1720Re: Cross Generational Simulating/Comparisons
- Jan 28, 2003One last try.
If a team of 6'7" guys wins in a league where the average is 6'5",
would that team do as well in a league where the average is 6'7"? My
sense is No. Coaches/scouts say No. The stats say No. Bob says
Yes, it's already accounted for in their basic stats.
Other questions for me to deal with.
--- In APBR_analysis@yahoogroups.com, bchaikin@a... wrote:
> The point was that you seem to claim that height differences don't
> Compare one season to the next and your simulator does about right
> though average heights change.
> no - i am not claiming anything. it is you claiming/pointing out
that the sim
> does not take into account height differences from year to year,
and that it
> should. my point is the sim does just fine reproducing real life
> within a single season where there are players ranging in height
> from 5'3" to 7'7" - based on their and their teams real life
> statistics in a season are the results of what happened when
> different heights played each other, no? players play multiple
> over not just years but decades...
> if one was to truly believe your arguments for why you could not
> season versus another, whether they be close to each other in time
> different eras, simply because the teams don't in real life play
> then there would never have been a world series in baseball between
AL and NL
> teams when the leagues only played games within their leagues.
since the AL
> only played their AL counterparts, and the NL teams only played
> counterparts, how could anyone have possibly believed or trusted
> of a match between the AL and NL champions in a world series?? i
mean - after
> all - they never played against one another...this is your logic...
> same for ABA teams versus NBA teams. they never played one another
> seasons - how could anyone trust the results between an ABA team
and an NBA
> team, when they have never played each other before? based on your
> but i seem to remember alot of world series and ABA/NBA
> Coaches and scouts certainly use height as a tool for evaluation.
> helps shoot over people, pass over people, and catch balls. There
> logical basis for height meaning something.
> height is merely one of a number of facets to a player's game that
> look at. are you saying height is the only tool coaches/scouts use
> evaluation? the major, dominant tool? for every coach you can quote
> says height is a dominant factor, i can quote you one that says
speed is more
> important - for shooting over/thru people, for passing around
> catching balls. there is a logical basis for speed meaning
> And there is a statistical basis, too. An inch over the league
> height improves both an offense and a defense. Statistically, it's
> least. Not every tall team wins and not every short team loses.
> talking statistics, right?
> fine, take every team, multiply the players heights (on each of the
> their minutes played to get the avg height on the court for each
> run that thru history by charting it against W-L record, and come
> some kind of correlation factor...
> but don't forget to also do this for speed, and dribling ability,
> ability, and other facets of players......otherwise, based on your
> would be leaving out important facets that a sim also does, no?...
> I can give you the numbers, but if you don't think it's true,
> so what if it is true? what is your point? are you suggesting that
> certain eras need to get a 1 or 2 or some odd point spot in each
> between teams of different eras to account for some statistical
> or that rebounding or some other stat should be adjusted because
one era is
> an average of one inch lower than another? what about within the
> what about a statistical bias for speed? are you going to ignore
> somehow compensate teams for height differences? how can you make
> adjustment for height but not speed?...
> i could probably do a study that would show that there is a
> between NBA blue eyed players and brown eyed players, as if that
> applicable to the playing of the game, and if there was indeed a
> bias, such that say brown eyed players scored more (and scoring
> who wins or loses) that some statistical bias should be awarded to
> more brown eyed players...
> when you decide to develop a simulation, if you believe you should
> take away from a team's totals merely because of height
differences, or speed
> differences, or brown/blue eyed differences, be my guest..
> if you are going to look at and/or compensate statistically for
> height, then you probably should also for player weight, whether a
> R or L handed, whether they are fast or slow, because i'm sure all
> separate facets can be shown to have a statistical bias. how can
you pick and
> choose which to use and which not to use?....
> but since players of different heights, different speeds, and
> color all produce the statistics, i'll just use the actual
> bob chaikin
- << Previous post in topic Next post in topic >>