25

October

Packing the Stats: Rushing to Conclusions Follow-Up

Packing the StatsIn response to the low yards per attempt by Alex Green last weekend, we had some good discussion in the comments regarding my statistical research on how the rushing game affects the success rate of NFL teams in the past ten years. The data seemed to show that the number of attempts had a higher correlation with winning than average yards per attempt.

Some people agreed, bringing up the Packers’ success during the two halves of the Seahawks and Colts games when they committed to running the ball more. Others argued that this was more of a secondary outcome, in which winning causes increased attempts and not the other way around.

We even had some suggestions for further statistical research, such as parsing out big runs and even comparing correlations in the passing game.

Before continuing my future research, I wanted to do a quick aggregate of both total attempts per game and total yards per game. These two categories showed a higher correlation to winning than yards per attempt, so what if we looked at them together?

Below is a table that charts win percentage in relationship to both attempts and yardage. Take a look:

Rushing Statistics and Success Rate, 2002-2011

Rushing Statistics and Success Rate, 2002-2011

First and foremost, this was an outcome I did not expect at all. Logic told me that we’d see more of a “diagonal” relationship with win percentages. In other words, the higher the yards and attempts combined, the better the percentage.

5

July

Packing the Stats: James Jones vs. Donald Driver

Here’s a post that is sure to spark some heated debate. We’ve had quite a few comments lately about the infamous James Jones and his comparison to the esteemed Donald Driver. Most of this has stemmed from two points of contention: (1) the Green Bay Packers’ decision to keep Driver despite his declining performance, and (2) the reputation of Jones in regard to dropped passes.

So, as I am wont to do, I took some time to research each of these player’s performances in 2011. I discovered some interesting things along the way, but let me first present to you some of the raw statistics (thanks to PFF):

 

J. Jones D. Driver
Snaps 514 521
Pass 376 419
Run Block 179 144
PFF Rating -2.2 -4.4
Penalties 1 0
Targets 54 54
Receptions 38 37
Catch % 70.4 68.5
Yards 635 445
Yds. / Rec. 16.7 12
YAC 292 142
YAC / Rec. 7.7 3.8
Longest 70 35
TD 7 6
INT 2 0
Drops 6 8
Missed Tackles 6 1
Fumbles 1 0

 

11

April

Packing the Stats: Numbers and Notes From Around the Web

As you may know from reading my past blog posts, I love me some stats. I don’t think they’re the be-all and end-all when it comes to football, but I do think they are a useful tool to use when analyzing a team, a unit, or a player. Perhaps that’s why I enjoy following sites like Pro Football Focus (PFF) and Football Outsiders (FO).

These two groups of data crunchers put a lot of time and critical thought into representing the performance of players and teams in the form of numbers. Through careful observation and grading of every play of every football game of the year, these statisticians are able to eventually tell us which team’s offense is performing the best based on their results and the strength of the defenses they’ve played.  Or they can present a numerical “grade” for an individual player for something like “pass blocking efficiency.”

Like I said before, they provide a great tool for professional football analysis. We can use the information to either support what we think we’ve seen, or use it as a jumping off point to examine something further.

So without further ado, here are some interesting tidbits I’ve read about Green Bay Packers players as presented by the teams at Pro Football Focus and Football Outsiders. Take them as you will.

FOOTBALL OUTSIDERS

12

March

Packing the Stats: Who can the Packers find at pick 28?

Greg Gabriel at the National Football Post (a great website that I highly recommend) recently published an article entitled “How clubs strategize for free agency and the draft” which postulates an interesting idea that when picking at a certain position in the draft, a team can expect a certain number of players at a position to be picked ahead of them (if that sounds confusing please check out his article where he goes more indepth in the concept).  For instance, if a team just won the Super Bowl and is picking last in the 1st round and is interested in drafting a quarterback, they can reasonably expect to see the 3rd or 4th best quarterback still available because on average 2-3 quarterbacks get drafted in the 1st round.  If you think about it, there are only so many “can’t miss” 1st round draft picks produced every year and usually their positions are distributed rather evenly (factored in with the nature of the NFL).  Obviously some years can be strong years for certain positions, like this year with defensive ends, but on average the amount of players in a certain position selected remains relatively constant.

