Continuing his “Tale of the Tape” series, @force_fantasy uses his WR1 model to determine who has better odds of NFL success between Ladd McConkey and Keon Coleman.
Tale of the Tape: Ladd McConkey vs Keon Coleman Read More »
@force_fantasy uses his WR1 model to determine who has better odds of NFL success between Troy Franklin and Adonai Mitchell.
Tale of the Tape: Troy Franklin vs Adonai Mitchell Read More »
In this edition of “Tale of the Tape”, @force_fantasy breaks down some advanced metrics to help you decide between Ja’Lynn Polk and Xavier Legette in your upcoming rookie drafts.
Tale of the Tape: Ja’Lynn Polk vs Xavier Legette Read More »
Welcome back, DFF family! On the docket today, I wanted to discuss Dynasty strategy as it pertains to buy-in size. Dynasty leagues have differing annual dues, so strategy should be tailored to the specific buy-in cost of each league. “High stakes” is a relative term. I consider this to be annual dues of $100 or more. For others, this may be $50, $250, $500…you get the point. However you categorize your small buy-in vs. big money leagues is fine. The purpose of this article is simply to get you thinking about how strategy should change depending on the buy-in requirement each season. Many fantasy owners take the same approach for all the leagues they play in, which is not necessarily wrong, but I choose to go about things differently. Let me explain what I mean.
Big Money Leagues vs. Small Buy-ins Read More »
For those new to the WR1 rating, this is a highly accurate proprietary forecasting formula I developed to provide a data-driven forecast of future dynasty value for incoming rookie wide receivers. The WR1 model scores rookies on nine predictive metrics and then combines those individual metric scores into a single WR1 rating. The goal is to provide a single easy-to-use score for those who don’t want to spend all the time dissecting different metrics.
The WR1 Wide Receiver Prospect Model Ratings Read More »
When analyzing wide receiver prospects, analysts such as myself, like to check boxes when a player eclipses a designated threshold for a certain metric. No prospect in this class checked more of these boxes across all metrics than Josh Downs. Downs was an uber-producer during his time at Chapel Hill. When Sam Howell or Drake Maye needed a big play, Downs was the unquestioned target. In this article, I will take you through the numbers and display why you should be targeting Josh Downs in your dynasty rookie drafts.
’23 Rookie WR Analytics Spotlight Series: Josh Downs is That Dude Read More »
At this point in the off-season, I prefer to write articles on prospects that aren’t in that elite tier so that DFF members have a value-added when reading. After all most have likely heard quite enough about the top prospects in the class to make their decision one way or the other. For that reason, I haven’t done a deep profile on Jaxon Smith-Njigba. In my mind, he is a no-brainer prospect.
’23 Rookie WR Analytics Spotlight Series: Don’t Overthink JSN Read More »
For those new to the WR1 rating, this is a proprietary formula I developed to provide a data-driven forecast of future dynasty value for incoming rookie wide receivers. The WR1 model scores rookies on nine predictive metrics and then combines those individual metric scores into a single WR1 rating. The goal is to provide a single easy-to-use score for those who don’t want to spend all the time dissecting different metrics.
The WR1 Rating Dynasty Rookie Wide Receiver Countdown (Post Draft Update): Part 2 Read More »
For those new to the WR1 rating, this is a proprietary formula I developed to provide a data-driven forecast of future dynasty value for incoming rookie wide receivers. The WR1 model scores rookies on nine predictive metrics and then combines those individual metric scores into a total WR1 rating score. The goal is to provide a single easy-to-use score for those who don’t want to spend all the time dissecting different metrics.
The WR1 Rating Dynasty Rookie Countdown: Part 2 Read More »
For those new to the WR1 rating, this is a proprietary formula I developed to provide a data-driven forecast of future dynasty value for incoming rookie wide receivers. The WR1 model scores rookies on nine predictive metrics and then combines those individual metric scores into a single WR1 rating. The goal is to provide a single easy-to-use score for those who don’t want to spend all the time dissecting different metrics. If data-driven rankings are not for you, I suggest my colleague @DocFFFN’s wide receiver review from a film perspective.
The Pre-Draft WR1: Prospect Model Ratings Read More »
