Aggregate Reports

Aggregate Flop Reports Overview

Aggregate Flop Reports are an extremely powerful tool that allows you to find deeper trends in game theory. These reports account for all 1755 strategically different flops and can be accessed from any flop node.

Flop reporting offers several different ways to view the data, including:

These reports include data about EV, Equity, Equity Realization, and strategy.

By combining various filters and views, you can uncover trends and discover GTO heuristics to make better data-driven decisions.

All flops and filters are weighted according to their actual probability. This means the overall statistics you see for any spot will be correctly weighted when applying filters.

Spot selection

Chart View vs. Table View

Chart View

Chart View is the default view and the most aesthetically pleasing way to view the data. All flops are displayed as a bar graph. We can break this up into several categories:

Data visualizer

The data visualizer is the primary display of the aggregate reports. The data visualizer shows you the strategy of all flops/categories.

Use the manhattan graph at the bottom of the page to scroll through flops. You can also scroll with the mouse wheel.

Use the buttons at the top to view the Strategy/EV/EQ/EQR of flops or groups. Selecting both positions’ EV/EQ/EQR will show a double bar graph.

Overall stats

This section shows you the average stats for all flops within your filtering criteria.

Selecting one or multiple bet sizes will update the data visualizer only to show those actions.

Applying filters will update this data. For example, using the filter “monotone” results in this:

We can also group similar actions together using the dropdown in the bottom right corner, (or simply press ‘S’).

Data selection

You can switch between the strategy, expected value (EV), equity (EQ), and equity realization (EQR) using these buttons. Selecting both positions will show a double bar chart.

Filtering

Filtering works the same way here as the rest of GTO Wizard. Filters will update data across the entire report. You can combine multiple filters to increase precision. Filters are one of the most powerful tools in reports! Use them to determine heuristics and break down strategies by texture. Filters are especially powerful when combined with other functions like sorting and grouping.

You can save filters and access them later by selecting “my filters”. We recommend saving filtres that create strategically similar flops.

Subsets

Subsets are collections of flops that are chosen to represent the full space of all possible flops. Use subsets to simplify reports and make studying trends simpler. Learn more about how subsets are calculated here.

Grouping Flops

One of the best tools in the chart view is the ability to group similar flops together. You can group flops by high card, suits, pairing, and connectedness.

Strategy grouped by flop high card.

Grouped by connectedness:

You can view EV/EQ/EQR instead of strategy.

Grouping actions

Group similar actions together using this dropdown, or simply press ‘S’.

Table View

Table view works very similarly to chart view. It has a few tradeoffs. The table view is better for analyzing the numbers. It also allows users to sort by grouped actions. The same filtering and flop grouping applies.

Pay attention to the “filtered” row

The filtered row contains data that you have explicitly filtered for. This is useful for comparing filtered data to the entire 1755 flop subset.

The percentages in the first column of each group indicate what portion of the report they represent. For example, only 4% of flops are 7-high, whereas 21.7% of flops are A-high.

Sorting

Click on any of the headers to sort the report. Use this in conjunction with action grouping to navigate complex reports more easily. For example, I’ve sorted by betting frequency and grouped all bet sizes into one column. As a result, we can see that paired king-high boards are bet at the highest frequency.

Highlight

Conditional Highlighting is a great way to view numeric data. Numbers below average are colored red, while above average numbers are green. Select the highlight dropdown in table mode to apply highlights:

Aggregate Turn Reports

Aggregate turn reports can be accessed from the Reports tab in the solution browser on any turn node. This report shows you data for all turn cards on a given flop. You can view the strategy, EV, EQ, EQR. You can sort and group data the same way as flop reports. Turn reports function similarly to aggregate flop reports. There are three key differences:

Filtering for hole cards

Filtering turn reports will filter for your exact hole cards rather than filtering turns. This will update the data visualizer to represent your exact hand.

Default view

Turn reports offer an additional “default” view. This view shows all turn cards and color codes each one according to the data you have selected.

Sort by suits/cards/actions

The Chart and Default view allows you to sort turn cards by suits/cards/actions. Each sorting method is helpful for different board textures. You can sort by specific bet sizes using the table view.

Usage Examples

Example: BTN vs BB SRP. BB check-raised the 4♥4♦3♦ flop, got called. How should BB follow through on various turn cards? We open the reports tab to see a similar chart view setup, although we see different turn cards instead of different flops.

Let’s say we hold 7♥5♥. Select filter and enter our hole cards. This will show us the strategy of 7♥5♥ over all turns. Here I’ve sorted the data by suits. We can see at a glance that 7♥5♥ should barrel when we pick up a draw such as a turned FD, OESD, or gutshot, primarily using an overbet size.

Let’s say I want to know the EV of both ranges across different turn cards. I’ve removed the filter, so now I’m looking at the entire range. I will select both BB and BTN’s EV as shown below. We can see that BB does well on most straight-completing turns, and does poorly on a 3 or 4.

While this view is aesthetically pleasing, we can’t see the actual EV’s unless we hover over each column. So I’ll switch to the “default view” to get a better overview.