Wednesday, November 10, 2021

FBS Wide Receiver Efficiency Based on Return on Investment

 Back in Business

After a long "summer" off, we're back to give you a different kind of angle on college football and the NFL Draft.   There is no better way to get back on track than with an update on our exclusive "Return on Investment" (ROI)  efficiency measure for wide receivers.  

Briefly, ROI is a simple efficiency metric that screens out receiver volume to find players who do more with less and may be under the radar because they lack eye popping statistics.  ROI provides efficiency in context that allowed us to identify non-household name college football players like Kenny Golladay (NYG), Tim Patrick (DEN), Cedrick Wilson (DAL), Darnell Mooney (CHI) and many others who are now contributors in the NFL despite not being widely broadcast by the main sports outlets who get stuck on certain candidates.  Using ROI could help teams get solid players at great value.

Here are the Top 10 FBS receivers as of 11/10/21 in terms of ROI:













  • BMI= Body Mass Index using height (inches) and weight (pounds). 
  • ROI = Return on Investment metric which represents receivers additional output vs. the average of the Top 150 receivers to the season to date in terms of yards. 
  • ROI Z-Score = Number of standard deviations from the mean (anything greater than 1 is above average). 
  • Dominator Rating = Classic WR evaluation metric that is based on volume and does not necessarily provide context as to what the player does with their opportunities.
  • Dominator Rating Z-Score= Yellow highlight indicates below average Z-Score.  This player would fly under the radar as their Dominator Rating was not high enough to get picked up.  ROI indicates these players are highly efficient and the low DOM indicates they are likely being under utilized. 
Qualifying number of receptions for the table above is 31 at this point in the season. 

Will be back next week with an update and FCS ROI numbers as well. 

*******************************************************************
If this was interesting check out my last article taking a look at this look at NFL QBs using ESPN NextGen stats.

Friday, May 14, 2021

A Look at ESPN's NextGen Quarterback Expected Completion Percentage Stats for the 2020 NFL Season

 Plus or Minus?

Looking at the 2020 ESPN NextGen stats for quarterbacks and found it very interesting. 

Of the various stats, here are the ones relevant to this piece:
  • Completion Probability
The probability of a pass completion, based on numerous factors such as receiver separation from the nearest defender, where the receiver is on the field, the separation the passer had at time of throw from the nearest pass rusher, and more (they don't tell us what the "and more" is since they want to keep this proprietary).
  • Expected Completion Percentage (xCOMP)
 Using a passer’s Completion Probability on every play, determine what a passer’s completion percentage is expected to be.
  • Completion Percentage Above Expectation (+/-) 
 A passer’s actual completion percentage compared to their Expected Completion Percentage.

When we take a look at the difference between the COMP%Z minus xCOMP%Z  give us the Contribution for each QB.

So what does this mean?  Let's take a look at the quarterbacks in each division based on Contribution:


Z- Score Key
Blue = Greater than 2 Standard Deviations above the Mean. 
Yellow =  Within 1 Standard Deviation above the Mean.
Green = Greater than 1 and less than 2 Standard Deviations above the Mean.
Orange = Greater than 1 Standard Deviation below the Mean.
RedGreater than 1 and less than 2 Standard Deviations below the Mean.
Black = Greater than 2 Standard Deviations below the Mean. 
 


Let's take Josh Allen as an example.  
  • His expected completion % (xCOMP%) was 64.6% which was just below average (evidenced by his xComp%Z score).
  • But compared to his actual performance (COMP%), his Completion Performance Above Expectation was 4.6% putting him at the top of the AFC East.
  • His Contribution (COMP%Z - XCOMP%Z) is above average and one of the top in the league.

Comments:
  • AFC East
    • Cam Newton came into NE with no off-season, battled COVID and as a result he couldn't capitalize on the superb opportunities Belichick and company provided him resulting in a division worst -1.07 Contribution rating.  We'll see if he gets it on track in 2021 with a year under his belt as a Patriot.
    • Despite having the worst xCOMP% in the division, Joe Flacco's Contribution was a bit better than expected when he backed up an injured Sam Darnold who fared worse than Joe.
  • AFC North 
    • Joe Burrow was something special turning nothing into something, taking a worse than 1 Standard Deviation xCOMP Z and sneaking it just above average to have the highest Contribution in the division.
    • Lamar Jackson did not exceed his expectations and has a negative Contribution which is interesting as BAL is likely working on a contract extension.
  • AFC South
    • There was no question Deshaun Watson was the best QB in the division but Gardner Minshew and Ryan Tannehill both overcame whatever obstacles faced them to have above average Contribution performance in 2020. 
    • Mike Glennon replaced  Minshew in JAX but the former had positive Contribution to the passing game where the latter did not. 
  • AFC West
    • Looking at Drew Lock's performance last year in terms of Contribution, the fact that DEN passed on drafting a QB in 2021 may come back to haunt them.
    • Much maligned Derek Carr continues to perform with division leading Contribution beating out Super Bowl QB Pat Mahomes
  • NFC East 
    • This division saw the most QBs taking significant snaps.  But seeing how only two had positive Contribution (Dak Prescott in an injury shortened season and Jalen Hurts), it's no surprise teams could not settle on a signal caller.
    • Dwayne Haskins had the third highest xCOMP% but ended up with the absolute worst Contribution of -2.24 for the entire league.  That is a talent unto itself!
  • NFC North
    • As much as everyone loves to dump on Kurt Cousins, he made the most of his situation with greater positive Contribution to the Vikings passing game than former Packers QB Aaron Rodgers.
    • Matthew Stafford has a new opportunity in Los Angeles but his performance last year was not quite what you would want with negative Contribution.
  • NFC South
    • My man Teddy Bridgewater can't get a break.  He is second in the NFC South to Tom Brady by percentage points in terms of Contribution (and leads the division in +/-) and goes on to get run out of town.  For the second time in his career.  By the same guy.  The horror.
    • Not sure you can say Drew Brees was "last" in the division when he has second highest COMP% in the league but it is what it is when compared to Sean Payton's playcalling.  His gold jacket awaits. 
  • NFC West
    • Jimmy Garoppolo had the table set for him with an xCOMP% of 70.7% on his passes - everything must have been perfect in terms of success factors.  But, he couldn't convert on enough of these lay ups and his Contribution of -1.59 is pretty much the reason Trey Lance was selected #3 overall. 
      • Looking at Garappolo's backup, Nick Mullens, he didn't fare very much better with Contribution of -1.16.
    • Despite his comments about his Offensive Line, Russell Wilson was top of his division in terms of +/- and Contribution.  Now that SEA has picked up Center Shane Waldron and Guard Gabe Jackson in free agency, plus potential sleeper OL stone Forsythe in the draft, the rest of the NFC West may have a real problem. 
ESPN NextGen has a lot of interesting features I'm sure many of you would love to explore.  

