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<blockquote data-quote="FredJacket" data-source="post: 936687" data-attributes="member: 2843"><p>RPI ONLY uses current season's data. Here's the input:</p><p></p><p>1) Games played between Division1 opponents</p><p>2) Location of game (home, away, neutral)</p><p>3) Result of game (win, loss, or tie)</p><p></p><p>And here's the formula:</p><ul> <li data-xf-list-type="ul">50%: the combined winning percentage of all opponents</li> <li data-xf-list-type="ul">25%: the combined winning percentage of all opponents of those opponents</li> <li data-xf-list-type="ul">25%: a teams own winning percentage adjusted for location</li> </ul><p>It's a simple calculation. It's also an imperfect way to "rank" teams.... mainly because there's not enough cross- pollination between east & west teams. This fact likely helps east coast teams... but I can't prove that. </p><p></p><p>The output before... say... mid-April is not worth anything. Need those opponents & opponents of opponents winning % to get established.</p></blockquote><p></p>
[QUOTE="FredJacket, post: 936687, member: 2843"] RPI ONLY uses current season's data. Here's the input: 1) Games played between Division1 opponents 2) Location of game (home, away, neutral) 3) Result of game (win, loss, or tie) And here's the formula: [LIST] [*]50%: the combined winning percentage of all opponents [*]25%: the combined winning percentage of all opponents of those opponents [*]25%: a teams own winning percentage adjusted for location [/LIST] It's a simple calculation. It's also an imperfect way to "rank" teams.... mainly because there's not enough cross- pollination between east & west teams. This fact likely helps east coast teams... but I can't prove that. The output before... say... mid-April is not worth anything. Need those opponents & opponents of opponents winning % to get established. [/QUOTE]
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