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Targets and Catches (Part One)

One of the measures I am looking to track more in-depth in the future, in terms of my play-by-play data, is the notion of catches versus targets.  In the play-by-play data exists a line that I have yet allowed to go unrecorded: "Pass incomplete to _____."  Obviously I record that the pass is incomplete, but I have not really paid attention to who the pass was intended for.  It's a rather objective measure -- does everybody record who a pass was intended for the same way?  If the QB is throwing the ball away and it goes 20 feet over a certain receiver's head, does it count as an incompletion "to" that receiver?  Does every score-keeper even keep track of this?  Plus, if a ball is tipped by a receiver and intercepted (e.g. Jerrell Jackson in the Oklahoma State game), the "intended for" bit isn't recorded.  Clearly this is a piece of data that is rather inconsistent.

That said, this is also one of those measures where you figure that the inconsistencies balance out over time.  Even if it doesn't paint a perfect picture, it probably tells an interesting story.  Therefore, let's take a look at how our view of a receiver's (or quarterback's) performance changes when adding in "intended for" data.

The categories below are:

  • Catches: receptions
  • Targets: receptions + incomplete passes intended for that receiver (as recorded in the play-by-play data).  In general, you can think of those incomplete passes as either being a) dropped or b) too well-covered to be completed.  If your QB is accurate, you will obviously catch more of your targeted passes, but if you struggle to get open and clear space from the guy covering you, a lot more of your targeted passes are going to fall incomplete.
  • Catch%: the percentage of "targets" a receiver catches
  • Target%: the percentage of a team's overall targets aimed at a specific receiver

Without further ado, let's take a look at the last four years of Mizzou "target" data and see what it tells us.

2006

Image via Phoebe Sexton / Columbia Missourian

2006 Targets and Catches
Name Catches Targets Catch% Target%
Chase Coffman 58 89 65.2% 20.2%
Will Franklin 48 83 57.8% 18.8%
Martin Rucker 53 68 77.9% 15.4%
Jared Perry 37 55 67.3% 12.5%
Brad Ekwerekwu 32 50 64.0% 11.3%
Tommy Saunders 25 34 73.5% 7.7%
Danario Alexander 15 21 71.4% 4.8%
Jason Ray 6 15 40.0% 3.4%
Tony Temple 6 7 85.7% 1.6%
Greg Bracey 3 6 50.0% 1.4%
Marcus Woods 2 5 40.0% 1.1%
Earl Goldsmith 5 5 100.0% 1.1%
Jimmy Jackson 1 2 50.0% 0.5%
Andrew Hoskins 0 1 0.0% 0.2%
TOTAL 291 441 66.0% 100.0%

 

WRs: 60.1% of targets
TEs: 35.6%
RBs: 4.3%

 

Before looking at ensuing seasons, it is hard to get a grasp on what these numbers actually mean, but a couple of things should stick out pretty quickly.  First, thanks to a midseason bout with the dropsies, Chase Coffman's numbers were only decent, not great.  Martin Rucker was a rather automatic target at TE, but Coffman wasn't amazing.  Meanwhile, if your #1 WR is only catching 58% of the passes thrown at him, that is going to do a number on your completion percentage.

Anyway, before we try to interpret this too much, let's take a look at how 2007 unfolded.

Star-divide

2007

Image via ESPN.com

2007 Targets and Catches
Name Catches Targets Catch% Target%
Jeremy Maclin 80 111 72.1% 20.6%
Martin Rucker 84 108 77.8% 20.1%
Will Franklin 49 76 64.5% 14.1%
Chase Coffman 52 65 80.0% 12.1%
Tommy Saunders 41 55 74.5% 10.2%
Danario Alexander 37 48 77.1% 8.9%
Jared Perry 13 20 65.0% 3.7%
Derrick Washington 10 14 71.4% 2.6%
Jason Ray 8 10 80.0% 1.9%
Greg Bracey 3 9 33.3% 1.7%
Tony Temple 7 9 77.8% 1.7%
Earl Goldsmith 4 6 66.7% 1.1%
Jimmy Jackson 6 6 100.0% 1.1%
Blake May 0 1 0.0% 0.2%
TOTAL 394 538 73.2% 100.0%