*****************************************************************************

Don't Stop Now, You Quitter!  Other Posts To Read

Some of Twitter's most opinionated evaluators come together for the annual aggregated list of prospects for the 2021 NFL draft.  Check it out and see if you agree with our composite list!

Is Your Team Screwed in the 2021 NFL Draft? - The annual Supply and Demand analysis for the draft looks at which teams have the draft capital to meet their  positional "needs" and which teams will be scrambling to find talent.  This series is updated at the end of each draft day so don't forget to check back before Day 2 and Day 3!

College Football Wide Receiver Return on Investment for NFL Draft 2021 - Taking our annual look at how this year's crop of college receivers compare when  Dominator Rating is compared to my own Return on Investment metric.  

Friday, April 30, 2021

Fourth Annual Who's Screwed NFL Supply and Demand Analysis for 2021 - End of Day 2

 Heading Into Day 3...Who's Screwed?

With Day 2 in the books there was a lot of movement in Supply of player prospects and the Demand for them from talent hungry NFL teams.  Also a big factor was the priority of need for each position is different for each team.  So how does Day 3 look for your favorite team?

For those of you new to this exercise, if you find yourself confused go back to the Pre-Draft article here which provides a solid overview of the concepts discussed here.


Supply and Demand Table











Shortage/Surplus
  • Well...bye... - The supply of QB and TE based on the top 160 NFL.com prospects had run out despite there still being demand for those positions.
  • Coming Up Short- Positions with shortages are CB, LB and S.
  • Extra, Extra - The positions with surplus availability are RB, OL and WR. 
  • Stuck in the Middle - DL has enough for everyone. 
Avg Need (Priority)
  • Big Uglies - When it comes to priority, OL has the highest average scoring 4.00 (out of 5)
  • No Respect - Many fans don't value the RB position and now it seems teams don't given their Avg Need is only 1.50 (out of 5). Pobrecitos!
  • Not So Safe - Despite being a shortage position, S is a low priority need at 2.18 avg.
Criticality
  • No Sweat - If you need a RB, S or WR, no problem.  At this point there are either so many that you will get one in the Top 160 or the need for the position is not really a priority.
  • Moving Fast -  If you need an other position, you need to get it fast since supplies and running low and competition is high starting with CBs who are the positions with the lowest criticality making them the most urgent position.
So...who's screwed?  Glad you asked.


The table above is descending from worst position to best.




  • Over - At the bottom of the table above are TB and MIN, both of whom have no Critical Positions left to draft...for now.  Of course, based on how the draft picks fall there could be a shift but for now, they can relax as they have completed their Critical Positions shopping. 
  • And Out - BUF and LVR still have Critical Positions open but, barring a trade up, they won't have any remaining Top 160 picks left and won't be filling those needs from the first 160 draftees, which is the whole point of this exercise.  
    • Vegas only has 1 low priority position unfilled so that's not an issue.
    • BUF has  it's second and third highest priority position unfilled so their War Room team had better be good at this drafting stuff. 
  • Safe: Teams with Critical Coverage of at least 0% have enough draft capital to pick up all their Critical Positions with the draft capital they have remaining through pick 160.
  • Screwed:  These teams have more Critical Positions needed then draft capital at pick 160 or better:
    • One Pick Short 
      • ARI
      • CHI
      • DEN
      • GB
      • NE
      • NYG
      • SF
      • WAS
    • Two Picks Short
      • HOU
      • IND
      • KC
    • Three Picks Short
      • SEA

Here is the same list sorted Alphabetically:




Of course, as the Critical Positions can shift based on the way the picks fall. 

An entire wrap up of the draft looking at how teams did or did not fill their Critical Positions will be posted after the draft. 

Enjoy Day 3!


**********************************************************************
Some of Twitter's most opinionated evaluators come together for the annual aggregated list of prospects for the 2021 NFL draft.  Check it out and see if you agree with our composite list!

NFL Draft 2021 - Who's Screwed Day 2 Update

 Supply and Demand Updated Numbers

OK, it was an exciting Day 1 of the 2021 NFL Draft so let's jump right into how the opening round of the draft impacted Player Supply and Team Demand when it comes to priority position needs. 

If it's your first time here and you find yourself confused go back to the Pre-Draft article here which provides a solid overview of the concepts discussed here.



















  • No major changes in Shortage/Surplus Z over Day 1.
  • Avg Priority (based on position needs for that team) saw QB improve dramatically as all the teams with high priority need at the QB position got those needs filled.   
  • The biggest Criticality move was in QB, as expected with the top 5 candidates being selected in Round 1.
  • There are still a ton of RBs available with no real demand.  Will be interesting to see how that will play out.    

Here is the updated table breaking out Critical items (excess picks to meet Critical Positions needed) and Criticality measures which tries to present the urgent need for a position based on weighted priority along with supply and demand.  












Looking Good

  1. MIA - While they have a need at the high Criticality OL position,  their Critical Coverage is 250% and they have the 4th pick of Round 2.  They remain in the best position to cover their needs.
  2. HOU - Yes, Houston.  Something finally goes right for the team with no first pick until 67 but they have 4 picks remaining through 160 with solid Coverage of 100%.
  3. MIN - Positive Cumulative Criticality as their two lowest priority critical positions are QB and LB; they also enjoy 300% Critical Coverage with 8 of the remaining Top 160 picks.
  4. NYJ - Starting out tied for worst position with JAX, the Jets cleared out two of their top 3 Critical Positions and dropped down closer to the middle of the pack even after trading way a pair of 3rd rounders in a trade up package to get.

Screwed (for now...)

  1. LAR - Their top 3 Priorities have the worst Criticality and their ADP remaining is 20th out of 32 teams. With no picks in the first round and quality players flying off the board, the Rams could only sit around in their beach house and watch their situation worsen as they begin Day 2 with the lowest Criticality.
  2. SEA - Not only is their cumulative Criticality is the 2nd lowest after Day 1, but they currently have negative Coverage meaning they have three needs of high Criticality with just two top 160 picks.  
  3. PIT - Their first rounder was spent on the position with the highest Criticality (RB) so they missed out on a more potentially scarce position. Will a starting caliber OL be there when they pick at 55?  They were second overall at the start of Day 1 but end the day third from the bottom.
  4. PHI - They went Best Player Available in a position that had high Criticality (that is, supply was greater than demand and priority was not incredibly urgent) and now they need to find solid CB and OL, the most impacted positions at this point of the draft. with selections 37 and 70. Good luck. 
  5. DAL - Blocked from the two premier CB, Jerruh has to deal with picking up a second tier (at best) CB and also an OL. 
  6. IND - Three Critical Positions, two picks remaining in the top 160 with negative Coverage. 

