ITM%'s in 9man STT's is a subject often queried by noobs, and there's been a need for a clear post on the subject in the FAQs for a while now. TFG asked for a post to be written on the subject, so here's my attempt at one!:
Introduction
In a game where skill played no part and luck was the sole factor, we should all expect to place ITM exactly
3/9ths of the time (i.e. 33%) and on average lose exactly our rake percentage (assuming 1st=2nd=3rd=11%) over the long term.
Of course this is hypothetical since it is very clear that skill edges have a huge factor on our ITM placements.
I haven't researched this to the nth degree, but I've trawled the statistics of all types of players on sharkscope over the last 3-4 years, and feel I have a decent knowledge of the %s you are likely to encounter.
In summary, for winning players, the % of ITM's lies in the region of
36%-42%. There are a number of reasons for what appears to be quite a large span. I will attempt to explain these reasons below:
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Why the range from 36%-42% ITM?
In the
low stakes games, the play is
far more passive than the
high stakes games. Players can almost sit back and watch other players bust before their eyes and then drift into the money a high % of the time. By not making aggressive moves around the bubble, a player puts himself at less risk of busting, and if those around are busting for you, it is possible to attain a high ITM%.
I have personally seen strong winning players at the $16s and below, with ITM%s of around 42%, and have had the opportunity to review their HHs. Their play is indeed not aggressive as one would normally expect around the bubble of a 9 man stt, they play a small ball style of poker more often, exploiting weak players in cheap situations. They are also able to convert a reasonable % of money finishes into 1st and 2nd place finishes, even though they may reach the money with a 3rd place stack. Their finish distributions tend to be 3>2>1, but not a huge difference between the percentages.
I know of a specific player who attained
16% ROI at the 16s over a very large sample, with an
ITM% of ~42%, (all be it a few years ago). They ran very approximately at
1. 13.2%
2. 14%
3. 14.8%
ROI =
16%
ITM =
42%
Clearly this is a very desirable ROI and consequently a low variance. This was achieved when the games were softer and players would bust for you, whether it is achievable in today's games is doubtful.
As the stakes rise, the aggression rises, since there are less passive bad players. Players must push more around the bubble if they wish to succeed, and must put their stack at risk far more often when 4-6 handed. This has 2 effects:
1. The ITM% drops, since we are putting ourselves at risk of busting more often.
2. The finish distribution skews towards 1>3>2. This is intuitive, since the times we put our stack at risk and don't bust, we accumulate a larger stack of chips which can only improve our chances of a higher finishing place.
This allows a finish distribution of say
40%, to be just as profitable as the
42% example above.
As an example,
spacegravy's results at the 16s over a significant sample (circa 16,000 games) were:
1. 14.9%
2. 12.2%
3. 12.9%
ROI =
15.5%
ITM =
40%
Clearly, this was a few years ago, when the games were softer, but it demonstrates that there is more than one way to skin a cat. Having watched a number of spacegravy vids, and reviewed a number of HH's of the player with 42% ITM above, I can say that the 2 styles of play are significantly different, yet both achieved a similar ROI at a similar era of the $16s.
As the stakes get really high, aggression goes through the roof, with the tiniest of edges being pushed and called, and the risk of busting is pushed to the maximum. ITM %s start to fall off dramatically, but typically the distribution of 1st>3rd>2nd is even more significant, and indeed
needs to be in order for the player to be profitable. At the
very high stakes, ITM %s drop to as low as
36%, and ROI's as low as
1-3%.
Summary:
There is more than one way to a high ROI in STTs, but by playing the accepted "standard" 2p2 way, the following ITM %s should be valid for a winning player, and their finish distributions are generally 1st>3rd>2nd due to the style of play they use.
$1-$16 = 39-41%
$27-$38 = 38-39%
$60 = 37-38%
$100+ = 36-37%
For further reading on Finish Distributions (which are a related, but separate discussion) I can recommend:
http://forumserver.twoplustwo.com/36...theory-378981/
I hoped to be able to post more graphs and evidence from sharkscope to support the above data, but as we all know sharkscope is a rather barren land nowadays, and most players have their data blocked. If people could chip in with responses giving supporting data from their own databases it would be much appreciated.
Last edited by NJD77; 01-10-2010 at 09:10 AM.