• The Korean Journal of Applied Statistics
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• v.26 no.4
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• pp.649-659
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• 2013

We use a Markov chain model to analyze the Korean Baseball League. We derive the distributions of the number of runs scored and the number of batters that complete their turn at bat in a baseball game using the time inhomogeneous Markov chain. The model is tested with real data produced from the 2011 Korean Baseball League.

• The Korean Journal of Applied Statistics
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• v.23 no.6
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• pp.1191-1199
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• 2010

Knowing what factors into a player's ability to affect the outcome of a sports game is crucial. This knowledge helps determine the relative degree of contribution by each team member as well as sets appropriate annual salaries. This study uses statistical analysis to investigate how much the outcome of a professional baseball game is influenced by the records of individual players. We used the Lotte Giants' data on 252 games played between 2007 and 2008 that included environmental data(home or away games and opponents) as well as pitchers' and batters' data. Using a SAS Enterprise Miner, we performed a logistic regression analysis and decision tree analysis on the data. The results obtained through the two analytic methods are compared and discussed.

• 한국체육학회지인문사회과학편
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• v.51 no.3
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• pp.79-88
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• 2012

The purpose of this study was to find spectator's value cognition and expected-benefit factors on professional baseball sportstar. Purposeful Sampling method was used to select among fan club leaders and people who had watched baseball games over ten years 8 informants who watched more than 4 times in 6 baseball games in 2011 Lotte Card Professional Baseball League. Data collection relies on focus group interviews and in-depth interviews. Text analysis was attempted to adopt the A-R-C needs theory proposed by Thomson(2006) for spectator's value cognition and the metaphors for consuming by Holt(1995) for expected-benefit factors. The research summary is as follow: Spectator's value cognition on professional baseball sportstar were an object of entertainment-oriented value, a major figure for social relationship-oriented and an object of identical. Spectator's expected-benefit factors on professional baseball sports tar were confirmation of values and heroic orientation. Meanwhile, spectator who had entertainment-oriented value cognition on professional baseball sportstar expect heroic orientation, who recognize professional baseball sportstar a major figure for social relationship-oriented and an object of identical pursue confirmation of values.

• Journal of Information Technology and Architecture
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• v.11 no.1
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• pp.75-80
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• 2014

At the time the interest and love of the Korean professional baseball is increasing, the need for effective recruiting method rising. Recruiting existing methods were scheme based on expert evaluation, to obtain the players of each team. However, the existing method does not reflect only objective rating but also subjective way of school tie and delays are effect. Therefore the conventional method could not be the efficient. Therefore this paper analyze Korea baseball player's efficiency based on entire team and each team by using DEA (Data Envelopment Analysis) method, and use this efficiency to discuss effective way of recruiting players. Finally, the validity of experiment is confirmed by the matters of actual sell of players who are scouted by experiment.

• Journal of the Korean Society of Physical Medicine
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• v.16 no.3
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• pp.115-121
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• 2021

PURPOSE: This study analyzed the correlation between the plantar pressure and body alignment according to the dominant hand of elementary school baseball players. METHODS: The subjects consisted of 32 elementary school baseball players. The 32 players were classified in the right-hand dominant group (Rt. Group, n = 22) and left-hand dominant group (Lt. group, n = 10). The plantar pressure was measured using a pedoscan to determine the maximum pressure and pressure distribution. The body alignment was measured using a fometric 4D to measure the trunk imbalance angle (TI), pelvic tilt angle (PTi), pelvic torsion angle (PTo), pelvis rotation angle (PR), kyphotic angle (Ky), lordotic angle (Lo), and trunk torsion angle (TT). RESULTS: Participants showed correlations in the Rt. group, according to the left maximum pressure, Lo (r = .592, p < .05), and TT (r = .514, p < .05); according to the right maximum pressure, PR (r = .539, p < .05), and Lo (r = .503, p < .05). In the left pressure distribution, the PR (r = -.521, p < .05) showed a negative correlation. In the Lt. group, the PT (r = -.591, p < .05) showed a negative correlation in the left pressure distribution. CONCLUSION: These results can be used as basic data for a body analysis study of elementary school baseball players in the future.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.8-17
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• 2014

