goemaw.com
TITLETOWN - A Decade Long Celebration Of The Greatest Achievement In College Athletics History => Kansas State Basketball is hard => Topic started by: kso_FAN on February 21, 2011, 01:01:11 PM
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http://goEMAW.com/blog/?p=721
A look at how and where the Cats have improved through Big 12 play. Now we get to see if it continues...
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Good _FANalysis, _FAN. I've been wondering lately if there are any kenpom types who put an emphasis on how a team has been playing lately, say in the most recent 2-3 games, when factoring in how they think the rest of the season will go. Seems like it would be a useful addition to an equation.
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I blame mysftcoach who sits behind the bench
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Good _FANalysis, _FAN. I've been wondering lately if there are any kenpom types who put an emphasis on how a team has been playing lately, say in the most recent 2-3 games, when factoring in how they think the rest of the season will go. Seems like it would be a useful addition to an equation.
i thought i saw that kenpom weights recent results heavier than earlier results :dunno:
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Good _FANalysis, _FAN. I've been wondering lately if there are any kenpom types who put an emphasis on how a team has been playing lately, say in the most recent 2-3 games, when factoring in how they think the rest of the season will go. Seems like it would be a useful addition to an equation.
i thought i saw that kenpom weights recent results heavier than earlier results :dunno:
It does.
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Good _FANalysis, _FAN. I've been wondering lately if there are any kenpom types who put an emphasis on how a team has been playing lately, say in the most recent 2-3 games, when factoring in how they think the rest of the season will go. Seems like it would be a useful addition to an equation.
i thought i saw that kenpom weights recent results heavier than earlier results :dunno:
It does.
Do you know how?
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Good _FANalysis, _FAN. I've been wondering lately if there are any kenpom types who put an emphasis on how a team has been playing lately, say in the most recent 2-3 games, when factoring in how they think the rest of the season will go. Seems like it would be a useful addition to an equation.
i thought i saw that kenpom weights recent results heavier than earlier results :dunno:
It does.
Do you know how?
I'm sure he's said more specifically somewhere, but there is this from his site:
Adjusted efficiency: Raw offensive efficiency is points scored per 100 offensive possessions. The adjusted version adjusts for the quality of opposing defenses, the site of each game, and when each game was played (recent games get more weight). Defensive efficiency is points allowed per 100 defensive possessions, adjusted for the same things.
My efficiency numbers for offense and defense don't account for his tweaks, but I think the comparisons are still valid.
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The inputs into the pythagorean equation are the team’s adjusted offensive and defensive efficiencies. Any time you see something “adjusted” on this site, it refers to how a team would perform against average competition at a neutral site. For instance, a team’s offensive efficiency (points scored per 100 possessions) is adjusted for the strength of the opposing defenses played. I compute an adjusted offensive efficiency for each game by multiplying the team’s raw offensive efficiency by the national average efficiency and dividing by the opponent’s adjusted defensive efficiency. The adjusted game efficiencies are then averaged (with more weighting to recent games) to produce the final adjusted offensive efficiency.