Customize Your PokerTracker Stats

"Live" stat for HUD use - displays a player's stack in BBs, based on information from the end of the previous hand.
This will be wrong for one hand after a player rebuys.

"Live" stat for HUD use - displays a player's stack in BBs, based on information from the end of the previous hand.
This will be wrong for one hand after a player rebuys or the level changes.

The players total stack divided by the big blind value. This is useful for heads up players who need to use Nash push/fold charts.

Holdem Cash Player Statistics stat to show the points earned in iPoker hands. Can be added to any report showing player statistics, including my "HCPS Session statistics" report, which is also available for download.

River Call Efficiency stat for Holdem Cash Player Statistics section - can be added to any report showing player stats. Thread

$/Hour stat for tournament winnings. This can be used in any report showing overall tournament results.

Net Won and ROI for tournaments with known finishes only.
This is useful for sites for which you don't have all finishes of everyone. PT3 will show a 0 finish and $0 won for players for whom the result is not known. This will adversely influence their results as they might actually have won some money, only it is not known to us.
This custom stat ignores the results for which the result was not known (i.e. finish = 0). Note that more custom stats can be derived based on this, like #tournaments, $/day, etc... but I only did the two that are most important.

There are 3 omaha stats - the percentage of high pots won, of low pots, and the percentage of hands where there was a low pot which you won both high and low (scoops).

Jennifear's BRM article (http://www.pocketfives.com/blogs/jennifear/) proposes a cashout strategy based on the buy-ins of every tournament played, regardless of how much you won.

This statistic will offer the amount to be cashed out for every tournament. The Tournaments overview can then be used to get the total amount to be cashed out.

This stat is a bit more detailed than Jennifear's proposal as it takes into account:
* any fieldsize (where DONs and Fifty50s are considered similar to HU). More players normally means higher ROI and therefore higher cashout. Some examples: 2:1.9%, 10:4.2%, 18:5.1%, 90:7.8%, 500:10.8%, etc.. Edit the 'amt_cashout_base' column to tweak this to your own liking.
* blindlevel speed. Turbo and SuperTurbo normally have lower ROI and therefore lower cashout. My implementation takes 2/3 and 1/2 of the Normal speed cashouts respectively. Edit the 'amt_cashout' column to tweak this to your own liking.