This information is certainly available through StatsGuru of Cricinfo' However" what will not be available are the composite multidimensional tables which are provided here' You would have to put in multiple queries and saving the tables in an accessible format is another problem'
In order to avoid the usual questions and comments which relate to specific players" let me explain how these series of articles would be structured' I would cover the top$selected 10)12 players in a graph to visually present the variations' Then I would present data tables" in the body of the articles" which would normally cover the top 30 players or so' However the most important of the tables are the ones which have been uploaded and are available for downloading for permanent storage and perusal' Normally these cover the complete set of players" say 150 or so" who meet the cut)off criteria' So" before coming out with comments that ,Miandad or Graham Gooch or Amarnath is not mentioned," please download the tables and check' Superficial reading of the articles is not enough'
The vs Country grouping is simple' I have 10 countries• Australia" Bangladesh" England" India" New Zealand" Pakistan" South Africa" Sri Lanka" West Indies & Zimbabwe' And the analysis is very extensive in that it is by country played against• at home" away and across career' These being Test matches" I have also analyzed the career averages by first and second innings'
1' The criteria is 3000 Test runs for the career analysis and 2000 runs for the other analyses' I know that Pollock and Headley will miss out' However I do not want to lower the target further since the vs Country numbers would be too low'
2' There is no problem with using the Batting Average since this is an analysis of Test matches' Not outs do not play that significant a part as happens in the ODI game'
3' There are problems with the single Australia)ICC Test match' It could be said that the ICC players played against Australia away' Fine' But what about Australia' Which country did they play against@ And I am not certainly going to allocate part of the match runs$wickets only' So this match has been completely excluded from the analysis' So do not come out with a complaint if you see Muralitharan" in the next article" with 795 wickets and Hayden" in this analysis" short by over 100 runs'
4' There is no neutral location' Too few matches ^probably a maximum of 20& have been played in the neutral locations for me to classify these' These are treated as ,Away, for both" probably a very fair assignment'
There are some similarities between this and the previous article on Bradman' However that article had the individual innings as the basis while this analysis has" as basis" the runs scored in different locations" against other teams and different team innings' The objectives are quite different' There are different insights to be drawn' In these articles the unassailable fact is the superiority of Bradman" in figures' So all attempts have been made to highlight facts related to other batsmen' I request readers to try and maintain this' After all there are other Test batsmen than Bradman and Tendulkar'
First the graphs' I would only offer limited comments since I expect the readers to come out with their own comments' I might anyhow miss some obvious comment' Should not really matter' The ordering is different for different modes of presentation since we can get different insights' In general" the graphs are ordered by the concerned Batting Average values and the tables are ordered by the appropriate Runs scored values'
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