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CPS2094 Yoshimitsu Morinishi et al.



                            Causal inference in sport date ~Causal model of
                                        fly ball revolution in NPB
                               Yoshimitsu Morinishi , Kazunori Yamaguchi
                                                                         2
                                                    1
                                  1  Graduate School of Business, Rikkyo University
                                      2  Nishi-Ikebukuro, Toshima-ku, Tokyo

               Abstract
               In case of Japanese professional baseball NPB, we construct causal inference
               and  causal  model  from  sports  data.  Specifically,  in  the  theme  of  "flyball
               revolution" which is sweeping the major league in the United States in recent
               years,  we  construct  causal  model  on  whether  we  can  adapt  at  NPB  and
               examine whether the "flyball revolution" at NPB is correct or not. I will also
               describe the usefulness of causality reasoning in sports and the usefulness of
               causal  reasoning  in  observational  research  in  future  society.  Study  the
               literature of past causal inference and establish a method to extract causal
               effects from data. Formulate and verify a causal model for baseball 'flyball
               revolution  at  NPB'.  Construct  a  causal  model  and  adopt  SEM  (structural
               equation model) as a measure method of causal effect. From the result of the
               constructed causal model, we evaluate and verify flyball revolution at NPB and
               verify the effectiveness of causal reasoning in sports. From the result of the
               causal model, the significance of the contribution of each explanatory variable
               (both latent variable).

               Keywords
               Causal inference; sport data; Saber Metrics

               1.  Introduction
                   Today, with the development of information technology and the spread of
               the Internet, many data are accumulated, many organizations possessing large
               amounts of data such as big data, and the era of utilizing data everywhere is
               about to come. With such changes in society as a background, as the value of
               data itself  rises, it is considered that building a  model that can  discover a
               causal relationship between data is extremely valuable. In this research, we will
               study  methodology  to  clarify  causal  mechanism  underlying  natural
               phenomena and human behavior from sports data, from the above problem
               consciousness and motivation.

               2.  Purpose
                   In  case  of  Japanese  professional  baseball  NPB,  we  construct  causal
               inference and causal  model  from  sports  data.  Specifically,  in  the  theme  of
               "flyball revolution" which is sweeping the major league in the United States in
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