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Old 04-20-2006, 06:22 AM
Warren Whitmore Warren Whitmore is offline
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Join Date: Sep 2002
Location: New Hampshire
Posts: 530
Default Re: Smoking causes cancer

Hi Springer,

I recently did a study of this for online play. Of course all of the data collected (3000 hours worth) was on me and so I do not know if it would be transferable to anyone else or not. The method of collection was a taguchi style matrix system.

The best game profit wise turned out to be 5 handed limit stud. The initial variable for game selection was site selection. The softest games were on the worst internet sites. Aparently the better players leave a site and dont come back once it crashes a few times, has bad graphics, and low usage rates. Find the 3 worst sites.

Derive a slop of the Y=Mx+b sort where y = BB/hr ev and X=% of people seeing the flop. In My case the formula is Y=-0.0082X(squared) + 1.1784X -38.505. Yours will of course be different depending on if you play better than me or worse. Have that curve printed out above your computer. check all of the game candidates to find the BB/hr and multiply by the BB limit of the game. This will assure that you are always starting int he highest positive EV game available.

Next using an excell spreedsheet name each of the 4 opponants. In the 2nd through 4th column list SK, R, M, C
for Stone killer, Rock, Mainiac, Calling station. Each hand that you see played through add a number to the way that opponant played that hand based on Schoonmakers reccomendations. (SK means the way 2+2 would have reccomended playing the hand or stone killer).

You will find that the % stone killer is the number which correlates most tightly as a second degree polynomial to game EV and exceedes in Rsquared value the % of people seeing the flop. Mine is Y=-0.004X(squared) + 0.2999X - 1.6795.

Of course as you collect data on your opponants besides changing your play to optimize EV you will be playing to a style preferable to the overall table style. I reccoment using the conclusion page in the theory of poker for this purpose.

As you gain data you will find that your EV improves the longer you play with the same opponants because you will have more information on them than they have on you. Your ev will go down over time because you will become more tiered. The intersection of these two curves for me Ironically was exactly 2 hours. The same as Lorinda came up with. I then take a 10 minute break. When I come back and repeat the process. Sometimes to rejoin the same table more often repeating the process.

The other variable was session lenth and delta between sessions. This is the sequence of times of play.
6-8 am
10 minute break
8:10 am to 10am

8 hour break

6-8Pm
10 minute break
8:10PM-10PM

I hope this helps, it has worked well for me.
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