• Title/Summary/Keyword: soccer league

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Prediction of K-league soccer scores using bivariate Poisson distributions (이변량 포아송분포를 이용한 K-리그 골 점수의 예측)

  • Lee, Jang Taek
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1221-1229
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    • 2014
  • In this paper we choose the best model among several bivariate Poisson models on Korean soccer data. The models considered allow for correlation between the number of goals of two competing teams. We use an R package called bivpois for bivariate Poisson regression models and the data of K-league for season 1983-2012. Finally we conclude that the best fitted model supported by the AIC and BIC is the bivariate Poisson model with constant covariance. The zero and diagonal inflated models did not improve the model fit. The model can be used to examine home-away effect, goodness of fit, attack and defense parameters.

Analysis of Football Fans' Uniform Consumption: Before and After Son Heung-Min's Transfer to Tottenham Hotspur FC (국내 프로축구 팬들의 유니폼 소비 분석: 손흥민의 토트넘 홋스퍼 FC 이적 전후 비교)

  • Choi, Yeong-Hyeon;Lee, Kyu-Hye
    • Journal of Intelligence and Information Systems
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    • v.26 no.3
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    • pp.91-108
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    • 2020
  • Korea's famous soccer players are steadily performing well in international leagues, which led to higher interests of Korean fans in the international leagues. Reflecting the growing social phenomenon of rising interests on international leagues by Korean fans, the study examined the overall consumer perception in the consumption of uniform by domestic soccer fans and compared the changes in perception following the transfers of the players. Among others, the paper examined the consumer perception and purchase factors of soccer fans shown in social media, focusing on periods before and after the recruitment of Heung-Min Son to English Premier League's Tottenham Football Club. To this end, the EPL uniform is the collection keyword the paper utilized and collected consumer postings from domestic website and social media via Python 3.7, and analyzed them using Ucinet 6, NodeXL 1.0.1, and SPSS 25.0 programs. The results of this study can be summarized as follows. First, the uniform of the club that consistently topped the league, has been gaining attention as a popular uniform, and the players' performance, and the players' position have been identified as key factors in the purchase and search of professional football uniforms. In the case of the club, the actual ranking and whether the league won are shown to be important factors in the purchase and search of professional soccer uniforms. The club's emblem and the sponsor logo that will be attached to the uniform are also factors of interest to consumers. In addition, in the decision making process of purchase of a uniform by professional soccer fan, uniform's form, marking, authenticity, and sponsors are found to be more important than price, design, size, and logo. The official online store has emerged as a major purchasing channel, followed by gifts for friends or requests from acquaintances when someone travels to the United Kingdom. Second, a classification of key control categories through the convergence of iteration correlation analysis and Clauset-Newman-Moore clustering algorithm shows differences in the classification of individual groups, but groups that include the EPL's club and player keywords are identified as the key topics in relation to professional football uniforms. Third, between 2002 and 2006, the central theme for professional football uniforms was World Cup and English Premier League, but from 2012 to 2015, the focus has shifted to more interest of domestic and international players in the English Premier League. The subject has changed to the uniform itself from this time on. In this context, the paper can confirm that the major issues regarding the uniforms of professional soccer players have changed since Ji-Sung Park's transfer to Manchester United, and Sung-Yong Ki, Chung-Yong Lee, and Heung-Min Son's good performances in these leagues. The paper also identified that the uniforms of the clubs to which the players have transferred to are of interest. Fourth, both male and female consumers are showing increasing interest in Son's league, the English Premier League, which Tottenham FC belongs to. In particular, the increasing interest in Son has shown a tendency to increase interest in football uniforms for female consumers. This study presents a variety of researches on sports consumption and has value as a consumer study by identifying unique consumption patterns. It is meaningful in that the accuracy of the interpretation has been enhanced by using a cluster analysis via convergence of iteration correlation analysis and Clauset-Newman-Moore clustering algorithm to identify the main topics. Based on the results of this study, the clubs will be able to maximize its profits and maintain good relationships with fans by identifying key drivers of consumer awareness and purchasing for professional soccer fans and establishing an effective marketing strategy.

