Jump to content

2024 Prospects List (Google Sheets)


Karnage84

Recommended Posts

3 hours ago, Sllim Pickens said:

I think having this info is going to be fun to see who does well in the NFL based on their college numbers and athleticism and look back to see the correlation.  Seeing if there are trends or identifiers that truly help figure it out. And even the outliers if there is something specific that the numbers missed.

Also wondering how much NFL coaching plays into it.  Like if we see a trend of solid players failing in a specific scheme or on teams that change coaches every three years.  Like for a while there, every LB and CB New England drafted seemed to be good and wondering how much is BB vs them just finding the right guys.  A lot of really fun info and analysis can come from it.  I wonder if teams have this type of info and have people on staff looking at this stuff even if they have their own internal grading system instead of PFF.  It seems like with the money they have that they would use something like this. 

  YEAR SELECT PICKS % OF PICKS   1 2 3 4 5 6 7 TOTAL   OLB
1 2012 33 253 13.0%   4 5 2 6 8 2 4 31   -2
2 2013 27 254 10.6%   2 6 2 5 3 3 5 26   -1
3 2014 34 256 13.3%   5 3 3 5 6 2 7 31   -3
4 2015 34 256 13.3%   3 5 3 5 7 6 5 34   0
5 2016 36 253 14.2%   2 7 3 7 3 7 7 36   0
6 2017 29 253 11.5%   3 4 5 4 6 2 3 27   -2
7 2018 39 256 15.2%   4 3 6 3 6 8 8 38   -1
8 2019 31 254 12.2%   2 2 6 2 12 4 3 31   0
9 2020 38 255 14.9%   4 1 4 3 2 4 4 22   -16
10 2021 22 259 8.5%   3 3 5 3 4 2 2 22   0
11 2022 25 262 9.5%   2 1 7 1 3 4 3 21   -4
12 2023 30 259 11.6%   3 1 6 1 7 4 0 22   -8
                               
            37 41 52 45 67 48 51     -37
                               
        2012-2018   23 33 24 35 39 30 39      
        2019-2023   14 8 28 10 28 18 12      
Link to comment
Share on other sites

10 minutes ago, Karnage84 said:
  YEAR SELECT PICKS % OF PICKS   1 2 3 4 5 6 7 TOTAL   OLB
1 2012 33 253 13.0%   4 5 2 6 8 2 4 31   -2
2 2013 27 254 10.6%   2 6 2 5 3 3 5 26   -1
3 2014 34 256 13.3%   5 3 3 5 6 2 7 31   -3
4 2015 34 256 13.3%   3 5 3 5 7 6 5 34   0
5 2016 36 253 14.2%   2 7 3 7 3 7 7 36   0
6 2017 29 253 11.5%   3 4 5 4 6 2 3 27   -2
7 2018 39 256 15.2%   4 3 6 3 6 8 8 38   -1
8 2019 31 254 12.2%   2 2 6 2 12 4 3 31   0
9 2020 38 255 14.9%   4 1 4 3 2 4 4 22   -16
10 2021 22 259 8.5%   3 3 5 3 4 2 2 22   0
11 2022 25 262 9.5%   2 1 7 1 3 4 3 21   -4
12 2023 30 259 11.6%   3 1 6 1 7 4 0 22   -8
                               
            37 41 52 45 67 48 51     -37
                               
        2012-2018   23 33 24 35 39 30 39      
        2019-2023   14 8 28 10 28 18 12      

So we're seeing a significant shift away from 1st round LBs or at least 'off ball' guys. It's hard going through the draft selections since Will Anderson is designated as an LB in the same fashion as Jack Campbell is. 

It's wild to see - the handful of rare guys that might get drafted in round 1 to the near complete drop off in round 2 with most guys being selected in either round 3 or round 5. 

This means that we're probably looking at anything between about 9 - 14 prospects in the 3rd to 5th round range. I believe the Lions will have certain traits that should narrow this down even further - 235 lbs +, reliable tackler; good in coverage; intangibles, etc. 

