Cricket x Analytics: What It Is & How to Build a Career in It ft. Soumajit Chail

Soumajit Chail, a chemical engineer turned business analyst who now runs multiple businesses, walked into a conversation about cricket analytics with a clear goal: demystify what sports analysts actually do and lay out a realistic path for anyone who wants to follow them. The episode is less about cricket trivia and more about the mechanics of turning raw match data into decisions that win games — and the gritty, unsentimental work required to break into a field where demand far exceeds supply.

The Four-Layer Funnel of Sports Analytics

Chail breaks down the work of a sports analyst into four distinct stages, each with a concrete cricket example. Descriptive analytics is the dashboard view: a bowler's economy rate by over, a batsman's strike rate against specific bowling types, win rates by venue. It tells you what happened. The coach sees one anomaly — say, Bhuvneshwar Kumar leaking runs in the 16th over — and needs a consolidated view to spot the aberration.

Diagnostic analytics asks why. Chail describes it as root-cause analysis: is the problem psychological, a matter of bowling angle, line and length, field setting, or the specific batsman at the crease? The analyst treats the bowler's performance in that over as the Y variable and tests dozens of X variables — speed, bowling end, wind, pitch, opponent — to isolate the true cause.