233Re: Similarity Scores
- Sep 12, 2001
--- In APBR_analysis@y..., "Michael K. Tamada" <tamada@o...> wrote:
....discriminant analysis and logistical regression .... Euclidean
> sqrt( X^2 + Y^2 + Z^2 + ...) where X, Y, Z, etc. are the difference
> between, say, Magic Johnson and Larry Bird ....., Mahalonobis
distance does NOT take into account the second
> problem, that certain variables might deserve more weight than
A friend of mine says "Anyone who drives faster than me is a fukkin
maniac, and anyone who drives slower is a goddamn asshole".
Similarly, I say, anyone who uses less math than me is some kind of
moron, and whoever uses more must be some kind of geek.
> Also, after the initial analysis, I'd want to put in some sort of
> correction for era or game pace. Bob Cousy's 43% career FG% (or
> it was, I'm saying this off the top of my head) reminds me more of
> Thomas's 46% than it does Alan Iverson's 43%. Despite the
> similarity of Cousy's and Iverson's FG%. (Again I'm not vouching
> those specific numbers, just saying that I'd rather see the numbers
> context, i.e. corrected for era and/or game pace.)
Cousy never once managed to make 40% of his FG during a season; his
career scoring pct. was .440. (Iverson's is .500; Isiah's was .508).
> For Hall of Fame purposes, I think discriminant analysis or
> probit regressions are better than merely measuring distance. I
> once for NBA all-stars one season, the predictions were not 100%
> but you could at least separate the players into three groups:
> all-stars, clear non-stars, and the "on the bubble" players.
Last season, the West selected my top 11 Western players to the
allstar team, but skipped #12 Nowitzki in favor of teammate Michael
Finley (#30 or thereabouts).
Meanwhile the East seemed to pick at random, ignoring most forwards
as they had ignored all point guards the year before.
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