Eech ballpark has a different size in baseball. It could be easily imagined that there would be many home runs in a small ballpark. Park Factors (PF) are introduced in baseball to quantify the effect of each ballpark on the results (e.g., home runs). In this paper, we assume that each plate appearance can be modeled as a match-up between a batter against a pitcher with a ballpark. The effects of each ballpark will be distilled by using a logistic regression method. Numerical verification shows that the proposed method performs better than conventional PF. The verification is based on the results of more than 140 thousands plate appearances from the 2017 to 2021 Japanese Pacific League Baseball seasons.
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