I am posting this as a new thread of its own, because I don't believe that such an interesting, valuable, and practical source of information as this should be relegated into a subordinate debate over any one player or limited group of players who may be seen to have violated norms for the topic.
I am NO expert on this topic, just an informed fan who has read quite a bit of data on the subject. I do believe that the subject, for many reasons, may be a mother lode of information for players, coaches, scouts and numbers crunchers ... a mother lode of data sorting that may be seen as in its infancy.
My default expert on this subject is Tom Tangotiger. When I cite his work here, I do not pretend to recite it, quote it, or parrot it. The last thing I want to do is put words into TT's mouth [and therfore, my foot into my own].
Re-reading some of TT's work today, I came away with these impressions as reasonable conclusions to be made from a number of his articles [and responses to replies from those making comments]:
1. It appears that player age patterns and expectations are related to the length of the player's career. In using a peak performance number as denominator for hitters, it would seem that players with much longer careers have extended ages at which seasons close to peak performance may be expected. I refer here to the model that takes players from age 21 and up, plotting their career maturing process, peak and aging process. A goodly number of players in that study have seasons above the ages 33 and 34 at which performance is 90% or better of absolute peak.
2. In another portion of his work, TT alludes to the apparent revelation that players who exhibit early and maturing speed gifts above average tend to age more gradually [better?] than those lacking the illustrated speed attribute. There is some discussion on this matter; but the consensus seems to relate speed as a multi-faceted talent, which probably related to overall condition, conditioning disciplines, and overall player focus and awareness of every situation.
3. I have personally noticed in each model that as players age their BB rates improve, even into years [ages] where some determine that a player must be in decline. I have also noticed that players' K rates rise, but at a slower rate, suggesting that a player with good BB skills early in the development stage who simultaneously manages to gradually reduce his K rates, will most assuredly exhibit that extended age
bump toward peak which exhibits a decent number of examples ages 35 through 37.
I doubt that serious study into this age progession science is more than 12-15 years old, therefore quite early in its own process and consistently gathering new and varied samples for crunching into the existing data base.
Those intersted in pursuing this topic further, from an expert perspective, can access Tangotiger at his website.
I access it via Google Search: Tangotiger: MLB aging patterns.
I am NO expert on this topic, just an informed fan who has read quite a bit of data on the subject. I do believe that the subject, for many reasons, may be a mother lode of information for players, coaches, scouts and numbers crunchers ... a mother lode of data sorting that may be seen as in its infancy.
My default expert on this subject is Tom Tangotiger. When I cite his work here, I do not pretend to recite it, quote it, or parrot it. The last thing I want to do is put words into TT's mouth [and therfore, my foot into my own].
Re-reading some of TT's work today, I came away with these impressions as reasonable conclusions to be made from a number of his articles [and responses to replies from those making comments]:
1. It appears that player age patterns and expectations are related to the length of the player's career. In using a peak performance number as denominator for hitters, it would seem that players with much longer careers have extended ages at which seasons close to peak performance may be expected. I refer here to the model that takes players from age 21 and up, plotting their career maturing process, peak and aging process. A goodly number of players in that study have seasons above the ages 33 and 34 at which performance is 90% or better of absolute peak.
2. In another portion of his work, TT alludes to the apparent revelation that players who exhibit early and maturing speed gifts above average tend to age more gradually [better?] than those lacking the illustrated speed attribute. There is some discussion on this matter; but the consensus seems to relate speed as a multi-faceted talent, which probably related to overall condition, conditioning disciplines, and overall player focus and awareness of every situation.
3. I have personally noticed in each model that as players age their BB rates improve, even into years [ages] where some determine that a player must be in decline. I have also noticed that players' K rates rise, but at a slower rate, suggesting that a player with good BB skills early in the development stage who simultaneously manages to gradually reduce his K rates, will most assuredly exhibit that extended age
bump toward peak which exhibits a decent number of examples ages 35 through 37.
I doubt that serious study into this age progession science is more than 12-15 years old, therefore quite early in its own process and consistently gathering new and varied samples for crunching into the existing data base.
Those intersted in pursuing this topic further, from an expert perspective, can access Tangotiger at his website.
I access it via Google Search: Tangotiger: MLB aging patterns.
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