The provided texts explore the accuracy and impact of umpire calls in Major League Baseball (MLB), primarily through the lens of UmpScorecards, an independent online platform founded by Ethan Singer and Ethan Schwartz that quantifies umpire performance. These sources discuss the methodology behind UmpScorecards' metrics, such as accuracy, consistency, and "favor" (run expectancy impact), which are derived from MLB's Statcast pitch data. While some articles use this data to identify and rank the "worst" umpires and illustrate the real-world effects of their incorrect calls on game outcomes and team performance, others consider the broader debate over replacing human umpires with automated systems like robotic strike zones. This discussion balances the desire for increased accuracy and consistency through technology against the potential loss of the "human element" that umpires bring to conflict management and game interpretation.Sources:

10 Worst Umpires in Major League Baseball - The Big LeadwebAbout - UmpScorecardswebAccuracy Explainer - UmpScorecardswebEstimated Umpire Zone Explainer - UmpScorecardswebFAQs - UmpScorecardswebIs it time to replace professional baseball umpires with technology? - Appraisal BuzzwebMLB changed its evaluation of umpires, leading to fewer called strikes on edges of zone, per report - CBSSports.comwebQuantifying the Impact of Poor Umpiring with @UmpScorecard Data - Conor McLaughlinwebUmp Scorecard Bias Revisited : r/Astros - Redditmore_vertr/baseball on Reddit: The "umpire scorecards" Twitter account has been getting a lot of buzz on the subreddit lately, so I decided to do a deep dive on what we've seen from the season thus far