With that in mind, the question I had is which players are statistically likely to be available at pick 28 for the Packers and which picks would make sense compared to previous years.  To do that I complied a list of every draft from the 1st pick overall to the 28th pick overall from 2005 (the year Ted Thompson became the general manager) to 2011 and then computed the average number of players at a position taken and their standard deviation between each year.

23

November

Packing the Stats: Running Back Role Reversal

One of the big problems with playing 3 games in 10 days is that injuries are that much more devastating.  In particular, having only 3 days to get healthy for Packers such as Greg Jennings and James Starks will be a particularly difficult task.  In my opinion, there’s no huge rush to push Jennings if he isn’t a 100% ready.

Jordy Nelson (who happens to be white) has had a career year and Jermichael Finley is a near lock to be the focal point of the defense even if he isn’t targeted all that much.  After that, there is always Donald Driver, James Jones, Randall Cobb or maybe even Andrew Quarless who is capable of having a fantastic game in Jennings’ absence.

Not so much with James Starks.  While still technically the backup to Ryan Grant, anyone who has watched a Packers game (save perhaps the Bears game) understands that Grant is really backing up Starks.  The difference between the two can be summed up pretty easily; Starks is the better performer but Grant is the more dependable of the two.


Totals
 Grant Starks
ATT 73 120
YDS 267 545
AVR 3.65 4.54
STD 3.69 6.34
STOP 16. 25
ATT/STOP 4.56 4.8

25

October

Packing the Stats: Regression of The Secondary

The Packers may be perfect in the win-loss column, but it would be foolish to assume that everything with the Packers is going perfectly.  The last 3 years the Packers have fielded competitive teams each with its own Achilles’ heel; in 2009 it was the offensive line, in 2010 it was the running game and this year it’s definitely the secondary.

While everyone one has heard that the Packers are near the bottom of the barrel in terms of passing defense, is it because they’ve played against elite passing quarterbacks? Is it because they’ve played against pass-first teams?  Or is it because the secondary simply isn’t as good as it was when they won the Super Bowl?

I decided to take a look at passing averages of teams that Packers have played.

The first section are the numbers posted by opponents while playing the Packers.

The Second section are the passing averages of Packers opponents not including the Packers game (i.e. how these teams did against other teams on their schedule).

The final section is the difference between the two and the last bit is the average of these differences.

For the columns, PASS is the total passing yards, COMP is completions, ATT is attempts, TD is passing touchdowns, INT is interceptions, COMP% is completion percentage and PY/A is passing yards per attempt.

 


VS GB
PASS COMP ATT TD INT COMP% PY/A
NO 419.00 32.00 49.00 3.00 0.00 65.3% 8.55
13

January

Packing the Stats: Packers Tight Ends Forgotten with Finley Gone

In each of the past three games, Aaron Rodgers and the Green Bay Packers offense have done something they have only done once since Week 5: thrown a touchdown pass to a tight end. Donald Lee accounts for two of those touchdowns, and we just saw Tom Crabtree score his first NFL touchdown in Sunday’s NFC Wild Card game against the Philadelphia Eagles.

All of the touchdown passes came from near the goal line, and both of the scoring tight ends had fewer than 10 total yards of production in each game.

After the final regulation game against the Chicago Bears, frequent commenter “Ron LC” made an interesting note about Mike McCarthy’s use of the tight end this season. He wrote: “Lee’s TD last week has identified an area where MM seems to have given up. The TE as a key player in getting the 1st down and controlling the ball.”

In response to this, I decided to do some research to see if it was an accurate assessment. What I found was interesting, but not totally surprising.

The following chart and graphs present the data I uncovered (click on the chart for full resolution):

KEY

TARG% = TE Targets / Total Pass Attempts
YDS% = TE Yards / Total Pass Yards

TD% = TE Touchdowns / Total Passing Touchdowns
First Down TE% = TE First Downs / Passing First Downs


LOSING FINLEY HURT PRODUCTION . . .