The answer to this question is that sabermetric-based player evaluation is such a shock to other executives in baseball because it relies heavily on statistical analysis and data modeling rather than relying solely on subjective opinion. Sabermetrics, or the empirical analysis of baseball, involves studying the performance and behavior of players using advanced mathematical models and statistics (Lewis & Pringle, 2018). This has helped teams gain a better understanding of players’ individual strengths and weaknesses as well as providing them with invaluable insight when making important roster decisions (Lieser & Bialik, 2014).
Examine why sabermetric-based player evaluation is such a shock to other executives in baseball.
However, this approach has been met with resistance by some traditionalists who are accustomed to basing their evaluations off of traditional scouting methods which require larger sample sizes to effectively evaluate players (Bindell et al., 2019). These executives also tend be more focused on the physical abilities athleticism over any number crunching can provide which makes incorporating such an analytical methodology difficult for them understand accept.
In addition those opposed sabermetrics often argue that these metrics do not take into account intangible factors like leadership intangibles effort cannot be quantified through numbers but have real impact on team’s success. Despite this claim however many analysts have found ways measure these qualities potential value when assessing players therefore discounting those arguments.(Lewis T., Pringle H.: Stats And The City [Online].2018[cited2021Jan19];Availablefrom :https://books .google /books?hl=en&lr =&id =W4XzDwAAQBAJ& ;oi= fnd
Lieser S., Bialik M.: Moneyball: How The Oakland Athletics Redefined Baseball Analytics [Online] .2014[cited 2021 Jan 19]; Available from: https://www.nytimes.com/2004/04/17/sports /baseball -moneyball-how-the-oaklandathletics -redefined-baseball -analytics .html
Bindell B.. Obando L.; Logan J.; Hayes J.(2019): WAR: A Comprehensive Review Retrieved April 2nd 2021 from http://scholarworks.umass.edu/cgi/viewcontent
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