Posts tagged Cordarrelle Patterson

Futures: WR Cordarrelle Patterson, Playmaker

Patterson may not be a Playmaker according to Football Outsider's score, but he is one in my book. Photo by Nashville Corps.
Photo by Nashville Corps.

Cordarrelle Patterson may not be a playmaker according to Football Outsider’s Playmaker Score, but the elusive receiver with skills as a receiver that many top prospects-turned-busts lacked is worth the risk in my book. Find out where I think the Combine, production, and film study have a place in this discussion of this versatile, athletic, wildcard.

When it comes to evaluating football talent, I believe analytics can be a part of the conversation. The Playmaker Score is a good example.

I think the Playmaker Score is a nice attempt at data mining where Vince Verhei has reverse-engineered a formula with the hope of developing a successful model to predict future results. The score does enough to have value in discussions about specific wide receiver prospects, but Playmaker is not the entire conversation.

I believe player evaluation can be likened to a three-legged, wooden table:

  • Technical skill
  • College production
  • Athleticism

If one of these legs is missing or not factored into an evaluation enough, the table doesn’t function as it should. The fourth factor is character, but I think it’s best considered as liquid -– either it enhances, like a wood stain, or degrades, like water spot.

Scouting is such a hit-or-miss process because no one has figured out a way to consistently make all three legs of the table functional for every player evaluation. Nor can they predict if the player’s character will enhance or ruin the “table.”

The Playmaker Score has a grim outlook for this group of wide receivers. In contrast, many scouts and analysts tout the position as deep and talented. Before going any further, here is Vince’s overview of Playmaker:

When we first devised our Playmaker Score projection system to predict NFL success for wide receivers, we looked at individual collegiate production only. A second version added team statistics to account for players who might have seen their numbers inflated by prolific passing offenses. This year, with Playmaker Score 3.0, we’ve added Combine data for the first time. Now we’re measuring not just football skills, but raw physical talent.

We’ve made one other fundamental change to Playmaker Score, and it involves the way collegiate data is handled. In the past, using career totals considerably underrated those players who were so spectacular that they skipped their senior seasons and entered the draft early, while using per-game numbers depressed the ratings for guys who had lots of one- and zero-catch games as freshmen and sophomores before exploding as juniors and seniors. We tried to get around this by using a mix of career totals and per-game data, but the results were a little confusing and somewhat illogical. So we’ve gone back to the drawing board, and we’re now using the numbers from each player’s best season. This makes the most sense because it rewards the biggest stars at the expense of more mediocre players who pad their statistics with multiple starting seasons. Obviously, there’s now a danger of overestimating one-year wonders, but we’re working on some methods to correct for that in the future.

We checked the numbers for every receiver drafted from 2005 to 2009, a group of 149 players. That gave us five years’ worth of recent history, while giving every player at least three years to break out in the NFL. For each player, we determined their NFL success by dividing their career receiving yardage by the number of seasons that had passed since, whether they were still in the league or not. We also compared their Combine numbers to their NFL statistics and checked which were most accurate when it came to predicting NFL success.

Playmaker Score addresses the basic question of how good the quarterback is when it comes to giving his receiver opportunities for production. However, I think zeroing in on passes per game as a factor makes Playmaker Score a slave to a specific kind of receiver production that doesn’t tell the entire story.

Problems Endemic to Football Evaluation

Playmaker does not fully address all the dimensions of production that can make a wide receiver a playmaker. Yards after catch is a significant example, although not a purposeful oversight. The staff here at Football Outsiders would love to have this data, but the college game does not supply it in an easily available format.

However, this is part of the reason why I think the revised 2011 Playmaker Scores missed on A.J. Green (227 points) and Randall Cobb (136 points), but it liked Jonathan Baldwin (464 points) and Torrey Smith (448 points). I think Baldwin and Smith played in offenses that were suited to what Playmaker Score rewards players for: red-zone production and longer plays from pitch-to-catch. It doesn’t factor in ball carrying of any sort, and that’s part of what it missed about Green and Cobb.

I liked Smith’s prospects, but I wasn’t high on Baldwin. One of the reasons reflects what is missing from Playmaker: it is a formula based on production and athleticism (as measured by certain sprints and jumps, at least) but it doesn’t account for technical skill.

