Wednesday, August 28, 2013

Rookie Passing Charts (Preseason Edition)

After charting the Packers passers and top seniors, I decided to take a stab at the rookie passers. Disclaimer: small sample sizes ahead, don't overreact.

Geno Smith vs Detroit


E.J. Manuel vs Minnesota


Mike Glennon vs New England


Mike Glennon vs Baltimore


Mike Glennon combined chart


Matt Barkley vs New England


Matt Barkley vs Carolina


Matt Barkley combined chart


Ryan Nassib vs Pittsburgh


Ryan Nassib vs Indianapolis


Ryan Nassib combined chart


Tyler Wilson vs Dallas


Tuesday, August 27, 2013

Packers Preseason Passing Charts (Week 3 Update)

Aaron Rodgers vs Arizona


Aaron Rodgers vs St. Louis


Aaron Rodgers vs Seattle


Aaron Rodgers Combined Chart


Vince Young vs Arizona


Vince Young vs St. Louis


Vince Young vs Seattle


Vince Young Combined Chart


B.J. Coleman vs Arizona


B.J. Coleman vs St. Louis


B.J. Coleman vs Seattle


B.J. Coleman Combined Chart









Packers Roster Prediction (8/27 Update)

Offense (24)


Quarterback: Aaron Rodgers, Vince Young (2)

Running Back: Eddie Lacy, Johnathan Franklin, Alex Green, James Starks (4)

Fullback: John Kuhn (1)

Wide Receiver: Jordy Nelson, James Jones, Randall Cobb, Jarrett Boykin, Jeremy Ross (5)

Tight End: Jermichael Finley, D.J. Williams, Andrew Quarless, Matthew Mulligan (4)

Offensive Line: David Bakhtiari, Josh Sitton, Evan Dietrich-Smith, T.J. Lang, Don Barclay, Marshall Newhouse, Greg Van Roten, Lane Taylor (8)


Defense (26)


Defensive End: B.J. Raji, C.J. Wilson, Datone Jones, Mike Daniels (4)

Nose Tackle: Ryan Pickett, Johnny Jolly (2)

Outside Linebacker: Clay Matthews, Nick Perry, Mike Neal, Nate Palmer, Andy Mulumba (5)

Inside Linebacker: Brad Jones, A.J. Hawk, Robert Francois, Jamari Lattimore, Sam Barrington (5)

Cornerback: Tramon Williams, Sam Shields, Casey Hayward, Jeremy Hyde, Davon House, Jarrett Bush (6)

Safety: Morgan Burnett, Jerron McMillian, M.D. Jennings, Chris Banjo (4)


Special Teams: Tim Masthay, Mason Crosby, Brett Goode (3)


PUP: J.C. Tretter (OG/OC), Jerel Worthy (DE), Derek Sherrod (OT), Sean Richardson (SS)


IR: Bryan Bulaga (OT), DuJuan Harris (RB)

Friday, August 23, 2013

2014 NFL Senior Draft Class Passing Charts

As an extension to the article I wrote for Optimum Scouting, I have decided to post an link to download all of the passing charts and metrics I used for the study.

You can find that here: http://www.mediafire.com/?dzb42m4iezgcnht


Included in the document:

Jeff Mathews vs Yale, Dartmouth, and Penn

Stephen Morris vs North Carolina State, Duke, Florida State, Georgia Tech, Virginia Tech, Virginia, and North Carolina

David Fales vs Stanford, Louisiana Tech, Bowling Green, and BYU

Tajh Boyd vs North Carolina State, Georgia Tech, Duke, Florida State, LSU, South Carolina, Boston College, and Auburn

A.J. McCarron vs Georgia, LSU, Mississippi State, Notre Dame, Texas A&M, Western Kentucky, and Tennessee

Zach Mettenberger vs Alabama, Clemson, Washington, Mississippi State, Florida, and Arkansas

Derek Carr vs Boise State, SMU, and Oregon

Bryn Renner vs Duke, Maryland, Miami, North Carolina, and Virginia Tech

Aaron Murray vs Alabama, Tennessee, Auburn, Vanderbilt, Georgia Tech, Florida, South Carolina, and Buffalo

Logan Thomas vs Georgia Tech

Plus:

Combined charts

Advanced charts (YPC, YPA, COMP%, TD%, INT%)

Usage charts (ATT%, YARD%)

Off-Season Quarterback Study

"Over this past off-season, I've conducted a bit of a study on who are presumably the top nine senior quarterbacks of the 2014 NFL Draft class. What I did was chart their passes (something as old as scouting itself), then I ran some efficiency metrics using those numbers. All in all, I charted 52 games in total, about six games per prospect."

You can read the rest here: http://www.optimumscouting.com/draft/articles/2014-nfl-draft-justis-s-off-season-quarterback-study.html

Wednesday, August 21, 2013

Packers Preseason Passing Charts (Week 2 Update)

Aaron Rodgers vs Arizona


Aaron Rodgers vs St. Louis


Graham Harrell vs Arizona


Graham Harrell vs St. Louis


Vince Young vs Arizona


Vince Young vs St. Louis


B.J. Coleman vs Arizona


B.J. Coleman vs St. Louis


Tuesday, August 20, 2013

Ted Thompson and Combine Measurables

It's the off-season, and things are quiet, so I decided to make a spreadsheet of all the players the Thompson-Era Packers have selected, for the purposes of possibly finding draft tendencies.

