• By stack size. An Effective Stack filter is introduced, for example, to highlight hands when the player's stack was less than 30 BB, and compare it with statistics for deep stacks. This shows whether the ranges change as the stack grows.
• By the type of player. Hand2Note has a system of labels (color markers) and a "Fish/Reg" classification. You can, for example, select only "regulars" or "big fish". The Color Markers interface allows you to mark a player as weak, regular, nit, koller, etc. When creating an MPR, you can filter by Fish/Reg or by a specific label.
• There are filters by poker rooms (PokerStars, GG, etc.) and by table limits, which is useful if you analyze multiple players from different networks.
• A combination of filters. Hand2Note allows you to apply multiple conditions at the same time. For example, to study the "average" regulars, you can set a VPIP of 20-30% And The PFR Is 15-25% And The EV Win Rate Is > 0. At the same time, the sample will remain focused and reliable.
• Using color labels, it is convenient to divide players into different types.

Comparing your statistics with the field

MPR can be used not only to study opponents, but also to compare your own game with the average field. To make a "Self vs Population", create two reports: one for you (the usual report), the other for all other players. Hand2Note allows you to pin reports and see them at the same time. This way you can visually compare your VPIP, PFR, blind protection frequency, 3-bet size, etc. with the population averages.

Such comparisons help to adjust the strategy: either to catch up to the average, or to use the weakness of the field to advantage. The main idea is not to rely on guesses, but to see the real differences between you and the field.

Practical MPR Usage Scenarios

MPR finds application in many areas of poker training:

Players: find areas for an exploit. For example, if the field often responds incorrectly to your bet, you can expand or narrow the bluff range. Using MPR, you can quickly check if your assumptions about the field are correct.

Trainers: compile training materials. The analysis of field statistics allows the coach to show the student real data about the population: "the average reg often makes X", "players fold on Y". Based on this, the coach sets up exercises and handouts for the student.

GTO solvers users: verify assumptions. We all try to build optimal ranges. Using MPR, you can see, for example, how much weaker or stronger the field is than your "theoretical" range and adjust the settings used in the solver.

Tips and tricks

Custom expressions and filters. In the "Additional Stats" section, you can create your own formulas by combining standard Hand2Note statistics. For example, by setting the condition "Value(FlopCall) > 50%", you will find players who watch the flop more than half of the time after a preflop raise call. With the help of such expressions, MPR can be deeply detailed.

Using labels and aliases. If you have color-coded the database or created player aliases, this will speed up MPR settings. You can immediately select the desired tag and get a report on all players marked with this tag. This is convenient when you have already classified your opponents by style in advance.

Viewing statistics through pop-ups and the Statistics block

In addition to the standard tabular MPR representation, in Hand2Note 4.1 you can output the same, and if desired, even deeper population analytics directly in your custom pop-ups using the built-in pop-up editor and the Statistics block.

This is especially convenient if you are already used to your HUD and pop-ups: you do not need to open individual reports, switch between tabs or search for the necessary filters. All the key indicators of the field, such as 3-beta frequencies, counterbet folds, street barrels, or blind protection, can be displayed directly in the familiar interface.

Through the Statistics block in the pop-up editor, you set filters and groupings in the same way as in the Multiple Player Report: select a database, limit the range by date, limit, or type of player, add the necessary stats, and optionally group them by position or stack. This way, the pop-up turns into your personal version of MPR.

Typical mistakes and how to avoid them

A small sample. The most common mistake is to base conclusions on an insufficient number of hands. If there are only a few hundred hands in MPR, statistics can jump a lot. Make sure that the filters are wide enough and compare samples from several thousand hands.

Mixing different types of players. If both regulars and phishes are included in the report, you will get an "average" foggy picture. Try to segment: create separate MPRS for regulations (for example, VPIP<30, PFR>15) and for recreational (VPIP>40, PFR<10).

Ignoring positions and stacks. The performance of a "fielder" is highly dependent on the position and depth of the stack. Don't forget to set filters by position or analyze positionally distributed reports.

Conclusion

The Multiple Player Reports in Hand2Note 4.1 allow you to turn disparate numbers into deep insights about the trends of the field. They can be used to identify system errors, compare your style with the average, and build operational strategies based on real data rather than assumptions. Thanks to MPR, you get an objective picture of the population, whether it's the regulars of the selected limit or the weak players in your network. The collected statistics help to adapt the game: expand the ranges where people are too tight, and squeeze them where the field is aggressively bluffing.

Hand2Note 4.1 combines powerful statistical analysis and flexible filters to make field exploration fast and efficient. By using Multiple Player Reports, you rely not on speculation, but on numbers - and turn knowledge about the field into a real advantage on the table.

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