However, I’m jumping the gun on technique. The athleticism factor also requires more discussion.

The way Playmaker uses Combine data is a problem endemic to the area of football evaluation. I believe the primary function of the Combine should first be to determine which players have the baseline speed, strength, quickness, and size to perform at an NFL level. Instead, there is too much emphasis placed on stronger-faster-higher-longer.

Playmaker’s inclusion of Combine measurements assumes that the better (certain) Combine numbers, the better the player. I think most people make this assumption, and it’s easy to do: Some people believe Calvin Johnson is a better player than Dez Bryant because he jumps higher, runs faster, and does it in a bigger body.

Athleticism is a baseline requirement, but there is a point where a player’s value can be inaccurately inflated or depressed because technical skill or capacity to learn the game isn’t properly accounted for. To give examples, we have A.J. Green on one hand, and Robert Meachem on the other.

Green had actually scored high in the previous version of Playmaker (v2.0) but does not fare well in the current version because of the Combine metrics. His NFL Combine metrics were NFL-quality, but not stellar. Yet what the formula misses, game observation catches: aplayer who gets the most from his athleticism because he integrates his physical and technical skill sets at a high level to make plays.

Meachem, on the other hand, was a fast prospect, but he couldn’t catch the ball with his hands away from his body. I admired his efforts as a senior at Tennessee to extend his arms to the football, but he often had to revert to a trap technique.

One example I recall was a game in Tennessee against LSU. Meachem dropped three passes in the first quarter alone while trying to use proper hands technique. He then reverted to a trap technique for the rest of the game.

While I admired Meachem for trying, some technical skills are more difficult to learn at this stage of football than others. Receivers who don’t make receptions with their hands away from their frames are unlikely to acquire these skills when they transition to the pro game.

This issue is what I would term a fatal error. Difficulty securing the ball after contact from a defender during the act of the reception can also be a fatal error when it comes to evaluating the technical skill potential of a prospect.

Although Meachem eventually made some strides to improve this skill, he has never been comfortable enough to make a complete transition. He has not become the impact player commensurate with his first-round grade. These two flaws were why I didn’t like Meachem’s chances of doing that, and he proved me right.

As for other examples from 2011, I loved Green (my No. 1 rated receiver in 2011), Randall Cobb (No. 3) and Torrey Smith (No. 5). In contrast, Jonathan Baldwin (No.13) was an overrated commodity in my book. Green, Cobb and Smith demonstrated excellent skill versus contact and both Green and Cobb were strong players after the catch. Baldwin’s hands techniques were spotty and his technique and conceptual execution of routes were inconsistentat best.

I think a better way to view measures of athleticism is to, as I said, first assess if it meets the baseline requirements to play in the NFL. Then assess if that player also meets baselines for skill level/capacity to learn the skills.

Once an evaluator establishes that the prospect has the basic tools, I think the fast-stronger-longer-higher quality of the Combine measurements become a refining characteristic to the evaluation process. The same goes for productivity metrics.

The problem is that we want to throw these tools into the evaluation process at a premature stage. As a result, the data can often overestimate (or underestimate) the value of players.

Cordarrelle Patterson is a good example . . .  Read the rest at Football Outsiders

The Elusiveness Factor: Patterson-Austin-Woods By Nick Whalen

Who is more elusive, Cordarrelle Patterson or Tavon Austin? Photo by Nashville Corps.
Who is more elusive, Cordarrelle Patterson or Tavon Austin? Photo by Nashville Corps.

If you’re an NFL Draft junkie, this time of year feels like the weeks of anticipation leading to Christmas Day.  When I was a kid, recordings of previous NFL Drafts were my “cartoons before bedtime,” before this blessed event that always brought a sense of euphoria when it finally arrived.

I’m not normal.

But I seek solace in the fact that many of you know what I mean.  The 2013 NFL Draft has two bright, shiny toys in Cordarrelle Patterson and Tavon Austin. Yet like some of the most popular toys kids want for Christmas, they present some risks that are polarizing.

I’m not the Consumer Reports of college prospects. If you want a safety assessment regarding the risk of investing in them, go somewhere else. I want to explore what they do best: making collegiate defenders look silly trying to corral them in when they had the ball.

