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Sunday's Reflexions on Basketball Statistics:
The Future of Basketball Statistics
Conventional wisdom says linear weights are the best way to predict team performance, but is it?
Hoopsworld.com writer Kevin Pelton takes a hard look at the problems with linear weights and its dismal correlation coefficient (0.577) and rounds up some suspects for logical flaws in the method in his piece on The Future of NBA Statistics: Part One.
"Maybe every thing we track is equally important, and the weight for each statistic is one. Bam, you've got Manley Credits, or the NBA's Efficiency Rating System.
TENDEX’s relative success begat a number of different rating systems, with different values, or weights, on each major statistical category, but all of the same general form:
Image: Hardwood Paroxysm
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