捕手偷好球技巧（Pitch Framing）已被證實對美國職棒大聯盟（MLB） 的失分防止和球隊成功具有重大影響。現有研究主要依賴階層貝氏模型來 檢視Framing效應與主審之間的關係。然而，主審的主觀判斷可能在判決 新主審執裁的比賽時引入偏差。本研究探討Framing效應與投球球種特異 性之間的關係，這是一個在現有文獻中仍未充分探討的面向。我們開發了 一個投球球種特異性的貝氏框架，以檢視投球位置和球種如何共同影響判 定好球的機率。所提出的方法強調可解釋性和簡潔性。 使用2024 年美國職棒大聯盟數據，我們展示了所提出方法的強大實證 表現，並表明該方法可應用於捕手排名和預測任務，允許與現有Framing研 究進行直接比較。;Pitch framing has been shown to have a substantial impact on run prevention and team success in Major League Baseball (MLB). Existing studies primarily rely on hierarchical Bayesian models to examine the relationship between catcher framing effects and umpires. However， umpires’ subjective judgment may introduce bias in strike-call predictions， particularly when new umpires officiate a game. In this study， we investigate the relationship between framing effects and pitch-type specificity， an aspect that remains largely unexplored. We develop a pitch-type-specific Bayesian framework to examine how pitch location and pitch type jointly influence called-strike probabilities. The proposed approach emphasizes interpretability and parsimony. Using 2024 Major League Baseball data， we demonstrate the strong empirical performance of the proposed method and show that it can be applied to catcher ranking and prediction tasks， allowing direct comparison with existing pitch-framing studies.