Edited by Karnage84
Link to comment
Share on other sites

On 6/2/2023 at 2:18 PM, Karnage84 said:

So we're seeing a significant shift away from 1st round LBs or at least 'off ball' guys. It's hard going through the draft selections since Will Anderson is designated as an LB in the same fashion as Jack Campbell is. 

It's wild to see - the handful of rare guys that might get drafted in round 1 to the near complete drop off in round 2 with most guys being selected in either round 3 or round 5. 

This means that we're probably looking at anything between about 9 - 14 prospects in the 3rd to 5th round range. I believe the Lions will have certain traits that should narrow this down even further - 235 lbs +, reliable tackler; good in coverage; intangibles, etc. 

The traits is what I am most interested in.  I really don't care where guys were drafted but intrigued to see how much PFF, and RAS, and ranking tend to impact the outcome in the NFL. That correlation will be fun to track for all positions over the next few years now that you have some data.  

Link to comment
Share on other sites

5 hours ago, Sllim Pickens said:

The traits is what I am most interested in.  I really don't care where guys were drafted but intrigued to see how much PFF, and RAS, and ranking tend to impact the outcome in the NFL. That correlation will be fun to track for all positions over the next few years now that you have some data.  

AVG   RD1 RD2 RD3 RD4 RD5 RD6 RD7
Career (Yrs)   5 6 4 4 4 3 3
AP1ST TM   0 0 0 0 0 0 0
PRO BOWL   1 1 0 0 0 0 0
STARTER   3 4 2 1 1 1 0
BACKUP   2 3 2 3 3 2 3
START%   67% 53% 31% 25% 19% 12% 9%
BACK%   33% 47% 69% 75% 81% 88% 91%
wAV   31 30 13 12 11 7 5
DrAV   26 22 10 8 9 5 4
G   66 79 46 51 47 39 36
SOLO   224 266 120 117 106 67 38
INT   4 5 3 2 3 3 2
SACKS   15 12 8 4 5 6 2
RAS   8.56 7.50 7.77 6.95 7.14 6.90 6.79
Edited by Karnage84
Link to comment
Share on other sites

RD

PICK TEAM NAME RAS   AGE DRAFT YEAR PS INJ/IR CFL
7 209 STL Aaron Brown 7.97 LB   2012        
7 222 DAL Caleb McSurdy 2.10 LB 22 2012 2014 1 1  
7 245 DET Brandon Hepburn 5.79 LB 23 2013   1 1  
5 168 ATL Marquis Spruill 5.83 LB 23 2014 2015   1 1
6 192 PIT Jordan Zumwalt 7.09 LB 22 2014 2016   1  
7 238 DAL Will Smith 6.00 LB 22 2014 2015 1   1
7 253 ATL Yawin Smallwood 3.50 LB 22 2014 2015 1    
6 178 NWE Matthew Wells 7.72 LB 24 2015 2016 1   1
7 232 WAS Steven Daniels 1.11 ILB 23 2016 2017 1 1  
6 178 NWE Christian Sam 7.53 ILB 22 2018 2022      
6 216 OAK Azeem Victor 6.15 LB 22 2018   1    
5 147 BUF Vosean Joseph 0.20 LB 21 2019 2020   1 1
6 210 CIN Deshaun Davis 2.63 LB 23 2019   1   1
6 202 ARI Evan Weaver 6.25 LB 22 2020 2021 1    
5 161 NOR D'Marco Jackson 8.29 LB 24 2022     1  
6 182 NYG Darrian Beavers 9.61 LB 23 2022     1  
6 219 TEN Chance Campbell 9.71 LB 22 2022     1  
                       
        5.73         9 9 5
Link to comment
Share on other sites

Just now, Karnage84 said:

