TY - GEN
T1 - Understanding distributions of chess performances
AU - Regan, Kenneth W.
AU - Macieja, Bartlomiej
AU - Haworth, Guy Mc C.
PY - 2012
Y1 - 2012
N2 - This paper studies the population of chess players and the distribution of their performances measured by Elo ratings and by computer analysis of moves. Evidence that ratings have remained stable since the inception of the Elo system in the 1970's is given in three forms: (1) by showing that the population of strong players fits a straightforward logistic-curve model without inflation, (2) by plotting players' average error against the FIDE category of tournaments over time, and (3) by skill parameters from a model that employs computer analysis keeping a nearly constant relation to Elo rating across that time. The distribution of the model's Intrinsic Performance Ratings can therefore be used to compare populations that have limited interaction, such as between players in a national chess federation and FIDE, and ascertain relative drift in their respective rating systems.
AB - This paper studies the population of chess players and the distribution of their performances measured by Elo ratings and by computer analysis of moves. Evidence that ratings have remained stable since the inception of the Elo system in the 1970's is given in three forms: (1) by showing that the population of strong players fits a straightforward logistic-curve model without inflation, (2) by plotting players' average error against the FIDE category of tournaments over time, and (3) by skill parameters from a model that employs computer analysis keeping a nearly constant relation to Elo rating across that time. The distribution of the model's Intrinsic Performance Ratings can therefore be used to compare populations that have limited interaction, such as between players in a national chess federation and FIDE, and ascertain relative drift in their respective rating systems.
UR - https://www.scopus.com/pages/publications/84865047673
U2 - 10.1007/978-3-642-31866-5_20
DO - 10.1007/978-3-642-31866-5_20
M3 - Conference contribution
AN - SCOPUS:84865047673
SN - 9783642318658
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 230
EP - 243
BT - Advances in Computer Games - 13th International Conference, ACG 2011, Revised Selected Papers
T2 - 13th International Conference on Advances in Computer Games, ACG 2011
Y2 - 20 November 2011 through 22 November 2011
ER -