So for the past few weeks, I dove into film study that took more time than I feel comfortable divulging.  My fiancé literally thinks I’m nuts, but this is her first NFL Draft with me – so better she know now what she’s getting into. This piece has enough data collection on the back end that it could blow Mel Kiper so far back that he’d have no more product left in his hair.

Since Patterson and Austin are so good at making defenders miss, I wanted a third prospect to study that is considered an elusive receiver in the normal sense of the word. I chose Robert Woods. Here are the number of games and plays I watched of each player.*

  • Cordarrelle Patterson: 12 games/67 plays
  • Tavon Austin: 12 games/172 plays
  • Robert Woods: 15 games/138 plays

*Patterson and Austin’s games are from the 2012 season. Woods’ games were from 2011 and 2012 to match Austin’s sample size.

Plays like this one, where Woods has to make a diving effort and drops to the ground were among those discounted in Whalen's analysis. Photo by Neon Tommy.
Plays like this one, where Woods has to make a diving effort and drops to the ground were among those discounted in Whalen’s analysis. Photo by Neon Tommy.

In order to get as accurate of an assessment as I could, I opted to dismiss plays from my sample that put the player in a situation where he had no chance to make a defender miss.  These six types of plays didn’t count in my study (abbreviations in parenthesis for tables below):

  • Catching a touchdown in the end zone (TD-End).
  • Untouched/easy path to the end zone (TD-Easy).
  • Tackled by the defender upon making a reception (T/Rec).
  • Falling catch (F/Rec)
  • Falling out of bounds, slipping, or diving to the ground while making the catch near sideline (Side).
  • Exiting the boundary to preserve the clock in the appropriate game situation (Exit).
  • Designed runs from the backfield between the tackles (Int).

I also opted to dismiss Tavon Austin’s interior running plays when used from the backfield.  This way I could focus on all three players as ball carriers from the receiver position (jet sweeps, end-arounds, and reverses). “Total D” in the table is the number of plays dismissed from the analysis, which is subtracted from the “Watched” column to generate the Adjusted Total.

Name

TD-End

TD-Easy

T/Rec

F/Rec

Side

Exit

Int.

Total D

Watched

Adj. Total

Patterson

6

1

5

1

11

1

0

25

67

42

Austin

4

1

18

5

1

0

38

67

172

105

Woods

20

1

31

13

7

0

0

72

138

66

Woods has a very high number of catches where he was tackled during the catch reception or he fell upon making the catch.  This has to do with his combination of athleticism, the type of targets thrown his way and his lack of separation from defenders in some of these situations.

I counted players that were within a three-yard radius with a legitimate chance of making a tackle.

Clearly there is some subjectivity to how I did this, but I was as uniform with my process as I could:

  • If the defender was three yards behind the ball carrier, he’s not counted as a tackle attempt.
  • If the defender was three yards ahead and with no blocker in his way, I counted it as an attempt.
  • If a defender is being blocked, it had to be a distance of less than half a man and he had to have a true shot to attempt an arm on the ball carrier.

I used this data to calculate elusiveness on pass plays, run plays, punt returns, kick returns, and total plays.

Pass Plays

Name

Eluded

Receptions

Pct.

Patterson

27

16

169%

Austin

25

44

57%

Woods

24

66

36%

I didn’t expect Woods to be on par with Patterson or Austin, but for Patterson to have eluded more defenders on a fraction of the receptions that either Austin or Woods had is a fascinating number to see. It leaves one to wonder how much these numbers reflect the style or location of the play or if Patterson’s style of running after the catch is that much more efficient at making defenders miss.

Run Plays

Name

Eluded

Runs

Pct.

Patterson

23

17

135%

Austin

20

29

69%

Woods

3

2

150%

The number of Patterson’s defenders who missed him equals the total of Austin and Woods combined. Not much of a sample for Woods. For those of you interested in the outcome of Austin’s interior running plays, the Mountaineer made 24 defenders miss on 38 runs between the tackles that qualified.

Punt Returns

Name

Eluded

Returns

Pct.

Patterson

7

2

350%

Austin

27

8

338%

Woods

8

7

114%

Punt returns have been regarded as one of the easiest situations where a ball carrier can make a defender miss and the numbers across the board appear to reflect this notion.

Kick Returns

Name

Eluded

Returns

Pct.

