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WRs have become my obsession. I wake up in the middle of the night to find myself in a cold sweat, shivering and screaming, “Market share! Market share!” The NFL Draft can’t come soon enough. Most recently I’ve written a piece on Stedman Bailey’s NFL prospects, in addition to two pieces here and here on T.Y. Hilton and a piece on Stephen Hill. Further, RotoViz’s…...

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Just a quick post here with a correlation plot that I ran last night and wanted to share.  The plot below shows a number of per game measures for running backs both in what you might call Year 1 and Year 2 (or Year N and Year N+1) and how they correlate year to year.  You can see that the highest year to year correlations…...

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In the short amount of time that the CFB QB stat filter app has been up I’ve done a little bit of mining of the data to explore for predictive relationships.  To offer some context, I should say that I think predicting QB success is an extremely difficult endeavor and I don’t know that things are going to get a lot better any time soon. …...

One of the things that we can do with the college football database is to use it to visualize relationships between various college stats and some pro stats.  I did a little bit of that this morning by downloading some CSV files from the CFB quarterback app and then running correlation matrices with pro measures.  I did enough of it that I can report back…...

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In an effort to continue to make RotoViz the best value in fantasy sports content, we’re rolling out a new app today that will let you query college quarterback stats by various situational breakdowns.  Want to know who was the best on 3rd down?  You can look that up.  Want to know who was the best when playing the toughest defenses?  You can look that…...

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