Forecasting the Results of Soccer Matches Using Poisson Model (포아송 확률 모형을 이용한 축구 경기 결과 예측)

  • Seong, Hyun;Chang, Woo-Jin
    • IE interfaces
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    • v.20 no.2
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    • pp.133-141
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    • 2007
  • As the sales of the Sports Toto, the Korean lottery on sports games, have increased significantly in recent five years, interest in predicting the various results of sports matches has also been raised. Dixon and Coles (1997) proposed a bivariate Poisson model to predict the results of English soccer league matches. In this paper, we pay attention to the physical condition of players that may affect soccer match results and revise Dixon and Coles' model to consider probable fatigue due to the players' short rest followed by their frequent matches. We observed the fatigue effect in the match results, and found positive betting returns available when using our prediction model. Furthermore, the validity of probability-based odds in European and Korean betting markets is analyzed.

The Use of Nutritional Supplements in Korean Elite Soccer Players (한국 프로축구 선수들의 영양보충제 섭취 실태)

  • Lee Hyun-Sook
    • Journal of Nutrition and Health
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    • v.39 no.3
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    • pp.299-306
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    • 2006
  • This study was done to investigate the use of nutritional supplements (NS) in Korean elite soccer players using an anonymous questionnaire. NS were classified into health supplements, manufactured health food supplements, chinese medicines & tonic foods, and nutrient supplements. Information was sought on the type of NS and factors that might influence supplement use including selected demographic parameters and health related variables. The data were collected from 241 athletes (aged $24.6{\pm}3.8$ years) in 9 professional soccer club. The prevalence of NS use among the subjects was 81.3%. Health supplements were used most frequently and nutrient supplement drug was the second one. Among the health supplements, weight/muscle gainer and calorie replacement product were most frequently used. Vitamin supplements were most frequently used among all nutrient supplement drugs. Users of NS were higher age (p<0.05) duration of exercise (p<0.05), and income (p<0.05) than non-users. The married (p<0.05) and a member of K-league (p<0.01) tended to have higher prevalence of NS use. The main adviser of NS were family (55.3%) and oneself (39%) instead of coach or sports nutritionist. Although NS use, only 26.2% certainly check up nutritional information on their used NS. Among the subjects, 84.5% of them felt that NS use were improved athletic performance, and 86.5% of them will to keep on taking supplement. These data suggest that a large number of elite soccer players use NS and these players may require education about healthy nutritional supplement practice and on the proper use of nutritional supplements.

A Hierachical Controller for Soccer Robots (축구로봇을 위한 계층적 제어기)

  • Lee, In-Jae;Baek, Seung-Min;Sohn, Kyung-Oh;Kuc, Tae-Yong
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.9
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    • pp.803-812
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    • 2000
  • In this paper we introduce a model based centralized hierarchical controller for cooperative team of soccerplaying multiple mobile robots. The hierarchical controller is composed of high-level and low-level controllers. Using the coordinates information of objects from the vision are simple models of multiple mobile tobots on the playground. Subsequently, the high level controller selects and action model corresponding to the perceived state transition model and generates subgoal and goal-velocity, from which the low level controller generates trajectory of each wheel velocity of the robot. This two layered simplicity. The feasubility of the control strategy has been demonstrated in an implementation for real soccer games at a MiroSot league.

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A study on points per game using scored goal per game and lossed goal per game in the union of European football professional league (유럽 리그에서 득점과 실점을 이용한 승점 추정에 관한 연구)

  • Shin, Sang-Keun;Cho, Yong-Ju;Cho, Young-Seuk
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.5
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    • pp.837-844
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    • 2009
  • This study used data of soccer match 5170 games from 1950 to 2008 in five European football professional leagues. We compared average of SGPG (scored goal per game) in each two and three points of win. And we compared average of SGPG in each leagues. In order to predict PtsG (points per game), we executed regression analysis using SGPG and LGPG (lossed goal per game). Finally, We applied regression analysis to a K-league.