Patterson

15

7

214%

Austin

17

24

71%

Woods

3

2

150%

 The sample size for Woods is too small to draw any reasonable conclusions. It is fascinating how much higher Patterson scores compared to Austin.

Total Plays

Name

Eluded

Eluded/Play

Pct.

Patterson

72

42

171%

Austin

89

105

85%

Woods

38

77

45%

The difference in how efficient these three players are with making defenders miss is startling. It’s hard to believe Austin and Woods combined still made fewer defenders miss than Patterson on a percentage-per-play basis.

Next let’s examine how these receivers made defenders miss.

  • Pressure cut: Fake one way and goes another while maintaining forward momentum.
  • Jump cut: Jumps to a side to avoid defender, but no forward momentum.
  • Speed:  Runs by a defender, outruns pursuit angle, or runs around defender.
  • Power: Runs through a contact tackle attempt by moving forward through defender.
  • Spin: Runs through contact or no-contact tackle attempt by spinning around defender.
  • Hurdle: Jumps over a defenders tackle attempt

On many plays I watched, these receivers used multiple methods in combination to make a defender miss them.  I selected the one method each used that was the biggest factor.

“Power,” may seem like it shouldn’t belong on this list, but I think it’s important to note plays where the ball carrier diminished a defender’s position to reduce the contact to a glancing blow, an arm tackle, or the runner attacked first and made contact with an off-balance defender.

Here are the types of moves this trio of receivers used to make defenders miss tackles.

Pass

Name

Pressure

Jump

Speed

Spin

Hurdle

Power

Total

Patterson

6

5

3

2

1

10

27

Austin

6

5

7

3

0

4

25

Woods

4

4

7

2

0

7

24

The number of plays where Patterson and Woods bounced off a glancing blow from a defender matches what one might expect from their size compared to Austin. However, Patterson’s repertoire and frequency of other moves is as prolific in every way with the exception of the speed route.

This just speculation, but from what I have seen, Patterson was often targeted in tighter coverage than the likes of Austin. The slot receiver was a frequent target on crossing routes where the speed component of elusiveness would come into play. In contrast, Patterson played in a system where he ran slants, fades, and other perimeter routes breaking back to the quarterback, which forced him to run through glancing shots. Woods, a receiver in a west coast offense, ran a lot of crosses, fades, and slants and the variety of moves falls between Austin and Patterson.

Run

Name

Pressure

Jump

Speed

Spin

Hurdle

Power

Total

Patterson

7

9

4

0

0

3

23

Austin

3

7

6

0

0

4

20

Woods

3

0

0

0

0

0

3

The use of power in the run game was slightly in favor of Austin. This might be explained by the frequency the West Virginia used Austin as a runner, making the plays a common part of every series so defenses were in better position to force contact.

Punt

Name

Pressure

Jump

Speed

Spin

Hurdle

Power

Total

Patterson

2

5

0

0

0

0

7

Austin

5

3

15

3

0

1

27

Woods

0

4

3

1

0

0

8

Kick

Name

Pressure

Jump

Speed

Spin

Hurdle

Power

Total

Patterson

9

2

3

0

0

1

15

Austin

5

1

8

0

0

3

17

Woods

1

0

1

0

1

0

3

It’s no surprise that the nature of a punt return would allow for more jump cuts and spin moves than a kick off.

Total Touches

Name

Pressure

Jump

Speed

Spin

Hurdle

Power

Total

Patterson

24

16

10

2

1

19

72

Austin

19

16

36

6

0

12

89

Woods

8

8

11

3

1

7

38

Considering what I speculated about the type of moves these players use, I also examined the depth of the zone where these players made receptions:

  • Short: Anything caught from behind the line of scrimmage to 7 yards.
  • Intermediate: Receptions greater than 7 yards but less than 20 yards.
  • Deep: 20 yards or more.

For example, if a player advances a reception from the 5 yard line to the 40 yard line, it will still be counted as a short reception.

Range of Field Where Plays Began

Name

Short

Int.

Deep

Total

Patterson

10

6

0

16

Austin

42

3

1

46

Woods

58

3

2

63

Nothing unexpected thus far, the most opportunity to elude a defender after the catch occurs in the zones of the field with the highest concentration of defenders.