RD

PICK TEAM NAME RAS   AGE DRAFT YEAR PS INJ/IR CFL
7 209 STL Aaron Brown 7.97 LB   2012        
7 222 DAL Caleb McSurdy 2.10 LB 22 2012 2014 1 1  
7 245 DET Brandon Hepburn 5.79 LB 23 2013   1 1  
5 168 ATL Marquis Spruill 5.83 LB 23 2014 2015   1 1
6 192 PIT Jordan Zumwalt 7.09 LB 22 2014 2016   1  
7 238 DAL Will Smith 6.00 LB 22 2014 2015 1   1
7 253 ATL Yawin Smallwood 3.50 LB 22 2014 2015 1    
6 178 NWE Matthew Wells 7.72 LB 24 2015 2016 1   1
7 232 WAS Steven Daniels 1.11 ILB 23 2016 2017 1 1  
6 178 NWE Christian Sam 7.53 ILB 22 2018 2022      
6 216 OAK Azeem Victor 6.15 LB 22 2018   1    
5 147 BUF Vosean Joseph 0.20 LB 21 2019 2020   1 1
6 210 CIN Deshaun Davis 2.63 LB 23 2019   1   1
6 202 ARI Evan Weaver 6.25 LB 22 2020 2021 1    
5 161 NOR D'Marco Jackson 8.29 LB 24 2022     1  
6 182 NYG Darrian Beavers 9.61 LB 23 2022     1  
6 219 TEN Chance Campbell 9.71 LB 22 2022     1  
                       
        5.73         9 9 5

These are all LB's that were drafted and did not play a down in the NFL. I wanted to explore and see if there were any patterns in what kind of player might fall into this category.

In most cases, it has been as a result of an injury. Rams LB Aaron Brown had some character questions coming into the draft (very hard to find any info on him). In most cases, these guys are relatively unathletic compared to the average.

R5 3
R6 8
R7

6

Link to comment
Share on other sites

AVG   RD1 RD2 RD3 RD4 RD5 RD6 RD7
Career (Yrs)   5 6 4 4 4 3 3
AP1ST TM   0 0 0 0 0 0 0
PRO BOWL   1 1 0 0 0 0 0
STARTER   3 4 2 1 1 1 0
BACKUP   2 3 2 3 3 2 3
START%   67% 53% 31% 25% 19% 12% 9%
BACK%   33% 47% 69% 75% 81% 88% 91%
wAV   31 30 13 12 11 7 5
DrAV   26 22 10 8 9 5 4
G   66 79 46 51 47 39 36
SOLO   224 266 120 117 106 67 38
INT   4 5 3 2 3 3 2
SACKS   15 12 8 4 5 6 2
RAS   8.56 7.50 7.77 6.95 7.14 6.90 6.79
PFF NCAA   83.2 77.4 78.1 73.3 75.0 74.0 73.4
Link to comment
Share on other sites

@Sllim Pickens

You're probably the only one looking at this.. but here goes. 

I was trying to work on some predictors - some indication that a player would be more likely to become a starter, a key back up or wind up failing out of the league. 

The Good: We have a range of RAS and PFF scores that should give us an idea of whether this player should succeed as a starting LB, have a career as a backup or wash out

The Bad: There's enough overlap that it'll be harder to figure out who those guys will be, especially pre-draft. 

RD1

STARTERS (50%-100% OF CAREER, NO LESS THAN 2 SEASONS)

RAS

  • Median = 9.32
  • Standard Deviation = 1.68
  • -1 Std Dev = 7.63
  • +1 Std Dev = 11 (Highest RAS is 10.0)

PFF OVR

  • Median = 83.4
  • Standard Deviation = 8.2
  • -1 Std Dev = 75.10
  • +1 Std Dev = 91.6

SUMMARY

Athletic and productive guys work out as good players? It's shocking.... However, it's more about the bottom end that I wanted to determine. So we can see that the lowest RAS is 7.63 and the lowest OVR is 75.10 where they can still be a starter at 50%+. If a player is towards the bottom in both of these categories, it'll be a lot less likely they'll work out. 

