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math wizards: fairest way to score poker players ranks

 
 
xray88
 
Reply Fri 6 May, 2005 12:55 pm
I play Texas Hold 'em in a weekly on-line tournament (play money). I am in charge of keeping score of players ranks. This is the system I've been using:

If there are ten players in a tournament, everyones score will look like this:

player 1- 1pt. player 2- 2pts. etc. If there are only eight players, the scores look like this: player 1- 1.25pts player 2- 2.5pts. etc.

Then every week, I average everyones scores and see who's doing the best (the lower the score, the better). There have been five games this quarter. I came in first in this quarter's first game, and John came in second. In three of the four following games John has done slightly better than me. These are our rankings so far:
me: 5.72pts.
John: 5.36pts.

Now I thought this was a pretty good way of keeping score, and then I found this article on how the North Jersey Poker League keeps score. They use what they call a Natural "Logarithm Rankings" system to keep score.

So, I tried using their system to see if the results would be different, and they were. I got:
me: 57.12%
John: 54.77%

It doesn't seem right that I should have a higher score than John when I only placed one level above him in two tournaments and he's done better than me in three others. Is the NJPL calculating using the wrong formula? If they aren't, is my scoring system better?
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raprap
 
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Reply Fri 6 May, 2005 02:33 pm
I don't want to write a text here, but this ranking is a lognormal distribution that is based upon a standard normal distribution. Moreover, your initial rankings are skewed as based upon the distribution for tournaments of less than 10 players.

If you would do your rankings as based on the recommendations of the NJPL for each tournament as based upon the number of players it would equitable adjust for the number of players in a tournament.

For instance if John Placed first in a tournament of 8 players it wouldn't count rank as high as when you finished first in a tournament of 10 players by using the formulae ln((N+1)/X) where N is the number of players in a tournament and X is the player ranking. Whereas, your method would skew the rankings toward John. IOW the NJPL rankings would normalizes the rankings as based upon the number of players in a tournament.

If you want to look at the criteria for log normal distributions look here

I hope this helps.

Rap
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