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<blockquote data-quote="stinger78" data-source="post: 996745" data-attributes="member: 6771"><p>I like Colley for just that reason: wins and losses. Everyone else tries to model wins and losses using some type of proxy. However, as I’ve said many times, the factors used as indicators for the proxy (both formative and reflective) are many and confounding and full of statistical error.</p><p></p><p>We all know the “transitive property” doesn’t work well in athletics, but if you generate a large enough sample you can minimize that error. Using first and second level W/L is a way to do that. Still, like any algorithm, there will be some head scratchers along the way.</p></blockquote><p></p>
[QUOTE="stinger78, post: 996745, member: 6771"] I like Colley for just that reason: wins and losses. Everyone else tries to model wins and losses using some type of proxy. However, as I’ve said many times, the factors used as indicators for the proxy (both formative and reflective) are many and confounding and full of statistical error. We all know the “transitive property” doesn’t work well in athletics, but if you generate a large enough sample you can minimize that error. Using first and second level W/L is a way to do that. Still, like any algorithm, there will be some head scratchers along the way. [/QUOTE]
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