In cricket, we don't have any data on spin axis, seam orientation etc. One additional aspect that is unique to cricket, is ball condition.

Would love to pick your brain on pre-match pitch measurements among other things. That's the one aspect I have least exposure to.

Here's are Kohli & Smith's aging curves overlaid.

Both are now at or below the replacement level, which is an average Test batter who is ~28yrs of age.

...in Ponting & Jayawardene

& outside the club in Kohli (I think
@jarrodkimber.bsky.social
pointed this out recently)

But the extent of Kohli's decline is unparalleled in the 10K club.

I am extremely grateful to Doug Fearing & Luke Bornn at Zelus and Jake Lush McCrum, @gilolindsay.bsky.social, Zubin B. & Kumar S. at RR for giving me the opportunity to be a part of this journey, for the flexibility & involvement that I had with my role and for the support along the way.

It has been an absolute blast and a privilege working with some of the most amazing minds in sports data science and Cricket itself and helping bring advanced analytics to the sport that means so much to me.

Working at the highest level in Cricket has taught me a great deal about the game and how it works under the hood. It has also left me hungry for more and aware of pitfalls and opportunities. I walk away from this enriched by the experience and by the friends I have made.