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Effects of Y-Balance Test Difference of the Ankle Dorsi-flexion Range of Motion in K3 Soccer Players

  • Gyu-Ho Choi;Jin-Wook Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.11
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    • pp.161-168
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    • 2023
  • The purpose of this study was to determine the relationship with the Y-Balance Test, which evaluates dynamic balance ability according to the ankle joint dorsiflexion range of motion in a non-weight bearing posture. This study involved 27 male soccer players who regularly participate in the K3 League with more than 10 years of soccer experience. The Pearson Rank Correlation Coefficient was used to verify the relationship between ankle joint dorsiflexion and dynamic balance ability. The results of this study showed significant differences in PLRD (P<.05) and CS (P<.01) in the HADR group. A significant correlation between ankle joint dorsi-flexion range of motion and severity was found only in PMRD, PLRD, and CS. Therefore, a decrease in ankle joint dorsi-flexion is associated with a decrease in balance ability. In order to prevent injuries in soccer players, it is believed that regular evaluation of ankle joint range of motion as well as training to improve knee and hip joint strength and proprioception are necessary.

The Effects of Coach Turnover and Sport Team Performance: Evidence from the Korean Professional Soccer League 1983-2013 (한국프로축구팀의 감독교체가 팀 경기성과에 미치는 영향)

  • Kim, Phil-Soo;Kim, Dae-Kwon
    • 한국체육학회지인문사회과학편
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    • v.54 no.4
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    • pp.329-345
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    • 2015
  • Our study examines the relationship between coach turnover and professional sport team performance using the evidences of Korean professional soccer teams. We collected panel dataset of 304 team-year observations and 96 coaches from Korean professional soccer league during the period of 1983-2013. Among them, our final sample is comprised of 226 observations and 81 coaches manifested for fixed-effect generalized least square (GLS) regression analysis. Drawing on sport management literatures and organizational learning theory, we argue that it takes time for a new head coach to take charge of the team in which the new leader who secure more time to interact with organization members is better able to remodel and improve team performance. Our empirical findings reveal that off-season coach turnover has a positive impact while turnover during the season has its negative influences on team performance. In addition, we find that subsequent team performance in association of off-season coach turnover is comparably better than that of on-season succession. The results show that coach succession rendered from inside the professional soccer team mediates the relationship between coach turnover and team performance. Our findings imply that coach turnover in professional sport teams is a significant factor affecting team performance.

Prediction of English Premier League Game Using an Ensemble Technique (앙상블 기법을 통한 잉글리시 프리미어리그 경기결과 예측)

  • Yi, Jae Hyun;Lee, Soo Won
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.5
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    • pp.161-168
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    • 2020
  • Predicting outcome of the sports enables teams to establish their strategy by analyzing variables that affect overall game flow and wins and losses. Many studies have been conducted on the prediction of the outcome of sports events through statistical techniques and machine learning techniques. Predictive performance is the most important in a game prediction model. However, statistical and machine learning models show different optimal performance depending on the characteristics of the data used for learning. In this paper, we propose a new ensemble model to predict English Premier League soccer games using statistical models and the machine learning models which showed good performance in predicting the results of the soccer games and this model is possible to select a model that performs best when predicting the data even if the data are different. The proposed ensemble model predicts game results by learning the final prediction model with the game prediction results of each single model and the actual game results. Experimental results for the proposed model show higher performance than the single models.

Game-Scheduling by Mathematical Programming and Expert System (수리계획법과 전문가 시스템을 이용한 경기 일정 작성)

  • Jo, Hyeon-Bo;Park, Sun-Dal
    • Journal of Korean Institute of Industrial Engineers
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    • v.14 no.2
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    • pp.53-61
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    • 1988
  • Games such as baseball, soccer are scheduled by a given game type such as tournament, league or their mixed form. The objective of this paper is to find an efficient game-scheduling method with respect to traveling distance, break-time and other conditions. In this paper we first present two models which minimize traveling distance. The first model that a match is played once each other is solved by a heuristic method. In the second model that a match is played more than once, teams are paired by a modified 0 - 1 programming, and the pairs are rearranged in order to generate a number of workable schedules. Then Expert Systems is applied to solve breake-time and other conditions. In order to represent expertise's knowledge effectively, we present a new design of knowledge-base and data-base, inference engine including many rules and meta-rules which controls the global system. In knowledge-base, binary relation among various attributes is used to ease not only knowledge acquisition but also system execution.

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