Tag Archives: model building

We Got A Twofer

Phil Birnbaum at Sabremetric Research has a new post up about the FAQ over at Wages of Wins.  I don’t have the time to talk about it in detail because a guy’s got to sleep sometime, but I wanted to … Continue reading

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The Dangers of Missing Variables

This post falls under the heading of stats learning time, but it’ll also be applied to basketball.  Hooray!  A warning: this is a long one, so you might want to grab some food.

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Predictivity Part 2

Brian Burke has a new post at Advanced NFL Stats taking another look at what variables are predictive of winning.  The idea is that some thing are very predictive of having won games (like scoring a lot), but may not … Continue reading

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What Leads to Winning? Model Building Part 2

This post follows directly from my last; you should go read that now.  In terms of improving our NFL winning model, since I already mentioned it, let’s start with opponent’s penalty rate.  If I add that to the model I … Continue reading

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Is Efficiency All You Need? Model Building Part 1

Advanced NFL Stats has both driven and pre-dated my interests in sports analysis.  I thought that the use of regression in basketball was great after reading the Wages of Wins, and then found that Brian Burke at ANFLS (that’s what … Continue reading

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