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Old 09-27-2007, 06:47 PM
jay_shark jay_shark is offline
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Join Date: Sep 2006
Posts: 2,277
Default Standard deviation for SNG\'s and sample size for CASH games

I'm not sure if anyone has written extensively on this topic in regard to heads up games but I'll try to explain things as simple as possible .

Your standard deviation for heads up sng's is a function of your win rate . If you assume that your win rate is ~60% , then your standard deviation will remain fixed for any player who shares the same win rate . A simple calculation proceeds as follows :

Var(x)=E(x^2)-E(x)^2 where E(x) is your win rate(or mean) for a random variable x . For this particular case , we regard the variable x as +1 for when we win 1 unit and -1.05 for when we lose one buyin which also includes the rake .

So assuming you win 60% of the time , your s.d is simply the square root of your variance or var(x) .

E(x^2)=1^2*0.6 +(-1.05)^2*.4
E(x^2)= 1.041

Also E(x)=1*0.6-1*0.4 -0.05
E(x)=0.15

Var(x)=1.041-0.15^2
Var(x)=1.0185

S.D(x)=sqrt(1.0185)~ 1.0092

This means that if your win rate is 60% , then your s.d is approximately equivalent to 1 buyin , no matter what !

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Our standard deviation for cash games may be different for two players who share the same win rate . As I explained earlier , this is not the case for sng's .

To compute our standard deviation for cash games , we need at least 30 cash game sessions to ascertain that our s.d converges to a steady number . We need not even know our win rate which is why the central limit theorem is so very useful in situations like this . Using the numbers that Jakeduke provided , I will calculate the number of hands needed to determine with 95% confidence, our win rate interval .

Lets say after 50k hands , our win rate is (10 bb)/100 hands and bb is not to be mistaken for big bets .

Our standard deviation , using jakeduke's numbers is ~ 11 big blinds/100 hands .

xbar is our sample mean (10 bb/100 hands)
z= our confidence level which is approximately 2 s.d's above and below the mean .
sigma bar is our sample standard deviation .

In this case , sigma bar is 11/sqrt(500)~ 0.4919 per 100 hands .

10 +- 2*0.4919 Which means that we are 95% confident that Jakeduke's win rate lies between 9.0162 to 10.98 BB's per 100 hands .

Using z=3 , we are about 99% confident that Jake's win rate lies between 10 +- 3*0.4919 or between 8.52 to 11.47 BB's per 100 hands .
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