Damavaco's realistic tournament performance on GGNetwork

You can see 3 line graphs in this section;

Net profit, net rake, and ideal profit(when you do not pay the rake)
"Profitable ratio", including moving average; Downloaded data from the Pokercraft does not give you an information of ITM, instead it lets you know amount of your prizes(including bounties). Because of this, if you got enough bounty(more than buy-in) from some tournaments, then the system classifies that as "profitable". This value is slightly higher than actual ITM ratio.
Average buy in of your tournaments, including moving average. Note that buy-in is log-scaled.

Creator's comment: This section is classic and probably the most fundamental graph for all tournament grinders. Note that the Pokercraft does not show the true PnL, which means it does not correctly mirror the rake.

RRE(Relative Returns with re-Entries) is a relative return of your investment for individual tournament, considering re-entries. For example, if you got $30 from a tournament with $10 buy-in and you made 1 re-entry, then RRE = 30/20 = 1.5.

You can see 3 plots in this section;

RRE by buy-in amount (Heatmap)
RRE by total entries (Heatmap)
Marginal distribution for each RRE range (Horizontal bar chart)

Note that X and Y axes are in log2 scale in these plots, because these metrics have wide range of values so it makes no sense to display in linear scale.

Creator's comment: This section shows you are strong/weak in which buy-in and which entry sizes, and also how much of your profits are from in which RRE range.

This section shows simplified result of the bankroll analysis simulations. The exact procedure of the simulation is as follows;

From your Pokercraft data, gather RRs of every tournament results. Unlike RRE plots, you get multiple values from single tournament if you did re-entries; For example, if you got $30 from a tournament with $10 buy-in and you made 1 re-entry, then RRs = [-1.0, 2.0].
Assuming you are continuously playing tournaments of 1 dollar buy-in, where each tournament yields one of all RRs as return, in uniform and independent manner.
For single simulation, run max(10 * YOUR_TOURNAMENT_COUNT, 4e4) times and see if you are bankrupted or not.
Run 25k parellel simulations.

Then each individual simulation yields one of two results;

"Survived"; The final capital is non-zero
"Bankruptcy"; It bankrupted before reaching maximum iteration

So the survival rate is basically likelihood of your survival when you start playing tournaments with specific BI.

Creator's comment: I use RRs instead of RRE because RRE assumes you will end getting prize, but in reality you may not be able to get prize even after multiple re-entries. Also, I personally think 200 BI is the optimal bankroll for tournament grinders, especially if you play massive tournaments with thousands of participants.

This section shows how much of your total prizes are from specific tournaments. Since there might be too much number of slices, only tournaments gave you more than 0.5% of your total prizes are shown, and the rest are grouped as "Others", which is the biggest separated slice.

Creator's comment: You can see if you ignore small prizes, then lots of portion of your prizes are gone. In a long term, there is no such thing like "one hit wonder".

This section shows how RR grows over your rank percentile. RR is calculated as prize divided by buy-in(re-entries are not considered), and PERR is calculated as RR multiplied by rank percentile.

The RR trendline is a line for RR and rank percentile generated by linear regression. It does not trained on low ranked results(worse than 12.5%), because there are way too many noises in such area.

Creator's comment: You can see RR and Rank Percentile are having roughly linear relationship. You can check PERR of some important points to know how much you should frequently achieve such deep runs, and also how hard to make profits in tournaments in long term. Some tournaments like Flip & Go (Go Stage) or Day1 tourneys may make a noise due to how GGPoker gives an incomplete data.

Generated by Pokercraft Local v1.7.1 provided by McDic