Thoughts for Day 2

  • We'll see how many CB and OL fly off the board early in Round 2 as those positions have the lowest Criticality (largest shortfalls in supply vs demand and large number of teams with these priority needs.
  • The top players available based on NFL.com grades in the remaining top 160
    • Jeremiah Owusu-Korahmoah - 6.82 grade which had him as the #7 player overall.  A steal for a team that can utilize him.
    • Christian Barmore - 6.70 grade put him at #25.
    • Azeez Ojulari - 6.39 grade has him at #28.
    • Tyson Campbell - 6.37 grade puts him at #31.

There will be a lot more change in the measurements at the end of day 2 since there will be many more draft picks to shake things up.  Make sure to check out the update tomorrow before watching Day 3!

************************************************************************


Wednesday, April 28, 2021

The Fifth Annual All-DraftTwitter Top 100 Big Board Aggregation Project

 Let's Do it Again

If you follow this blog you know interaction and collaboration are core values.  For the last five years that attitude has been celebrated via a survey of passionate evaluators just like you who contribute their top 100 NFL Draft big boards to be aggregated into one board that gives an overall sentiment of how we, the People, feel about the top NFL prospects.  


Heroes


Here are the friends and colleagues who make this all possible:
  • Bill Carroll - Twitter Handle: @elevenbravo138
  • Matt - Twitter Handle:  @ZazzyJets
  • Jacob Infante - Twitter Handle:  @jacobinfante24
  • Gab - Twitter Handle: @GabLikesFball
  • Ryan Rosko - Twitter Handle: @SkoSports
  • TheCutFFL - Twitter Handle:  @ theCutFFL
  • Jimmy Williams - Twitter Handle: @draftguyjimmy
  • Michael Thomas Marquez Callaway- Twitter Handle: @zonereads
  • etienne rb1. - Twitter Handle: @thedraftgenius
  • Seth Murphy - Twitter Handle: @SethMurphyBBD
  • Connor Lervold- Twitter Handle: @LervoldNFLDraft
  • Jonas Stark - Twitter Handle: @JonasStaerk
  • Halil's Real Footballtalk - Twitter Handle: @halilsfbtalk
  • Alex Gilstrap - Twitter Handle: @AlexGilstrap
  • Jason Willis - Twitter Handle: @JWillisScouting
  • Jake White - Twitter Handle: @TrueWhoDat12
  • Jake Sirkus - Twitter Handle: @JakeSirkus
  • Brandon SoederPenner- Twitter Handle: @lamachine17
  • Dylan Tereman - Twitter Handle: @DTereman

I would encourage the reader to follow each of the above.  A special shout-out to Bill Carroll who has participated in each Top 100 list over the last five years. He is the Godfather of DraftTwitter and adds to the community every day.

Keep an eye out for future blogs reviewing how aggressive each contributor was in their selections (compared to the group as a whole) and for 3 year reviews of each Top 100 list to actual performance (2018 is past due and in the works for post Draft delivery).

Let's get to it...

Top 100 Players for the NFL 2021 Draft

  


Avg Rank: Average score for each player in the aggregation based on #1 overall assigned 100 pts, #2 gets 99 pts and so on, down to #100 getting 1 pt.

Off Prior Player:  The difference in Avg Rank of a player and the one selected directly before him.


Top 100 by Tier

I broke up each position into quartiles based on scores and aggregated to give a tiered presentation.
  • Because the tiers are based on position, the overall rank numbers (first column) are not sequential.
  • Centers and Guards are aggregated into "IOL" for this exercise.



Comments:
  • DL
    • Barmore is the only Tier I player (Ranked 13 spots above the next DL)
    • Only 2 of 8 in our top 100 are in the first 2 tiers.
  • IOL 
    • Vera-Tucker is the only Tier I player  (Ranked 14 spots ahead of the next IOL)
    • There are no Tier III players
  • LB
    • There are no Tier III players
    • Tier I & II players outnumber Tier IV players 7 to 4.
  • QB
    • No Tier II QB
    • Mac Jones is 29 places after Trey Lance (#12)
    • Kyle Trask is #93 (52 places after Jones)
  • RB
    • No Tier III RB
  • SAF
    • Moehrig is the only Tier I player
      • The next player is 25 places after him
    • There are more Tier IV Safeties (4) than Tiers I, II and III combined. 
  • WR
    • DraftTwitter gives you even odds on receivers as as it is 50/50 between Tiers I & II vs Tiers III and IV.



Position Strength

 Based on the opinions shared by the DraftTwitter contributors, here are the average grades for each position. 



Thanks again to the contributors this year and keep an eye out for my review of the 2018 draft to see how the Draft Twitter evaluators compared to the NFL GMs in terms of productivity of the top 100 picks for each.

********************************************************************************
Please check out these other blog posts:

  • Is Your Team Screwed in the 2021 NFL Draft? - The annual Supply and Demand analysis for the draft looks at which teams have the draft capital to meet their  positional "needs" and which teams will be scrambling to find talent.  This series is updated at the end of each draft day so don't forget to check back before Day 2 and Day 3!
  • Tanking for Trevor? -  The worst team gets the top prize in the NFL draft but is the draft position of the quarterback really important when it comes to the ultimate NFL goal?
  • College Football Wide Receiver Return on Investment for NFL Draft 2021 - Taking our annual look at how this year's crop of college receivers compare when  Dominator Rating is compared to my own Return on Investment metric.  

Review of Explosiveness for NFL Draft 2021 Prospects

BOOM!

One of my favorite books from my Sports Management Worldwide (SMWW) NFL GM and Scouting course was "Take Your Eye off the Ball 2.0" by Pat Kirwan.  For those of you who might not know Pat, his resume is impressive. Prior to embarking on a successful career as a football journalist, he worked in coaching and front office management at all levels, working his way up to Director of Player Administration for the NY Jets.  His book is a vital teaching tool for anyone who scouts for a hobby or is looking for a career in this vocation.

Explosiveness

In his book, Pat gives the formula for desirable player explosiveness based on Combine numbers:

Bench Press Reps + Vertical Jump (Inches) +Broad Jump (Feet) > 70

This formula was designed to identify explosiveness for players in the defensive front seven and offensive line.  His track record in using this method has been pretty successful in his experience.  For the purposed of monitoring this metric, I'll call it the Kirwan Explosiveness Number and refer to it as "KEN". 

Who rose to the occasion during Pro Days this year?

Offensive Line/Defensive Front Seven



  • BMI Pos Z represents the Z score for the position group for the qualifiers listed here only.  Small sample so take it for what it's worth.
  • These are all the players who exceeded the KEN threshold of 70 this draft cycle; if you don't see a player's name he likely fell short.