BACKUP (0 - 50%)

RAS

  • Median = 8.05
  • Standard Deviation = 2.67
  • -1 Std Dev = 5.38
  • +1 Std Dev = 10.72 (Highest RAS is 10.0)

PFF OVR

  • Median = 74.3
  • Standard Deviation = 6.7
  • -1 Std Dev = 67.6
  • +1 Std Dev = 81.0

SUMMARY

So we see a big drop off in median RAS with a larger standard deviation. A RAS of 10 doesn't guarantee that a player will be great but it is probably one factor in why they were selected in Round 1. Having a RAS of 5.38 or less is likely going to indicate this player will be in more of a back up role in their career or even bust. 

A median of 74.3 is lower than the lower end of the starter (75.10), which should help in establishing if a player is more likely to fit into a starting role or as a back up. A PFF OVR over 81.0 leans closer to this player being a starter for most of their career. A 67.6 or less would strongly suggest they would fall into the back up role. 

 

Link to comment
Share on other sites

My "Probable potential Lions LB picks via 2024 draft"

6'0+. 235 lbs+, 74.3 OVR+ (based on above), coverage grade of 65.0+. We don't have any RAS scores right now to help narrow things down. 

 

NAME SCHOOL HT WT PFF OVR
Tommy Eichenberg Ohio State 74 239 86.8
Chad Bailey Missouri 72 240 84.2
Cody Simon Ohio State 74 239 80.5
Clayton Coll Ball State 75 235 80.4
Dallas Gant Toledo 75 235 80.0
Marlowe Wax Syracuse 73 239 78.6
Justin Wright Oklahoma State 74 239 78.1
Jackson Sirmon California 74 240 77.9
Stone Snyder Virginia Tech 75 240 77.8
Shayne Simon Pittsburgh 75 235 76.7
         
Junior Colson Michigan 74 235 75.6
Jacob Roberts Wake Forest 73 235 75.4
DJ Schram Boise State 73 235 75.0
Devyn Curtis Middle Tennessee 74 237 74.6
Tyrice Knight UTEP 74 240

74.3

Link to comment
Share on other sites

My biggest issue with RAS is that the rating figures heavily on which position they graded the player at. EDGE and hybrid players in particular, if they grade them at DE against their measurements might be lower whereas if they trade them against LBs, their measurements (and RAS) end up grading higher which can skew their number considerably. Same as S/NB/CB. Also IOL vs OT. 
 

I like RAS to compare speed/agility vs peers, but the overall RAS number does little for me. I still think this research you are doing is incredible. 

Link to comment
Share on other sites

Tommy Eichenberg is "my guy" in this way too early version of things. Projected as a 3rd rounder despite being a Butkus award candidate (and presumably the leading guy), grades really well across the board in run defense and coverage. He's probably not going to test at Jack Campbell's level but he'll probably exceed overall projections but get knocked for his 40 (Draft Buzz has a 4.69 right now). 

16 minutes ago, Louis Friend said:

My biggest issue with RAS is that the rating figures heavily on which position they graded the player at. EDGE and hybrid players in particular, if they grade them at DE against their measurements might be lower whereas if they trade them against LBs, their measurements (and RAS) end up grading higher which can skew their number considerably. Same as S/NB/CB. Also IOL vs OT. 
 

I like RAS to compare speed/agility vs peers, but the overall RAS number does little for me. I still think this research you are doing is incredible. 

I totally get it. However, I'm looking at off ball LB's. I tried to eliminate this by only including LB/ILB designated guys in the list from Pro Football Reference and/or Wikipedia. 

Unfortunately, guys like Khalil Mack, Rashan Gary, Jermaine Johnson, etc. get wrapped up into that. I excluded anyone with the OLB designation to try and mitigate this - which could arguably rule out guys who are 4-3 OLB's. There's some level of inaccuracy but this is more of an "out of interest" project and I didn't want to get too nitpicky. 