In this research, we employed various data mining techniques to build predictive models for win-loss prediction in Korean professional baseball games. The historical data containing information about players and teams was obtained from the official materials that are provided by the KBO website. Using the collected raw data, we additionally prepared two more types of dataset, which are in ratio and binary format respectively. Dividing away-team's records by the records of the corresponding home-team generated the ratio dataset, while the binary dataset was obtained by comparing the record values. We applied seven classification techniques to three (raw, ratio, and binary) datasets. The employed data mining techniques are decision tree, random forest, logistic regression, neural network, support vector machine, linear discriminant analysis, and quadratic discriminant analysis. Among 21(= 3 datasets${\times}$7 techniques) prediction scenarios, the most accurate model was obtained from the random forest technique based on the binary dataset, which prediction accuracy was 84.14%. It was also observed that using the ratio and the binary dataset helped to build better prediction models than using the raw data. From the capability of variable selection in decision tree, random forest, and stepwise logistic regression, we found that annual salary, earned run, strikeout, pitcher's winning percentage, and four balls are important winning factors of a game. This research is distinct from existing studies in that we used three different types of data and various data mining techniques for win-loss prediction in Korean professional baseball games.

• Journal of Information Technology Applications and Management
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• v.18 no.3
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• pp.91-110
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• 2011

Korea professional baseball industry has grown to take the lion's share of the domestic sports industry, but still does not make break even. The purpose of this study is to examine the financial impact of adopting the Customer Relation Management (CRM) approach on the profitability of Korea professional baseball industry. We use a measuring tool called entropy used in ID3 decision tree algorithm. In the paper, we specify five the most important factors that affect spectator satisfaction based on the previous literature, perform survey analysis, calculate entropy values, and find the results. We predicted the change in revenues when we adopt CRM by checking the spectators' willingness to pay more when the conditions of each factor are improved. We find that we can reap significant fruits of the effect of CRM introduction through enhancing 'game content factor' and 'game promotion factor' among the five factors. We also find that we can increase the revenues of domestic professional baseball teams to 2.4 times or 2.1 times the current level if we manage intensively those two factors respectively. It is very surprising to see that the improvement in total revenues makes both ends meet for domestic professional baseball teams. This clearly demonstrates the effectiveness of CRM approach in improving the profitability of organizations.

• Communications for Statistical Applications and Methods
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• v.19 no.3
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• pp.367-379
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• 2012

In baseball rankings, prediction has been a subject of interest for baseball fans. To predict these rankings, (based on 2011 data from Korea Professional Baseball records) the arithmetic mean method, the weighted average method, principal component analysis, and principal component regression analysis is presented. By standardizing the arithmetic average, the correlation coefficient using the weighted average method, using principal components analysis to predict rankings, the final model was selected as a principal component regression model. By practicing regression analysis with a reduced variable by principal component analysis, we propose a rank predictability model of a pitcher part, a batter part and a pitcher batter part. We can estimate a 2011 rank of pro-baseball by a predicted regression model. By principal component regression analysis, the pitcher part, the other part, the pitcher and the batter part of the ranking prediction model is proposed. The regression model predicts the rankings for 2012.

• Journal of the Korea Convergence Society
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• v.10 no.4
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• pp.203-208
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• 2019

The purpose of this study was to review and analyze the history and present of the deaf baseball of Korea and U.S. This study used text analysis method that applies comprehensive analysis of the research paper, newspaper, publications and the data from related associations. This study found followings. First, youth baseball teams need to be vitalized. Second, to maximize the motivation and sense of accomplishment, various tournaments need to be hosted and the support for participating in international tournament is necessary. Third, the interchange between deaf baseball and softball is needed. Fourth, the integration of deaf sport and non-disabled sport is necessary. The results of this study might be used for further researches on deaf baseball.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.2
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• pp.30-36
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• 2022

This study analyzed the relationship between efficient pitchers and teams advancing to the postseason in Korean professional baseball through DEA. A total of 1,133 pitchers who threw more than one inning from the 2014 season to the 2018 season were selected for this study. For DEA analysis, input variables were selected as annual salary and inning output variables as Wins, Saves, and Holds and the number of efficient pitchers for each season was classified using the input-oriented BCC model. After that, it was divided into two groups based on joining the postseason or not, and the number of efficient pitchers was compared through a prop test. As a result of the analysis, the groups that advanced to the postseason in the rest of the season except for the 2014 and 2017 seasons had more efficient pitchers. Considering that the 2014 season recorded the highest WAR (Wins Above Replacement) at 183.56 compared to other seasons, most pitchers threw well, and in the 2017 season, they made more mistakes in pitching than in other seasons, but they performed well in batters. The results of this study have expanded the research field using efficiency analysis in professional baseball and can be used as useful data for practical research.