Runs Batted IN (RBI) records the number of runs a hitter directly drives in during their plate appearances and reflects a batter's ability to convert opportunities into scoring. Because producing runs determines game outcomes, RBI has long served as a central statistic in evaluating offensive performance. However, traditional RBI treats all batted-in runs equally and ignores th game context in which they occur, such as leverage, score state, and the actual impact of a run on a team's chance of winning. In this paper, we introduce two new context-aware metrics-Adjusted RBI (ARBI) and Contextual RBI (CRBI)-that address the fundamental limitations of RBI by incorporating Win Expectancy (WE). ARBI rescales each RBI according to the change in WE before and after the scoring event, assigning more value to runs that meaningfully shift the likelihood of winning and less to runs scored in low-leverage situations. We then extend this framework to CRBI, which further differentiates RBIs with the same WE change by accounting for the terminal WE at the end of the event. This refinement captures the idea that an RBI increasing WE from, for example, 0.45 to 0.65 has a larger competitive impact than one increasing WE from 0.05 to 0.25, even though both represent a 20% increase. Together, ARBI and CRBI provide calibrated, context-sensitive measures of offensive contribution that more accurately reflect the true value of run production. These metrics modernize the interpretation of RBI and have broad applications in player evaluation, forecasting, contract evaluation, and decision-making in baseball analytics.

翻译：打点（RBI）记录了击球员在其打席中直接驱动的得分次数，反映了击球员将得分机会转化为实际得分的能力。由于得分产出决定比赛胜负，RBI长期以来一直是评估进攻表现的核心统计指标。然而，传统RBI将所有打点得分视为等同，忽略了得分发生时的比赛情境——例如比赛杠杆值、比分状态以及得分对球队获胜概率的实际影响。本文引入两种新的情境感知指标——调整后打点（ARBI）与情境化打点（CRBI），通过纳入胜率期望（WE）来克服传统RBI的根本局限。ARBI根据得分事件前后胜率期望的变化对每个打点进行重新标度，对显著改变获胜可能性的得分赋予更高权重，对低杠杆情境下的得分赋予较低权重。我们进一步将该框架扩展至CRBI，该指标通过考虑事件结束时的终态胜率期望，对具有相同WE变化的打点进行更精细区分。这一改进体现了以下理念：例如将WE从0.45提升至0.65的打点，其竞技影响大于将WE从0.05提升至0.25的打点——尽管两者均代表20%的增幅。ARBI与CRBI共同提供了经过校准、情境敏感的进攻贡献度量，能更准确地反映得分产出的真实价值。这些指标革新了打点的解读方式，在球员评估、表现预测、合约价值评估及棒球数据分析决策等领域具有广泛应用前景。