RAS: Given the effort, RAS (and PFF) are simplified metrics that have the same baseline for each prospect at the same position. Draft position is meaningless as we have guys who are drafted in round 1 that wash out while a guy like Malcolm can start every game as a 6th rounder (limited sample but still). We don't have any RAS for the 2024 class or enough information to try and generate one (I've tried with Jeremiah Trotter but missing too many details) but that'll get thrown into the blender when the time comes.

PFF OVR: This is just a simplified version to measure "production" and arguably "quality of play". PFF only started doing this in 2014, so the earliest draft class that I have this info for is the 2015 class. So we're missing a big segment - 2012, 2013 and 2014 classes. Given that Luke Kuechly, Lavonte David and Bobby Wagner all came from the 2012 class.. it would have been nice to have those tools to compare things. 

Link to comment
Share on other sites

I have to imagine that these guys would all have graded out pretty well via PFF if it was available at the collegiate level at the time. 

Luke Kuechly (3 Seasons at BC)

  • Tackles: 191
  • TFL: 12
  • Sack: 0
  • INT: 3
  • DTD: 1
  • PD: 0
  • FF:0
  • FR: 0

Lavonte David (2 Seasons at Nebraska)

  • Tackles: 133
  • TFL: 12
  • Sack: 5.5
  • INT: 2
  • DTD: 0
  • PD: 2
  • FF:3
  • FR: 2

Bobby Wagner (4 Seasons at Utah State)

  • Tackles: 147
  • TFL: 11.5
  • Sack: 4
  • INT: 2
  • DTD: 0
  • PD: 2
  • FF:0
  • FR: 0

 

Link to comment
Share on other sites

5 hours ago, Karnage84 said:

@Sllim Pickens

You're probably the only one looking at this.. but here goes. 

I was trying to work on some predictors - some indication that a player would be more likely to become a starter, a key back up or wind up failing out of the league. 

The Good: We have a range of RAS and PFF scores that should give us an idea of whether this player should succeed as a starting LB, have a career as a backup or wash out

The Bad: There's enough overlap that it'll be harder to figure out who those guys will be, especially pre-draft. 

RD1

STARTERS (50%-100% OF CAREER, NO LESS THAN 2 SEASONS)

RAS

  • Median = 9.32
  • Standard Deviation = 1.68
  • -1 Std Dev = 7.63
  • +1 Std Dev = 11 (Highest RAS is 10.0)

PFF OVR

  • Median = 83.4
  • Standard Deviation = 8.2
  • -1 Std Dev = 75.10
  • +1 Std Dev = 91.6

SUMMARY

Athletic and productive guys work out as good players? It's shocking.... However, it's more about the bottom end that I wanted to determine. So we can see that the lowest RAS is 7.63 and the lowest OVR is 75.10 where they can still be a starter at 50%+. If a player is towards the bottom in both of these categories, it'll be a lot less likely they'll work out. 

BACKUP (0 - 50%)

RAS

  • Median = 8.05
  • Standard Deviation = 2.67
  • -1 Std Dev = 5.38
  • +1 Std Dev = 10.72 (Highest RAS is 10.0)

PFF OVR

  • Median = 74.3
  • Standard Deviation = 6.7
  • -1 Std Dev = 67.6
  • +1 Std Dev = 81.0

SUMMARY

So we see a big drop off in median RAS with a larger standard deviation. A RAS of 10 doesn't guarantee that a player will be great but it is probably one factor in why they were selected in Round 1. Having a RAS of 5.38 or less is likely going to indicate this player will be in more of a back up role in their career or even bust. 

A median of 74.3 is lower than the lower end of the starter (75.10), which should help in establishing if a player is more likely to fit into a starting role or as a back up. A PFF OVR over 81.0 leans closer to this player being a starter for most of their career. A 67.6 or less would strongly suggest they would fall into the back up role. 

 

Interesting info.  So this is just 1st round picks correct?  And how far back did you go with it?  There are only like p LBs in the 1st round since 2020 if you don't count edge guys like Will Anderson, Micah Parsons etc. 

