On Wed, Nov 19, 2008 at 12:24 PM, Christoph Birk <[EMAIL PROTECTED]> wrote:
> On Wed, 19 Nov 2008, [EMAIL PROTECTED] wrote: > >> I think that would not be enough, because that would only fix one point. >> > > You can use the width too. That should give a pretty good comparision > for moderatly strong/weak players (see below). > > EGF ratings are not pure Elo ratings. EGF ratings are weighted to fit 100 >> points for one handicap stone, which happens to match about 65% winning >> percentage in even games for medium level players (around 3k). >> > > That should not matter much. The typical chess player should be > "as strong" as the typical Go player and I also expect the strength > distribution to follow similar lines. > > Also, I am not aware that there exists a histogram of the worldwide go >> population. >> > > Why would you need world-wide data? Use US-Go/Chess or European data. > The lack of pros in this distributions should not matter much, as these > are very few at the top end of the distribution. > > > Christoph > _______________________________________________ > computer-go mailing list > computer-go@computer-go.org > http://www.computer-go.org/mailman/listinfo/computer-go/ > Here you go! http://senseis.xmp.net/?RatingHistogramComparisons % AGA KGS USCF EGF --- | ------ | ------ | ----- | ----- | 1% | -34.61 | -24.26 | 444 | 100 | 2% | -32.58 | -22.30 | 531 | 100 | 5% | -27.69 | -19.20 | 663 | 153 | 10% | -23.47 | -15.36 | 793 | 456 | 20% | -18.54 | -11.26 | 964 | 953 | 30% | -13.91 | -8.94 | 1122 | 1200 | 40% | -9.90 | -7.18 | 1269 | 1387 | 50% | -7.10 | -5.65 | 1411 | 1557 | 60% | -4.59 | -4.19 | 1538 | 1709 | 70% | -1.85 | -2.73 | 1667 | 1884 | 80% | 2.10 | -1.28 | 1807 | 2039 | 90% | 4.71 | 2.52 | 1990 | 2217 | 95% | 6.12 | 3.88 | 2124 | 2339 | 98% | 7.41 | 5.29 | 2265 | 2460 | 99% | 8.15 | 6.09 | 2357 | 2536 | 99.5% | 8.70 | 7.20 | 2470 | 2604 | 99.9% | 9.64 | pro | 2643 | 2747 | top | 10.12 | 9p | 2789 | 2809 |
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