Analytics is a hot topic in sports today. Pro teams and leagues are on the look out for new ways to use analytics for a plethora of decision making instances — from improving the fan experience and building sponsorships to making better draft picks and predicting injuries.
Everyone recalls the Moneyball story about how the Oakland A’s used analytics to create a winning team for the 2002 season. For many, that story was an eye-opener on the power analytics had on player selection. But a lot has changed since then. Today, teams are turning to analytics to answer tougher problems and mine unprecedented mountains of data.