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Pulling starters

机译:拉发

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摘要

We theoretically and empirically study a fundamental strategic decision in baseball: when to make the "call to the bullpen" and pull th=e starting pitcher. The limited previous literature on this topic found that pulling starters tends to reduce runs allowed in the current inning. We show with a simple model that this result is consistent with win maximization, and does not necessarily imply that starters should typically be pulled sooner. We then use detailed pitch-level data from the 2008-2017 seasons to estimate the effects of pulling the starter on both runs allowed in the current inning and on win probability. We argue that whether or not the starter is pulled is plausibly "as good as random" conditional on the large set of included covariates, but acknowledge the lack of true randomization. We find that the estimated effect of pulling the starter on runs allowed in the current inning is indeed negative, but the effect on win probability is a precise zero. We examine a variety of game situations and recent events, and find only scattered and limited evidence of biases, but note that statistical power is limited for these analyses. We interpret the results to imply that, at least on average, decisions for when to pull starters were approximately Bayesian-optimal in between plate appearances due to a period of institutional learning that occurred over decades. However, starters were very rarely pulled within-plate appearances, so we cannot analyze the optimality of these decisions.
机译:我们在理论上和实证研究基本的战略决策在棒球比赛中:当“调用牛棚”和拉th e =先发投手。关于这一主题的发现,初学者往往减少运行允许在当前局。显示一个简单的模型,这个结果符合赢得最大化,不一定意味着,初学者应该一般被拉的更早。从2008 - 2017赛季音高水平数据估计拖起动器的影响都允许运行在当前局赢的概率。起动拉是可信的”一样随机”所包含的大量的条件,但承认缺乏事实随机化。将起动器在运行时允许的当前局的确是负面,但效果赢的概率是一个精确的零。各种各样的游戏情况和最近的事件,只找到分散和有限的证据偏见,但是请注意,统计力量有限的这些分析。结果暗示,至少平均决定什么时候把首发大约Bayesian-optimal板之间由于一段时间的制度学习发生在几十年。初学者很少拉板内露面,所以我们不能分析最优这些决策。

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