RE: [computer-go] Win rate and handicap (was: Modern brute forcesearch)

["Mark Boon" <tesuji@xxxxxxxxx>]

> -----Original Message-----
> From: computer-go-bounces@xxxxxxxxxxxxxxxxx
> [mailto:computer-go-bounces@xxxxxxxxxxxxxxxxx]On Behalf Of David G Doshay
> Sent: Wednesday, November 10, 2004 20:25
> To: computer-go
> Subject: [computer-go] Win rate and handicap (was: Modern brute force
> search)
>
>
> On 8, Nov 2004, at 4:13 PM, Christoph Birk wrote:
>
> > drd@xxxxxxxxxxxxxxxxx wrote:
> >> I don't know how to compare  this gap with GO.  If an omniscient chess
> >> player could win 95% of it's  games against a Bobby Fischer, how would
> >> that compare to "number of stones" in Go?
> >
> > About 3 stones,
>
> I won't comment about omniscient and any particular player, but in
> games between SlugGo and Many Faces, we play statistically even
> at 4 stones. We played games between h = 1 and h = 6, and the
> winning percentages move from Sluggo winning about 80% at h = 1
> to SlugGo (extrapolated from data up to h=6) looking to loose about
> 80% at h = 7. These bounds are weak on the high side because we
> did not play that many games at 5 or 6 stones.
>
> So, between these two programs, the 95% win rate is 4 or 5 stones.
>

But winning percentages in relation to stones change when you go up in
level.
As an amateur 6-dan, I believe I don't have much more than 95% chance
against an 8-dan. My personal score is still 0% against a real 7-dan even in
well over 20 games.

So your data doesn't necessarily translates to the level of an omniscient
player.

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