• Title/Summary/Keyword: 장타율

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Explanation of Run Productivity Using Weighted Adjusted OPS in Korean Professional Baseball (한국 프로야구에서 가중수정OPS를 이용한 득점력 설명)

  • Kim, Hyuk Joo;Kim, Yea Hyoung
    • The Korean Journal of Applied Statistics
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    • v.27 no.5
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    • pp.731-741
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    • 2014
  • We suggested an adjusted OPS and weighted adjusted OPS as indices to explain run productivity of teams using the slugging average and adjusted OBP from Korean professional baseball. First, we defined adjusted OBP by modifying currently used OBP. Next, we defined adjusted OPS as the sum of adjusted OBP and slugging average. We also defined weighted adjusted OPS as the weighted average of adjusted OBP and slugging average. Analysis of the data from all games in the regular seasons from 1982~2013 shows that adjusted OPS better explains runs than OPS. For 25 seasons out of 32 seasons, adjusted OPS explains runs better than OPS. Further, weighted adjusted OPS consisting of adjusted OBP (with weight 60%) and slugging average (with weight 40%) gives the best explanation of run productivity. Weighted adjusted OPS has been found to explain run productivity better than weighted OPS proposed in Kim (2012).

A Note on Statistical Concepts Being Improperly Used in Sports (스포츠에서 부적절하게 사용되고 있는 통계적 개념에 관한 소고)

  • 김혁주
    • The Korean Journal of Applied Statistics
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    • v.14 no.1
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    • pp.201-210
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    • 2001
  • 스포츠에서 통계적 개념이 부적절하게 사용되고 있는 몇 가지의 경우들을 살펴보고, 이를 바로잡기 위한 방안을 제시한다. 먼저 야구의 경우를 자세히 살펴본 뒤 축구와 권투의 경우에 관해서도 논의한다.

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Estimation of OBP coefficient in Korean professional baseball (한국프로야구에서 출루율 계수의 추정)

  • Lee, Jang Taek
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.2
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    • pp.357-363
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    • 2014
  • OPS is a sabermetric baseball statistic calculated as the sum of a player's on base percentage (OBP) and slugging percentage (SLG). One of the frequently cited problem with OPS is that OPS gives equal weight to its two components, OBP and SLG. In fact, OBP contributes significantly more to scoring runs than SLG does. This paper provides some exploration into the correct weighting of OBP to SLG when adding the two together. By correlating different coefficients of OBP to runs scored per game, the weighted OPS that weighting OBP 56% in two place more than SLG produced the highest correlation. We found that the weight of OBP increases as RPG increases. Also we suggest the linear regression equation of the best OBP coefficient against RPG.

Effects of on-base and slugging ability on run productivity in Korean professional baseball (한국 프로야구에서 출루 능력과 장타력이 득점 생산성에 미치는 영향)

  • Kim, Hyuk Joo
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.6
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    • pp.1065-1074
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    • 2012
  • The purpose of this paper is to statistically analyze the effects of on-base and slugging ability on the run productivity in Korean professional baseball. In Section 2, we have investigated the OPS (On-base percentage Plus Slugging average) and introduced new indices of batting ability by modifying the OPS. In Section 3, we have examined the correlation which the batting average, on-base percentage, slugging average, IsoP (Isolated Power), OPS and the indices introduced in Section 2 have with the average runs per game, using the data from all the games of the regular seasons in 2007~2011. In addition, by generalizing the OPS and the indices introduced in Section 2, we have analyzed the correlation of the indices with various weights between the average runs per game. As a result, the weighted OPS consisting of on-base percentage (with weight 57%) and slugging average (with weight 43%) has been found to give the best explanation of the run productivity.

Prediction of OPS(On-base Plus Slugging) in KBO League (한국프로야구에서 장타율과 출루율(OPS) 예측 연구)

  • Dong Yun Shin;Jinho Kim
    • The Journal of Bigdata
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    • v.7 no.1
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    • pp.49-61
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    • 2022
  • In sports, the proportion of data analysis in team management such as team strategy planning and marketing is increasing. In KBO(Korea Baseball Organization) league, in particular, plans such as recruiting players and fostering players are established to devise team strategies for the next year, such as FA and trade, at the end of a season. For these reasons, it is very important to predict players' performance for the next year. In this study, the target was limited to only the batter and tried to find out how to predict whether the performance of the next year will improve. As a standard record for rising and falling, OPS(On-Base Plus Slugging), which is easy to calculate and has a high relationship with team score, was used. In this study, 40 years of regular season data from 1982 to 2021 were used as data, and 11 machine learning classification models were used as experimental methods. Predicting the rise and fall of OPS, RBF SVM, Neural Net, Gaussian Process, and AdaBoost were more accurate than other classification models, and age did not significantly affect accuracy.

