LOGIN

The back end of my WR rankings for 2020 include some crushes that I hoped would have generated some buzz at the combine but didn’t, plus one athletic freak that caught everyone’s eye but I still have doubts about. 

In the pre-combine top 30 rookie wide receiver rankings I laid out the key factors I was looking for and why I ranked the players where I did. As a follow up I am now adjusting based on new information such as body mass index (BMI), athletic testing and overall post-combine buzz coming out of Indianapolis. 

There was a lot of movement within the WR rankings because so many players are very close and small details can cause big ripples. I did penalize the players who did not run at the combine because I think in a class so tight, that will matter on draft day, impacting projected draft round.  

A Word About BMI

Numberfire ran a nice study in 2015 and their conclusion was “If we’re talking absolute, elite production, your best bet is more than likely a tall wide receiver, and a heavy one, too.” The correlation was fairly weak, but in general bigger WRs had more success. The study found that the average BMI for WRs that scored 10+ touchdowns was 27.09 and the average BMI declined in groups with less touchdowns. While that was from 2015, this past season saw 10 of the top 12 WR finishers in points per game had a BMI of >26.5 and 7 of them had a BMI >27.

Only DJ Chark (24.1) came in under 26.  I don’t think it’s linear, as in a 28 BMI is better than a 26.5, but I do think a threshold is probably needed. Most WRs at the combine hit at least 26 because that’s just the typical pool of NFL players. This year is odd because the top 2 consensus WRs did not register a 26, but draft capital cures a lot of ills. The lesser known players that didn’t get to 26 got dinged for me because their draft slot was already tenuous. 

Please, blog, may I have some more?

In the pre-combine WR rankings I laid out the key factors I was looking for and why I ranked the players where I did. As a follow up I am now adjusting based on new information such as body mass index (BMI), speed and overall post-combine buzz coming out if Indianapolis.

There was a lot of movement within the WR rankings because so many players are very close and small details can cause big ripples. I did penalize the players who did not run at the combine because I think in a class so tight, that will matter on draft day, impacting projected draft round.

Please, blog, may I have some more?

Welcome to the back end of my top 30 rookie WRs. Because you are reading this, I already have mad respect for you as I know only the deepest degenerates want to know who the incoming WR30 is. As stated in my initial post, I used receptions per game in college, along with breakout age and projected draft capital to rank this class. 

Most of these guys have a small chance of getting drafted high enough to be projected as a fantasy star, but they all have something interesting to keep an eye on! For those that didn’t read the WRs 1-15 article, I explained some of the methodology below. Otherwise, skip to the list!

Please, blog, may I have some more?

With so many fantasy relevant wide receivers heading into the NFL draft, I had no choice but to list 30 incoming rookies that could be important at the next level and for our fantasy teams. I have previously discovered that receptions per game in college makes for a nice filter when identifying fantasy WR2s or better in the NFL. That, along with breakout age and projected draft capital, were the three-pronged criteria I used to rank this class. 

This article will feature the front of the class, WRs 1-15 by my ranking. Even the consensus studs have some warts (Jeudy/Lamb a low BMI, Reagor’s final season was meh, etc) but it is certainly very deep. There’s something for everyone, so take a peek and see who to flag as we proceed to the summer. 

Please, blog, may I have some more?

Welcome to my first attempt at formal rookie rankings for the world to see! I have used a mix of metrics that seem to matter based on my research, mock draft projections and a sprinkling of film analysis (done by people better at it than me) to arrive at this list.  

I explain why I chose the stats I did in the linked article above. While career yards and dominator rating are solidified, we don’t have verified numbers on some metrics.  To rank these RBs pre-combine I had to make some assumptions on the 2 values below. 

Height-adjusted speed score (HaSS)

This is a metric that takes into account height, weight and forty time into a single number that can be compared across players. I landed on 92.6 as a cutoff but think of that as a general threshold. I don’t think 92.5 dooms a player who looks good elsewhere.

While official measurements will be taken at the combine I calculated whether I think each player will make that 92.6 cutoff based on listed ht/wt and a forty time of 4.59. The letter “P” means that player will probably hit the threshold and “M” stands for maybe. Since it is a subjective estimation at this point, I have put an asterisk by that metric.

Please, blog, may I have some more?

A few weeks ago, I sat down with the great Peter Howard’s (@pahowdy) college market share database and created a set of filters for college production that had a better hit rate than selecting just 1st round NFL WRs. This time I intend to do the same but with running backs. I have seen a lot of chatter on the Twitter site about characteristics shared by fantasy RB1s. For instance I saw that most of them run under a 4.6 forty. However, looking at just the successful players doesn’t make that a helpful nugget. You see, if ALL NFL RBs mostly run under a 4.6, then the fact that the best ones do still doesn’t help us when selecting from a giant pool of players.

Please, blog, may I have some more?

It is hard enough to pick the right fantasy WRs in a given season, even with years of NFL production under their belt. It is much more challenging to select a rookie to bolster your dynasty roster. Even with all the fantastic resources via Twitter, ranging from film junkies to data nerds, picking the next stud WR feels like a shot in the dark. There are some things we do know about college prospects that can guide us through these muddy waters:

Please, blog, may I have some more?

Welcome to Stat-o-Matic where we look at some advanced stats around the NFL. As a disclaimer, I am using this space to play around with some numbers and present some interesting findings. But, by no means is this validated or predictive data. I hope that it will lead to meaningful discoveries or it could inspire you to go down your own rabbit hole. We’re going to explore together, crunch some numbers and see what pops out.

Please, blog, may I have some more?

So you’ve made it to the penultimate checkpoint before glory. Set up camp, rest your joints and have a good night’s sleep. Things only get more difficult from here. The rations are all used up, we’re all running on pocket lint and snow, and no one feels bad for your FLEX options. It’s the playoffs, kill or be killed, there is no tomorrow, survive and advance and all that.

Please, blog, may I have some more?

Welcome to Stat-o-Matic where we will look at some advanced stats around the NFL. As a disclaimer, I am using this space to play around with some numbers and present some interesting findings. But, by no means is this validated or predictive data. I hope that it will lead to meaningful discoveries or it could inspire you to go down your own rabbit hole. We’re going to explore together, crunch some numbers and see what pops out. Stats courtesy of PlayerProfiler.com.

Please, blog, may I have some more?

Congratulations everyone! You have passed the first grueling test. After thirteen weeks of non-stop ascent, we’ve reached a clearing where we can all exhale and stretch those weary bones. Grab a mug of tea and admire just how far we’ve come. We used to squabble over whether Chris Godwin and Mike Evans could both be top 10 WRs. Some of us thought it was wise to draft Antonio Brown. Some of us thought Josh Gordon was a league winner.

Please, blog, may I have some more?