 

WRs: 63.9% of targets
TEs: 32.2%
RBs: 3.9%

 

Despite a deep, experienced cast of receivers (Rucker and Franklin were seniors, Coffman and Saunders were juniors), Jeremy Maclin came out of nowhere to become Chase Daniel's most trusted receiver.  His 72% Catch%  was much higher than Will Franklin's 58% from the season before.  Meanwhile, MotherRucker stayed right around 78% while Chase Coffman improved dramatically, from 65% to 80%.  Franklin did improve to 65%, but he was still a far less reliable target than others around him.  Of course, he obviously ran deeper routes than guys like Coffman, Rucker or Saunders, so that might have something to do with it.  Then again, were his routes any different than those of Maclin?  Maclin still outshone him in that regard.

With Maclin and an extra year of experience for Chase Daniel, the overall Catch% rose from 66% to 73% in 2007.  This, of course, tells us nothing about how many passes Daniel chose to throw away (which would just go in the play-by-play as "pass incomplete" with no "intended for" information), but it does show that Daniel was completing one more pass for roughly every 14 catchable balls in 2007, and that could make a difference of 2-3 completions per game.

2008

Image via Chris Lee / Post-Dispatch

2008 Targets and Catches
Name Catches Targets Catch% Target%
Jeremy Maclin 102 135 75.6% 25.5%
Chase Coffman 90 102 88.2% 19.2%
Tommy Saunders 72 92 78.3% 17.4%
Jared Perry 41 60 68.3% 11.3%
Danario Alexander 26 43 60.5% 8.1%
Derrick Washington 29 38 76.3% 7.2%
Andrew Jones 20 24 83.3% 4.5%
Jerrell Jackson 9 13 69.2% 2.5%
Michael Egnew 4 8 50.0% 1.5%
Earl Goldsmith 5 6 83.3% 1.1%
Jimmy Jackson 3 4 75.0% 0.8%
Wes Kemp 1 2 50.0% 0.4%
Jon Gissinger 1 1 100.0% 0.2%
Brandon Gerau 0 1 0.0% 0.2%
Forrest Shock 0 1 0.0% 0.2%
TOTAL 403 530 76.0% 100.0%

 

WRs: 66.6% of targets
TEs: 25.5%
RBs: 7.9%

 

In 2008, Missouri lost Martin Rucker and his 78% catch rate but still improved as a team, from 73% to 76%.  Danario Alexander aside (this was the year he was recovering from knee injuries and was clearly not as confident/aggressive a receiver), just about everybody showed improvement.  Coffman improved to a sickening 88% (that means that eight of every nine balls that were thrown at him and were even remotely catchable, were caught...yeah, he deserved the Mackey Award), Saunders improved to 78%, which is the highest you'll see from a highly-targeted receiver, and even Maclin improved to 76%.  Having a ton of reps with the same quarterback helped a ton, I'm sure, as did the fact that said quarterback (Daniel) was as automatic as a computer in his reads, especially over the first half of the season.

So what happens when you lose your quarterback and your top three targets?  As shocking as it may sound, your numbers go down!

2009

Image via the one, the only Bill Carter

2009 Targets and Catches
Name Catches Targets Catch% Target%
Danario Alexander 107 145 73.8% 35.6%
Jared Perry 46 86 53.5% 21.1%
Jerrell Jackson 37 61 60.7% 15.0%
Wes Kemp 23 44 52.3% 10.8%
Derrick Washington 23 33 69.7% 8.1%
Andrew Jones 7 12 58.3% 2.9%
Rolandis Woodland 4 6 66.7% 1.5%
Michael Egnew 3 5 60.0% 1.2%
T.J. Moe 2 5 40.0% 1.2%
De'Vion Moore 3 3 100.0% 0.7%
Brandon Gerau 2 3 66.7% 0.7%
Kendial Lawrence 2 2 100.0% 0.5%
Gilbert Moye 1 2 50.0% 0.5%
TOTAL 260 407 63.9% 100.0%

 

WRs: 86.0% of targets
TEs: 4.2%
RBs: 9.8%

 

So here's where I start to get encouraged about Blaine Gabbert's prospects moving forward.  With a relatively similar cast of characters in the receiving corps (Alexander was clearly better than any receiver in 2006, but Gabbert was without anyone nearing the reliability of Rucker, so they cancel out) and the propensity for throwing many more deep balls than Daniel, the Catch% for Gabbert's sophomore season was almost identical to Daniel's.

