Freo2012
Premiership Player
too many factors involved and thus taking a first level stat (average) is irrelevant. Need to properly analyse the distribution as well as the AFL experience distribution and then the two combined and do correlation analysis - which will confirm the old adage of getting past "x" number of games. (ie. get some decent correlation software and enter the 2 sets of data(individual ages and AFL games experience) for each player in each AFL game played (large database) going back 20+ years which gives its own distribution and compare the GF teams to those)
A few basic logic things worth always remembering:
Increasing age gives greater strength (males strongest and fittest in late 20's, early 30's - proven scientific fact) countered by accumulation of body wear from prior years. Experience at AFL level should give greater "footy smarts" and skills.
Hence why there are some pure gems picked up in mature age recruits with potentially older playing age, presuming they are comparatively better "preserved" from body wear point of view (as they will lack from experience point of view).
Like anything, stats are very deceiving to those that don't really understand them and the levels of relevancy. Those that quote without understanding their relevancy are either dumb (as those that do understand see straight through the deception of ignorance and laugh at their mis-use) or trying to deceive the unknowing - hence why the sportsmedia love them.
The easiest way to explain why "average" anything is normally totally irrelevant is this: You can get a population that has an average of x, but the actual distribution might comprise results only above and below - the average is indeed x but no individual in the population is ever x.
A few basic logic things worth always remembering:
Increasing age gives greater strength (males strongest and fittest in late 20's, early 30's - proven scientific fact) countered by accumulation of body wear from prior years. Experience at AFL level should give greater "footy smarts" and skills.
Hence why there are some pure gems picked up in mature age recruits with potentially older playing age, presuming they are comparatively better "preserved" from body wear point of view (as they will lack from experience point of view).
Like anything, stats are very deceiving to those that don't really understand them and the levels of relevancy. Those that quote without understanding their relevancy are either dumb (as those that do understand see straight through the deception of ignorance and laugh at their mis-use) or trying to deceive the unknowing - hence why the sportsmedia love them.
The easiest way to explain why "average" anything is normally totally irrelevant is this: You can get a population that has an average of x, but the actual distribution might comprise results only above and below - the average is indeed x but no individual in the population is ever x.
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