  • Green highlights note exceptional numbers
    • Milton Williams of LA Tech won the Pro Day competition with a total KEN of 83.1 fueled by stand out performances in Vertical and Broad jumps for the DL group.
    • Kwity Paye of Michigan had an impressive showing on the bench with 36 reps while Penn State's Jayson Oweh and Joseph Ossai of Texas showed out in the jumping evaluations. 
    • Jamin Davis of Kentucky had the best broad jump of the top KEN Linebackers.

  • Yellow highlights reflect numbers that are out of pattern with the group on the downside.
    • Oweh and his teammate Shaka Toney join Williams as having lower than average BMI relative to their position groups (based on the KEN finishers here, only).
    • Williams, Ossai and Davis all performed below their peers in the bench while Sooner Creed Humphrey holds the bottom spot of all OL qualifiers.
      • I'm no scientist, but all four of the above also have below average BMI.
    • Stanford's Drew Dalman trailed his peer group in the broad jump having the lowest measure for that metric of all KEN qualifiers.

  • While Williams has the highest total KEN score, Paye has a 5.7 point lead over the #2 at his position (Williams' lead is only 1.3 points and there is one more competitor right next to him).  
  • The OL-T position is most consistent in terms of KEN with just a 3.8 point variance between the top and bottom.  
  • Big Boy shout out to Trojan Alijah Vera-Tucker who led his peer group with the largest BMI of all KEN qualifiers regardless of position.
If you are like me, you've found a couple of new, interesting names here for further consideration. 

Non-OL/Front Seven Players

Although Kirwan only considers this metric for the OL/Front Seven, we can figure out the weight of the bench component for qualifiers for the overall KEN metric for 2021 results, and strip it out to leave just the jumping components.  To ensure we get the best performers, I've settled on a Vertical plus Broad threshold of 47 for non-Front Seven players (which is around 10% higher than the raw number I calculated when stripping out bench).  

*This is just for illustrative purposes; I'm not equating this in any way to Kirwan's work.

Total = Vertical plus Broad jumps.
Bench Exp = Total plus Bench




































  • Although Total greater than 47 qualifies for the list, the highlighted metrics reflect players whose KEN exceeds 70.
It will be interesting to see how the qualifying players are drafted and perform. 

*******************************************************************************
If you like the post above, please check out some other recent articles:


We have the medicals on Devonta Smith and Tutu Atwell and know their actual heights and weights.  But does it matter in today's NFL?  We took a look at every receiver who measured at the NFL combine since 2000 to see how the big guys compared to the small guys.  Click the link above to see the results.

How have the top NFL QB Draft Prospects performed in terms of accuracy? Glad you asked!  Click the link above to check out the details on QB accuracy and average depth of target (ADOT).

Friday, April 23, 2021

Fourth Annual Who's Screwed 2021 NFL Draft Supply and Demand Analysis

NFL Draft is Just Days Away And Some Teams are Going to be Screwed

We are a week away from the NFL Player Draft and just as I have the last couple of years, let's take a look at which teams are in the best position to cover "need" positions and which teams are most likely to screwed when the talent runs out.

  1. Determining Need - Easy enough!  Looking at the NFL.com analysis of top five needs for each team gives us our first set of data.  The needs are rated from "5" for most critical to "1" for least critical position need. (Note:  BAL is listed with only 4 needs).
  2. Determining the Average Draft Position and  Average Grade of Each Position - Again sourcing NFL.com, we use their player grades to determine the Average Draft Position (ADP) and Average Grade for each position. Since we are looking at the top 5 needs for 32 teams, our prospects to fill the team needs are the 160 highest graded players according to NFL.com.
  3. Critical Positions - Even if a position group has a large percentage of highly rated players, if the demand outstrips the supply, your team might be out of luck.  So we note the number of players for each position group in the top 160 and compare to the number needed by the NFL teams to determine if there is a shortfall or a surplus at each position. 
  4. Draft Picks - The number of picks a team has in the first 160 selections in relation to the number of Critical Positions of high need is the crux of this exercise.  
This entire analysis discusses Draft "Need" positions based on NFL.com projections.  It's understood that the projected needs may have absolutely nothing to do with the areas each team decides to address based on their own internal priority.  But it's fun to see which teams draft more inline with these projected "Needs" and which one's do not.

Based on the info sourced above, let's take a look at the first table outlining Supply and Demand.

Supply and Demand


What does all that stuff mean?
  • Pos = Player Position
  • Supply = The number of players available at each position included in NFL.com Top 160.
  • Demand = The numbers needed at each position based on the NFL.com Needs for each team (rated 5 for most critical need down to 1 for least critical need of the Top 5 needs).
  • (Shortage)/ Surplus = Supply/Demand - 100% 
  • Z Scores = The number of standard deviations from the mean.
  • Avg Need = The aggregate Needs score for each position divided by the number of teams with that Position Need.  For example, 29 of 32 teams have a need at OL and their aggregate Need scores is 109 which represents an average Need score of 3.76, the highest of any position.
  • Criticality = Shortage/Surplus Z Score less the Avg Need Z Score give us a raw score to represent overall need at each position.  The higher the better.
  • ADP = The Average Draft Position for each player based on NFL.Com player grades.
  • NFL.Com Grade = The average grade for each player position per NFL.Com

Observations
  • Before the first pick is selected, we see Quarterbacks have the worst Criticality which means their 20% shortfall in Top 160 Supply to meet the Demand, coupled with their high Avg Need, this is the position to target first for teams in need of a signal caller. If you look at their NFL grade, QBs are the second highest rated position as a whole.  So, taking all this into account, we should see the trade ups we have been expecting from the media hype to pull top tier QBs off the Board before the end of the first round.
  • Running Backs live up to their "don't draft in the first round" billing.  With a pre-Draft 75% surplus and the lowest Average Need position of 1.75 (no team has a RB Position Need of 5; please see the table below) there is no rush for a rusher.

Deficit Position Table and Criticality

This table shows the Supply/Demand info based on the order of each team's 1st pick in the Draft and Criticality Rank.