Now, unless one of our redshirting freshmen is suddenly capable of pulling a Jeremy Maclin impersonation (doubtful, to say the very least), Gabbert will head into 2010 without his top two targets, which is obviously something Daniel didn't have to worry about heading into 2007.  However, while losing Alexander is a huge concern, losing Perry simply might not be too big a deal.  Jackson has done a lovely Perry impersonation in recent weeks, and besides, Perry's 54% catch rate is simply horrendous.  We know that Perry had a decent amount of bad luck this season -- how many times did Gabbert throw too high for him in the Oklahoma State game? -- but 54% is too low to blame simply on bad luck.  Over four seasons, Perry never topped 70%, and while Jackson's 61% is nothing impressive, it is still better than what Perry managed this season.  With another year (at least) of getting used to catching Gabbert's fastballs (and another year of Gabbert learning to keep the ball down as much as possible), I would expect Jackson's catch rate to be closer to the 65-70% range next year.

However, is that good enough?  Gabbert can be expected to improve a decent amount next year, but ... who becomes the #1 target?  And if it's Jackson, can Mizzou succeed at a high level with a #1 WR target catching only 65-70%, especially when there is suddenly no ultra-reliable tight end option to fall back on in times where a completion absolutely must be made?

Speaking of the tight end position, I guess this is the year in which we officially learned that WRs and TEs are basically exactly the same in this system.  Alexander's Target% of 35% this year was 10% higher than Maclin ever managed and came within 10% of matching that of Maclin and Coffman from 2008.  Lining up in the tight end slot position quite often, Alexander was actually able to approximately compensate for the loss of both players this year and catch passes at a very high rate for a receiver.  Meanwhile, thanks to Alexander being a WR, tight ends accounted for only 4% of targets this year, and that's only if you count Michael Egnew as a tight end.  The position disappeared from Mizzou's repertoire, but the passing numbers stayed relatively successful thanks to Alexander.  With Alexander gone in 2010, do we see guys like Andrew Jones or Egnew working their way back into Gabbert's sights, or will another big receiver like Wes Kemp move into that role?

I have a lot more questions here than answers, but answers weren't the purpose of this exercise.  I wanted to see if target data was viable and interesting, and while I found it both of those things, I'm curious what you think.

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Comments

Display:

Nicely Done

Impressive work. I don’t recall specifically, but in 2007 was Maclin the primary target for the WR screen (jail-buster or what ever it’s called)? Further, I thought Maclin ran a lot of the three-step slant over the middle, then outran the safety. Franklin was the primary outside receiver that ran the flag and go routes. Now, if these are true, that would explain (I think) the big difference in Catch %. Additionally, and again I may be wrong, but wasn’t one of the complaints in 2007 a lack of vertical speed (or was that in 2008 because Franklin was gone)? If so, then you’ve got a better-covered Franklin, but with more opportunity underneath for Maclin, Coffman, and Rucker.

Formerly known as Mizzou Grad

http://twitter.com/Ausgiano

by Ausgiano on Dec 8, 2009 12:24 PM CST reply actions  

This is great

It is interesting to see the production drop of from the ‘TE’ position, only to see a near equal compensation from the output of a particular WR that lines up in a ‘TE’ position in the MU scheme.

It will be difficult to try and keep track of true incomplete passes, and dropped balls. I guess we are going to have to try and invent a ‘pitch and hit’ fx like they have now in MLB. Perhaps the Forward Pass fx? Some real time analyzed video record of all passes, and one would have to evaluate what is indeed a pass that should have been caught.

