• Title/Summary/Keyword: KBO

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Batting index prediction model 2017 (2017년 한국프로야구 타자력 예측모형 개발)

  • Hong, Chong Sun;Shin, Dong Sik
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.3
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    • pp.635-645
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    • 2017
  • In this paper, we propose batting index prediction models of 2017. Due to the insufficiency of KBO pitchers data, batting index prediction models of 2016 has been developed based on elected eight batting index collecting the past three years data of MLB and KBO. It has been found that this prediction model fits well to both MLB and KBO, and the KBO model fits better than MLB in some cases. Using these prediction models, we analyzed and compared 2016's estimated values for the batting index of MLB and KBO. With the relation results between batting index prediction and batter's age for MLB and KBO, it can be determined that there is no relationship between the significant batting index and ages.

Prediction of KBO playoff Using the Deep Neural Network (DNN을 활용한 'KBO' 플레이오프진출 팀 예측)

  • Ju-Hyeok Park;Yang-Jae Lee;Hee-Chang Han;Yoo-Lim Jun;Yoo-Jin Moon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.315-316
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    • 2023
  • 본 논문에서는 딥러닝을 활용하여 KBO (Korea Baseball Organization)의 다음 시즌 플레이오프 진출 확률을 예측하는 Deep Neural Network (DNN) 시스템을 설계하고 구현하는 방법을 제안한다. 연구 방법으로 KBO 각 시즌별 데이터를 1999년도 데이터부터 수집하여 분석한 결과, 각 시즌 데이터 중 경기당 평균 득점, 타자 OPS, 투수 WHIP 등이 시즌 결과에 유의미한 영향을 끼치는 것을 확인하였다. 모델 설계는 linear, softmax 함수를 사용하는 것보다 relu, tanh, sigmoid 함수를 사용했을 때 더 높은 정확도를 얻을 수 있었다. 실제 2022 시즌 결과를 예측한 결과 88%의 정확도를 도출했다. 폭투의 수, 피홈런 등 가중치가 높은 변수의 값이 우수할 경우 시즌 결과가 좋게 나온다는 것이 증명되었다. 본 논문에서 설계한 이 시스템은 KBO 구단만이 아닌 모든 야구단에서 선수단을 구성하는데 활용 가능하다고 사료된다.

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KBO Win/Lose Predict Using Innings Data in AI Environments (인공지능 환경에서 이닝별 데이터를 이용한 KBO 승패 예측)

  • Kim, Tae-Hun;Lim, Seong-Won;Koh, Jin-Gwang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.1028-1030
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    • 2020
  • 과거 몇 년간의 데이터를 기반으로 현재 KBO 승패를 예측하고자 하는 것으로, 경기 초반 페이스가 얼마나 승패에 영향을 미치는지 파악하고자 한다. 경기의 이닝별 데이터로 딥러닝·머신러닝을 이용해 승리 팀을 예측하여 리그 순위를 예측하고, Flask 웹 프레임워크를 통해 입력값을 받아 예측해 주는 웹사이트를 구축하였다.

Value Evaluation Model for Korean Professional Baseball Players (한국프로야구선수의 가치평가모형)

  • Oh, Taeyeon;Lee, Young Hoon
    • Journal of Labour Economics
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    • v.39 no.2
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    • pp.113-139
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    • 2016
  • The purpose of this study is to establish evaluation model that can explain marginal effects of baseball players of Korean Baseball Organization (KBO) on their team winnings in terms of productivity. We proposed econometric model with using variables that are provided from official homepage of KBO to overcome the complexity of mainly used productivity index: wins above replacement (WAR). Also, compare to the previous studies such as Scully(1974) or Krautmann(1999) that using limited indices of baseball stats, this study included 61 indices that are provided from official homepage of KBO. We estimated regression based WAR(RBWAR) by conducting panel regression with each team's statistics data of 2002 to 2014. As a results, RBWAR shows 0.869 correlation coefficient for batters and 0.882 for pitchers with WAR in 2014 that can be concluded that two indices shows similar results. From the results of estimation, we analyze the relationship between productivity and actual contract of free agent players in 2015 and it showed that teams have contracted reasonably.

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Alternative hitting ability index for KBO (한국프로야구에서 타자력 지수 제안)

  • Hong, Chong Sun;Kim, Jae Young;Shin, Dong Sik
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.3
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    • pp.677-687
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    • 2016
  • Among lots of sabermetric statistics for baseball batters' ability, the wins above replacement (WAR) is the most popular statistic in MLB. However, there exists a difficulty applying WAR to KBO, since KBO data do not have position adjustment, league adjustment and park factor which are essential in calculating WAR. In this paper, using five statistics for both KBO and MLB qualified batters, we propose hitting ability index (HAI), an alternative sabermetric indices to represent batters' ability. Comparing HAI with WAR of MLB batters, we evaluate the validity of HAI and then applied HAI to 2015 KBO data in which HAI is analyzed statistically with respect to different teams, ages, and positions. Moreover, the linear relationship between KBO batter's HAI and their annual salary is discussed. Grouping 46 KBO batters based on confidence region of the regression model for annual salary, we also statistically investigate batter's annual salary in these groups with respect to several factors.

The Effect of Professional Sport Spectator's Experience Economy Factors on Satisfaction: Focused on Mediating Effects of Attachment and a Sense of Community

  • LEE, Hyuk-Jin;JUNG, Sam-Kwon;SEONG, Myeong-Hee
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.3
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    • pp.269-282
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    • 2019
  • The purpose of this study is to investigate the relationship between the spectator experience and satisfaction with a focus on attachment and a sense of community. The survey was given to random spectators who watched KBO (The Korea Baseball Organization) games in 2018. With 189 surveyed participants, this study used exploratory factor analysis and reliability analysis to verify the reliability and validity of the measured variables. The hierarchical multiple regression correlation was employed as a statistical method for the hypotheses of this study. The findings showed that spectators' experiences have influences on satisfaction. Among the experience factors, education and entertainment affect attachment, and education has the only significant influence on a sense of community. In addition, spectators' attachment and a sense of community positively influence satisfaction. Attachment and a sense of community have a relatively mediated effect on spectators' experiences and satisfaction. This study confirmed the need for various spectator experiences at KBO games, and the importance of place attachment or a sense of community.

The Characteristics of Cultural Sustainability in Architectural Design of MLB Ballparks (MLB 구장의 건축 디자인에 나타난 문화적 지속가능성의 특성)

  • Kim, Kwang-Hoe;Lee, Young-Han
    • KIEAE Journal
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    • v.15 no.6
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    • pp.93-100
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    • 2015
  • Purpose: Ballparks of KBO which were built by local governments and operated for baseball game-centered have been required more sustainable development according to going into low growth phase in Korea recently. MLB ballparks with the teams having 100 year old tradition have been sustainable-developed economically, socially, environmentally and culturally. This research is to study the characteristics of cultural sustainability in architectural design of 30 MLB parks. Method: To begin with comparison analysis of usage rate of 10 ballparks of KBO with 30 ballparks of MLB, and architectural designs of facades, fields, accommodations, sculptures, greens, roof gardens, etc. are analyzed in the MLB ballpark. And finally, the characteristics of cultural sustainability in the architectural design are analyzed. Result: MLB ballparks have played role as core-space of urban community, accumulated space of citizens' memory being originated in natural climatic feature of region, historical image of city and tradition of home-ballpark. A basis of these characteristics could is nature of cultural sustainability, that is to say local community, historical restoration, social solidarity.