By Criticality



Let's go through an example of what all this means reading left to right:
  • 1st Pick is simply the number of the first pick the team has in the draft.  JAX has the first pick, as we all know.  HOU is not scheduled to pick until 67.
  • Top 160 Picks represents the number of picks the team has in the Top 160  picks. JAX, NYJ and MIN each have 8 while SEA only has 2.
  • First 5 Avg Pick is just that, the average of the first five picks each team has to draft their top 5 Need Positions. 
  • Team - you can figure that out.
  • Criticality/Position/Position Need Urgency represents the data in the middle of the table in declining order: The numbers represent the Criticality calculated (in the first table above) for each player Position, below.  The number below the position in the Team row represents the Position Need Urgency based on NFL.com as discussed above (with 5 being most urgent need, and 1 being least). 
    • The Yellow highlighted columns represent Positions with negative Criticality - Critical Positions that you will not want your team to have high Position Need Urgency numbers.  THIS WILL CHANGE WITH EACH DRAFT PICK!  So at the end of each day of the Draft, the Supply and Demand numbers will change and so Criticality will be recalculated based on the needs teams filled.  
  • Critical Positions represent the number of Positions with Negative Criticality for the respective team at the beginning of each Draft day. 
  • Critical Coverage represents the excess coverage of Top 160 Picks to Critical Positions.  MIA has just two Critical Positions before the Draft (OL and LB) but they have 8 Top 160 Picks to get them (250%).  SEA has three Critical Positions but just 2 Top 160 Picks so they are in the worst position at -33%.
  • Criticality Cumulative factors in the Criticality and Position Urgency of all positions to present a measure of how difficult it should be for a team to gain the best projected talent to fill their Top 5 Needs - the higher the number, the better.  The Z-Score for the Criticality Cumulative follows.

Observations

  • JAX and NYJ, who choose 1 and 2 in this year's Draft are tied for worst in terms of Criticality.  They each have their top 3 needs in the worst Criticality positions:  Their greatest Position Need (QB) is Grade 5 with the worst Criticality, their Grade 4 Need (CB) has the next worse and their third Need (OL), the third worst.  They only get a break because DL is Grade 2 and Positive. Their final need, TE is also negative but the talent pool is strong (based on NFL.com grades).
    • The good news is they both have 100% Critical Coverage (at least pre-Draft) so they should be able to get all their needs covered. 
  • MIA would have to pull a LAC Day 3 move (see last year's Who's Screwed Recap for the 2020 NFL Draft) to somehow mess this up.  They have a Criticality Z Score that is greater than 2 standard deviations from the mean with their top 2 Needs in Positive Criticality positions (WR and DL) with their Grade 2 in the low stress RB position.  Their Critical Positions are only for their Grade 3 and Grade 1 needs.
  • Teams with Critical Coverage of 0% or negative need to really hit on their first pick and hope the Supply and Demand numbers shift in their favor so their positions of need shift out of negative Criticality.
    • SF (Pick 3 overall) has a Grade 5 need for QB and it's pretty clear they are going that route after their blockbuster trade.
    • CHI does not pick until number 20 and they also have a Grade 5 need for QB.  Given the Board may not fall their way, will they pick an OL for their first pick since there should be better graded players?  Mel Kiper in his last mock has them taking OT Tevin Jenkins.
    • SEA does not pick until 56 overall and so they will have to consider who is on the Board for their top need of CB or their next most urgent position of OL.  Given their next and final Top 160 pick is 129, not sure it really matters. I hope they have a great scout dept.
    • IND might be looking OL at 21 which is their Grade 5 need.  Coming right after CHI, we might see a run on OL.  Mel Kiper has them taking DE Jaelan Phillips, which would fulfill their Grade 4 position but not a position of urgency.  By the time they get back around to their next pick at 57, they will be hoping the remaining OL prospects will be decent.
    • BUF is a team that is in a great position from a personnel perspective.  With the 30th overall pick, their top need is DL but that is not a position of urgency from our analysis.  The table points to CB for them but Kiper has DL/OLB Azeez Ojulari becoming the newest member of the Buffalo Bills. 

But Wait, There's More!

As soon as the draft begins and Trevor Lawrence is off the Board, all the information above will change.  With every pick, the numbers will shift as positions with surplus talent become depleted and overall player needs change and with all that, will change the Criticality numbers.  That's why I will be providing updates after Day 1 and Day 2, with a recap of how each team did in terms of covering their "Position Needs" after completion of the draft. 

If this has been interesting to you at all, I hope you will swing back for the update posts as the Draft proceeds into the weekend.

*******************************************************************************
If you like the post above, please check out some other recent articles:

The Fifth Annual People's Top 100 NFL Draft Prospects for 2021 NEEDS YOU!
I need all Big Boards to include in my Top 100 aggregation to find out how you, the People, feel about this draft class.  If you are a regular gal or guy and you have a Top 100, I'd love to see it.  Email me by Sunday April 25th at Boombearfootball@gmail.com for your link to an easy to use web based survey ballot.  Be heard!  Check out last year's Fourth Annual results here!

We have the medicals on Devonta Smith and Tutu Atwell and know their actual heights and weights.  But does it matter in today's NFL?  We took a look at every receiver who measured at the NFL combine since 2000 to see how the big guys compared to the small guys.  Click the link above to see the results.

How have the top NFL QB Draft Prospects performed in terms of accuracy? Glad you asked!  Click the link above to check out the details on QB accuracy and average depth of target (ADOT).

Wednesday, April 14, 2021

NFL 2021 QB Draft Prospects - Accuracy and Average Depth of Target.

 2021 QB Prospects - Accuracy and ADOT

Looking at statistics from PFF.com for the top NFL quarterback prospects in the NFL's Player Draft beginning this April 29th, I wanted to get an idea of what accuracy and average depth of target looked like for signal caller targeted over the last two seasons.

Here is a table with the details:




The table above was created from PFF.com data.  I was not able to find a definition for the term "Accuracy % " in the glossary of terms accompanying the data but the term is generally understood to mean percentage of  passes within the catch radius of the intended receiver. 

Thoughts:
  • No Strong Correlation - First off, the statistical correlation between Accuracy% and Average Depth of Target (ADOT) was not strong based on analysis of qualifying FBS QBs in 2019 (-52%) and 2020 (-27%).  So we can't assume a higher Accuracy% is caused by lower ADOT (or the opposite).

  • Return of the Mac - I wouldn't have believed it, but Mac Jones scored number one in 2019 and 2020 in terms of highest accuracy in the peer group of 2021 NFL draft QB prospects. Of course, even though I put in the disclaimer about the lack of a strong correlation, dude was dead last in terms of getting the ball downfield in 2019 and bottom 3 in 2020.

  • Risk/Reward - At the bottom of Accuracy % for 2020 you will find one Trey Lance although we all know this is a big asterisk, given NDSU played exactly 1 game.  In their desperate attempt to showcase their star, he looked rusty and even gave up his first INT.  If we ignore 2020, he was above average in terms of Accuracy% in 2019 and had the second highest ADOT that year. 

  • Zach Attack - The clear year over year improvement in overall performance by Zach Wilson is summed up in the table...he remained third in ADOT while gaining a half a yard in the process but jumped from last in Accuracy%  on the list all the way up to third. That is a remarkable achievement. 