Types of Moves by Range of Field – Short Zone

Name

Pressure

Jump

Speed

Spin

Hurdle

Power

Total

Patterson

3

4

1

0

0

4

12

Austin

6

5

5

3

0

3

22

Woods

4

4

6

1

0

7

22

The sample for Patterson is roughly half that of his peers, but it appears he leans more on power and jump cuts than Austin in the short range of the field. Again, is this due to style or play? A screen pass or slant would call for more jump cuts than a crossing route. It would also include more power moves.

Types of Moves by Range of Field – Intermediate Zone

Name

Pressure

Jump

Speed

Spin

Hurdle

Power

Total

Patterson

3

1

2

2

1

6

15

Austin

0

0

2

0

0

0

2

Woods

0

0

0

0

0

0

0

One of the reasons for the difference in elusiveness appears to be use. Austin’s opportunity to make plays in the open field on intermediate routes was limited in this 12-game sample. Woods’ was non-existent. Based on observation, Woods’ intermediate plays tend to be outs, comebacks, corner routes, or fades with either tight coverage or the catch hugging the sideline.

Still, Patterson has had some of these style routes and demonstrated a level of athleticism above and beyond Woods to generate additional yards –not enough to make this a definitive explanation for the difference in this sample, but something to think about.

Types of Moves by Range of Field – Deep Zone

Name

Pressure

Jump

Speed

Spin

Hurdle

Power

Total

Patterson

0

0

0

0

0

0

0

Austin

0

0

0

0

0

1

1

Woods

0

0

1

1

0

0

2

When successful, deep zone plays offer fewer defenders to beat. At the same time deep plays often require adjustments that either result in an unchallenged run to the end zone or the play is down after the catch due to the adjustment or tight coverage.

Woods may lack the elusiveness factor of Patterson and Austin, but his game translates best to the widest range of NFL teams. Photo by Neon Tommy.
Woods may lack the elusiveness factor of Patterson and Austin, but his game translates best to the widest range of NFL teams. Photo by Neon Tommy.

Takeaway

Patterson has made more defenders miss on fewer plays than Austin and Woods. To the naked eye, the Tennessee wide receiver’s open field skills are at a level above the rest of the wide receiver class. It also appears this way when looking at it from this perspective. However, tracking these players in this fashion has also revealed that the type of plays used have a significant influence on the types of moves these players employ and likely the success.

It also raises questions about the type of moves that will or won’t work against NFL defenses. Patterson’s is neither as polished as Woods nor as versatile as Austin. It means that one of two things will have to happen for Patterson to enjoy similar success in the NFL:

  1. Patterson will need to sharpen his route running.
  2. His seemingly other-worldly, open-field skills at the college level will have to translate to the NFL.

All three receivers are fine NFL prospects. This breakdown goes to show that each player has a stylistic fingerprint. Some of these styles may or may not work in the NFL. Others may work best in a specific scheme. Then there are some that have a chance to work regardless of the offense.

Woods may not make as many players miss as Austin or Patterson, but his skill as a route runner and pass catcher should make him a fit in any NFL system. Woods’ big plays come from the catch itself more often than after it.

Austin might show us a facet of his game that wasn’t used much at West Virginia, but it’s more likely that he’ll be a short-to-intermediate threat whose big plays come after the catch. It means he’ll have to become a high-volume receiver in the NFL with the versatility to contribute as a runner is packages that include screens, draws, toss plays and jet sweeps.

Patterson has the physical dimensions, budding skills, and experience to earn a living like Woods, but his special skill for creating after the catch at a higher level could make him a Pro-Bowl player, but if his skill at making defenders miss diminishes versus the enhanced athleticism of the NFL and he doesn’t compensate by learning the techniques that Woods displays to get open, the Tennessee wunderkind could flop. For Patterson it might come down to how special his elusiveness is and this sample reveals it might be good enough.

You can follow Nick Whalen on Twitter @_NickWhalen

For analysis of skill players in this year’s draft class, download the 2013 Rookie Scouting Portfolio available April 1. Prepayment is available now. Better yet, if you’re a fantasy owner the 56-page Post-Draft Add-on comes with the 2013 RSP at no additional charge. Best, yet, 10 percent of every sale is donated to Darkness to Light to combat sexual abuse. You can purchase past editions of the Rookie Scouting Portfolio for just $9.95 apiece.

