• Title/Summary/Keyword: Pitcher

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A Study on the Timing of Starting Pitcher Replacement Using Machine Learning (머신러닝을 활용한 선발 투수 교체시기에 관한 연구)

  • Noh, Seongjin;Noh, Mijin;Han, Mumoungcho;Um, Sunhyun;Kim, Yangsok
    • Smart Media Journal
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    • v.11 no.2
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    • pp.9-17
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    • 2022
  • The purpose of this study is to implement a predictive model to support decision-making to replace a starting pitcher before a crisis situation in a baseball game. To this end, using the Major League Statcast data provided by Baseball Savant, we implement a predictive model that preemptively replaces starting pitchers before a crisis situation. To this end, first, the crisis situation that the starting pitcher faces in the game was derived through data exploration. Second, if the starting pitcher was replaced before the end of the inning, learning was carried out by composing a label with a replacement in the previous inning. As a result of comparing the trained models, the model based on the ensemble method showed the highest predictive performance with an F1-Score of 65%. The practical significance of this study is that the proposed model can contribute to increasing the team's winning probability by replacing the starting pitcher before a crisis situation, and the coach will be able to receive data-based strategic decision-making support during the game.

The Effect of Daily Average Humidity on Pitcher's Stats of Strike-Out (일일 평균 습도가 투수의 탈삼진 기록에 미치는 영향)

  • Kim, Semin;You, Kangsoo
    • Journal of Industrial Convergence
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    • v.18 no.1
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    • pp.65-71
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    • 2020
  • Recently, the field of using data has begun to attract attention in professional sports. In the field of data utilization, in addition to the classic records obtained within the economy, secondary records that emphasize efficiency are also actively used. Therefore, in this study, we try to study the correlation with the pitcher's strikeout ability through the daily average humidity, which is data outside the competition. For this reason, referring to the daily average record of the area of the home base of 10 teams belonging to the KBO league and the auxiliary stadium, the top 5 in the win, hold, save section to grasp the characteristics of the starting pitcher and the rescue pitcher We analyzed K / 9 records for each person. Through the results of this study, we found a significant difference in the K / 9 record between the starting pitcher and the rescue pitcher, and we can expect to investigate the use of professional sports data and develop the industry in general.

Comparison of Physical Properties of Permeability Concrete Using Acrylic Polymer (아크릴 폴리머를 사용한 투수 콘크리트의 물성 비교 평가)

  • Hwang, Byoung-Il;Kim, Hyo-Jung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.265-271
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    • 2019
  • The aim of this paper was to improve the shortcomings of Pitcher Concrete, a conventional ethylene-based polymer used in combination with the other components, and present basic data for use as improved road pavement material by applying an acrylic polymer. Existing ethylene polymer-based pitcher concrete materials were selected. Acrylic polymer was then added and the resulting mixture was evaluated. The compressive strength of the existing ethylene-based polymer pitcher concrete combination was low due to the large air gap, and a compressive strength of 24MPa was observed on the 28th day of road use, as defined by KS for an acrylic polymer-based pitcher concrete combination. Regarding the bending strength, the combined strength of the acrylic polymer-based pitcher concrete was excellent, and the factor of the pitcher was measured above the reference, 0.1(mm/s), in all variables. All parameters measured were less than 1%. The acrylic polymer mixing characteristics were able to maintain the dynamic modulus of elasticity for more than 120 cycles, but not more than 80 cycles for the other combinations. Therefore, the addition of more acrylic polymer than conventional ethylene polymer base is effective in improving the durability.

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.

Suggestion of starting pitcher ability index in Korea baseball - Focusing on the sabermetrics statistics WAR (한국프로야구에서 선발투수의 투수능력지수 제안 - 대체선수대비승수 (WAR)을 중심으로)

  • Kim, Hyeon-Gyu;Lee, Jea-Young
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.4
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    • pp.863-874
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    • 2017
  • Wins above replacement (WAR) is the most commonly used statistics of the many sabermetrics that measure baseball players' abilities. The advantage of a WAR is that it enables to compare performances of players even though they have different roles such as pitcher and hitter. However, WAR is difficult to obtain with common records. Thus, in this paper, we have calculated the sabermetrics variable based on Korean professional baseball records for the past three years (2014-2016). Using these variables, we suggest starting pitcher ability index that can replace WAR. Starting pitcher ability index was calculated by means of arithmetic mean, weighted average and principal component regression. Then, compared to the WAR, the most relevant method was selected, which would be useful to identify for the starting pitcher ability.