  • Stuck in the Middle - Presumptive first overall selection Trevor Lawrence is pretty much in the middle in terms of both rankings, both years.  

  • Above the Line - When looking at performance above the mean in both Accuracy% and ADOT in all periods, Wilson and Justin Fields are the only two prospects to make the cut. 

  • Lost Boys  - Not to be lost in the shuffle behind the "Big 5" QBs, Mills, Trask, Book and Mond (sounds like a law firm) are all above average in terms of QB Accuracy% compared to all qualifying FBS QBs in 2019 and 2020.  Their ADOT was generally low but, just like anything else, looking at game videos may help us understand why this is.  Ehlinger had a down 2020 in terms of Accuracy% but over both years, he can get the ball downfield.
No real conclusions to draw here, just more things to look out for when watching QB videos.  

*******************************************************************************
I NEED YOUR HELP!
Working on the 2021 Top 100 NFL Prospects Aggregate List and I need your Big Board.  If you have a top 100 player list (not a mock draft), I would love to include your rankings in the combined list that will be out the week of the NFL draft.  Take a look at last year's Top 100 list and let me know where to send your  link to an online ballot.   https://boombearfootball.blogspot.com/2020/04/boombearjrs-fourth-annual-all-social_22.html





Saturday, April 3, 2021

College Football Wide Receiver Return on Investment for NFL Draft 2021

 Volume vs. Efficiency

We are just a few weeks away from the NFL Player Draft.  To help as you pour over potential prospects, here is the annual review of wide receiver performance measured by efficiency.  The method that has been reported annually is based on something I call Return on Investment or ROI.  A very popular receiver measurement is the Dominator Rating which has been a solid way to compare top receivers.  Every team can only designate a single player as WR1 on the field at any one time so how do we find the complementary receivers who have the ability to play in the big league? ROI helps screen out players who might fly under the radar. 

Before we get into what makes up ROI, let's take a look at Dominator Rating.

Dominator Rating

  • Dominator Rating, or "DR" measures a player’s percentage of team receiving yards plus percentage of team receiving touchdowns.  
  • This concept was brought to the internet mainstream by the guys at Rotoviz.com.  
  • They admit the Dominator moniker is not a promise the player will dominate at the next level, but an apt description of how the player dominated his college team's passing game.  
  • A DR > 50% would suggest NFL superstar potential (top 10 draft pick) for a prospect, 40%-50% would suggest a player worthy of a top 20 pick, 35%-40% indicates late first round/early second, and so on.
Based on 2020-21 FBS stats provided by www.PFF.com, here is the Top DR list based on my calculations:


Yellow =  Within 1 Standard Deviation above the Mean.
Green = Greater than 1 and less than 2 Standard Deviations above the Mean.
Purple = Greater than 3 Standard Deviations above the Mean. 

In looking at evaluating receivers I feel DR is great at isolating potential NFL prospects for further review...but something didn't feel right.  If a player was targeted more frequently, he could potentially gain the lion's share of results. Did that mean he was the best player on the field in the passing game?  Maybe he was the guy because he it was his turn as a senior or maybe the coach just liked him or maybe he had the hype going into the season and running the passing game through him would keep the team on the news. And there were rarely diamonds in the rough to uncover with DR...the players were widely known because they were at the top of the stats columns.  A guy could be responsible for 50% of his teams receiving yards and receiving TDs but maybe they were force feeding him and there were other, more efficient options available who were outside the limelight. But how would you find those guys?

Return on Investment

Return on Investment or "ROI" seeks to uncover just what the name implies...if I invest a passing target in getting the ball to a receiver, what kind of output in terms of production am I going to get from him?  Starting with the basic concept of the DR, the percentage of his team's receiving yards a player generates, ROI goes deeper,  comparing also the percentage of his team's receptions the receiver converts from his targets.  The player's Return on Investment is compared to other players and, unlike DR, the players are tiered based on distribution using standard deviation; therefore, there is no fixed ranking scale.  The number is absolute in that it tells us exactly how much more production a player generated from his opportunities compared to the average receiver. 
As an efficiency measure,  the impact of high volume receivers is eliminated because ROI is based on rates.  However, to minimize the impact of one dimensional deep threat players, only receivers with reception totals greater than 1 standard deviation below the mean are included (the "Sammy Coates rule").   
Unlike DR, this metric ignores touchdowns because there are many factors contributing to a score that may not be directly influenced by the receiver (play design, downfield blocks, blown coverages, etc).  Not that touchdowns are considered useless, as Reception to Touchdown ratio is used for player evaluation purposes.  
ROI is NOT A PREDICTIVE METRIC.  That is, the person at the top of the list should not be considered the best receiver in the college football - they would simply be the most efficient.  ROI rankings are designed to help develop a list of players for further film review to see if they truly are a diamond in the rough.

Here is the 2020-21 list of high draft eligible ROI receivers by Z score (with corresponding Dominator Z Score) for the upcoming NFL Draft:

Tiers are distributed as above with the following additions:
Blue = Greater than 2 and less than 3 Standard Deviations above the Mean.
Orange = Greater than 1 Standard Deviation below the Mean.
Red = Greater than 1 and less than 2 Standard Deviations below the Mean.
Black = Greater than 2 Standard Deviations below the Mean.

  • Top Dog - D'Wayne Eskridge was three times more productive than the average receiver in the final top 150 for the 2020-21 season (based on most yards).  He had 36.6% of his teams targets, 44.7% of the Broncos receptions which he converted to 68.2% of their total yards.  
  • Best in Bama? - DeVonta Smith has the Heisman but when you look at efficiency, his teammate Jaylen Waddle comes out on top with Green Tier results.  
    • Not to put Smith's business out there, but if you venture down to the Orange Tier, you see The Crimson Tide got him 46.6% of the team's targets, 50.9% of their receptions but just 50.6% of team reception yards.
  • Overlooked Bird - Fitzpatrick video is not hard to find since he is always showing out on Atwell tape. He's one of my favorite sleeper picks at WR this year.
  • Out of Nowhere - There may be players with  positive ROI but negative DR may be names you've never heard of.  Good.  That's the point of ROI, to give you names of players to study further.  
  • Players with above average ROI and DR:
    • Eskridge 
    • Shi Smith
    • Bailey Gaither
    • Terrance Marshall
    • Dez Fitzpatrick
    • Ramaud Chiaokhiao-Bowman
    • Tylan Wallace
  • "Brand Name" Players with below average ROI and DR:
    • Kadarius Toney
    • Seth Williams
    • Austin Watkins
    • Rashod Bateman
    • Tutu Atwell
Neither list guarantees success or failure but if these metrics help screen out players for further review of game videos it will help in our evaluations. Over recent years I've found some guys who have gone on to be solid contributors who I never would have found without using ROI...Kenny Golladay, Tim Patrick, Cooper Kupp, Josh Reynolds, Darnell Mooney, Scotty Miller and Keelan Cole (a DII prospect who absolutely dominated that subsection) are a few names.  

