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Anantha Narayanan

Extreme batting - fastest and slowest innings in Tests

What are the fastest and slowest Test innings of all time

Charles Davis
25-Feb-2013
What are the fastest and slowest Test innings of all time?
One way to answer this is by measuring how far each innings deviates from normal innings of similar size. To do this, we take every innings of a given size – in terms of runs scored – calculate the average (or mean) balls faced, and then calculate the standard deviation, which is a measure of the spread or variability of the data. We can then give the most exceptional innings a z-score (the number of standard deviations from the mean) which becomes a measure of how extraordinary the innings were.
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The best batsmen at each position

My blog post from January 9 has received a fair number of comments

My blog post from January 9 has received a fair number of comments. Some of the readers have raised relevant queries and points which deserve a response. Here is my attempt to answer them, and also check out the best batsmen at each position.
The opening-position conundrum
A couple of readers have suggested that the two openers be allotted a number other than 1.00. The two suggestions offered are 1.5 or 2.0 for both openers. Both suggestions have their merits. 1.5 is more correct since the total for the two batsmen comes to 3.0 which is the sum of 1 and 2. However it does not look good as 1.0 or 2.0 would do. Allotting 2.0 to both batsmen is probably the better solution since it allows one to maintain continuity in numbers from 2.0 to 11.0. The other major benefit is that when an opener bats at 3.0, the variance will be a more correct 1.0 than the somewhat bloated 2.0 as is currently the case. Hence I have decided to allot both openers 2.0 and re-do the tables.
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The Monopolists

Some of the more intriguing Test records cannot be found by looking at traditional scorecards

Charles Davis
25-Feb-2013
Some of the more intriguing Test records cannot be found by looking at traditional scorecards. Hat-tricks are a prime example, but there are endless possibilities. I recently came across a case, at The Oval in 1886, of WG Grace scoring 60 runs while his batting partner, W Scotton, remained scoreless, stuck on 21. I wondered, what is the greatest number of runs scored while one batsman remained scoreless? I knew of one example greater than Grace: in his legendary 232 at Trent Bridge in 1938, Stan McCabe scored the last 66 runs of the Australian innings, while batting with Chuck Fleetwood-Smith.
Are there any modern parallels? This is where Cricinfo’s ball-by-ball archive, with more than 400 Tests since 1999, comes in. Make a suitable database out this archive and it can be searched for feats like this.
It’s not as simple as it sounds, but some results are in. Bear in mind also that the archive was set up more as a detailed commentary than an “official” statistical source, and contains gaps. Anyway, here are some results for extreme domination of scoring.
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The new, improved batting average

The batting average is a simple and fairly convenient way of putting a number to a player’s batting ability, but it doesn’t give the entire picture

The batting average is a simple and convenient way of putting a number to a player’s ability with the bat, but often it doesn’t give the entire picture. One major problem with the conventional average – which is calculated by dividing the total number of runs scored by the number of completed innings – is the way it deals with not-outs. Consider the stats for two of the greatest batsmen in the modern era:
Brian Lara and Sachin Tendulkar in Tests
Batsman Tests Innings Not-outs Runs Average Runs per Test
Brian Lara 131 232 6 11,953 52.89 91.2
Sachin Tendulkar 141 228 24 11,207 54.94 79.5
Lara has scored nearly 750 more runs in ten fewer Tests than Tendulkar. His runs per Test is nearly 12 runs more than Tendulkar's. However his average is nearly two runs behind Tendulkar, primarily because of the number of not-outs that Tendulkar has had. It might be partly because of the way Lara played, almost always in an attacking mode. Possibly also because Tendulkar, with an average Batting Position Index, which is the average batting position at which a batsman has batted in, of 4.30 as against Lara's figure of 3.78, probably has a slightly higher chance of remaining not out.
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