Osteochondritis Dissecans in Medial Trochlea of the Humerus in a Pitcher - A Case Report

  • Lee, Jin-Ho;Kim, Myung-Sun
    • Clinics in Shoulder and Elbow
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    • v.17 no.1
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    • pp.40-43
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    • 2014
  • Osteochondritis dissecans (OCD) is an idiopathic condition affecting the articular epiphysis. Initially described in the knee, this entity affects several other parts of the body such as the talar dome, tarsal navicular, and femoral capital epiphysis. Osteochondritis dissecans (OCD) of the elbow is typically located in the capitellum of the humerus in young teenagers. OCD of humeral trochlea is very rare, but can be occurred among young athletes. OCD developed medial trochlea was extremely rare, especially, without any other trauma. We present a patient, pitcher with OCD in the medial trochlea of the humerus who underwent arthroscopic debridement and microfracture.

Strength properties of concrete permeability blocks using polymer PVA (폴리머 PVA 사용에 따른 콘크리트 투수블록의 강도 특성)

  • Lee, Won-Gyu;Pyeon, Su-Jeong;Yoo, Byeong-Yong;Lee, Sang-Soo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.29-30
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    • 2018
  • Recent impervious pavements on roads and sidewalks cause rainwater to not penetrate into the ground, deplete groundwater, or flood the rivers, causing urban flood damage. In order to solve these problems, the amount of installed pitcher block is increasing, but the existing pitcher block is made with cement base and causes many problems. In the cement permeable block, the efflorescene phenomenon occurs due to the acid component, and the pore of the permeable block is clogged and the permeability is lost. As a result, the service life of the pitcher block is shortened and the replacement period is shortened. The purpose of this study is to analyze the basic properties of polymer concrete by replacing cement with polymer in order to solve the problem of cement - based concrete permeable block.

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Development of a Virtual Pitching System in Screen Baseball Game

  • Min, Meekyung;Kim, Kapsu
    • International journal of advanced smart convergence
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    • v.7 no.3
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    • pp.66-72
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    • 2018
  • In recent years, indoor simulated sports have become widely used, and screen baseball system has emerged that can play baseball in indoor space. In this paper, we propose a virtual pitching system that can improve the realism of screen baseball game. This virtual pitching system is characterized in that it uses a transmissive screen in the form of a pitching machine without a pitching hole and installed on the back of the screen. Therefore, unlike existing systems where pitching holes are formed on the screen, it enhances the immersion feeling of displayed images. Also, in this pitching system, the synchronization algorithm between the pitching machine and the virtual pitcher is used to form a sense of unity between the virtual pitcher and the ball according to various types of virtual pitchers, thereby enhancing the reality of baseball games.

Predicting Korea Pro-Baseball Rankings by Principal Component Regression Analysis (주성분회귀분석을 이용한 한국프로야구 순위)

  • Bae, Jae-Young;Lee, Jin-Mok;Lee, Jea-Young
    • 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.

Analysis of factors affecting Korean professional baseball pitcher salaries (한국프로야구에서 투수 연봉에 영향을 주는 요인)

  • Lee, Jang Taek
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.2
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    • pp.317-326
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    • 2017
  • In this paper, we investigate the effects of performance and non-performance variables attributed to Korean professional baseball pitchers on annual salary by the records about pitchers between 2010 and 2016. We select the variables in reference to previous research related to this topic. The models are then estimated using linear regression model. For pitchers, age, experience in the league, year, eligibility for free agency, the number of wins, WAR, the number of innings pitched, the number of games, the number of saves, the number of games started, and type of baseball team have a statistically significant effect. Among the notable factors, affecting pitchers salaries are largely measure of starting pitchers. Pitcher sabermetrics indexes were poorly reflected on annual salary. The model presented here can be used to remove any unobjective salary differences for Korean professional baseball pitchers.