DrWolverine
International Debutant
Primary discipline in test cricket
Just checked. If you exclude Bang & ZimSachin. More diverse success. Hadlee was three favorable countries mainly.
Who cares lol, Tendulkar had a massive advantage to make his stats appear nice to checklist-lovers, being playing approximately 370 tests.Sachin. More diverse success. Hadlee was three favorable countries mainly.
The more you play over a long period is less advantage actually. You can rectify mistakes but also harder to maintain consistencyWho cares lol, Tendulkar had a massive advantage to make his stats appear nice to checklist-lovers, being playing approximately 370 tests.
That is categorically false. Over a greater sample size, consistency is increased.The more you play over a long period is less advantage actually. You can rectify mistakes but also harder to maintain consistency
You get a greater sample size only if you are consistent. Consistency is the cause not effect.That is categorically false. Over a greater sample size, consistency is increased.
OK I see what you are saying. But that's only true if your "true" averages in all conditions are consistent. Then over a larger sample they will all converge with much less likelihood of random large deviations. But if your "true" averages in all conditions are not consistent, higher sample will do nothing. Like Sehwag's averages in India and SA would never converge even if he played a lot more matches in SA too.That is categorically false. Over a greater sample size, consistency is increased.
This is the point. Someone with a weakness for a particular country will have that exposed more easily with larger samples.OK I see what you are saying. But that's only true if your "true" averages in all conditions are consistent. Then over a larger sample they will all converge with much less likelihood of random large deviations. But if your "true" averages in all conditions are not consistent, higher sample will do nothing. Like Sehwag's averages in India and SA would never converge even if he played a lot more matches in SA too.
I suppose I do refute the belief that these true averages are that lopsided. Most weaknesses that get pointed out in this subforum are guys averaging 35 off 10 tests – and if you played 10 tests each against 10 countries given a true average of 50, you'd expect some outliers. As all those ATGs with gaping holes in their records against Bangladesh and NZ show, it's largely just white noise.OK I see what you are saying. But that's only true if your "true" averages in all conditions are consistent. Then over a larger sample they will all converge with much less likelihood of random large deviations. But if your "true" averages in all conditions are not consistent, higher sample will do nothing. Like Sehwag's averages in India and SA would never converge even if he played a lot more matches in SA too.
Yeah you got to apply some eye test verification to those checklist numbers.I suppose I do refute the belief that these true averages are that lopsided. Most weaknesses that get pointed out in this subforum are guys averaging 35 off 10 tests – and if you played 10 tests each against 10 countries given a true average of 50, you'd expect some outliers. As all those ATGs with gaping holes in their records against Bangladesh and NZ show, it's largely just white noise.
Of course, analysis by checklist is bad regardless of this point under contention, but this is why I personally think it's intrinsically misleading.
No he's like the God of Cricket.So he’s like the LeBron James of cricket?
What's the difference between checklist versus pointing out someone has a poor record in a country?Of course, analysis by checklist is bad
Unless you're actually analysing how a player's record in a country demonstrates a weakness in their game, there is no appreciable difference.What's the difference between checklist versus pointing out someone has a poor record in a country?