I help teams and players perform better using data. Who to recruit next season, what the strategy should be, how the opposition actually plays.
This started as the thing I did because I love the sport. It has since turned into paid work for a league and for club sides, and a product role on an international analytics competition.
I wrote an unsolicited report on what it actually takes to win a BCL championship — what the data said about squad composition, match-ups and where titles are won and lost.
The league read it and hired me. I now produce advanced analytical stats for BCL, published on the league's own social channels through the season. That is the part I am most pleased about: the analysis goes out to the people playing, not into a folder.
I have worked with two teams directly, building a dashboard that shows them where they currently stand and where they are losing ground — the gaps that are invisible when you only have the scorecard and a feeling about how the season went.
Most club cricket decisions get made on reputation and memory. A surprising amount of that falls apart the moment you put numbers next to it, which is the useful bit.
I volunteer as product manager for the Data Premier League, an international cricket analytics hackathon run out of the UK and India, with finals in Bengaluru.
My job is not to run this year's event. It is to turn it into something that can run every year — a product rather than an occasion. There is a real gap for a serious, accessible entry point into cricket analytics, and DPL can fill it if it is built to last.
So far that has meant mapping the whole thing end to end: how people find it, register and form teams; what onboarding and the hackathon experience should feel like; what happens to participants after the final; and the metrics that tell us whether any of it worked. That map is what next year gets planned against.
Because it is the same job. Find the decision someone is making badly, find out whether the data actually supports a better one, then build something that puts the answer in front of them at the moment they need it.
The difference is that in cricket I do all of it myself, including the analysis, and nobody is paying me enough to make it worth faking.
If you run a team, a league, or anything else with more data than it knows what to do with, I am happy to talk.