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The Analytics Era in Major League Baseball emerged in the early 2000s. A slew of new metrics, such as OBA (weighted on-base average), FIP (fielding-independent pitching) and WAR (wins above replacement), began to supplant batting average, a pitcher’s win totals, and other traditional statistics.

Today, every front office employs mathematicians and computer scientists in a quest to develop an objective understanding about the game. Known colloquially as sabermetrics, this scientific analysis complements the traditional eye test in assessing a player’s value, worth, and promise, as well as guiding in-game strategy.

Analytics also provide an historical context that can help uncover cross-generational details about the game. A notable example of this impact occurred in late 2020 when Major League Baseball announced that it would include Negro League records into official MLB records.

In this program, moderator Brian Kenny from MLB Network and a panel of experts will explore the role of Big Data in baseball, its impact on the history of the game, and what it means for the future of America’s pastime.