Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Batting index prediction model 2017

2017년 한국프로야구 타자력 예측모형 개발

  • Received : 2017.04.03
  • Accepted : 2017.05.15
  • Published : 2017.05.31
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Abstract

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.

2017년 한국프로야구 (KBO) 시즌이 개막되어 2017년도 선수들의 경기력 중에서 타자력 예측모형을 설정하고 분석한다. KBO 투수자료의 빈약함으로 규정타석을 만족한 미국프로야구 (MLB)와 KBO 타자 선수들을 대상으로 선정된 여덟 개의 타자력 지표와 수집된 과거 3개년도 자료를 바탕으로 2016년 타자력 예측모형을 개발한다. 예측모형이 MLB와 KBO 모두에 적합하고 특히 MLB에 비교하여 KBO 환경에 더욱 적합함을 발견한다. 타당성이 만족한 예측모형에 대하여 MLB와 KBO 타자력을 비교 분석하고, 2017년 타자력을 추정할 수 있다. 그리고 MLB와 KBO 타자력 예측모형과 타자 선수들의 연령과의 분석으로부터 대부분의 유의한 타자력 지표들은 연령과 관계가 없다고 판단된다.

Keywords

References

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