• Title/Summary/Keyword: English Premier League

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Analyzing How English Premier League Teams Utilize YouTube Channel

  • Han, Sukhee
    • International journal of advanced smart convergence
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    • v.9 no.3
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    • pp.28-35
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    • 2020
  • YouTube has been gaining popularity all around the world. A lot of companies have created their own YouTube channels to leverage them in diverse ways; they upload commercial videos, show people user reviews, and conduct promotions with their products. Sports clubs are no exception; they upload diverse videos to gain popularity and to interact with their fans. This study analyzes how the English Premier League (EPL) clubs leverage their YouTube channel as soccer (football in European nations) players. YouTube activities of 20 clubs during the 2019/2020 Season are investigated. After careful consideration, we decide to examine two factors of the respective channel of the YouTube: 1) Popularity (the number of views and subscribers) 2) Contents of videos (e.g. interviews and highlight scenes). The study followingly inspects the benefits of utilizing YouTube channels and of direct communication between sports clubs and fans in online settings.

Predicting football scores via Poisson regression model: applications to the National Football League

  • Saraiva, Erlandson F.;Suzuki, Adriano K.;Filho, Ciro A.O.;Louzada, Francisco
    • Communications for Statistical Applications and Methods
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    • v.23 no.4
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    • pp.297-319
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    • 2016
  • Football match predictions are of great interest to fans and sports press. In the last few years it has been the focus of several studies. In this paper, we propose the Poisson regression model in order to football match outcomes. We applied the proposed methodology to two national competitions: the 2012-2013 English Premier League and the 2015 Brazilian Football League. The number of goals scored by each team in a match is assumed to follow Poisson distribution, whose average reflects the strength of the attack, defense and the home team advantage. Inferences about all unknown quantities involved are made using a Bayesian approach. We calculate the probabilities of win, draw and loss for each match using a simulation procedure. Besides, also using simulation, the probability of a team qualifying for continental tournaments, being crowned champion or relegated to the second division is obtained.

Exploring K-League Club's YouTube Channel: Focusing on Seoul E-Land Football Club

  • Han, Sukhee
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.3
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    • pp.12-16
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    • 2021
  • Soccer is one of the popular sports globally, and South Korea is no exception; the professional domestic soccer tournament has been held in South Korea since 1983. The national soccer team in South Korea has shown outstanding performances, hosting the 2002 World Cup and achieving a bronze medal at the London 2012 Olympic Games and second place at the 2019 U-20 World Cup. In addition, one of the South Korean soccer players, Heung-min Son, has played a remarkable role in the English Premier League. Like other global soccer clubs, South Korean domestic soccer clubs create and manage their own YouTube channel to interact with fans and keep them updated. In this study, we explore how and why Seoul E-Land Football Club (SEFC) utilizes its YouTube channel. SEFC is distinctive in that they are playing at the second division, their home ground is based in Seoul, and they are sponsored by a company run on Christian values. We analyze one of the soccer club's YouTube channels multi-dimensionally and discover the roles of YouTube.

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.

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.

Analyzing Sport Documentary Online - Focus on All or Nothing: Manchester City on Prime Video

  • Han, Sukhee
    • International journal of advanced smart convergence
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    • v.8 no.3
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    • pp.20-26
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    • 2019
  • This study multi-dimensionally analyzes a sport documentary, All or Nothing: Manchester City, which is an original content on Prime Video, an American Over-The-Top (OTT) platform. Due to the success of South Korean soccer player Heung-min Son who plays Tottenham Hotspur of England, the popularity of the English Premier league is recently the greatest in South Korea along with the fact that soccer has been a popular sport for a long time. This study focuses on the success of the soccer club, Manchester City, which has become a rising star with its huge investment from United Arab Emirates; Manchester City won the league four times since 1992/1993 season. Also, during the 2017/2018 season, the background the documentary, Manchester City won the league title with new records, which shows the greatness of Manchester City. Especially, this study examines the documentary by 1) Story 2) Type of Scene 3) How to watch. Thus, this study explores not only the aspects of team-themed sport documentary that shows how and why Manchester City is excellent, but also the traits of the original content that explores the structure of the media platform.