Prediction of pitch type and location in baseball using ensemble model of deep neural networks

Journal of Sports Analytics

article

Jae Sik Lee¹ 

[1] Department of e-Business, School of Business Administration, Ajou University

关键词: Sports analytics;    baseball pitch prediction;    pitch type;    pitch location;    ensemble model;    deep neural network;   

DOI  :  10.3233/JSA-200559

来源: IOS Press

【 摘 要 】

In the past decade, many data mining researches have been conducted on the sports field. In particular, baseball has become an important subject of data mining due to the wide availability of massive data from games. Many researchers have conducted their studies to predict pitch types, i.e., fastball, cutter, sinker, slider, curveball, changeup, knuckleball, or part of them. In this research, we also develop a system that makes predictions related to pitches in baseball. The major difference between our research and the previous researches is that our system is to predict pitch types and pitch locations at the same time.

【 授权许可】

Unknown