• Title/Summary/Keyword: Sports league

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Major League Soccer and its U.S. Fan Base

  • Junsang AHN
    • Journal of Sport and Applied Science
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    • v.8 no.2
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    • pp.1-12
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    • 2024
  • Purpose: The purpose of this study is to understand fans' perception of the MLS. Particularly, this study investigates both the avid fan's perception of the MLS as well as the same perception in a potentially larger audience. This study aims at (1) segmenting the findings into three groups, (2) understanding the characteristics of these groups from the sport marketing prospective and (3) comparing the three groups to see whether there are any similarities and differences. Research design, data, and methodology: Using motivational factors alongside the 4P's of marketing, these three segments were analyzed and their similarities and differences were compared. An online survey was created and distributed through different MLS databases. Results: Prior to the distribution, a few hypotheses were made regarding the motivational factors of fans; specifically, that the quality of play has led to a lack of interest in the league and that the presence of star athletes has the potential to bring in more fans for the league. The quality of play and star athletes are important and thus a bigger emphasis needs to be placed on the designated player rule. At the same time, more television coverage as well as more exhibition games with international teams can generate more buzz for the league and garner more fans. Conclusions: This study explored motivational factors which support fanship of Major League Soccer. Further implications were discussed.

Effect of We-ness and Flow on the Spectator Promotion of K-League (우리의식과 플로우가 K-리그 관람촉진에 미치는 영향)

  • Yoon, Jong-Hyun;Han, Se-Hee;Kim, Dong-Tae
    • The Journal of the Korea Contents Association
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    • v.14 no.1
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    • pp.435-443
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    • 2014
  • The aim of this study was to look for the cause of shortage of K-League spectators from a consumer's perspective and to offer solutions. For this, we offered enhancement method of the K-League spectators through dual path model based on existing relative researches. The first path involved consumer reaction to external factors of the K-League game. This path explained relational view(=we-ness) of consumers on K-League game(Hypothesis 1, 2). The second path explained personal view on K-League game. This path means consumer reaction to K-League game itself(Hypothesis 3, 4). The empirical study was based on a field survey and structural equation model. The results showed that we-ness positively affected team loyalty(Hypothesis 1) and the team loyalty positively affected spectating intentions(Hypothesis 2). It also revealed that flow of K-League game positively affected consumer satisfaction(Hypothesis 3). Finally consumer satisfaction was found to affect spectating intentions(Hypothesis 4). The significance of present study is to extend scope of research which is related with cheerleading of sports game. And this study emphasize the importance of we-ness and flow in sports game.

Humeral Torque in Youth Baseball Pitchers: Implications for the Development of Little League Shoulder and Humeral Retroversion (청소년기 야구 투수의 상완골 회전력: 소아 야구 견 및 상완골 후염의 발달에 미치는 영향)

  • Kim Young-Kyu;Sabick Michelle B.;Torry Michael R.;Hawkins Richard J.
    • Journal of Korean Orthopaedic Sports Medicine
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    • v.2 no.1
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    • pp.62-70
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    • 2003
  • Purpose: We examined the kinematics and kinetics of the shoulder in youth baseball pitchers in light of the mechanisms of development of little league shoulder and humeral retrotorsion. Materials and Methods: The joint kinematics and the net force and torque acting on the humerus were calculated in fourteen youth pitchers throwing in a simulated game. Results: The major force component acting on the humerus was a tensile force of 378$\pm$81 N that peaked just after ball release. The predominant torque on the humerus was an external rotation torque about the long axis of the humerus. This torque reached a peak value of 35.3$\pm$6.7 Nm about 73$\%$through the pitching motion. This torque is approximately 66$\%$ of the torque required to fracture of the adult humerus. Conclusions: The direction of the humeral torque was consistent with the development of increased humeral retrotorsion in the throwing arm. Shear stress arising from the high torque during the late cocking phase likely leads to deformation the relatively weak proximal humeral epiphysis. The external rotation torque applied to the humerus during the pitch also agrees with the proposed mechanism for development little league shoulder, which has been hypothesized to be due to rotational stresses acting on the epiphysis during the throwing motion.

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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.

Predicting Win-Loss of League of Legends Using Bidirectional LSTM Embedding (양방향 순환신경망 임베딩을 이용한 리그오브레전드 승패 예측)

  • Kim, Cheolgi;Lee, Soowon
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.2
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    • pp.61-68
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    • 2020
  • E-sports has grown steadily in recent years and has become a popular sport in the world. In this paper, we propose a win-loss prediction model of League of Legends at the start of the game. In League of Legends, the combination of a champion statistics of the team that is made through each player's selection affects the win-loss of the game. The proposed model is a deep learning model based on Bidirectional LSTM embedding which considers a combination of champion statistics for each team without any domain knowledge. Compared with other prediction models, the highest prediction accuracy of 58.07% was evaluated in the proposed model considering a combination of champion statistics for each team.

Prediction of League of Legends Using the Deep Neural Network (DNN을 활용한 'League of Legends' 승부 예측)

  • No, Si-Jae;Lee, Hye-Min;Cho, So-Eun;Lee, Doh-Youn;Moon, Yoo-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.217-218
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    • 2021
  • 본 논문에서는 다층 퍼셉트론을 활용하여 League of Legends 게임의 승패를 예측하는 Deep Neural Network 프로그램을 설계하는 방법을 제안한다. 연구 방법으로 한국 서버의 챌린저 리그에서 행해진 약 26000 경기 데이터 셋을 분석하여, 경기 도중 15분 데이터 중 드래곤 처치 수, 챔피언 레벨, 정령, 타워 처치 수가 게임 결과에 유의미한 영향을 끼치는 것을 확인하였다. 모델 설계는 softmax 함수보다 sigmoid 함수를 사용했을 때 더 높은 정확도를 얻을 수 있었다. 실제 LOL의 프로 게임 16경기를 예측한 결과 93.75%의 정확도를 도출했다. 게임 평균시간이 34분인 것을 고려하였을 때, 게임 중반 정도에 게임의 승패를 예측할 수 있음이 증명되었다. 본 논문에서 설계한 이 프로그램은 전 세계 E-sports 프로리그의 승패예측과 프로팀의 유용한 훈련지표로 활용 가능하다고 사료된다.

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Soccer league optimization-based championship algorithm (SLOCA): A fast novel meta-heuristic technique for optimization problems

  • Ghasemi, Mohammad R.;Ghasri, Mehdi;Salarnia, Abdolhamid
    • Advances in Computational Design
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    • v.7 no.4
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    • pp.297-319
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    • 2022
  • Due to their natural and social revelation, also their ease and flexibility, human collective behavior and teamwork sports are inspired to introduce optimization algorithms to solve various engineering and scientific problems. Nowadays, meta-heuristic algorithms are becoming some striking methods for solving complex real-world problems. In that respect in the present study, the authors propose a novel meta-innovative algorithm based on soccer teamwork sport, suitable for optimization problems. The method may be referred to as the Soccer League Optimization-based Championship Algorithm, inspired by the Soccer league. This method consists of two main steps, including: 1. Qualifying competitions and 2. Main competitions. To evaluate the robustness of the proposed method, six different benchmark mathematical functions, and two engineering design problem was performed for optimization to assess its efficiency in achieving optimal solutions to various problems. The results show that the proposed algorithm may well explore better performance than some well-known algorithms in various aspects such as consistency through runs and a fast and steep convergence in all problems towards the global optimal fitness value.