I highlighted the "worst" measurables (slowest times, shortest, lightest, lower jump numbers) in red and the "best" measurables in blue. I also included pro day numbers if the player hadn't performed the drill at the combine. The numbers with the black boarders around them are pro day numbers.

I also only included the 2009-Present front seven, because in 2009 the Packers switched from a 4-3 defense to a 3-4 defense.

Quarterback

Running Back

Wide Receiver

Tight End

Tackle

Guard

Center



Defensive End

Nose Tackle

Outside Linebacker

Inside Linebacker

Corner Back

Safety

Special Teams

Underrated and Overrated NFL Teams Based on Close Games

KEY:

Actual Wins: How many games a team actually won in a given year.

Decisive Wins: Wins by seven or more points.

Decisive Losses: Losses by seven or more points.

Close Games: A game within six or fewer points.

Average Wins: How many games a team won if you weight games as so:
Decisive Wins: 1
Close Games: .5
Decisive Losses: 0

The Theory

Too many times, the narrative in football is that good teams win close games. This simply isn't true. By in large, if a team wins many more close games than they lose, the team isn't as good as its record. They got lucky. Records will lie to you.

A large majority of teams have a close game win percentage of roughly 50%. How large is the majority? Between 2008-2012 only 30 teams have had their Actual Wins within two wins of their "Average Win" total. That means 81.25% of teams over five years fit the narrative that close games are about 50/50 shots.

To go more in-depth with Average Win, I'm going to give an example:

Let's say the Houston Oilers start off the season like this:

Loss by 2
Loss by 4
Loss by 1
Loss by 1
Loss by 1

That leaves them with an actual record of 0-5, even though they only lost by a combined 10 points. Since I have found there is a value in close losses, I combined close wins and close losses, making them count as Close Games instead of Win/Loss like traditional win percentage.

Houston Oilers
Actual Win: 0
Average Win: 2.5 (5 close games x .5)
Difference: 2.5 

Difference is simple, think of it as |Actual Win-Average Win|. It's the distance between Actual Win and Average Win.

If the Oilers kept this trend going, they'd qualify as one of the 18.75% of outliers which got either extremely lucky or unlucky by having a difference of two or more. Of the 26 teams between 2008-2011 (can't use 2012 data because I don't know their 2013 records), you will find a striking revelation.

Here are the "overrated teams" of 2008-2012. These are teams that won two or more games over their Average Wins. Only two teams (2008 Indianapolis Colts and 2010 New Orleans Saints) improved their record the next season. 2012 teams that qualified as "overrated" are the Indianapolis Colts, Houston Texans, and Atlanta Falcons.


Here are the "underrated teams" of 2008-2012. Only the 2011 Philadelphia Eagles had a worse record the year after they lost two or more games than their Average Wins suggested. The 2012 Carolina Panthers qualified for this list.


So, although it's a small sample size, only 3 of 26 teams that qualified for the overrated/underrated lists were incorrectly projected to improve/decline the next season. Out of those 3, 2 of them barely qualified with a difference of two. Only the Indianapolis Colts of 2008 disregard the narrative at all.

Why does this trend happen? Well, one reason is the penalties the NFL has against teams which perform well. If you win games, you get a lower draft pick, and you're scheduled against teams that finished in the same spot in their division in your same conference. If you were the 4th best team in the NFC South, but you ended up winning the conference, you play all the teams that won NFC conferences the next year. Already with an inflated record, you can't keep up with those good teams, leading to more losses.

If you are betting man, my advice would be to not bet on the Colts, Texans, or Falcons to improve, or the Panthers to decline, in 2013.

The Top 10 Senior Quarterback Prospects in the Red Zone

No matter what system you play in, the great equalizer is the red zone. Once you hit the 20, you stop caring so much about field position, and the focus goes to putting yourself into position to score within about three or so plays. I always find red zone numbers interesting, and I decided to compile the situational stats on the ten draftable quarterbacks in the 2014 class. The charts are listed game by game, then compiled in the last row.


Tajh Boyd [Clemson]

Derek Carr [Fresno St]

David Fales [San Jose St]

Jeff Mathews [Cornell]
(missing Bucknell/Columbia)

A.J. McCarron [Alabama]

Zach Mettenberger [LSU]

Stephen Morris [Miami]

Aaron Murray [Georgia]

Bryn Renner [North Carolina]

Logan Thomas [Virginia Tech]

Taking a deeper look, instead of looking at volume numbers, I broke down everyone's numbers by efficiency. The numbers I used were completion percentage (completions/pass attempts), interception percentage (interceptions/pass attempts), sack percentage (sacks/(pass attempts+sacks)), touchdown percentage (touchdowns/pass attempts), yards per attempt (passing yards/pass attempts), and yards per completion (passing yards/completions).

Interception Percentage

Sack Percentage

Touchdown Percentage

Yards Per Attempt

Yards Per Completion

Completion Percentage

Compiling the results of the efficiency stats, and giving all of them equal weight, this could be used as the rankings of the quarterbacks in the red zone:


The Mettenberger and Thomas numbers are disappointing, but the Mathews numbers were almost shocking to me. If I had to bet on why his numbers (sans YPC) are so low, I'd put a fair amount on his receiving corp. When watching him, his guys drop more balls than any non-Ebron player I've play for any of these quarterbacks. His yards per completion is good, showing that when his receivers actually catch the ball, they put up solid numbers.

Boyd's efficiency in the red zone is really astounding. Not only was he first in half the categories, and second in yards per attempt, but he was the best runner in the red zone, putting up 142 rushing yards and nine touchdowns on the ground.