But after you do this, then what? Suppose, to put real names to this, you find that Anand's record against Karpov is better than you expect. So?
In any bin, there will be some players that do better against some others.....but what do you learn once you know this? Peter blazzers wrote <<<What about the following approach: I bin the data in terms of the ELO ratings difference, e.g -100 to -90,-90 to -80 etc Within each bin I separate winners from losers to make two 'sub-bins' I average the win/loss head-to head ratio in each of these sub-bins. I now have a series of figures, two for each bin, one is the average previous win% against that opponent where player 1 wins the match and the other for where player 1 loses the match. Some kind of difference measaure then between the two 'series' would indicate how much separate effect there is? >>> Peter L. Flom, PhD Assistant Director, Statistics and Data Analysis Core Center for Drug Use and HIV Research National Development and Research Institutes 71 W. 23rd St www.peterflom.com New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax) . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
