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It's funny how much shutout wins (and shutout losses) factor so heavily in Cullen's rankings. Oh well, I print them out to line the bottom of my bearded dragon's cage.
is that a euphemism?
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In any case, it was this realization that prompted me to try and generate my own method for power rankings and it involved establishing ratings for every player.
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So, now that each player has a rating based on his statistical production, the next step is to generate team rankings and I do that by weighting each player's contribution based on their role on the team.
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Additionally, by using statistics alone to generate the rankings, there should be no illusions of bias or favouritism affecting the rankings.
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The premise, then, of my NHL Power Rankings is to determine the team that would be favoured to win a seven-game series on neutral ice.
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Fuck Dallas!
The Bruins shut out the Devils IN NJ and they DROP 3 places? WTF!!!
The Scott Cullen Methodology
Some highlights:
The problem is that players aren't robots, production isn't a simple random variable, and many of the factors that determine whether or not Team A will beat Team B don't show up in statistics. Now, his rating system probably produces decent predictive results in the long run, averaged out over all teams - but that's not what people want to read power rankings for. They want to read about their specific team. And in cases like this, there's ample scientific evidence that it's better to trust the gut instincts of an expert in the field over statistics.