Would this area have to be different sizes for different receivers and also from different QBs? Also if you go down that road how would you compensate for injuries? (ie a catchable pass from QB or to receiver prior to an injury should be different than if they aren’t hurt)

Will Ebners Hit Parade, Pain TV; Channel 32; All the time! (PDT)

by MarioVanPeebles Republic of China on Dec 8, 2009 12:51 PM CST reply actions  

I don't know

I don’t think that kind of precision is really necessary. I mean, sure, if someone came up with it, it would be awesome, but the data Bill’s presenting here gives a good picture of a piece of the puzzle that doesn’t usually get discussed. Is it 100% accurate? Nah, but neither do most of the measures we use to talk about sports really capture what’s going on (for example, interceptions are always charged to the QB, even when they happen because of a WR failure). Short version, Bill: this is awesome, and here’s hoping you find a way to integrate it into all the other amazingly sweet statistical analysis you already do.

That said, if they developed a Forward Pass FX mechanism, I don’t think it’d need to be different sizes – it isn’t like they adjust the size of the box in baseball based on how much a guy chokes up on the bat, or how long his arms are. I’d envision it something like a bullseye, where you track some like, concentric circles around the receiver, with the center being the ideal position (right in the hands, leading the receiver, I guess).

I actually started working on some stats at one point because I was curious if Chase was targeting Coffman and Maclin a disproportionate amount in the latter half 2008, the thought being that part of the offensive misfires were due to him concentrating to excess on those guys, but I never got it to a point where I could actually do the analysis. I ultimately concluded after watching some replays and things that it was largely attributable to his injured throwing hand (notice that any kind of deep routes completely disappeared after the OSU game).

Anyway, Bill, this is awesome. Good work.

I'm with William Quantrill. Go Missouri, beat Kansas.

by jaeger on Dec 8, 2009 1:10 PM CST up reply actions  

yep, I like the bullseye idea, that would be easier

You are correct that the type of precision I was starting to think about is probably not necessary. Sorry about that, just the Trends and Significant Data nerd exploded onto the page.

I was in no way trying to trivialize or lessen the awesomeness that Bill just drop on our nerd heads, it just got me thinking and I started to post.

If I did affront Bill, I did not mean too. This is one of the great steps towards a improved system of measure.

Will Ebners Hit Parade, Pain TV; Channel 32; All the time! (PDT)

by MarioVanPeebles Republic of China on Dec 8, 2009 1:32 PM CST up reply actions  

Oh, sorry

I didn’t mean to seem as though I was jumping to Bill’s defense or anything. I was just responding to the points you made, in hopes that someday, someone, somewhere will read this blog and use it to make mainstream sports analysis somewhat less terrible.

I’m a pretty big stat nerd, too – my plan with the 2008 passing data was to run honest-to-God statistical tests on it in a stat package I use for school.

All in all, I say, thank god for Bill and RMN in general, for providing a place for all us geeks who get irritated at bad analysis.

I'm with William Quantrill. Go Missouri, beat Kansas.

by jaeger on Dec 8, 2009 1:42 PM CST up reply actions  

Indeed!

Here! Here!

Thanks for the information ! Let us pray geeks like us can always get our stat fix here at RMN. Or I fear an uprising of epic proportions.

Will Ebners Hit Parade, Pain TV; Channel 32; All the time! (PDT)

by MarioVanPeebles Republic of China on Dec 8, 2009 3:03 PM CST up reply actions  

This is cool ...

… if only that it completely backs up my observation that Franklin and Perry had completely unreliable hands.

Would like to see Jackson’s (and Kemp’s) hands improve over the summer and I think we’re sitting pretty next fall.

Was once caught putting at night ... with the 15-year old daughter of the dean

by mitch cumstein on Dec 8, 2009 1:18 PM CST reply actions  

In 2006

I referred to Will Franklin as Clifford Franklin (from The Replacements) because of his constant case of the dropsies.

by Babbalynski on Dec 8, 2009 1:25 PM CST up reply actions   2 recs

Ha HA!

