Traditionally in the MLB, Major League Baseball, a player’s relative worth was measured by his recent successes. The qualitative opinions of scouts, batting average and the number of strikeouts were a few of the various metrics used to gauge a player's value (Lewis 2003). In 2002, general manager Billy Beane of the cash-strapped Oakland Athletics revolutionized baseball. He argued that current player evaluation was inaccurate and inefficient and that the use of new “analytical gauges” of player performance was more telling of player contribution. Beane effectively unveiled the hidden value from overlooked players-hence introducing Moneyball to the one true American pastoral, Major League Baseball. Consequently, sabermetrics: the application of statistical analysis to objective evidence, has been accepted into the game and continues to impact aspects of player evaluation through its continual evolution and search for other undervalued traits to more precisely measure a player’s monetary value. Ever since Michael Lewis’ Moneyball popularized, sabermetrics has unceasingly evolved. Beane commenced the use of statistics to evaluate and trade for under-appreciated players who did not command exorbitant salaries but as a team excelled at producing runs and winning games. Subsequently, more advanced metrics were …show more content…
A regression model is produced for each respective period to account for the time lag in the adjustment of prices. Rosen’s hedonic model helps appraisal the importance for various player statistics and enables the reduction of a player to characteristics and qualities that MLB teams