Study on Game Information Analysis for Support to Tactics and Strategies in Curling

Curling is a winter sport often referred to as “chess on ice”. There are three factors influencing game performance in this game: physical factor, human factor, and strategic/tactical factor. The strategic/tactical factor is considered as the most important at the top level. In this paper, we report on new knowledge we obtained regarding the relationship between shot accuracy and difference in game score, and difference in correlation for each level in 378 games, covering around 60,000 shots as a research subject of Curling Informatics project.

[1]  Michal Ptaszynski,et al.  Toward curling informatics — Digital scorebook development and game information analysis , 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).

[2]  Soowon Lee,et al.  Curling Analysis based on the Possession of the Last Stone Per End , 2013 .

[3]  Mark R. A. Shegelski,et al.  The motion of a curling rock: Analytical approach , 2000 .

[4]  M. Denny,et al.  Curling rock dynamics: Towards a realistic model , 2002 .

[5]  Katsumi Miyakoshi,et al.  DEVELOPMENT OF CURLING BRUSH FOR MEASURING FORCE EXERTED DURING SWEEPING , 2012 .

[6]  John L Bradley,et al.  The sports science of curling: a practical review. , 2009, Journal of sports science & medicine.

[7]  Norikazu Maeno,et al.  Dynamics and curl ratio of a curling stone , 2014 .

[8]  S. Paul Test for the equality of several correlation coefficients , 1989 .

[9]  Takeshi Ito,et al.  Proposal and implementation of "digital curling" , 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).

[10]  Masahito Yamamoto,et al.  Digital curling strategy based on game tree search , 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).

[11]  Michal Ptaszynski,et al.  Advances in Curling Game Information Analysis by Considering Starting Position , 2017, icSPORTS.

[12]  David G. Behm Periodized Training Program of the Canadian Olympic Curling Team , 2007 .

[13]  Kimura Masaomi,et al.  A Study of Policy-Gradient Methods in Non-Markov Decision Porcesses -- Application to a Curling Game , 2007 .

[14]  Michal Ptaszynski,et al.  Informatics to Support Tactics and Strategies in Curling , 2016, International Journal of Automation Technology.

[15]  Michal Ptaszynski,et al.  Analysis of Curling Team Strategy and Tactics using Curling Informatics , 2016, icSPORTS.

[16]  T. Tsuji,et al.  Analysis of Human Hand Movements Using a Virtual Curling System , 2003 .