Even as recently as a decade ago, Sabermetrics was a niche interest among baseball fans. As various concepts began to gain acceptance in the mainstream, players slowly began to accept them as well. Players like Brian Bannister and Zack Greinke were hailed as examples of a new breed of player — one who marries his athleticism with the utilization of analytics. This year, much was made of certain players’ data-driven adjustments, including Daniel Murphy and J.D. Martinez. Both had great seasons as a result of focusing more on hitting more fly balls instead of ground balls and line drives. Statistics can clearly benefit players. They can also be used against them, and not just by opposing players. The Astros, who are in the World Series for the first time since 2005, are a great example of this. The Astros spent a few years rebuilding after a complete overhaul of the front office, which included bringing in analytically-fluent Jeff Luhnow as GM after the 2011 season. That overhaul instilled so much confidence that, in 2014, Sports Illustrated writer Ben Reiter predicted that the Astros would win the 2017 World Series. He’s only four Astros wins away from being proven correct. The Astros’ front office, though, took advantage of its players at various times throughout the process. Their success is owed, in part, to exploiting its players.
Astros exemplify the player-unfriendly bent of analytics
Hardball Talk | Oct 23