Hoping this year's list has a few who will exceed our expectations.

*****************************************************************************

Don't Stop Now, You Quitter!  Other Posts To Read

Comparing Free Agency Spending with Performance over 10 Years - Looking for Free Agency trends that to see how they impact winning.  
QB Prospect Response to Pressure Analysis - 2020 - Taking a look at the NFL Draft Prospects for  2021 when the heat is on .  https://boombearfootball.blogspot.com/2021/02/qb-prospect-response-to-pressure.html

Jets Reset Part II - The Elephant in the Room - Part II of my look at my NY Jets and this time we have to attack head on the issue of the quarterback.  https://boombearfootball.blogspot.com/2021/02/jets-reset-part-ii-elephant-in-room.html





Thursday, March 25, 2021

Big Receiver vs "Little" Receiver - 2020

 

Back in 2019, we took a look at the performance of wide receivers based on size...and while bigger receivers received more targets on average, smaller receivers perform better on a yards per target basis (check it out here).  But how small is too small?

Let's look at the case of Devonta Smith.  Big time talent in a little body. But what does the historical trend tell us?

The Data

Data from every member of the NFL Combine wide receiver group since 2000 was gathered from Pro Football Reference.com.  From this information, the following numbers were aggregated:
  • Body Mass Index 
    • For the group, BMI Z score was derived (Z score represents the number of standard deviations from the mean each subject lies).
  • Receiving Yards
  • Snaps
  • Receiving Yards per Snap (Y/S)
    • Y/S Z score
    • PFR historical snap counts are limited, so Receiving Yards for years where snap count was not available are eliminated from this calculation.
    • Yards per Snap and not Yards per Target to get a better picture of how the team valued a player.  If we look at YPT a player could be a gadget guy who was called in on certain situations. What we are looking for is to measure a players worth through his utilization. 

The Big Picture

  • There were 1089 wide receivers invited to the Combine over the 20 year period.
  • Of those, 597 (or about 55%) generated less than 100 receiving yard during their time in the NFL.  
    • Of those 413 had BMIs in the "average" range (with Z scores between -1.00 and 1.00).
    • 94 below average  
    • 90 above average
    • So it would appear size is not a factor in terms of guys not having an impact in the NFL.
When we look at the performance of 263 WRs who had at least 404 snaps over the 20 year measurement period and break it down by size, here's what we get:



  • Average Yards per Snap of the 263 qualifying receivers is 0.9058 y/s.
  • Quartile 1 contains the larger receivers with average BMI of 6.21% greater than the sample average (26.90).
    • The average player has a Z score (number of standard deviations from the mean) of 1.24.
    • Regarding Yards per Snap, they have the highest rate of 1.10 yards per snap (the average Z Score is 0.23).
    • Above Average Y/S: 37 vs Below Average: 29
    •  Some receivers in this group with Yard/Snaps > 1.10x include Dez Bryant, A.J. Brown and Terry McLauren.
  • Quartile 2 receivers are on average 1.75% higher BMI and produce at a rate of 1.04 Y/S which is 5.5% off the Quartile 1 average.
    • Above Average Y/S: 37 vs Below Average: 29
    • Some receivers with Y/S > the 1.04 average include Julio Jones, Allen Robinson and Julian Edelman.
  • Quartile 3 receivers are on average 1.71% lower BMI and produce at a rate of 0.97 Y/S which is 11.2% off the Quartile 1 average.
    • Above Average Y/S: 32 vs Below Average: 34
    • Receivers with Y/S > the 0.97 Y/S average include TY Hilton, Antonio Brown and Mecole Hardman .
  • Quartile 4 receivers are on average 6.39% higher BMI and produce at a rate of 0.95 Y/S which is 12.9% off the Quartile 1 average.
    • Above Average Y/S: 27 vs Below Average: 38
    • Receivers with Y/S > the 0.95 average include Hunter Renfrow, Robby Anderson and Calvin Ridley.

Conclusion

While this is just a small amount of data to consider, it looks like there is a material difference in Yards per Snap for a Wide Receiver based on BMI.  As BMI dropped so did the Y/S based quartile averages.  As BMI decreased, the number of receivers in each quartile who had below average Y/S production increased.   
This alone is not enough to indicate Smith will have any performance issues given his weight. The lightest guy on the list, JJ Nelson, the only guy with lower Combine BMI than Smith in the 20 year survey, currently has above average Y/S production of 1.12 which is better than Curtis Samuel (1.11),  Will Fuller (1.09) and Tyler Lockett (1.08).  But despite having been in the league as long as Lockett (entered in 2015) he has at least 900 fewer snaps registered than any of the three comp players.  
Smith put on a show in College Football during 2020 and we would love to see that carry over to the pro game.  Let's hope he can be an outlier and have a solid NFL career despite being so light.



Saturday, March 6, 2021

NFL Draft QB Prospect - Unforced Errors

Own Worst Enemy

Recently, I looked at how some of the prospects in the upcoming NFL draft responded to pressure (see the post right here).  With defenders in their faces, we looked at who was able to overcome the pressure and put up numbers.  Performing well under pressure is a desirable characteristic but let's not forget how critical it is to limit one's own mistakes in a clean pocket.  But which players were most prone to making unforced errors?  Let's take a look.

The Data

Data for this analysis is pulled from PFF.com.  For this exercise, Unforced Errors are:
  • Interceptions
  • Sacks
  • Batted Passes
  • Turnover Worthy Plays which are a PFF metric defined as "a pass that has a high percentage chance to be intercepted or a poor job of taking care of the ball and fumbling".
It is acknowledged that all of the above can be debated as potentially being "forced errors". However,  given the QB is ultimately responsible for making the decision of where to go with ball we consider the above errors "unforced". 

The Unforced Error numbers for Total Plays and Pressure Plays were compiled to calculate the Unforced Errors percentage ([Total Plays Unforced Errors minus Pressure Plays Unforced Errors] divided by Total Plays Unforced Errors).  The Z-score (representing the number of standard deviations from the mean) is also calculated. 

