Sorry, the KGS formula uses a constant k which is different from the K-factor in Elo. P(A wins) = 1 / ( 1 + exp(k*(RankB-RankA)) )
This would be equivalent to changing the constant 400 in: P(A wins) = 1 / ( 1 + 10^((Ra-Rb)/400)) ) EGF has a similar scheme except of course they use different letters for equivalent constants. So this varying of k is what accounts for the fact that upsets are more likely for weak kyu players than for dan players. - Andy On Jan 31, 2008 12:37 PM, Don Dailey <[EMAIL PROTECTED]> wrote: > ELO ratings don't have to be absolute, just self consistent. So if you > beat someone 7.2% of the time, that means you are about 440 ELO > stronger than him. > > However, I don't understand what the K-factor has to do with anything. > scaling it up or down doesn't change anything. It's common practice to > make the rating of strong players change more slowly as the result of a > win or loss but that's not relevant here. > > The findings below indicate that differences between dan players is > greater than the difference between kyu players. So you could not > assign a fixed ELO per rank but it would have to progressively get > higher as the players get stronger. > > I don't know how David figures 1000 ELO, but I would expect the > difference to be much larger than that for 19x19 go. I don't believe > they are yet very close to 1 Dan. > > - Don > > >
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