Abstract
In Nippon Professional Baseball, it is important for players to receive useful information. It has been reported that pitchers's records were better this year than last year. On the other hand, batters's records have worsened overall for the same period. Therefore, we created a pitching model by multinomial logit model to provide useful information to batters. First, we justify the use of the multinomial logit model and explain relevant terms used in the model. Second, we define a pitching prediction model by employing multinomial logit model and variables used for this paper after which we describe the applied data. Finally, we present the conclusions.