Here are the results:





Comments

  • Table is sorted by 2020 performance and includes 2019 numbers.
  • Trey Lance is offset from the rest of the table because he had just one start in 2020 which reflect horrible numbers; his 2019 numbers looked good.
  • Sam Ehlinger had the lowest Unforced Error % and showed improvement of 9.7% over 2019.
  • Mac Jones, who had the best numbers under pressure from my prior analysis, is pretty abysmal when it comes to avoiding unforced errors with 2/3 of his tracked errors coming with no pressure. 
  • Justin Fields increased the most on a percentage basis (by 13.0% year over year) however, he still remained above average in terms of Z score. 
  • Ian Book improved the most reducing his forced errors by 23.3%.
  • Presumptive QB1 Trevor Lawrence and QB2 Zach Wilson are at the wrong end of the the unforced errors table with both below average based on the criteria.   
    • Lawrence also had below average performance numbers for my QB pressure article, so perhaps these areas could be a point of emphasis for his coaching staff during his rookie season in Jacksonville. 
  • Kyle Trask, who could be QB6 coming off the board, was very consistent with performance well above average both here and in the pressure performance article. 

Final Thoughts

Of course, the table above is not a ranking nor is it a prognostication for the order the QBs who will be picked this April. It is not as an attempt to "win' an argument with some random numbers, but this exercise as a whole should be used a tool to help when watching game footage to see what is causing these unforced errors to accumulate or if the errors are even of a magnitude to be included in any scouting evaluation.  You can be the judge of that.  

*****************************************************************************

Don't Stop Now, You Quitter!  Other Posts To Read

Comparing Free Agency Spending with Performance over 10 Years - Looking for Free Agency trends that to see how they impact winning.  
QB Prospect Response to Pressure Analysis - 2020 - Taking a look at the NFL Draft Prospects for  2021 when the heat is on .  https://boombearfootball.blogspot.com/2021/02/qb-prospect-response-to-pressure.html

Jets Reset Part II - The Elephant in the Room - Part II of my look at my NY Jets and this time we have to attack head on the issue of the quarterback.  https://boombearfootball.blogspot.com/2021/02/jets-reset-part-ii-elephant-in-room.html




Wednesday, March 3, 2021

Comparing NFL Free Agency Dollars Spent to Win Totals 2011-2020

A Mystery as Old as Time Itself


In the NFL, there are just two ways to bring new players onto your team - draft them into the league or offer free agent contracts.  The former is fairly simple - all new prospects register for the player draft and teams engage in an orderly selection process.  The latter is a bit more tricky as teams must make competitive contract offers in hopes of the targeted players agreeing to their terms.  While the draft salaries are fixed based on the union contract, free agent contracts have only a minimum.  So, a team's management must really be thoughtful in its approach to spending because the long term impact of free agent contracts is evident even after the player has moved on.


Given the two ways to integrate new players, the age old argument comes up every off season...should my team focus on the draft or free agency?  And if free agency is the focus, how much money should they spend?   While that will always be up for debate, I wanted to look back at the numbers to see how teams that spent the most free agency money performed in terms of wins compared to the prior season. 

Let's take a look:

The Data - Using Spotrac.com, I compiled the annual Free Agency spending data from 2011-2020 and determined each team's the average free agency expense per free agent for each year.  In the table below you will find the following:
  • Div - NFL Division
  • Avg $/FA Z Score - The 10 year average Z Score for each teams' annual free agent contract values/the number of free agency players acquired.
  • Wins over the Last 10 Year - Total Number and Z score of the total wins between 2011 and 2020.
  • 10 Yr Division Place - The average and Z score for the last to divisional finishes. 
  • Total GMs - Number of different GMs over the ten year period observed. 
 
If we go with the hypothesis that the lower a team's average FA contract expense,  the higher their win total over a ten year period, here is a breakout of the data:




Observations
  • The table above is sorted first by Division and second by Avg $/FA Z Score.  
    • From here, we can see how Wins and Divisional Place relate to Average Value of Free Agency contracts written.
  • Looking at the AFC East (AE), New England has historically spent the least in terms of average Free Agency contract which is well below the mean (Z Score of -0.66 standard deviations).
    • They have accumulated the most regular season wins in the league over the measurement period.
      • They have an average final divisional position of 1.20 over the last 10 years. 
    • Conversely, the NY Jet spent more than the mean in terms of FA contracts (Z Score of 0.30) and have the fewest wins in the division as well as the worst average placing at 3.2
    • For the entire league you will see that generally, as the teams spent more money in free agency on a per contract basis their average win total and division placing worsened. 
  •   Big Spenders:  
    • Jacksonville has been heavy handed with FA spending at 2.00 standard deviations over the mean over the last 10 years!  The return has been a league low 44 wins. 
    • Cleveland comes in second with spending 1.10 standard deviations above the mean.  The Browns have the distinct honor of having the worst annual divisional placement of 3.7 on average over the last 10 years.

What Can We Infer?

Lower per player average Free Agent contracts tends to drive win total in the NFL.  From the above table, the team with the most wins in each division is the team that has spent the LEAST in free agency in terms of average FA player contracts with the exception of the NFL North where the Packers have the most wins but they trail the Bear's division leading $/FA Z Score is just 2 basis points.   There is a -75% correlation between Avg $/FA Z Score and Divisional Wins over the 10 year period. 

 
General Managers -  While there is much work to figure out what is going on here, if you look at the number of GMs each team has employed over the 10 year period, it's easy to see that having one GM is a goal but two of the three teams who have had 4 GMs are 31st and 32nd in the league in terms of wins over the measurement period.   Consistency seems to be the key.  

  • Teams with one GM spend the least per contract in free agency and have more wins and better Division Placing than teams with more than one GM over the last 10 years. 
  • Teams with four GMs spend the most in F/A and had the worst performance. 
 

Final Thoughts

While the above is interesting,  it's really nothing new.  Spend wisely, not like a drunken sailor.  Nothing earth shattering about that.  What is interesting is I have a workbook with lots of details that can lead to better insight into what is really driving the decisions leading to the numbers.  Looking forward to digging into the free agency trends and tendencies of each team over the past 10 years to get a better handle on the industry as a whole.  Hope you will check back for updates.

*****************************************************************************

Don't Stop Now, You Quitter!  Other Posts To Read

QB Prospect Response to Pressure Analysis - 2020 - Taking a look at the NFL Draft Prospects for  2021 when the heat is on .  https://boombearfootball.blogspot.com/2021/02/qb-prospect-response-to-pressure.html

Jets Reset Part II - The Elephant in the Room - Part II of my look at my NY Jets and this time we have to attack head on the issue of the quarterback.  https://boombearfootball.blogspot.com/2021/02/jets-reset-part-ii-elephant-in-room.html

The Nut Doesn't Fall Far from the Coaching Tree - Looking at the lineages of some of the NFL head coaching prospects for 2021.  Boombear's College Football Analysis: Strong Roots: NFL Head Coaching Vacancies and Coaching Trees (boombearfootball.blogspot.com)