• Title/Summary/Keyword: professional baseball

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Visual Representation and Applications of Hitting Direction in Korean Baseball Records

  • Hong, Chong-Sun;Park, Ha-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.2
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    • pp.539-549
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    • 2008
  • Most important thing in professional baseball game among all kinds of sports is the winning. Both coaches and players collected and analyzed lots of game data to get a victory. In this paper, batting data are analyzed so as to represent informations of hitting direction visually. This method could be provided a lot of useful information about hitting direction of a specific batter or a team to not only coaches, players but also the audience.

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Measuring the accuracy of the Pythagorean theorem in Korean pro-baseball (한국프로야구에서의 피타고라스 정리의 정확도 측정)

  • Lee, Jangtaek
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.3
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    • pp.653-659
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    • 2015
  • The Pythagorean formula for baseball postulated by James (1982) indicates the winning percentage as a function of runs scored and runs allowed. However sometimes, the Pythagorean formula gives a less accurate estimate of winning percentage. We use the records of team vs team historic win loss records of Korean professional baseball clubs season from 2005 and 2014. Using assumption that the difference between winning percentage and pythagorean expectation are affected by unusual distribution of runs scored and allowed, we suppose that difference depends on mean, standard deviation, and coefficient of variation of runs scored per game and runs allowed per game, respectively. In conclusion, the discrepancy is mainly related to the coefficient of variation and standard deviation for run allowed per game regardless of run scored per game.

Steal Success Model for 2007 Korean Professional Baseball Games (2007년 한국프로야구에서 도루성공모형)

  • Hong, Chong-Sun;Choi, Jeong-Min
    • The Korean Journal of Applied Statistics
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    • v.21 no.3
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    • pp.455-468
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    • 2008
  • Based on the huge baseball game records, the steal plays an important role to affect the result of games. For the research about success or failure of the steal in baseball games, logistic regression models are developed based on 2007 Korean professional baseball games. The analyses of logistic regression models are compared of those of the discriminant models. It is found that the performance of the logistic regression analysis is more efficient than that of the discriminant analysis. Also, we consider an alternative logistic regression model based on categorical data which are transformed from uneasy obtainable continuous data.

The estimation of winning rate in Korean professional baseball league (한국 프로야구의 승률 추정)

  • Kim, Soon-Kwi;Lee, Young-Hoon
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.3
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    • pp.653-661
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    • 2016
  • In this paper, we provide a suitable optimal exponent in the generalized Pythagorean theorem and propose to use the logistic model & the probit model to estimate the winning rate in Korean professional baseball league. Under a criterion of root-mean-square-error (RMSE), the efficiencies of the proposed models have been compared with those of the Pythagorean theorem. We use the team historic win-loss records of Korean professional baseball league from 1982 to the first half of 2015, and the proposed methods show slight outperformances over the generalized Pythagorean method under the criterion of RMSE.

A Study on the Viewing Experience and Performance of Professional Baseball Team: The Team Performance Side and the Fan Performance Side

  • Byun, Kyung-Won
    • International journal of advanced smart convergence
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    • v.10 no.1
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    • pp.166-175
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    • 2021
  • The purpose of this study is to analyze the structural relationship among fan experience, fan satisfaction, team attachment, psychological well-being, team loyalty and quality of life. Specifically, the structural equation model is analyzed for the team performance side leading to fan experience-fan satisfaction-team attachment-team loyalty and the an performance side leading to fan experience-fan satisfaction-psychological well-being-quality of life. The survey to achieve the goal of this study is a professional baseball fan. 150 pilot envestigation and 348 main envestigation were selected as the final effective samples. Data processing was done with SPSS 23 for frequency analysis, exploratory factor analysis and reliability analysis. Also, AMOS 21 was used for confirmatory factor analysis and structural equation model analysis. The results of the analysis are as follows: First, fan experience had a positive effect on the fan satisfaction. Second, fan satisfaction had a positive effect on the team attachment. Third, fan satisfaction had a positive effect on the psychological well-being. Fourth, team attachment had a positive effect on theteam loyalty. Fifth, psychological well-being had a positive effect on the quality of life.

Win/Lose Prediction System : Predicting Baseball Game Results using a Hybrid Machine Learning Model (혼합형 기계 학습 모델을 이용한 프로야구 승패 예측 시스템)

  • 홍석미;정경숙;정태충
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.6
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    • pp.693-698
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    • 2003
  • Every baseball game generates various records and on the basis of those records, win/lose prediction about the next game is carried out. Researches on win/lose predictions of professional baseball games have been carried out, but there are not so good results yet. Win/lose prediction is very difficult because the choice of features on win/lose predictions among many records is difficult and because the complexity of a learning model is increased due to overlapping factors among the data used in prediction. In this paper, learning features were chosen by opinions of baseball experts and a heuristic function was formed using the chosen features. We propose a hybrid model by creating a new value which can affect predictions by combining multiple features, and thus reducing a dimension of input value which will be used for backpropagation learning algorithm. As the experimental results show, the complexity of backpropagation was reduced and the accuracy of win/lose predictions on professional baseball games was improved.

