[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.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
In a sharp contrast to previous tours of Australia, England outplayed Australia on their home ground in the recently concluded Ashes 2010-11 series (see performance comparison of 2010-11 and 2006-07 series below).
English wins in 2010-11 were convincing and Aussies must be heart broken. This series loss might be the last nail in Ricky Ponting’s coffin. His leadership and batting woes continue… Ponting’s performance in this series was similar to Collingwood’s, who decided to retire from Test cricket. Will Ponting do the same?
Ponting was the best batsman in 2006-07 with an average of 64, and this year Cook is the best batsman with an average of twice that! (see batting charts below). Hats off to Cook’s performance. His elegance and patience is a blessing for English cricket.
In Chris Tremlett, England has found a fantastic bowler. England didn’t miss a heart beat with Stuart Broad’s injury. Tremlett, Anderson and Bresnan more than filled that gap by bowling exceptionally well. England and South Africa clearly have the best fast bowling units now.
I’m looking forward to India’s tour to England this summer.
Compare 2010-11 Ashes series with England’s previous Ashes tour to Australia in 2006-07. In 2010-11, English cricketers (pink) dominated the top-right corners of batting/bowling performance charts, whereas in 2006-07 Australia (yellow) dominated the top-right section of these charts.
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.