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  • 17
    • in Gold Mining · Projections · R · Weekly
    • — 23 Sep, 2015

    Running Back and Wide Receiver Gold Mining – Week 3

    The graphs below summarize the projections from a variety of sources. This week’s summary includes projections from: CBS: CBS Average, Yahoo Sports, NFL, FOX Sports, NumberFire, FantasySharks, ESPN and FantasyFootballNerd.[…]

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    24
    • in Gold Mining · Projections · R · Weekly
    • — 17 Sep, 2015

    Running Back and Wide Receiver Gold Mining – Week 2

    The graphs below summarize the projections from a variety of sources. This week’s summary includes projections from: CBS: CBS Average, Yahoo Sports, NFL, NumberFire, FantasySharks, ESPN, FFToday and FantasyFootballNerd. The[…]

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  • 16
    • in Gold Mining · Projections · R · Weekly
    • — 10 Sep, 2015

    Running Back and Wide Receiver Gold Mining – Week 1

    The graphs below summarize the projections from a variety of sources. This week’s summary includes projections from: CBS: CBS Average, Yahoo Sports, NFL, NumberFire, FantasySharks and FantasyFootballNerd.   For more details[…]

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    136
    • in Auction Drafts · Draft Optimizer · R · Tools
    • — 14 Aug, 2015

    2015 Fantasy Football Auction Draft Optimizer

    We are releasing our 2015 update to the highly requested Auction Draft Optimizer.  The app allows you to calculate custom projections for your league based on your league settings.  The[…]

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  • 20
    • in Auction Drafts · R
    • — 11 Aug, 2015

    How Do Auction Values Differ by the Number of Teams in Your League? A Multilevel Model

    Many sites publish fantasy football players’ average auction values (AAV) for use in auction drafts.  But these auction values often assume you play in a 10-team league.  If you have a different number[…]

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    25
    • in Theory
    • — 5 Aug, 2015

    Lessons Learned From Previous 1st Round Picks

    The thrill of the Fantasy Football season commences when the draft begins and you get ready to make your 1st round selection. For a brief moment when you’re on the[…]

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  • 9
    • in Projections · R · Theory
    • — 29 Jul, 2015

    Player Value Gap Assessment

    Looking at fantasy football projections we have a group of experts providing their views on how a player will do during the football season. We have collected projections from several[…]

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    58
    • in Projections · R · Tools
    • — 13 Jul, 2015

    Examining the Accuracy of Fantasy Football Projections with an Interactive Scatterplot in R

    In prior posts, we presented the accuracy of different analysts in projecting football players’ performance, finding that the average was more accurate than any individual analyst.  In this post, we present[…]

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  • 412
    • in Projections · R · Tools
    • — 28 May, 2015

    2015 Fantasy Football Projections using OpenCPU

    We are releasing our 2015 fantasy football projections in an OpenCPU app.  The app allows you to calculate custom rankings/projections for your league based on your league settings.  The projections[…]

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    30
    • in R · Theory · Tools
    • — 17 Mar, 2015

    How Fantasy Football is Like Stock Picking (Including a Shiny App)

    In this post, I compare fantasy football to stock picking.  There are important lessons we can learn from financial forecasting that can be applied to forecasting football players’ performance. Fantasy Football[…]

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