Rec’d for Replacements reference. Jon Favreau in that movie is one of my favorite things ever.

I'm with William Quantrill. Go Missouri, beat Kansas.

by jaeger on Dec 8, 2009 1:39 PM CST up reply actions  

Rec'd it too ...

… I love The Replacements … but mostly for Brooke Langton … she makes it worth it to sit through Keanu Reeves.

Was once caught putting at night ... with the 15-year old daughter of the dean

by mitch cumstein on Dec 8, 2009 2:24 PM CST up reply actions  

One of the best made characters in movie history

Hot cheerleader who knows football and owns a bar…does it get much better than that?

"Write a wise saying and your name will live forever." - Anonymous
Rock M Nation

by The Beef on Dec 8, 2009 7:55 PM CST up reply actions  

Hey Bill

not to have you crunch any more numbers…but is there any way you could take these numbers and see how many passes were “uncatchable” or “reciever drops” because the QB was being rushed or chased out of the pocket?

by leghumpingjihadkiller on Dec 8, 2009 3:48 PM CST reply actions  

I didn't record drops...

…but at some point I will. But beyond that, there’s nothing about what was catchable and what was not.

Rock M Nation
Thrust nunchuk upward!

by Bill C. on Dec 8, 2009 4:07 PM CST up reply actions  

Franklin vs. Maclin

“Franklin did improve to 65%, but he was still a far less reliable target than others around him. Of course, he obviously ran deeper routes than guys like Coffman, Rucker or Saunders, so that might have something to do with it. Then again, were his routes any different than those of Maclin?”

Yes, I think Franklin’s routes were different than Maclin’s. For all of his speed, Maclin was very often used as a possession receiver in the offense. Of course, I’m sure a detailed review of the tape will prove me wrong, but my impression is always of Franklin going deep, and Maclin more often getting the ball short and then trying to do something with it.

by Michael Atchison on Dec 8, 2009 4:16 PM CST reply actions  

I agree with you

Franklin was used almost exclusively to stretch the field. His YPC as a Junior were 17.3 and 14.5 as a senior. Aside from the rare screen, he was sent to attack the safeties and make room for the tight ends. Though, part of the reason for that was that he didn’t have great hands. Maclin’s an example of this staff’s willingness to use speed guys in the higher percentage passing game when they trust their hands. I liked him, but Franklin wasn’t that kind of player.

by parliamentlite on Dec 9, 2009 12:12 AM CST up reply actions  

It would seem that the next stat to integrate here would be range

You would expect very high completion percentages for short passes and lower ones for long passes (ball spends longer in the air, there’s more time for defenders to close, swat away jump-balls, play takes longer to develop, etc). This would work especially well if you could subtract the “yards after catch” from the pass yardage to give an approximate idea of how far the ball went in the air. For the purposes of accuracy it’s a different thing to track the ball down after it’s sailed 60 feet through the air, than it is to catch a 10 yard pitch and then run 50. (obviously a good short throw would set you up for a lot of down-field yardage, but that’s kind of extraneous to whether you snag the bloody thing out the air or not).

If you find a sensible relationship between accuracy and how far the ball went in the air, then you could try to control for the latter when handicapping how well the receivers were doing.

and the Mustache of Truculence (formerly Canada4Mizzou)

by Wan Ihite on Dec 8, 2009 6:49 PM CST reply actions  

unfortunately...

…all the play-by-play will ever say is “Pass complete to _ for 35 yards.”

Rock M Nation
Thrust nunchuk upward!

by Bill C. on Dec 8, 2009 6:52 PM CST up reply actions  

ya it would involve

intense game film sessions that would take hours and totally suck. rather than looking at the box scores and such.

" If I had a gun on a boat I would shoot you right here, right now"

by pinkelposse on Dec 8, 2009 8:55 PM CST up reply actions  

Interesting suggestion

As an aside, I just noticed that Danario has had completions of over 60 yards in the last five consecutive games. Who else has ever done that? His performance has been mind boggling. Not sure if anyone has commented on this yet.

by parliamentlite on Dec 9, 2009 12:17 AM CST up reply actions  

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