Reads Listens Views 3/1/2013

I wish I was servin' this up, but the menu below is still pretty good. Photo by Joe Bryant.
I wish I was servin’ this up, but the menu below is still pretty good. Photo by Joe Bryant.

I’m serving it up once again at the RSP headquarters and I want to thank all of you for reading, following, and investing (see below) in the RSP blog. I’m about 6-8 players away from finishing film study and the 2013 RSP publication is on track for its April 1 publication date. If you are new to my blog, I post a Reads Listens Views article every Friday. It’s a little football, a little music, and a lot of things I want to share that are about world at large.

Thank you for making the RSP possible.

Listens I: Music to Read By – “Space Captain”

[youtube=http://youtu.be/QkzLatem0VY]

Football Reads

Listens II: Music to Watch Wide Receivers By – “Chatter”

[youtube=http://youtu.be/lxeqqBLR4zE]

I remember seeing Stern in Miami when I was 19 and he still kicks ass.  The tenor and drum solos got the most applause – deservedly so. If you like wild rides then is a good one.

Non-Football Reads

Listens III: Tedeschi Encore

[youtube=http://youtu.be/AIZ6beIGO9s]

Views: Six Reasons to Buy the 2013 Rookie Scouting Portfolio (No Order of Importance Needed) – You can pre-order now or buy April 1 when available for download.

  1. You’re Investing in the RSP Blog: Your purchase indicates this blog is worth reading. I can allocate time and resources into it and provide additional free analysis and host projects with great football writers.
  2. You Get Free, In-Depth Analysis of Players at the Blog That Few Discuss Until They Show Something in a Game: 
  3. Right or Wrong About Players, You See “My Math”:In the back of the RSP is hundreds of pages of grade sheets, play-by-play analysis, and a glossary that defines my grading criteria.
  4. Speaking of Dynasty Leagues . . . Here Are Some Noted “Values” From Past Publication Pre-Draft Fantasy Rankings
    • Randall Cobb No.3
    • Ahmad Bradshaw (No.4)
    • Ray Rice (No.2)
    • Matt Forte (No.5)
    • Joseph Addai (No.3)
    • Maurice Jones-Drew (No.5)
    • Steve Smith (NYG No.3)
    • Russell Wilson (No.4)
    • Demarco Murray (No.4)
    • Andre Roberts (No.5)
    • Eric Decker (No.6)
    • Aaron Hernandez (No.1)
    • Dennis Pitta (No.4)
  5. And Players I Thought Were Overvalued . . . 
    • Robert Meachem (No.14)
    • Tim Tebow (No.11)
    • Ted Ginn (N/R)
    • Matt Leinart (No.3)
    • Lendale White (No.6)
    • Darren McFadden (No.11) *Yes, too low perhaps – but has he been a consistent fantasy option?
    • Andrew Caldwell (No.12)
    • James Hardy (No.11)
  6. You Show Children That You Care About Protecting Them: After the Penn State Scandal, I decided to make it a long-term commitment of the Rookie Scouting Portfolio to donate 10 percent of every sale to Darkness to Light’s mission to end sexual abuse through community training and awareness.

Walk on The Wildside: Notes From the RSP Bunker

Can you guess a person's native state by his name? Apparently my wife could with Cordarrelle Patterson. Happy New Year (photo by Nashville Corps).
Can you guess a person’s native state by his name? Apparently my wife could with Cordarrelle Patterson. Happy New Year (photo by Nashville Corps).

It’s been a productive summer and fall at the RSP Film Room. I am closing in on finishing  play-by-play evaluations of 130 different skill position players as my winter vacation is ending and I thought I’d provide a few highlights of what I’ve seen this week. Most of this is lighthearted analysis in three short segments: My Readers Are Smart…But My Wife Might Be Smarter; Duke Johnson: Signs of a Waldman Family Apocalypse; and Big Nasty.

