Why do workable analytics-based strategies always seem to fail when the playoffs start?

Innovations from the front office are keeping fans engaged and disrupting the staid order in sports.

Counterpoints takes a closer look at whether football’s running game still matters.

As sports become ever more analytical, can there be such a thing as too much data?

Counterpoints looks at whether analytics can quantify team chemistry.

Defensive analytics are shaping how NBA basketball strategy is evolving.

Analytics can help NBA teams make better draft pick decisions.

Counterpoints looks at predicting the college football playoffs with UW-Madison’s Laura Albert.

Analytics from ESPN have shown just how important the offensive line is in the NFL.

People analytics is at the heart of eSports success.

A star’s absence, even if it’s just a night off, can mean big financial losses for NBA teams.

Elite soccer academies are using analytics to help identify future star talent in the schoolyard.

By adding new incentives to long-term contracts, teams may be able to offset the likelihood of poor effort.

A sports analytics look at how much credit to give a winning team’s coach.

The latest debate in baseball is whether out-getting can become more than a post-season fad.

Understanding how a QB processes information may hold the key to identifying future talent.

In baseball, analytics can help with defensive strategy—but using it may reduce fan engagement.

Can an individual football player’s talent be predicted? Wharton professor Cade Massey thinks not.

Are data analysts who develop strategy truly paid what they’re worth?

Skeptics want to know: How much of a difference do analytics actually make?