Shoulder and Elbow Injury Rates and Patterns in Korean Rookie Professional Baseball Pitchers

  • Park, Jin-Young;Lee, Seung-Jun;Kim, Yong-Il;Heo, Gu-Yeon
    • Clinics in Shoulder and Elbow
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    • v.19 no.1
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    • pp.15-19
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    • 2016
  • Background: To investigate how many rookie pitchers suffered from injuries while playing in the amateur league without guidelines for prevention of excessive pitching, we analyzed their amateur pitching patterns based on the pitch count, use of breaking balls, and pitches during winter camp. Methods: Forty-one rookie pitchers who graduated from high school or university in 2013 and joined professional baseball teams. Participants were interviewed by a trainer using our questionnaire. Injury inclusion criteria were 1) history of shoulder surgery, 2) history of elbow surgery, 3) shoulder pain requiring treatment, and 4) elbow pain requiring treatment. Results: Mean number of pitches per game and warm-up pitches for practice was 84.5 pitches (range, 15 to 130 pitches) and 16.4 pitches (range, 2 to 210 pitches), respectively. Mean number of pitches during the last year was 906.9 (range, 80 to 2,000). Mean number of maximal pitches was 127 pitches (range, 50 to 210 pitches). Fourteen pitchers had pitched over 150 pitches. Twenty-seven pitchers (65.9%) had pitched in spite of enduring pain. During winter training (mean 1.8 months), mean number of pitches per day was 162.5 pitches, and 20 pitchers (48.8%) had practiced pitching excessively despite the cold weather. Twenty-six rookies (63.4%) had shoulder pain or history of shoulder surgery, and 31 pitchers (75.6%) had elbow pain or history of elbow surgery. Only four participants (9.8%) did not have pain and history of surgery. Conclusions: For young baseball pitchers, guidelines for prevention of excessive pitching and for regulating the winter training program may be needed.

An Estimation Model for Defence Ability Using Big Data Analysis in Korea Baseball

  • Ju-Han Heo;Yong-Tae Woo
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.8
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    • pp.119-126
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    • 2023
  • In this paper, a new model was presented to objectively evaluate the defense ability of defenders in Korean professional baseball. In the proposed model, using Korean professional baseball game data from 2016 to 2019, a representative defender was selected for each team and defensive position to evaluate defensive ability. In order to evaluate the defense ability, a method of calculating the defense range for each position and dividing the calculated defense area was proposed. The defensive range for each position was calculated using the Convex Hull algorithm based on the point at which the defenders in the same position threw out the ball. The out conversion score and victory contribution score for both infielders and outfielders were calculated as basic scores using the defensive range for each position. In addition, double kill points for infielders and extra base points for outfielders were calculated separately and added together.

Estimation of FIP coefficient in Korea professional baseball (한국프로야구에서 FIP 계수의 추정)

  • Lee, Jangtaek
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.3
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    • pp.625-633
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    • 2017
  • Fielding Independent Pitching (FIP) is a statistic that measure pitcher performance by eliminating plate appearance outcomes that involve defensive play. FIP uses pitcher dependent outcomes such that walks, strikeouts, hit by pitches, and home runs allowed. The FIP equation derived from linear weights uses three coefficients 13, 3, -2 for evaluating Major League Baseball pitchers. However, these coefficients derived from run value of major league baseball are not suitable to Korea Baseball Organization pitchers due to baseball circumstances. In this study, new FIP called kFIP for Korea Baseball Organization pitchers are provided. We recalculate coefficients and get 14, 3, -1 for evaluating Korean Baseball pitchers. As a result, kFIP is statistically significantly better than FIP at predicting pitcher ERA in KBO League.

A study of current awareness and preference on Korean professional baseball team's promotion for products (프로야구의 상품마케팅에 대한 인식 및 선호도 조사)

  • Park, Seung-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.3
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    • pp.1238-1245
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    • 2012
  • The main purpose of this study was to identify the current awareness and preference on the promotions of products in Korean professional baseball teams. For this study, the subjects were randomly selected where they have experienced purchasing any products in the Korean professional baseball stadium. Totally, 520 subjects were asked to answer the questionnaire relevant to the current awareness and preference of promotion of products. There were 11 questions for the current awareness and 14 questions for the preference on the promotion of products. The data gathered was determined within a frequency analysis, an independent sample T-test and one-way ANOVA tests. The results were discussed when the p-value were lest than .05. There were a couple of results found throughout this study. Firstly, there were no significant differences of the current awareness between gender. Secondly, there were significant differences of the preference on the promotion between age(p<.05). Especially, there were significant differences on the value of products and price between 20's, 30's and 40's groups. Thirdly, there were significant differences of the preference on the promotion between level of earing per year statistically(p<.05). In addition, there were significant differences on the price of products between 2000-2500 million won, 2500-3000 million won and 4000 million won groups. Consequently, the product promotion by the Korean professional baseball teams has to be more variety and structured.