Big Data Analysis of the Correlation between Average Daily Temperature and Batting Power (빅데이터를 활용한 타자의 장타력과 일일 평균 기온 간의 상관관계 분석)

  • Kim, Semin;Shin, Chwacheol
    • Journal of Digital Convergence
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    • v.18 no.8
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    • pp.225-230
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    • 2020
  • The KBO League is held over a long period of time due to the large number of games. Also, Korea has a diverse and distinct climate. Therefore, this study analyzed the relationship between the daily average temperature and the record of batting power such as home runs, triples, doubles, number of bases, batting percentage, and net batting percentage, and a third baseball record was defined. For this study, the correlation between the daily average temperature data and the batter who entered the standard at-bat in the KBO League in 2019 was analyzed through the SEMMA method. From the results of this study, it was found that the average daily temperature had an effect on a batter's hitting power. In particular, it was found that a batter's hitting power decreased on the day of temperatures recorded between 20.0 degrees and 24.9 degrees, and it was discussed that this may have been related to the physical condition of the pitcher the batter was facing. Therefore, it can be expected that players, coaching staff, and the front desk can use them in the game through conditions outside the game. In addition, it is expected that it will be a more useful analysis model by analyzing the records of pitching, base running, and defense as well as subsequent batting records.

A Study on How to Nurture New Players using Data Analysis (데이터 분석을 활용한 신인급 선수 육성 방안 연구)

  • You, Kangsoo
    • Journal of Industrial Convergence
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    • v.19 no.4
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    • pp.17-21
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    • 2021
  • Recently, in the field of sports, the use of data in conducting games, planning seasons, and operating teams has increased significantly. Also, in order to develop better players, it has become necessary to use data to accurately analyze their performance. Therefore, in this study, various data about rookie players was collected and pre-processed in order to analyze and visualize their performance. Additionally, an analysis was conducted to determine at least how many opportunities should be given to foster rookie players. Then, a data analysis method was presented for nurturing athletes by using data in the field of sports. It is expected that this study will contribute to fostering rookie players by utilizing data.

Fielding indices for explaining runs lost combining adjusted WHIP and the number of home runs allowed in Korean professional baseball (한국 프로야구에서 수정된 WHIP와 피홈런 수를 결합한 실점 설명 수비지표들)

  • Kim, Hyuk Joo
    • The Korean Journal of Applied Statistics
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    • v.29 no.7
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    • pp.1283-1294
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    • 2016
  • We studied fielding indices to explain runs lost for Korean professional baseball teams, successively motivated by OPS and weighted OPS obtained by combining on-base percentage and slugging average that can adequately explain the run productivity of teams. We considered several combined indices made by combining fielding indices highly correlated with the runs lost of teams. Data analysis from all games in the regular seasons of 1982-2015 shows that weighted adjusted WPH 2 (defined as weighted average of adjusted WHIP and number of home runs allowed per inning) best explains runs lost. Weighted adjusted WPH 2 consisting of adjusted WHIP (with weight 34%) and number of home runs allowed per inning (with weight 66%) was found to be optimal weighted adjusted WPH 2 having correlation coefficient 0.95362 with average runs lost per game. This result is an improvement of the result of the index obtained in Kim and Kim (2015a). Analysis by chronological periods provides results that are not much different. Also we made a list of top 10 pitchers for each of the recent three years, based on the obtained index.

Morphology and Karyotype of Convallaria majalis (Liliaceae) in Korea (한국산 은방울꽃(Convallaria majalis)의 형태적 특징과 핵형분석)

  • 윤환수;민병미;방재욱;부성민
    • Korean Journal of Environmental Biology
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    • v.17 no.3
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    • pp.371-378
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    • 1999
  • Morphology and karyotype of Korean Convallaria majalis plants were observed for taxonomic studies. Most plants produced two leaves (70%) and some one leaf (30%), but rarely three leaves. Plant length averaged 34.4 $\pm$ 4.6 cm. Percentage of plants bearing flowers was very low with 3.7% (n=1,346) in the field. Raceme usually grew below leaves and rarely grew over leaves. Plant beared five to ten flowers on a single raceme. Chromosomes were x=19 and diploidy with 2n=38. The chromosomes were composed of 13 pairs of median and 6 pairs of submedian chromosomes. The number of chromosome and karyotype of Korean C. majalis plant agree with those of Japanese and European plants.

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