My Readers Are Smart…

I love when I write about one player and I get numerous questions about a different one. This happened with my analysis of Justin Hunter. The Tennessee wide receiver is a freakish talent, but potentially one of the riskiest players at the top of this draft class because of poor habits on both the practice field and on game day. My readers continued to ask me about his teammate Cordarrelle Patterson. I knew I’d eventually get to Patterson but I waited for my vacation because I figured I was going to see something fun and when I enjoy watching a player, I get so pumped up that I have trouble sleeping if I’m studying games at night. Patterson hasn’t disappointed:

[youtube=https://www.youtube.com/watch?feature=player_detailpage&v=hIZwwkdSjiY#t=72s]

His 44-yard run after the catch for a 58-yard gain was just one of many like it. In fact, I wonder if Patterson’s terrific instincts and vision in the open field are making Hunter try to do the same things – and fail miserably at it. Hunter is so gifted, I sometimes think he’s trying to mimic his teammate and is in denial that he can’t match Patterson.

But My Wife Might Be Smarter.

The best highlight of the night was probably what happened after my wife walked into the office, saw Patterson make this run, and asked me his name. When I told her, she said that with a name like that he’s probably from South Carolina.  Sure enough, Rock Hill, S.C.  

I had to test her further.

“How about Stepfret Williams?”

“Definitely, from the South.”

“Well yeah, but what state?”

“Probably the South a lot of folks up North are scared about – rural Alabama, Mississippi, Louisiana.”

Yep, Louisiana. If this were a game at a fair, we would have enough giant stuffed animals to start an E-Bay business if we weren’t banned from the theme park altogether.

Duke Johnson: Signs of a Waldman Family Paradox 

My wife went to school at UNC Chapel Hill.  According to her, I have to say the Chapel Hill part or else I’m not qualifying it correctly. A native North Carolinian is particular about their UNCs. When I’m feeling like getting a rise out of her I bring up the Tar Hell-Blue Devil rivalry and it’s the only time I get threats about divorce. [Editor’s Note: This was a complete Freudian slip on my part. It is “Tar Heel.” Unless of course, you’re a Dukie.]

“Alicia, what if one of our kids wants to go to Duke?”

“No kid of ours will ever go to Duke. Why are you even asking me such a stupid question?”

“Wait a minute, you mean to tell me that if one of our kids earned a scholarship to Duke, they couldn’t go?”

“Again, this is a dumb-ass question. Our kids will know that Duke is kidding itself when it says it’s the Harvard of the South. Who says that? Harvard is Harvard. Stop. It’s over. You haven’t gotten in. If you have to describe yourself on the back of another school then you know what’s really going on there.”

“So what if our kid earned a basketball scholarship to Duke?”

“Our kid will earn an academic scholarship and will be smart enough to realize that most Duke ball players wind up playing in Europe.”

“What if our kid chooses Duke because there is a specific program that few other schools of its quality offer?”

“Then you’re gonna have to move out and live in Durham with them in an apartment and you ain’t comin’ back home, that’s for sure.”

With lines drawn like these, it stands to reason that the only “Duke” that I can mention in the house without risking a night on the couch is the one who shares my wife’s maiden name and plays at my first university – Miami. Even so, when I invoke his name she gets a look on her face like I named a kid Hitler Rosenberg, or Hashtag Smith.   If you haven’t seen the freshman running back, check out these two touchdown runs against Boston College. You’ll be hearing a lot about this ACC Freshman of The Year soon enough.

[youtube=http://youtu.be/7VGs_szTbwo]

Johnson reminds me of that old East Carolina Johnson. Perhaps not as fast, but the new Miami version has even better balance.

Big Nasty

The tight end class might be the gem of the skill positions in the 2013 draft. Cincinnati Travis Kelce is one of many impressive prospects I’ve watched this year, including this weekend. He’s one of the best blockers I’ve seen at the position and because Cincinnati runs a pistol offense, Kelce plays the H-Back role to perfection. His dimensions are Gronkowski-like and he’s a big, aggressive, and nasty run blocker. He also has fluid athleticism and at 265 pounds, you don’t see a tight end move like this unless he has starter potential in the NFL.

[youtube=http://youtu.be/nBIK_P5c6c4]

I know the Washington Redskins have Fred Davis, but as I mentioned to my Football Outsiders cohorts this weekend, if Washington wants to find a player who can take over if Davis’ Achilles tear doesn’t recover sufficiently, or he opts to sue himself and represent both parties in a court of law, Kelce would be a fantastic fit for Robert Griffin. Then the “Shanaclan,” – as my buddy Bloom calls Mike and Kyle – can end the Niles Paul-tight end experiment and keep him as a receiver and kick return specialist.

Happy New Year!