http://www.physorg.com/news/2011-04-french-chess-team-text.html
They used texting to communicate with a computer operator using an engine, then used the seating to indicate rank and file of piece to be moved. Rather clever I thought. One guy would walk around the players and they had worked out a code where the guy would stop at a certain table which would represent file 2 for instance and then go to the other set of tables and stop at a place representing a certain rank so the player did not have to even have any tech with him, no wires or whatnot.
Originally posted by deeploserHere it would be due to people with weak ego's that need stroking, liking the respect they generate from other players, at least till they get banned.
Sad. What's even more sad is the people that cheat on sites like this. It's not that important. Here you're just playing for a rating. Why cheat for it?
On the professional circuit, it's all about money.
Here are the non-database engine match rate results for all of Sebastian Feller's games at the 2010 Chess Olympiad.
The analysis was done under the following conditions:
4 x AMD Phenom 2.30Ghz 4 GB RAM
Houdini 1.5 x64 Hash:640 MB Time:45s Fixed Depth:20 ply
{ Batch Summary }
http://www.chessgames.com/perl/chessgame?gid=1592256
{ Sebenik, Matej (Games: 1) }
{ Top 1 Match: 13/27 ( 48.1% ) Opponents: 21/27 ( 77.8% )
{ Top 2 Match: 19/27 ( 70.4% ) Opponents: 24/27 ( 88.9% )
{ Top 3 Match: 22/27 ( 81.5% ) Opponents: 25/27 ( 92.6% )
{ Top 4 Match: 24/27 ( 88.9% ) Opponents: 25/27 ( 92.6% )
http://www.chessgames.com/perl/chessgame?gid=1592804
{ Victor Mikhalevski (Games: 1) }
{ Top 1 Match: 20/45 ( 44.4% ) Opponents: 26/45 ( 57.8% )
{ Top 2 Match: 28/45 ( 62.2% ) Opponents: 34/45 ( 75.6% )
{ Top 3 Match: 33/45 ( 73.3% ) Opponents: 36/45 ( 80.0% )
{ Top 4 Match: 33/45 ( 73.3% ) Opponents: 39/45 ( 86.7% )
http://www.chessgames.com/perl/chessgame?gid=1593327
{ Markus, Robert (Games: 1) }
{ Top 1 Match: 13/30 ( 43.3% ) Opponents: 18/31 ( 58.1% )
{ Top 2 Match: 19/30 ( 63.3% ) Opponents: 24/31 ( 77.4% )
{ Top 3 Match: 25/30 ( 83.3% ) Opponents: 27/31 ( 87.1% )
{ Top 4 Match: 27/30 ( 90.0% ) Opponents: 29/31 ( 93.5% )
http://www.chessgames.com/perl/chessgame?gid=1593823
{ Howell, David W L (Games: 1) }
{ Top 1 Match: 20/34 ( 58.8% ) Opponents: 25/35 ( 71.4% )
{ Top 2 Match: 28/34 ( 82.4% ) Opponents: 33/35 ( 94.3% )
{ Top 3 Match: 32/34 ( 94.1% ) Opponents: 33/35 ( 94.3% )
{ Top 4 Match: 32/34 ( 94.1% ) Opponents: 35/35 ( 100.0% )
http://www.chessgames.com/perl/chessgame?gid=1594445
{ Kreisl, Robert (Games: 1) }
{ Top 1 Match: 31/48 ( 64.6% ) Opponents: 34/48 ( 70.8% )
{ Top 2 Match: 40/48 ( 83.3% ) Opponents: 39/48 ( 81.3% )
{ Top 3 Match: 44/48 ( 91.7% ) Opponents: 42/48 ( 87.5% )
{ Top 4 Match: 46/48 ( 95.8% ) Opponents: 44/48 ( 91.7% )
http://www.chessgames.com/perl/chessgame?gid=1594941
{ Alsina Leal, Daniel (Games: 1) }
{ Top 1 Match: 8/18 ( 44.4% ) Opponents: 14/19 ( 73.7% )
{ Top 2 Match: 10/18 ( 55.6% ) Opponents: 16/19 ( 84.2% )
{ Top 3 Match: 13/18 ( 72.2% ) Opponents: 18/19 ( 94.7% )
{ Top 4 Match: 16/18 ( 88.9% ) Opponents: 18/19 ( 94.7% )
http://www.chessgames.com/perl/chessgame?gid=1595532
{ Timofeev, Artyom (Games: 1) }
{ Top 1 Match: 18/29 ( 62.1% ) Opponents: 22/29 ( 75.9% )
{ Top 2 Match: 23/29 ( 79.3% ) Opponents: 25/29 ( 86.2% )
{ Top 3 Match: 23/29 ( 79.3% ) Opponents: 26/29 ( 89.7% )
{ Top 4 Match: 25/29 ( 86.2% ) Opponents: 27/29 ( 93.1% )
http://www.chessgames.com/perl/chessgame?gid=1596036
{ Gelashvili, Tamaz (Games: 1) }
{ Top 1 Match: 9/20 ( 45.0% ) Opponents: 18/20 ( 90.0% )
{ Top 2 Match: 13/20 ( 65.0% ) Opponents: 20/20 ( 100.0% )
{ Top 3 Match: 16/20 ( 80.0% ) Opponents: 20/20 ( 100.0% )
{ Top 4 Match: 16/20 ( 80.0% ) Opponents: 20/20 ( 100.0% )
http://www.chessgames.com/perl/chessgame?gid=1596544
{ Efimenko, Zahar (Games: 1) }
{ Top 1 Match: 6/10 ( 60.0% ) Opponents: 8/10 ( 80.0% )
{ Top 2 Match: 8/10 ( 80.0% ) Opponents: 9/10 ( 90.0% )
{ Top 3 Match: 9/10 ( 90.0% ) Opponents: 10/10 ( 100.0% )
{ Top 4 Match: 9/10 ( 90.0% ) Opponents: 10/10 ( 100.0% )
{ Feller, Sebastien (Games: 9) }
{ Top 1 Match: 186/264 ( 70.5% ) Opponents: 138/261 ( 52.9% )
{ Top 2 Match: 224/264 ( 84.8% ) Opponents: 188/261 ( 72.0% )
{ Top 3 Match: 237/264 ( 89.8% ) Opponents: 217/261 ( 83.1% )
{ Top 4 Match: 247/264 ( 93.6% ) Opponents: 228/261 ( 87.4% )
{ All Players }
{ Top 1 Match: 324/525 ( 61.7% )
{ Top 2 Match: 412/525 ( 78.5% )
{ Top 3 Match: 454/525 ( 86.5% )
{ Top 4 Match: 475/525 ( 90.5% )
Originally posted by wargamer66It means that Feller played far more engine-like chess than his opponents, especially with regards to top 1 & 2 choice moves in any given position.
Can you explain what all that data means?
However, only 9 games were analysed & some of these had very few non-database moves so the data is hardly conclusive when used with this methodology.
If Feller had achieved these engine match rate %'s from 20 objectively chosen OTB games, all with 20+ non-database moves, then he would have massively out-performed any other OTB GM (and indeed pre-computer era CC World Championship finalist) who has been tested so far using this technique.