chasingthedon
International Regular
Having never been a fan of batting averages, here Dave proposes a possible alternative.
Cricket Web - Features: Batting Medians
Cricket Web - Features: Batting Medians
Agreed. There are some cases where high numbers can be ignored as outliers, and hence median becomes a better measure than mean. But batsmanship is not one of those cases.I see a major blip in that analysis. This basically treats a long innings as a probability innings, which is not the case.
Fred please understand when we talk about batting averages, number of innings in no way corresponds to the sample size. The sample size is 'number of dismissals'. So, Bill Johnston's 1953 might have 17 innings, but should have much lesser number of dismissals - thereby making the sample size insignificant for any analysis....Bill Johnston's achievement in 1953 when, over as many as 17 innings, he averaged 102 (against a career average of 12)
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Exactly. Doing some analysis based on avg and stdev should be fine. avg would indicate how they performed on average, and stdev would indicate how consistent they were.that's ridiculous because then u are under appreciating batsmen who score giant scores now and then (lara). Maybe if u want u can have batting average + standard deviation.
I do appreciate that, and towards the end of that tour the whole Australian side were "conspiring" to try and bring about a situation where Johnston averaged 100, so it was all artificial anyway - all I was really trying to say was that I thoroughly enjoyed the article, it got me thinking and I am grateful to Dave for putting in the hard yards to come up with it.Fred please understand when we talk about batting averages, number of innings in no way corresponds to the sample size. The sample size is 'number of dismissals'. So, Bill Johnston's 1953 might have 17 innings, but should have much lesser number of dismissals - thereby making the sample size insignificant for any analysis.
The median just says, assuming a reasonable sample size, that there is an approximately 50% chance that the batsman will exceed that score. It doesn't take into account by how much the batsman is likely to exceed their median score. As such it might be a better measure of reliability, but it isn't a better measure of ability. That someone like Katich has a higher median than say Lara and Tendulkar is a good example of this.
It's interesting thing to look at, but like others, I won't rate players based on medians.
awtaThe median just says, assuming a reasonable sample size, that there is an approximately 50% chance that the batsman will exceed that score. It doesn't take into account by how much the batsman is likely to exceed their median score. As such it might be a better measure of reliability, but it isn't a better measure of ability. That someone like Katich has a higher median than say Lara and Tendulkar is a good example of this.
AdamC is absolutely right mate