Any chance you can add RAS to the 2023 LB list next to their PFF for future tracking purposes since I can't edit it?  I know your info is only 1st round picks so Campbell is out only example this year but others who have a similar PFF/RAS scores like Sirvocea Dennis (7.75 RAS/90.6 PFF, 5th round pick), Dorian Williams (8.78 RAS, 83 PFF, 3rd Rd pick) etc end up doing.  Obviously Campbell should be a starter with his 91.7 and 9.98 RAS given he is near 1 STD up in both from the median.  

Side note, Malcolm Rodriguez had a 9.48 RAS and a PFF in the mid 80s if I remember correctly.  So makes sense he would work into being a starter long term after a solid year as a part time starter in 2022.   

 

Link to comment
Share on other sites

3 hours ago, Louis Friend said:

My biggest issue with RAS is that the rating figures heavily on which position they graded the player at. EDGE and hybrid players in particular, if they grade them at DE against their measurements might be lower whereas if they trade them against LBs, their measurements (and RAS) end up grading higher which can skew their number considerably. Same as S/NB/CB. Also IOL vs OT. 
 

I like RAS to compare speed/agility vs peers, but the overall RAS number does little for me. I still think this research you are doing is incredible. 

Is RAS done by position or by size? I think it is size which means that position doesn't matter its just how athletic you are compared to others your size.  If you are 290 lbs, odds are you are a DT or an OL so you are being compared to people in your weight range.  Like Anthony Richardson may not be as fast as Vick but he is 4 inches taller and 35 lbs heavier so he has a higher RAS.  But Richardson's RAS is also compared against TE's who are his same size.  He is about the same size as George Kittle but almost a second faster in the 40 and has a vertical jump that is 5" higher.  He is also similar to Jack Campbell in size, and being faster and jumping higher is why he gets a slightly higher grade but Campbell's agility drills boosted him up. 

Link to comment
Share on other sites

18 minutes ago, Sllim Pickens said:

Interesting info.  So this is just 1st round picks correct?  And how far back did you go with it?  There are only like p LBs in the 1st round since 2020 if you don't count edge guys like Will Anderson, Micah Parsons etc. 

Any chance you can add RAS to the 2023 LB list next to their PFF for future tracking purposes since I can't edit it?  I know your info is only 1st round picks so Campbell is out only example this year but others who have a similar PFF/RAS scores like Sirvocea Dennis (7.75 RAS/90.6 PFF, 5th round pick), Dorian Williams (8.78 RAS, 83 PFF, 3rd Rd pick) etc end up doing.  Obviously Campbell should be a starter with his 91.7 and 9.98 RAS given he is near 1 STD up in both from the median.  

Side note, Malcolm Rodriguez had a 9.48 RAS and a PFF in the mid 80s if I remember correctly.  So makes sense he would work into being a starter long term after a solid year as a part time starter in 2022.   

 

This is just 1st round for right now. I could do rounds 2 and 3 but I was thinking that I would want to identify guys with 1st round traits as opposed to guys that will be drafted in round 2 or round 3. 

So this goes as far back as 2012 in terms of RAS and 2014 stats (2015 draft) for PFF. 

LB: It does include some guys like Will Anderson, Micah Parsons, Barkevious Mingo, etc. I figure between the guys who don't get roped in that play 4-3 OLB and the guys that are playing 3-4 OLB it'll wash out. This is already an inexact science so I didn't think it was worth doing a micro dive into things. 

So when we look at a guy like Malcolm (or Dennis or Williams), we're looking at anything within the median to plus or minus 1 standard deviation. That will encapsulate 68%, which is a far better shot than 50/50. It just increases our probability that a guy that hits these metrics is going to play between 50% to 100% of their games as a starter. 

I expect Malcolm is going to wind up playing a key backup role this year with the *potential* to replace Anzalone next year if he can take the next leap. If he can't, then we're definitely going to be drafting AA's replacement (cough Tommy Eichenberg cough) in 2024. 

PFF/RAS: I thought I had it in there for the 2023 class. I'll double-check. 

 

Link to comment
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

×
×
  • Create New...