Whilst I appreciate the fact that computer analysis doesn't account for human long term planning, I don't think that people should be surprised that the general standard of chess was much poorer 100 years ago: it is my sincere opinion that if you took the best of the 19th century chess players (I would be surprised if any members of this forum couldn't name one or two) and put them in a modern high ranking tournament, they would finish near the bottom. They certainly produced some exciting "blood and thunder" style chess - but it would be loosing chess by today's standards.james uselton wrote:I recall in 1999 John Nunn ran Carlsbad 1911 througha fritz 5 and came to the conclusion that the tournament average was 2100. It was controversial at the time.
Calculating playing strength comparisons
Moderator: Ras
-
- Posts: 12512
- Joined: Thu Mar 09, 2006 12:57 am
- Location: Birmingham UK
- Full name: Graham Laight
Re: Calculating playing strength comparisons
Human chess is partly about tactics and strategy, but mostly about memory
Re: Calculating playing strength comparisons
Somebody did something similar here for several top players:
http://rybkaforum.net/cgi-bin/rybkaforu ... l?tid=5850
Rybka is limited to 14 ply but the data seems to follow a sensible path. I would be curious to know what kind of conclusions a statistician would draw from this.
http://rybkaforum.net/cgi-bin/rybkaforu ... l?tid=5850
Rybka is limited to 14 ply but the data seems to follow a sensible path. I would be curious to know what kind of conclusions a statistician would draw from this.
-
- Posts: 10892
- Joined: Thu Mar 09, 2006 12:37 am
- Location: Tel-Aviv Israel
Re: Calculating playing strength comparisons
I think that before trying to evaluate players of the past you need to have good way to evaluate rating of players of today only based only on the pgn without data about names and rating of the opponents.
I do not know about a program that exists that is good in this task
and first test for the program can be to give the program games of 100 players when every player has 10 games in the database so 1000 games (50 of the players are going to be with rating 2600-2800 and 50 of the players are going to be with rating 2100-2300)
next step is going to see if the program detect the 2600-2800 players only based on the pgn.
I suspect that there are 2100-2300 players who never missed mate in X in the relevant 10 games (because even when they won their opponent resigned clearly earlier) so missing mates is going to fail.
I suspect that methods like using difference between computer evaluation and the move can also fail because 2100-2300 players with positional style can get positions when it is easy not to make tactical mistakes when there are 2600-2800 players with more tactical style who may get in their games positions when it is hard not to do tactical mistakes.
I do not claim that it is impossible task to have a program that identify the 2600-2800 players as players with higher rating but I think that the task is not easy.
I do not know about a program that exists that is good in this task
and first test for the program can be to give the program games of 100 players when every player has 10 games in the database so 1000 games (50 of the players are going to be with rating 2600-2800 and 50 of the players are going to be with rating 2100-2300)
next step is going to see if the program detect the 2600-2800 players only based on the pgn.
I suspect that there are 2100-2300 players who never missed mate in X in the relevant 10 games (because even when they won their opponent resigned clearly earlier) so missing mates is going to fail.
I suspect that methods like using difference between computer evaluation and the move can also fail because 2100-2300 players with positional style can get positions when it is easy not to make tactical mistakes when there are 2600-2800 players with more tactical style who may get in their games positions when it is hard not to do tactical mistakes.
I do not claim that it is impossible task to have a program that identify the 2600-2800 players as players with higher rating but I think that the task is not easy.
-
- Posts: 921
- Joined: Fri Mar 10, 2006 11:21 am
- Location: Lulea, Sweden
Re: Calculating playing strength comparisons
Tony, SSDF
-
- Posts: 540
- Joined: Sat Nov 11, 2006 2:56 pm
Re: Calculating playing strength comparisons
Also, how about http://db.chessmetrics.com/CM2/PeakList.asp
Code: Select all
Player Name Average Rating 3 year peak range
#1 Garry Kasparov 2874 1989-Jan through 1991-Dec
#2 Bobby Fischer 2867 1971-Jan through 1973-Dec
#3 José Capablanca 2857 1919-Jan through 1921-Dec
#4 Emanuel Lasker 2855 1894-Jan through 1896-Dec
#5 Mikhail Botvinnik 2852 1945-Jan through 1947-Dec
#6 Alexander Alekhine 2841 1930-Jan through 1932-Dec
#7 Anatoly Karpov 2833 1988-Jan through 1990-Dec
#8 Viswanathan Anand 2822 1997-Jan through 1999-Dec
#9 Vladimir Kramnik 2815 2000-Jan through 2002-Dec
#10 Harry Pillsbury 2806 1900-Jan through 1902-Dec