This study has analyzed 33 domestic games and 26 overseas games by targeting women curling teams of home and abroad, and looked into what main performance variables are, how level differences of domestic team appear, and from which variables differences between winning team and defeated team come out in overseas teams. Also, main strategies has been suggested that are used most commonly for kick-off offense and latter offense, blank strategy in order to prepare countermeasures, and digital media DB has been constructed that can utilize proper countermeasures easily and simply, and a model has been proposed for predicting victory/defeat. To accomplish such goal, a variance analysis has been carried out by dividing domestic teams into each level after calculating frequency and ratio with SPSS18.0, and t-test analysis has been carried out by overseas teams. Also, the accuracy of victory/defeat classifications has been suggested by using an artificial neural networks method. As a result, a lot of technical proficiency differences have appeared among Class A(upper rank), Class B(middle rank), and Class C(lower rank) in domestic teams. The ‘Guard’ which is an aggressive variable has turned out to be used more in upper and middle teams than in lower team, and the ‘Tab Back’ has been used more in upper rank than in lower rank. Furthermore, regarding the average comparison on victory/defeat in international games, victory teams have more significant difference(p<.05) than defeated teams in accuracy of shot techniques and strategy accomplishing abilities, and victory teams have been turned out to use less ‘Drew’ and more ‘Take’ than defeated teams significantly in Drew and Take’ technique variable. Finally, the accuracy of a prediction model has been 91.7% for learning and 92.9% for the test result to predict the victory/defeat in international games through the artificial neutral network analysis. The prediction accuracy of domestic games was 81.0% for learning and 71.4% for the test.
Purpose The purpose of this study is to investigate the characteristics of the winners and the losers of curling games to provide the winner strategies for the curling stakeholder. Methods For this study, data was collected from 2014 Sochi Winter Olympics web-site(http://sochi2014.curlingevents.com), which covers 199 games in total. Using the collected data, we extracted additional data such as the shot types and accuracy per players, team average score per end, whether or not with hammer per end and so on. and then a Chi-square test in statistic package SPSS 23.0 was used. The statistical significance was considered with p< 0.05. Results As a result, it was found that there were statistically significant difference between winners and losers of curling game on the shot type and accuracy(Draw, Front and Clearing). It was also found that there was not statistically significant between winners and losers about the number of blank end per end. It was found that 9th end average score was relatively lower than the other end in both the winners and the losers. It was found that the characteristics of the winners tends to be successful in more point from 5th end to 8th end with hammer and steal without hammer. Conclusion In conclusion, the strategies to win the curling game is to improve the shot performance of Lead and Skip, to organize the operation sequence for the successful blank end, and to develop the database and software in curling.
