Site icon R-bloggers

How to pick the best cricketer in any format of the game?

[This article was first published on Enterprise Software Doesn't Have to Suck, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Recently ICC awards 2010 were announced and I began wondering how the process works. I haven’t seen any good documentation of the process, so I started thinking  how would I do it. Here’s my version. Thoughts?



Note: I is impossible to determine this by number crunching only as there are many factors that are not qualitative e.g. on and off-field behavior etc. 





Okay, so lets test it. Lets walk thru this process to determine the best One Day Cricketer for 2010.

1) PERFORMANCE SCAN
Using my batting, bowling and all rounder comparison chart, I quickly identify the best performers in each role.

Top batsmen between Aug 2009 – Aug 2010
  • TM Dilshan
  • AB de Villiers
  • SR Tendulkar
  • HM Amla


Top bowlers between Aug 2009 – Aug 2010
  • RJ Harris
  • SCJ Broad
  • DE Bollinger
  • MG Johnson
  • SR Watson
  • JM Anderson
  • DL Vettori



Top all rounders between Aug 2009 – Aug 2010
  • SR Watson
  • DL Vettori
  • TM Dilshan
  • JH Kallis



2) DETAILED EVALUATION
So here are the 12 best One Day Cricket players for 2010
  • TM Dilshan
  • AB de Villiers
  • SR Tendulkar
  • HM Amla
  • RJ Harris
  • SCJ Broad
  • DE Bollinger
  • MG Johnson
  • SR Watson
  • JM Anderson
  • DL Vettori
  • JH Kallis

Lets evaluate their performance thru a detailed report of their batting and bowling performance.


Findings of detailed batting performance analysis – COMING SOON




Findings of detailed bowling performance analysis – COMING SOON

To leave a comment for the author, please follow the link and comment on their blog: Enterprise Software Doesn't Have to Suck.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.